1. Genetics and Genomics
  2. Neuroscience

Translation of dipeptide repeat proteins in C9ORF72 ALS/FTD through unique and redundant AUG initiation codons

  1. Yoshifumi Sonobe
  2. Soojin Lee
  3. Gopinath Krishnan
  4. Yuanzheng Gu
  5. Deborah Y Kwon
  6. Fen-Biao Gao
  7. Raymond P Roos  Is a corresponding author
  8. Paschalis Kratsios  Is a corresponding author
  1. University of Chicago Medical Center, United States
  2. Department of Neurology, University of Chicago Medical Center, United States
  3. Neuroscience Institute, University of Chicago, United States
  4. RNA Therapeutics Institute, University of Massachusetts Chan Medical School, United States
  5. Department of Neurology, University of Massachusetts Chan Medical School, United States
  6. Neuromuscular & Movement Disorders, Biogen, United States
  7. Department of Neurobiology, University of Chicago, United States
https://doi.org/10.7554/eLife.83189
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Cite this article
  1. Yoshifumi Sonobe
  2. Soojin Lee
  3. Gopinath Krishnan
  4. Yuanzheng Gu
  5. Deborah Y Kwon
  6. Fen-Biao Gao
  7. Raymond P Roos
  8. Paschalis Kratsios
(2023)
Translation of dipeptide repeat proteins in C9ORF72 ALS/FTD through unique and redundant AUG initiation codons
eLife 12:e83189.
https://doi.org/10.7554/eLife.83189
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Abstract

A hexanucleotide repeat expansion in C9ORF72 is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). A hallmark of ALS/FTD pathology is the presence of dipeptide repeat (DPR) proteins, produced from both sense GGGGCC (poly-GA, poly-GP, poly-GR) and antisense CCCCGG (poly-PR, poly-PG, poly-PA) transcripts. Translation of sense DPRs, such as poly-GA and poly-GR, depends on non-canonical (non-AUG) initiation codons. Here, we provide evidence for canonical AUG-dependent translation of two antisense DPRs, poly-PR and poly-PG. A single AUG is required for synthesis of poly-PR, one of the most toxic DPRs. Unexpectedly, we found redundancy between three AUG codons necessary for poly-PG translation. Further, the eukaryotic translation initiation factor 2D (EIF2D), which was previously implicated in sense DPR synthesis, is not required for AUG-dependent poly-PR or poly-PG translation, suggesting that distinct translation initiation factors control DPR synthesis from sense and antisense transcripts. Our findings on DPR synthesis from the C9ORF72 locus may be broadly applicable to many other nucleotide repeat expansion disorders.

Editor's evaluation

This study by Sonobe et al. uses transfected cells and patient iPSC-derived neurons to define mechanisms underlying translation of the antisense CCCCGG RNA strand expressed in C9ORF72-associated ALS and FTD. The authors design a series of constructs to explore the start codon required to produce toxic PR and prominent PG dipeptides in disease. Using these constructs they provide solid data that translation in the PR and PG reading frames occurs due to the presence of AUG codons within the 5'UTR of the RNA strand.

https://doi.org/10.7554/eLife.83189.sa0

Introduction

The hexanucleotide GGGGCC repeat expansion in the first intron of C9ORF72 is the most common monogenic cause of inherited amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) (DeJesus-Hernandez et al., 2011; Renton et al., 2011). This mutation is predicted to cause ALS/FTD via three non-mutually exclusive mechanisms: (1) a loss-of-function mechanism due to reduced C9ORF72 protein expression (Liu et al., 2022b; Banerjee et al., 2023; Dane et al., 2023; Zhu et al., 2020), (2) a gain-of-function mechanism due to toxicity from repeat-containing sense (GGGGCC) and antisense (CCCCGG) RNA (McEachin et al., 2020; Parameswaran et al., 2022), and (3) toxicity from dipeptide repeat (DPR) proteins produced from these transcripts (Loveland et al., 2022; Taylor et al., 2016; Kwon et al., 2014; Wen et al., 2014). However, loss of C9ORF72 protein by itself does not cause neurodegeneration (Koppers et al., 2015). On the other hand, DPRs produced from both sense (poly-GA, poly-GP, poly-GR) and antisense (poly-PR, poly-PG, poly-PA) transcripts are present in the central nervous system of ALS/FTD patients (Zu et al., 2013; Gendron et al., 2013). Strong evidence from experimental model systems suggests DPRs are toxic (Schmitz et al., 2021), underscoring the importance of uncovering the molecular mechanisms responsible for DPR synthesis.

To design therapies that reduce DPR levels, it is valuable to identify initiation codons used in DPR translation. To date, the synthesis of sense DPRs has been a major focus in the ALS/FTD field, resulting in the identification of translation initiation codons for poly-GA and poly-GR (Green et al., 2017; Tabet et al., 2018; Boivin et al., 2020; Sonobe et al., 2018). As previously shown, non-canonical codons (CUG for poly-GA, AGG for poly-GR) initiate DPR synthesis from the sense strand (Green et al., 2017; Tabet et al., 2018; Boivin et al., 2020; Sonobe et al., 2018; van ‘t Spijker et al., 2022). Interestingly, studies in Drosophila and cultured cells showed that the presence of an expanded GGGGCC repeat alone, without flanking intronic sequences, can result in DPR production, suggesting an unconventional form of translation (Zu et al., 2013). However, deletion analysis of cis-regulatory elements upstream of the GGGGCC repeats and ribosome profiling revealed that translation initiation in the poly-GA and poly-GR frames does depend on flanking intronic sequences surrounding the repeats (van ‘t Spijker et al., 2022; Lampasona et al., 2021; Almeida et al., 2019). Moreover, a recent study proposed that a canonical AUG initiation codon is used for poly-PG synthesis from the antisense CCCCGG transcript (Boivin et al., 2020), suggesting conventional translation is involved in the synthesis of at least one DPR. However, the initiation codons for other DPRs (e.g., poly-PR, poly-PA) from the antisense transcript remain unknown. Hence, it is unclear which mode of translation is utilized for DPR synthesis from the antisense transcript.

Although both sense and antisense transcripts produce GP-containing dipeptides (sense: poly-GP, antisense: poly-PG), the antisense transcript seems to be the primary source of poly-PG/poly-GP inclusions in the brain of C9ORF72 ALS/FTD patients (Zu et al., 2013). Further, two recent ALS clinical trials that specifically targeted the production of DPRs from the sense transcript failed (Liu et al., 2022a; Tran et al., 2022; Krishnan et al., 2022). Therefore, studying the mechanisms responsible for DPR synthesis from the antisense transcript is important, and this is the focus of the present study.

An additional challenge in ALS/FTD is the identification of regulatory factors necessary for DPR synthesis. Research efforts have uncovered a number of proteins that act at different steps of DPR synthesis: RNA helicases (eIF4A, DHX36, and DDX3X) (Green et al., 2017; Tseng et al., 2021; Cheng et al., 2019), proteins of the eIF4F complex (eIF4A, eIF4B, eIF4E, eIF4H) (Green et al., 2017; Cheng et al., 2018; Goodman et al., 2019; Linsalata et al., 2019), small ribosomal protein subunit 25 (RPS25) (Yamada et al., 2019), ribosome quality control protein ZNF598 (Park et al., 2021), and eukaryotic translation initiation factors (DAP5 [van ‘t Spijker et al., 2022], eIF2A [Sonobe et al., 2018], eIF3F [Ayhan et al., 2018], eIF2D [Sonobe et al., 2021], and eIF2D co-factors DENR and MCTS-1 [Green et al., 2022]). Except RPS25, all remaining factors have only been assessed for their effects on DPRs produced from the sense GGGGCC transcript. Furthermore, the role of these factors on DPR synthesis in induced pluripotent stem cell (iPSC)-derived neurons from C9ORF72 ALS/FTD patients remains largely untested.

Here, we employ cell-based models of C9ORF72 ALS/FTD to identify translation initiation codons for DPRs produced from the antisense transcript. Transfection into cultured cells of constructs carrying 35 CCCCGG repeats (preceded by 1000 bp of human intronic C9ORF72 sequence) leads to DPR production (poly-PR, poly-PG) and reduced cell survival. We find that a canonical AUG initiation codon located 273 base pairs (–273 bp) upstream of the CCCCGG repeats is necessary for poly-PR synthesis. Further, we provide evidence for redundancy in usage of canonical initiation codons for poly-PG synthesis. Although an AUG at –194 bp is the main start codon for poly-PG, two other AUG codons (at –212 bp and at –113 bp) can also function as alternative translation initiation sites. These findings suggest that DPR synthesis from the antisense transcript occurs via AUG-dependent translation, contrasting with the mode of DPR synthesis from the sense transcript, which depends on non-canonical start codons (CUG for poly-GA, AGG for poly-GR). Finally, we show that the translation initiation factor eIF2D, which is necessary for CUG-dependent poly-GA synthesis from the sense transcript (Sonobe et al., 2021), is not involved in AUG-dependent antisense DPR (poly-PG, poly-PR) synthesis. Hence, distinct translation initiation sites and factors are employed for DPR synthesis from sense GGGGCC and antisense CCCCGG transcripts.

Results

Transfection of constructs carrying 35 CCCCGG repeats leads to antisense DPR synthesis and reduced cell survival

To study DPR synthesis from the antisense transcript, we engineered three constructs with 35 CCCCGG repeats preceded by 1000-bp-long intronic sequence from human C9ORF72 (Figure 1A; Sonobe et al., 2021), and then followed by nanoluciferase (nLuc) in frame of poly-PR, poly-PG, or poly-PA (see Materials and methods). 48 hr after transfection of poly-PR::nLuc or poly-PG::nLuc into HEK293 and NSC34 cells, robust expression of poly-PR and poly-PG was detected both in luciferase assays (Figure 1B–C) and western blotting for poly-PR, poly-PG, and nLuc (Figure 1D–E, Figure 1—figure supplement 1, Figure 1—source data 1), suggesting the luciferase signal is an accurate readout for DPR production. Protein isolation of soluble and insoluble fractions showed that both DPRs (poly-PG and poly-PR) are predominantly detected in the soluble fraction under these experimental conditions (Figure 1—figure supplement 2). Further, production of poly-PR and poly-PG in transfected NSC34 cells was confirmed with immunofluorescence staining (Figure 1F–G). Finally, transfection of either poly-PR::nLuc or poly-PG::nLuc into NSC34 cells led to reduced cell survival (Figure 1H–I).

Figure 1 with 3 supplements see all
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Poly-PR and poly-PG are translated from antisense CCCCGG repeats.

(A) Schematic diagram of the constructs with 35 CCCCGG repeats preceded by 1000-bp-long intronic sequence from human C9ORF72, and then followed by nanoluciferase (nLuc). (B) HEK293 and (C) NSC34 cells were cotransfected with fLuc along with either ΔC9 or AS-C9 plasmids. The levels of luciferase activity were assessed by dual luciferase assays (mean ± s.e.m.). The experiments were repeated four times. One-way ANOVA with Tukey’s multiple comparison test was performed. (D–E) HEK293 and NSC34 cells were transfected with either ΔC9 or AS-C9 plasmids. Cell lysates were processed for western blotting, and immunostained with antibodies to (D) poly-PR, (E) poly-PG, and α-tubulin. (F–G) NSC34 cells transfected with either ΔC9, (F) poly-PR::nLuc, or (G) poly-PG::nLuc were stained with a nuclear marker (4′,6-diamidino-2-phenylindole [DAPI]: blue) and with antibodies against poly-PR (F: green) or poly-PG (G: green). Scale bars indicate 20 μm. (H–I) NSC34 cells were transfected with either ΔC9, (H) poly-PR::nLuc, or (I) poly-PG::nLuc plasmids. WST-8 assay was performed to assess the cell viability. The experiments were repeated five times. Unpaired t test was performed.

Figure 1—source data 1

Full raw unedited images of western blots shown in Figure 1.

Figures with the uncropped blots are clearly labeled with the relevant bands.

https://cdn.elifesciences.org/articles/83189/elife-83189-fig1-data1-v2.zip

Consistent with a previous study (Boivin et al., 2020), we did not detect poly-PA with luciferase assays (Figure 1B–C) and western blotting (Figure 1—figure supplement 3) upon poly-PA::nLuc transfection. We surmise that the initiation codon for poly-PA may lie outside the 1000 bp intronic sequence used in our construct, or that the specific regulatory machinery needed for poly-PA synthesis is lacking in the cellular context examined here (HEK293 and NSC34 cells). Altogether, our cell-based model of C9ORF72 (construct with 35 CCCCGG repeats and 1000 bp of human intron) produces two antisense DPRs (poly-PR, poly-PG) and displays reduced cell survival.

A canonical AUG initiation codon located 273 bp upstream of CCCCGG repeats is required for poly-PR synthesis

The poly-PR::nLuc and poly-PG::nLuc constructs offer an opportunity to identify the initiation codons for poly-PR and poly-PG synthesis. We initially focused on poly-PR, one of the most toxic DPRs based on in vitro (Kwon et al., 2014; Lee et al., 2016; Lin et al., 2016) and in vivo studies in worms (Rudich et al., 2017), flies (Wen et al., 2014; Lee et al., 2016; Maor-Nof et al., 2021), and mice (Maor-Nof et al., 2021; Zhang et al., 2019; Hao et al., 2019). Using our recently developed machine-learning algorithm for initiation codon prediction (Gleason et al., 2022), we identified a CUG at –366 bp (Kozak sequence: guaCUGa) and an AUG at –273 bp (Kozak sequence: cggAUGc) as putative initiation codons for poly-PR (Figure 2A). We then mutated these codons either to CCC or the termination codon UAG (Figure 2A). Western blotting and luciferase assays showed that mutation of the CUG at –366 bp to CCC or UAG did not affect poly-PR expression (Figure 2B–G, Figure 2—source data 1). However, mutation of the AUG at –273 bp to CCC or UAG completely abolished poly-PR expression both in HEK293 and NSC34 cells, as shown by western blotting (Figure 2B–E), luciferase assays (Figure 2F–G), and immunofluorescence staining against poly-PR (Figure 2H). Importantly, the reduced survival of NSC34 cells upon poly-PR::nLuc transfection was partially rescued when the –273 bp AUG codon was mutated into the UAG termination codon, suggesting poly-PR production is toxic under these experimental conditions (Figure 2I). These results strongly suggest that the AUG at –273 bp is the start codon for translation of poly-PR, one of the most toxic DPRs in C9ORF72 ALS/FTD. This AUG is predicted to be included in the endogenous antisense CCCCGG transcript based on 5’ Rapid Amplification of cDNA Ends (RACE) analysis on brain samples of C9ORF72 ALS/FTD patients (Zu et al., 2013).

Figure 2
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An AUG at –273 bp position is the start codon for poly-PR translation.

(A) Schematic diagram showing constructs with mutations in the putative start codons for poly-PR. HEK293 (B–C) and NSC34 (D–E) cells were transfected with indicated plasmids. Cell lysates were processed for western blotting, and immunostained with antibodies to poly-PR and α -tubulin. (B, D) Representative blots are shown. (C, E) The signal intensity of the bands were quantified (mean ± s.e.m.). The experiments were repeated four times. One-way ANOVA with Tukey’s multiple comparison test was performed. (F) HEK293 and (G) NSC34 cells were cotransfected with the plasmids along with fLuc. The levels of luciferase activity were assessed by dual luciferase assays (mean ± s.e.m.). The experiments were repeated four times. One-way ANOVA with Tukey’s multiple comparison test was performed. (H) NSC34 cells transfected with either ΔC9, poly-PR::nLuc, or –273 AUG ->UAG plasmids were stained with 4′,6-diamidino-2-phenylindole [DAPI] (blue) and immunostained with a poly-PR antibody (green). Scale bars show 20 μm. (I) NSC34 cells were transfected with either ΔC9, wild type (WT), or –273 AUG ->UAG plasmids. WST-8 assay was performed to assess the cell viability. The experiments were repeated five times. One-way ANOVA with Tukey’s multiple comparison test was performed. In ΔC9 and WT, the same datasets as Figure 1H were used (mean ± s.e.m.). The experiments were repeated five times. One-way ANOVA with Tukey’s multiple comparison test was performed.

Figure 2—source data 1

Full raw unedited images of western blots shown in Figure 2.

Figures with the uncropped blots are clearly labeled with the relevant bands.

https://cdn.elifesciences.org/articles/83189/elife-83189-fig2-data1-v2.zip

Evidence for redundancy of AUG initiation codon usage in poly-PG translation

We next investigated poly-PG, which is less toxic than poly-PR (Wen et al., 2014; Lee et al., 2016; Mizielinska et al., 2014; Freibaum et al., 2015), and has been proposed as a biomarker for C9ORF72-ALS/FTD (Gendron et al., 2017; Lehmer et al., 2017). Using the same machine-learning algorithm (Gleason et al., 2022), we identified four putative initiation codons (AUG at –212 bp, AUG at –194 bp, CUG at –182 bp, AUG at –113 bp) (Figure 3A), all with relatively good Kozak sequences (gaaAUGa at –212 bp, aaaAUGc at –194 bp, gctCUGa at –182 bp, aggAUGc at –113 bp). Of note, a prior publication previously identified the AUG at –194 bp as an initiation codon (Boivin et al., 2020). Simultaneous mutation of all four of these codons to CCC completely blocked poly-PG expression (Figure 3B–D, Figure 3—source data 1), suggesting one or more of these codons is required. Next, we simultaneously mutated three codons to CCC, but left intact the AUG at –212 bp. We refer to this construct as ‘–212 AUG’. Upon transfection of –212 AUG, we observed poly-PG expression, suggesting poly-PG translation can start at the AUG at –212 bp. Intriguingly, when we followed a similar approach to mutate three codons to CCC but leave intact the AUG at –194 bp or at –113 bp, we also observed poly-PG production, but this time at an expected lower molecular weight (Figure 3B–D, Figure 3—source data 1). Of note, when we mutated to CCC all three AUG codons (–212 bp, –194 bp, –113 bp) but left intact the CUG at –182 bp, we observed no poly-PG expression (Figure 3B–D, Figure 3—source data 1). These results suggest that any of these three AUGs, but not the CUG at –182 bp, can function as a start codon for poly-PG, indicating redundancy in the translation initiation codon for poly-PG.

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Mutation of AUG codons to CCC fails to suppress poly-PG translation.

(A) Schematic diagram showing mutants with changes in the putative start codons for poly-PG. (B) HEK293 and NSC34 cells were transfected with indicated plasmids. Cell lysates were processed for western blotting, and immunostained with antibodies to poly-PG and α-tubulin. (C) HEK293 and (D) NSC34 cells were cotransfected with fLuc plasmid along with other indicated plasmids. The level of luciferase activity was assessed by dual luciferase assay (mean ± s.e.m.). The experiments were repeated four times. One-way ANOVA with Tukey’s multiple comparison test was performed.

Figure 3—source data 1

Full raw unedited images of western blots shown in Figure 3.

Figures with the uncropped blots are clearly labeled with the relevant bands.

https://cdn.elifesciences.org/articles/83189/elife-83189-fig3-data1-v2.zip

We observed a strong (higher molecular weight) band and a fainter (lower molecular weight) band for poly-PG when the intact version of the poly-PG::NanoLuc plasmid was translated (Figure 3B, Figure 3—figure supplement 1, Figure 3—source data 1). The strong band is likely to result from translation initiation at the AUG at –194 bp, whereas the faint band is likely initiated at the AUG at –113 bp (Figure 3B). Hence, the AUG at –194 bp appears to be the main initiation codon for poly-PG synthesis from the antisense transcript of 35 CCCCGG repeats (Figure 3B), which is consistent with mass spectrometry results from a previous report (Boivin et al., 2020).

Interestingly, selective mutation of the AUG at –194 to CCC did not abolish poly-PG expression (Figure 4A–D, Figure 4—figure supplement 1). Instead, it led to the production of two poly-PG products: a high molecular weight product (strong band) resulting from use of the AUG at –212 bp as well as a lower molecular weight product (faint band) resulting from AUG at –113 bp (Figure 4B, Figure 4—source data 1). Altogether, these results suggest that the AUG at –194 bp is mainly used for poly-PG expression from antisense CCCCGG repeats. However, when this AUG is mutated, two other AUG codons (at –212 bp and –113 bp) can also function as translation initiation sites, again revealing redundancy in the start codon usage for poly-PG synthesis.

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An AUG at –194 bp position is the primary start codon for poly-PG translation.

(A) Schematic diagram of the constructs. (B) HEK293 and NSC34 cells were transfected with indicated plasmids. Cell lysates were processed for western blotting, and immunostained with antibodies to poly-PG and α-tubulin. (C) HEK293 and (D) NSC34 cells were cotransfected with fLuc plasmid along with indicated plasmids. The level of luciferase activity was assessed by dual luciferase assays (mean ± s.e.m.). The experiments were repeated four times. One-way ANOVA with Tukey’s multiple comparison test was performed.

Figure 4—source data 1

Full raw unedited images of western blots shown in Figure 4.

Figures with the uncropped blots are clearly labeled with the relevant bands.

https://cdn.elifesciences.org/articles/83189/elife-83189-fig4-data1-v2.zip

Mutation of the –113bp AUG abolishes poly-PG production

We further corroborated this redundant initiation of poly-PG translation by individually mutating each of the AUG codons to a termination UAG codon (Figure 5A–D, Figure 5—figure supplement 1, Figure 5—source data 1). Mutation of the AUG at –212 bp to UAG (construct name: –212 UAG) did not affect poly-PG expression, most likely because the AUG at –194 bp became the start codon as shown by western blotting (Figure 5B–D, Figure 5—source data 1). Similarly, mutation of the AUG at –194 bp to UAG (construct name: –194 UAG) did not affect poly-PG expression because the AUG at –113 bp became the start codon (Figure 5B–D). However, mutation of AUG at –113 bp to UAG (construct name: –113 UAG) completely blocked poly-PG expression, as shown by western blotting (Figure 5B, Figure 5—figure supplement 1), luciferase assays (Figure 5C–D), and immunofluorescence staining (Figure 5E). Finally, the reduced survival of NSC34 cells was not rescued upon transfection of the –113 UAG construct, suggesting poly-PG production is not toxic under these experimental conditions (Figure 5F).

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Redundancy of start codon usage in poly-PG translation.

(A) Schematic diagram of the constructs. (B) HEK293 and NSC34 cells were transfected with indicated plasmids. Cell lysates were processed for western blotting, and immunostained with antibodies to poly-PG and α-tubulin. (C) HEK293 and (D) NSC34 cells were cotransfected with fLuc plasmid along with indicated plasmids. The level of luciferase activity was assessed by dual luciferase assays (mean ± s.e.m.). The experiments were repeated four times. One-way ANOVA with Tukey’s multiple comparison test was performed. (E) NSC34 cells transfected with indicated plasmids were stained with 4′,6-diamidino-2-phenylindole [DAPI] (blue) and immunostained with a poly-PG antibody (green). Scale bars show 20 μm. (F) NSC34 cells were transfected with indicated plasmids. WST-8 assay was performed to assess the cell viability (mean ± s.e.m.). The experiments were repeated five times. One-way ANOVA with Tukey’s multiple comparison test was performed. In ΔC9 and wild type (WT), the same datasets as Figure 1I were used.

Figure 5—source data 1

Full raw unedited images of western blots shown in Figure 5.

Figures with the uncropped blots are clearly labeled with the relevant bands.

https://cdn.elifesciences.org/articles/83189/elife-83189-fig5-data1-v2.zip

Altogether, these findings strongly suggest that the AUG at –194 bp is primarily used for poly-PG translation, but the other two AUG codons at –212 bp and –113 bp can also function as translation initiation sites under certain experimental conditions.

EIF2D does not control poly-PR and poly-PG synthesis from the antisense transcript

Following the identification of AUG codons for translation initiation of poly-PR and poly-PG, we next sought to identify translation initiation factors necessary for synthesis of these antisense DPRs. We focused on EIF2D because we previously found it to be necessary for poly-GA synthesis from the sense GGGGCC transcript in Caenorhabditis elegans and cell-based models (HEK293 and NSC34 cell lines) (Sonobe et al., 2021). To this end, we generated an EIF2D knockout HEK293 line using CRISPR/Cas9 gene editing (see Materials and methods) (Figure 6A–C, Figure 6—source data 1). Next, we transfected the poly-PR::nLuc reporter construct into control and EIF2D knockout HEK293 cells. We found that knockout of EIF2D did not affect the expression levels of the poly-PR::nLuc reporter (Figure 6E). We obtained similar results upon knockdown of EIF2D with a short hairpin RNA (shRNA) (Figure 6H), again suggesting that eIF2D is not required for poly-PR synthesis from antisense CCCGG transcripts. Lastly, knockout or knockdown (shRNA) of EIF2D in HEK293 cells transfected with poly-PG::nLuc did not decrease poly-PG expression based on a luciferase assay (Figure 6D and G). Hence, knockout or knockdown of EIF2D does not affect the production of two antisense DPR (poly-PR, poly-PG). On the other hand, knockdown of EIF2D did reduce the levels of poly-GA (Figure 6I), a DPR generated from sense RNA. The poly-GA reduction is consistent with our previous observations in a C. elegans model of C9ORF72 ALS/FTD (Sonobe et al., 2021), albeit more modest - likely due to a technical reason (see legend of Figure 6I).

Figure 6
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Downregulation of EIF2D does not reduce expression levels of poly-PG and poly-PR.

(A) A gRNA targeted the second exon of human EIF2D (see Materials and methods). (B) After CRISPR/Cas9-mediated gene editing, the EIF2D knockout (EIF2DKO) HEK293 cells carried different mutations on each allele. (C) Cell lysates from wild type (WT) and EIF2DKO HEK293 cells were processed for western blotting, and immunostained with antibodies to eIF2D and α-tubulin. (D–F) WT and EIF2DKO HEK293 cells were cotransfected with fLuc plasmid along with either (D–E) AS-C9 plasmids or (F) C9 plasmids containing 75 GGGGCC repeats. The level of luciferase activity was assessed by dual luciferase assays. (G–I) WT HEK293 cells were transfected with fLuc and either (G–H) AS-C9 plasmids or (I) C9 monocistronic plasmids containing 75 GGGGCC repeats along with anti-EIF2D short hairpin RNA (shRNA). The level of luciferase activity was assessed by dual luciferase assays (mean ± s.e.m.). The experiments were repeated three times. Unpaired t test was performed. The poly-GA reduction upon EIF2D shRNA is consistent with our previous observations (Sonobe et al., 2021), albeit more modest - likely due to a technical reason (a bicistronic construct containing 75 GGGGCC repeats was used in Sonobe et al., 2021).

Figure 6—source data 1

Full raw unedited images of western blots shown in Figure 6.

Figures with the uncropped blots are clearly labeled with the relevant bands.

https://cdn.elifesciences.org/articles/83189/elife-83189-fig6-data1-v2.zip

Knockdown of EIF2D in human iPSC-derived motor neurons

We next tested whether EIF2D is required for DPR synthesis in a cellular context that maintains the endogenous human C9ORF72 gene locus. We initially used one published iPSC line from a C9ORF72 carrier (line 26#6), as well as an isogenic control line (26Z90) which had CRISPR/Cas9-mediated deletion of expanded GGGGCC repeats (Lopez-Gonzalez et al., 2019). The iPSC lines were differentiated into motor neurons as previously described (Lopez-Gonzalez et al., 2016). Repeated transfection of a small interfering RNA (siRNA) against EIF2D (EIF2D-siRNA-1), but not of a control scrambled siRNA, resulted in robust downregulation of EIF2D mRNA as assessed by RT-PCR (Figure 7A) and eIF2D protein analysis (Figure 7—figure supplement 1). The mRNA levels of eIF2A, a related initiation factor, remained unaltered, suggesting specificity in the siRNA effect. Despite this knockdown, an immunoassay (conducted in a blinded manner) failed to show any differences in the steady-state levels of soluble poly-PG (Figure 7B), suggesting eIF2D is not necessary for poly-PG translation from the antisense transcript. We caution though that our immunoassay does not distinguish between poly-PG produced from the antisense transcript and poly-GP from the sense transcript (Figure 7B). Hence, a mild effect upon EIF2D knockdown on poly-PG (from antisense transcript) can potentially be masked by poly-GP (from sense transcript). Of note, PG/GP inclusions in brain tissue of C9ORF72 ALS/FTD patients contain ~80% of poly-PG from the antisense transcript and ~20% of poly-GP from the sense transcript (Zu et al., 2013). However, other studies indicate that the exact contribution of sense poly-GP and antisense poly-PG C9ORF72 ALS/FTD has not been resolved (Tran et al., 2022; Krishnan et al., 2022; Gendron et al., 2017). Hence, our data hint that eIF2D may not affect poly-PG synthesis from the antisense CCCCGG transcript.

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Dipeptide repeat (DPR) levels in human iPSC-derived neurons upon eIF2D knockdown.

(A) The EIF2D, EIF2A, and actin mRNA levels were assessed by real-time quantitative PCR on either isogenic control (26Z90) or C9ORF72 human motor neurons (patient line 26#6) upon small interfering RNA (siRNA) transfection (scramble or EIF2D siRNA-1). The eIF2D and eIF2A mRNA levels were normalized to actin. The experiments were repeated twice. p<0.05 by one-way ANOVA with Tukey’s post hoc test. (B) Poly-GA, poly-GR, and poly-GP levels in motor neurons differentiated independently (twice) from isogenic control and one C9ORF72 iPSC line. DPR levels were measured using an Meso Scale Discovery (MSD) immunoassay in a blinded manner. Data presented as mean ± SD. p-Values were calculated using two-way ANOVA with Dunnett’s multiple comparison test using Prism (9.1) software. (C–D) The EIF2D and actin mRNA levels were assessed by real-time quantitative PCR on C9ORF72 human motor neurons (two patient lines) upon siRNAs transfection (scramble, EIF2D siRNA-1 or EIF2D siRNA-2). The eIF2D mRNA levels were normalized to actin. The experiments were repeated three times. *p<0.05, ***p<0.001, ns, not significant by two-tailed unpaired t tests were used for two groups and a one-way ANOVA followed by Dunnett’s post hoc analysis was used for more than two groups. (E) Poly-GA, poly-GR, and poly-GP levels in motor neurons differentiated independently (n=3 times) from isogenic or healthy control lines and total two C9ORF72 patient iPSC lines (lines 27#11 and 40#3). DPR levels were measured using an MSD immunoassay in a blinded manner. For poly(GA) assay, total protein normalized poly(GA) concentrations were converted to percentage and presented as mean ± SE. For poly(GR), poly(GP) assay, total protein normalized electrochemiluminescence (ECL) values were converted to percentage and presented as mean ± SE. p-Values were calculated using one-way ANOVA with Dunnnett’s T3 multiple comparisons test .

Despite the lack of an effect on poly-PG/GP, we found that EIF2D knockdown reduced poly-GA synthesis from the sense GGGGCC transcript in neurons derived from iPSC line 26#6 (Figure 7B), critically extending previous observations made in C. elegans and cell-based models (Sonobe et al., 2021). Consistent with the latter study, EIF2D knockdown had no effect on poly-GR synthesis from the sense transcript based on an immunoassay that measures soluble poly-GR (Figure 7B). Altogether, these findings from one patient line (26#6) suggest that eIF2D is required for CUG start codon-dependent poly-GA synthesis from the sense transcript in human iPSC-derived neurons, but is dispensable for poly-GR (from sense transcript) and poly-PG synthesis, albeit our immunoassay cannot distinguish between poly-PG and poly-GP. However, when we repeated this experiment with two additional iPSC lines (27#11 and 40#3) from C9ORF72 carriers with two siRNAs (EIF2D-siRNA-1 and -2), we did not achieve robust EIF2D knockdown (Figure 7C–D). We note that the same siRNA (EIF2D- siRNA-1) led to robust EIF2D knockdown in the first patient line (26#6) (compare Figure 7A with Figure 7C, D). Hence, the issue of variable siRNA knockdown efficiency prevents us from drawing any general conclusions on the role of EIF2D in DPR synthesis in the context of motor neurons derived from different iPSC lines of C9ORF72 carriers (Figure 7B and E).

Discussion

Here, we show that canonical AUG codons on the antisense CCCCGG transcript serve as translation initiation codons for two DPRs - poly-PR and poly-PG. This finding may inform the design of future therapies for ALS/FTD, especially since poly-PR is a highly toxic DPR and poly-PG is thought to be primarily translated from the antisense transcript (Zu et al., 2013). Our finding of canonical AUG codons serving as translation initiation codons for antisense DPRs (poly-PR, poly-PG) differs from the proposed mode of translation of sense DPRs (e.g., poly-GA, poly-GR). In the latter case, it is thought that repeat-associated non-AUG (RAN) translation of poly-GA and poly-GR occurs via non-canonical CUG and AGG initiation codons, respectively, located in the intronic sequence upstream of the GGGGCC repeats (Green et al., 2017; Tabet et al., 2018; Boivin et al., 2020; Sonobe et al., 2018; van ‘t Spijker et al., 2022; Sonobe et al., 2021). Interestingly, studies in Drosophila and cultured cells showed that the presence of an expanded GGGGCC repeat alone, without flanking sequences, can result in DPR production (Zu et al., 2013; Freibaum et al., 2015). Hence, our findings together with these previous studies suggest that DPR synthesis may involve at least three different modes of translation: (1) near-cognate start codon (e.g., CUG, AGG) dependent translation for poly-GA and poly-GR from sense GGGGCC transcripts, (2) canonical AUG-dependent translation for poly-PR and poly-PG synthesis from antisense CCCCGG transcripts, and (3) DPR synthesis may also occur through RAN translation mechanisms that solely utilize the repeat. It is conceivable that all three modes of translation may occur simultaneously in disease, and that the use of non-canonical and canonical initiation codons may be the primary contributors of DPR production.

A notable finding is the presence of redundancy in start codon usage for poly-PG synthesis. Our data suggest that the AUG at –194 bp is primarily used for poly-PG translation from antisense CCCCGG transcripts, consistent with a previous investigation (Boivin et al., 2020). However, when this AUG is mutated, two other canonical AUG codons (at –212 bp and –113 bp) can also function as translation initiation sites under the experimental conditions described herein. Although it is unclear whether such redundancy in DPR translation initiation occurs in the central nervous system of C9ORF72 ALS/FTD patients, these findings nevertheless suggest that targeting only one translation initiation site may be insufficient to prevent poly-PG synthesis. Redundancy in start codon usage may also apply to other DPRs, such as poly-PR synthesis from the antisense transcript. Although we identified an AUG at –273 bp as necessary for poly-PR synthesis, a previous study detected poly-PR when only 100 bp downstream of the GGGGCC repeats were included in an adeno-associated viral (AAV) vector (Chew et al., 2019). It is important to note that this intronic 100-bp-long sequence was placed next to a 589 bp regulatory element of the woodchuck hepatitis virus (WPRE), which contains several putative start codons. The AUG initiation codons we identified as necessary for either poly-PR or poly-PG synthesis are predicted to be included in the endogenous antisense CCCCGG transcript based on 5’ RACE analysis on brain samples of C9ORF72 ALS/FTD patients (Zu et al., 2013). Nevertheless, endogenous mutagenesis of these codons - in the native genomic context of the C9ORF72 locus - is needed in the future to further test the validity of our findings.

Emerging evidence suggests distinct proteins affect translation initiation of DPRs from sense and antisense transcripts in C9ORF72 ALS/FTD. For example, the RNA helicase DDX3X directly binds to sense (GGGGCC), but not antisense (CCCCGG) transcripts, thereby selectively repressing the production of sense DPRs (poly-GA, poly-GP, poly-GR) (Cheng et al., 2019). Here, we provide evidence that the translation initiation factor EIF2D is not involved in DPR (viz., poly-PG, poly-PR) synthesis from antisense (CCCCGG) transcripts. In a previous study (Sonobe et al., 2021), we showed in C. elegans and in vitro cellular systems (HEK293 and NSC34 cells) that EIF2D is required for poly-GA production from sense (GGGGCC) transcripts. These findings are important because they indicate that not only distinct translation initiation codons, but also different regulatory proteins are involved in DPR synthesis from sense and antisense transcripts, suggesting that different modes of DPR translation (e.g., RAN translation, AUG-dependent translation) occur simultaneously in C9ORF72 ASL/FTD. Consistent with this idea, translation initiation is the most heavily regulated step in protein synthesis because it is the rate-limiting step (Richter and Sonenberg, 2005). Hence, we favor a model where distinct regulatory factors are necessary for translation initiation of different DPRs. In striking contrast, the transcriptional control of sense and antisense transcripts appears coordinated. For example, a single protein - the transcription elongation factor Spt4 - controls production of both sense and antisense transcripts (Kramer et al., 2016).

In addition to C9ORF72 ALS/FTD, nucleotide repeat expansions are present in various genes, causing more than 30 neurological diseases (Chintalaphani et al., 2021; Depienne and Mandel, 2021). In many of these, products translated from the expanded repeat sequences have been detected in the nervous system of affected individuals. Hence, our findings may also apply to this large group of genetic disorders in the following ways. First, translation of peptides from the same nucleotide repeat expansion may require different modes of translation (RAN- and AUG-dependent translation), as previously proposed (Gao et al., 2017). Second, the surprising redundancy in canonical AUG initiation codon usage for DPR (poly-PG) synthesis may also apply to proteins translated from nucleotide repeat expansions in other genes. Lastly, our results support the idea that distinct translation initiation factors are involved in the synthesis of individual DPRs produced from the same nucleotide repeat expansion. Future studies focused on transcriptional and translational mechanisms of expanded nucleotide repeats may critically contribute to the design of therapies for these diseases.

Materials and methods

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Cell line
(Homo sapiens)		HEK293ATCCCRL-1573
Cell line
(Mus musculus)		NSC34Gift from Dr.
Neil R.
Cashman
(McGill
University)
PMID:1467557
Cell line
(Homo sapiens)		Isogenic iPS cellsLopez-Gonzalez et al., 2019
 PMID:31019093		26z90Isogenic control for patient line C926#6
Cell line
(Homo sapiens)		Isogenic iPS cellsLopez-Gonzalez et al., 2019
 PMID:31019093		27m91Isogenic control for patient line C927#11
Cell line
(Homo sapiens)		Healthy control iPS cellsAlmeida et al., 2013 PMID:23836290Control2#20Control for patient line C940#3
Cell line
(Homo sapiens)		C9orf72 patient iPS cellsAlmeida et al., 2013
PMID:23836290		C926#6C9orf72 patient line
Cell line
(Homo sapiens)		C9orf72 patient iPS cellsAlmeida et al., 2013
PMID:23836290		C927#11C9orf72 patient line
Cell line
(Homo sapiens)		C9orf72 patient iPS cellsFreibaum et al., 2015 PMID:26308899C940#3C9orf72 patient line
AntibodyAnti-Poly-PR
(Rabbit polyclonal)		EMD MilliporeABN1354WB (1:1000)
IF (1:250)
AntibodyAnti-Poly-PG
(Mouse monoclonal)		Target ALSTALS828.179WB (1:1000)
IF (1:100)
AntibodyAnti-Poly-PA
(Rabbit polyclonal)		EMD MilliporeABN1356WB (1:1000)
AntibodyAnti-nLuc
(Mouse monoclonal)		PromegaN700AWB (1:500)
AntibodyAnti-α-tubulin
(Rat monoclonal)		AbcamAb6160WB (1:5000)
AntibodyAnti-H3K4me2
(Rabbit polyclonal)		EMD Millipore07-030WB (1:2000)
AntibodyAnti-mouse horseradish peroxidase-conjugated secondary antibody
(Sheep monoclonal)		GE HealthcareNA931VWB (1:5000)
AntibodyAnti-rabbit horseradish peroxidase-conjugated secondary antibody
(Donkey monoclonal)		GE HealthcareNA934VWB (1:5000)
AntibodyAnti-rat horseradish peroxidase-conjugated secondary antibody
(Goat polyclonal)		Cell Signaling Technology7077SWB (1:1000)
AntibodyAlexa 488-conjugated anti-mouse IgG
(Chicken polyclonal)		Thermo Fisher ScientificA-21200IF (1:2000)
AntibodyAlexa 488-conjugated anti-rabbit IgG
(Goat polyclonal)		Thermo Fisher ScientificA-11008IF (1:2000)
Recombinant DNA reagentpAG-ΔC9::nLucPMID:29792928
Recombinant DNA reagentpAG-AS(C9)-Poly-PR::nLuc (Plasmid)This paperPlasmid vector containing 35 CCCCGG repeats preceded by 1000-bp-long intronic sequence from human C9ORF72, and NanoLuc in frame of poly-PR
Recombinant DNA reagentpAG-AS(C9)-Poly-PG::nLuc (Plasmid)This paperPlasmid vector containing 35 CCCCGG repeats preceded by 1000-bp-long intronic sequence from human C9ORF72, and NanoLuc in frame of poly-PG
Recombinant DNA reagentpAG-AS(C9)-Poly-PA::nLuc (Plasmid)This paperPlasmid vector containing 35 CCCCGG repeats preceded by 1000-bp-long intronic sequence from human C9ORF72, and NanoLuc in frame of poly-PA
Recombinant DNA reagentpAG-AS(C9)
-366CUG->CCC-Poly-PR::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PR::nLuc vector with mutation of the CTG at
–366 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-366CUG->UAG-Poly-PR::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PR::nLuc vector with mutation of the CTG at
–366 bp from CCCCGG repeats to TAG
Recombinant DNA reagentpAG-AS(C9)
-273AUG->CCC-Poly-PR::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PR::nLuc vector with mutation of the ATG at
–273 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-273AUG->UAG-Poly-PR::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PR::nLuc vector with mutation of the ATG at
–273 bp from CCCCGG repeats to TAG
Recombinant DNA reagentpAG-AS(C9)CCC-Poly-PG::nLuc (Plasmid)This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–212 bp, ATG at –194 bp, CTG at
-182 bp, and ATG at
–113 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-212AUG-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–194 bp, CTG at –182 bp, and ATG at
–113 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-194AUG-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–212 bp, CTG at –182 bp, and ATG at
–113 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-182CUG-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–212 bp, ATG at –194 bp, and ATG at
–113 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-113AUG-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–212 bp, ATG at –194 bp, and CTG at
–182 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-212CCC-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–212 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-194CCC-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–194 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-113CCC-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–113 bp from CCCCGG repeats to CCC
Recombinant DNA reagentpAG-AS(C9)
-212UAG-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–212 bp from CCCCGG repeats to TAG
Recombinant DNA reagentpAG-AS(C9)
-194UAG-Poly-PG::nLuc		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–194 bp from CCCCGG repeats to TAG
Recombinant DNA reagentpAG-AS(C9)
-113UAG-Poly-PG::nLuc (Plasmid)		This paperpAG-AS(C9)-Poly-PG::nLuc vector with mutation of ATG at
–113 bp from CCCCGG repeats to TAG
Recombinant DNA reagentlentiCRISPR v2-EIF2D (Plasmid)This paperAddgene (#52961)lentiCRISPR plasmid containing gRNA sequence against EIF2D
Recombinant DNA reagentSh-Control (Plasmid)PMID:34654821Thermo Fisher Scientific (#AM5764)pSilencer 2.1-U6 neo plasmid containing non-specific control shRNA sequence
Recombinant DNA reagentSh-EIF2D (Plasmid)PMID:34654821Thermo Fisher Scientific (#AM5764)pSilencer 2.1-U6 neo plasmid containing shRNA sequence against EIF2D
Recombinant DNA reagentpGL4.50 [luc2/CMV/
Hygro] (Plasmid)		PromegaE131AExpression of firefly luciferase
Recombinant DNA reagentpNL1.1 CMV (Plasmid)PromegaN109AExpression of NanoLuc
Recombinant DNA reagentpcDNA 6/V5-His A
(Plasmid)		Thermo Fisher Scientific43-0003
Sequence-based reagentsiRNA: non-targeting negative controlThermo Fisher Scientific4390844Silencer Select
Sequence-based reagentsiRNA: EIF2DThermo Fisher ScientificS4495Silencer Select
Sequence-based reagentsiRNA: EIF2DThermo Fisher ScientificS4496Silencer Select
Chemical compound, drugHalt
Protease Inhibitor Cocktail		Thermo Fisher Scientific87786
Chemical compound, drugSB421542Stemgent04-0010-10Neuron
differentiation
Chemical compound, drugCHIR99021Stem Cell Technologies72054Neuron differentiation
Chemical compound, drugDMH1Stem Cell Technologies73634Neuron differentiation
Chemical compound, drugAll-Trans Retinoic AcidStem Cell Technologies72262Neuron differentiation
Commercial assay or kitQ5 Site-Directed Mutagenesis KitNew England BiolabsE0554S
Commercial assay or kitNano-Glo Dual-Luciferase Reporter assay systemPromegaN1610
Commercial assay or kitCell Counting Kit-8DojindoCK-04
Commercial assay or kitBCA Protein Assay KitThermo Fisher Scientific23225
Commercial assay or kit660 nm Protein Assay ReagentThermo Fisher Scientific22660
Software, algorithmImage Lab softwareBio-Rad
Software, algorithmImageJ2 softwarePMID:22930834
Software, algorithmGraphPad PrismDotmatics
Other5× passive lysis bufferPromegaE1941Lysis buffer for luciferase assay
Other4′,6-diamidino-2-phenylindole (DAPI)Thermo Fisher ScientificD1306Nuclear staining
(1 mg/ml)
OtherSuperSignal West Dura Extended Duration SubstrateThermo Fisher Scientific34076Horseradish peroxidase substrate for western blotting
OtherLipofectamine LTXThermo Fisher Scientific15338030Plasmid transfection reagent

Generation of the plasmid constructs

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All oligonucleotides were obtained from Integrated DNA Technologies. Oligonucleotide I-F/R (Supplementary file 1) contains part of a HindIII site followed by 113 nucleotides that are normally upstream of the GGGGCC repeats and then by three GGGGCC repeats. Oligonucleotide II-F/R contains 10 GGGGCC repeats followed by part of a NotI site. These two oligonucleotides were phosphorylated, annealed, and then ligated into restriction sites of HindIII and NotI of a pAG plasmid. The plasmid was then digested with HindIII and BamHI. The HindIII-BamHI fragment was digested with BanII, and the resultant HindIII-BanII fragment was then ligated with oligonucleotide II-F/R into the pAG plasmid. This approach was repeated three times with similar digestions and ligations of oligonucleotide II. Finally, the HindIII-BanII fragment was ligated with oligonucleotide III-F/R (which contains two CCCCGG repeats followed by a 99  bp flanking sequence and then followed by part of the NotI site) into the pAG plasmid (referred to as 113bp-35RG4C2-99bp plasmid). To delete stop codons after the CCCCGG repeats, the plasmid was treated with BfaI and NotI, and the digested fragment was ligated with oligonucleotide IV-F/R. To add sequence upstream from the C4G2 repeats, a 543 bp portion (408–950 of NCBI reference sequence, NC_000009.12) of the C9ORF72 gene from HEK293 genomic DNA was amplified by PCR using the primer shown in Supplementary file 1. The amplified construct was then ligated with the BtgI/NotI-digested fragment of the 113bp-35RG4C2-99bp plasmid into XbaI and NotI sites of pcDNA6/V5-His A plasmid (referred to as 609bp-35RC4G2 plasmid). To further increase the length of sequence upstream from CCCCGG repeats, a 392 bp portion (951-1342 of NCBI reference sequence, NC_000009.12) of C9ORF72 gene from HEK293 genomic DNA was amplified by PCR using the primer shown in Supplementary file 1. The amplified construct was then ligated with the XbaI/NotI fragment of 609bp-35RC4G2 plasmid into HindIII and NotI sites of the pAG plasmid (referred to as AS-C9 plasmid). The ΔC9 plasmid (Sonobe et al., 2021) was generated as previously described.

To mutate sequences, a 560 bp portion upstream from the repeats in the AS-C9 plasmid was amplified by PCR using a primer shown in Supplementary file 1. The amplified portion was then ligated into the HindIII and NotI sites of pcDNA6/V5-His A plasmid. Mutations were made with Q5 Site-Directed Mutagenesis Kit (New England Biolabs) using primer sets (Supplementary file 1). The StuI/BtgI portion of the resultant mutants was then cloned back into the StuI and NotI sites of AS-C9 plasmid with BtgI/NotI portion of AS-C9 plasmid using the primer sets in Supplementary file 1.

To generate the vector to induce expression of poly-PA, the fragment AUG-PA-F/R (Supplementary file 1) was phosphorylated, annealed, and then ligated into restriction sites of HindIII and BtgI of the AS-C9 plasmid.

Cell culture

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HEK293 and NSC34 cells were cultured in DMEM supplemented with 10% FBS, 2 mM L-glutamine, 100 U/ml penicillin, and 100 μg/ml streptomycin. The cell lines were checked for mycoplasma contamination by DAPI staining but were not authenticated.

Luciferase assay

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The cells were plated in 24-well plates at 5×104 cells per well and then cotransfected using Lipofectamine LTX (Thermo Fisher Scientific) with 100 ng of the plasmid along with 100 ng fLuc plasmid as a transfection control. After 48 hr, the cells were lysed with 1× passive lysis buffer (Promega). Levels of nLuc and fLuc were assessed with the Nano-Glo Dual-Luciferase Reporter assay system (Promega) and a Wallac 1420 VICTOR 3V luminometer (Perkin Elmer) according to the manufacturer’s protocol.

Western blotting

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The cells were plated in six-well plates at 2×105 cells per well and then cotransfected with 2.5 μg of plasmids using Lipofectamine LTX (Thermo Fisher Scientific). After 48 hr, cell lysates were prepared using RIPA buffer (50 mM Tris-HCl, pH 7.5; 150 mM NaCl; 0.1% SDS; 0.5% sodium deoxycholate; 5 mM EDTA containing 1× Halt Protease inhibitor Cocktail). The RIPA-insoluble pellet was lysed in 8 M urea and used as the RIPA-insoluble fraction. H3K4me2 was used as marker for RIPA-insoluble fraction, as previously described (Janes, 2015). Lysates were subjected to electrophoresis on Mini-PROTEAN TGX Gels (Bio-Rad), and then transferred to Amersham Hybond P 0.45 μm PVDF membranes (GE Healthcare). The membrane was blocked with 5% non-fat skim milk in Tris-buffered saline containing 0.05% Tween-20 for 1 hr at room temperature, and then incubated overnight at 4°C with primary antibodies against poly-PR (1:1000, ABN1354, EMD Millipore), poly-GP (1:1000, TALS 828.179, Target ALS), eIF2D (1:1000, 12840-1-AP, Proteintech), poly-PA (1:1000, ABN1356, EMD Millipore), nLuc (1:500, N700A, Promega), α-tubulin (1:5000, YL1/2, Abcam), and dimethyl-histone H3 (H3K4me2) (1:2000, 07-030, EMD Millipore). Following washing, the membrane was incubated for 1 hr at room temperature with anti-mouse (1:5000, GE Healthcare), anti-rabbit (1:5000, GE Healthcare), or anti-rat horseradish peroxidase-conjugated secondary antibodies (1:1000, Cell Signaling Technology). The signal was detected using SuperSignal West Dura Extended Duration Substrate (Thermo Fisher Scientific) and analyzed using ChemiDoc MP Imaging System and Image Lab software (version 6.0.1, Bio-Rad).

Cell viability assay

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Cell viability assay was performed using Cell counting kit-8 (Dojindo) according to the manufacturer’s protocol. In brief, NSC34 cells were plated in 96-well plates at 2.5×103 cells per well and then transfected using Lipofectamine LTX with 100 ng of the indicated plasmid. After 48 hr, 10 μl of the CCK-8 solution was added to the well and incubated for 2 hr in a CO2 incubator. The reaction was stopped by adding 0.1 M HCl and the absorbance at 450 nm was measured.

Immunocytochemistry

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The cells were plated in four-well Lab-Tek II Chamber Slide (Nunc) coated with 50 μg/ml poly-D-lysine (Sigma) at 5×104 cells per well and transfected using Lipofectamine LTX with 500 ng of the indicated plasmid. After 48 hr, the cells were fixed with 4% paraformaldehyde for 15 min at room temperature. Then, the cells were permeabilized with phosphate buffered saline (PBS) with 0.2% Tween-20 for 20 min at room temperature. The samples were incubated with blocking buffer (2% BSA in PBS) for 1 hr at room temperature and then incubated overnight at 4°C with antibodies against poly-PR (1:250, ABN1354, EMD Millipore) or poly-GP (1:100, TALS 828.179, Target ALS). After rinsing with PBS, cells were incubated with Alexa 488-conjugated chicken anti-mouse IgG (1:2000, Thermo Fisher Scientific) or Alexa 488-conjugated goat anti-rabbit IgG (1:2000, Thermo Fisher Scientific) for 1 hr at room temperature, and then counterstained with DAPI. Images were captured using a confocal laser microscope system (Leica TCS SP5, Leica Microsystems) and processed using ImageJ2 software (version 2.9.0/1.53t).

Generation of EIF2D knockout cells by CRISPR/Cas9 gene editing

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A single guide RNA (sgRNA) (GCAGTGACTGTGTACGTGAG) that targets exon 2 of eIF2D was cloned into lentiCRISPR v2 plasmid (Addgene). HEK293 cells were plated into six-well plates at 4 × 105 cells per well, and then transfected using Lipofectamine LTX with 2.5 μg lentiCRISPR v2 plasmids containing the sgRNA sequence. Transfected cells were selected using 3 μg/ml puromycin for 3 days. EIF2D knockout cell clones were obtained by limited dilution. The resulting EIF2D knockout cells carry allele-specific mutations, as follows. Compared to the wild type (WT) GGATGCAGTGACTGTGTACGTGAGTGGTGG sequence, one allele GGATGCAGTGACTGTGTACGTTGAGTGGTGG has a single nucleotide insertion shown bolded while the other allele contains a two-nucleotide deletion GGATGCAGTGACTGTGTA—TGAGTGGTGG. Both alleles lead to a premature stop codon, likely resulting in two different truncated eIF2D proteins with the following respective sequence:

MFAKAFRVKSNTAIKGSDRRKLRADVTTAFPTLGTDQVSELVPGKEELNIVKLYAHKGDAVTVYEWW and MFAKAFRVKSNTAIKGSDRRKLRADVTTAFPTLGTDQVSELVPGKEELNIVKLY AHKGDAVTVYVEWW.

Knockdown of eIF2D in HEK293 cells

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shRNA plasmids against human eIF2D were prepared using previously published methods (Sonobe et al., 2021). In brief, oligonucleotides with an siRNA sequence were cloned into the BamHI and HindIII sites of pSilencer 2.1-U6 neo Vector (Thermo Fisher Scientific) according to the manufacturer’s protocol. The latter kit also contained a control shRNA vector. For luciferase assays (shown above), the cells were plated in 24-well plates at 5×104 cells per well and cotransfected with 50 ng of the AS-C9 plasmids and 50 ng of the fLuc plasmids along with 500 ng of either control shRNA or anti-eIF2D shRNA using Lipofectamine LTX (Thermo Fisher Scientific).

Motor neuron differentiation from human iPSC lines

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Human motor neurons were differentiated as previously described from a published iPSC line obtained from a C9ORF72 carrier (FTD26-6), as well as an isogenic control line that had a CRISPR/Cas9-mediated deletion of expanded GGGGCC repeats (Lopez-Gonzalez et al., 2019; Lopez-Gonzalez et al., 2016). Briefly, iPSCs were plated and expanded in mTSER1 medium (Stem Cell Technologies) in Matrigel-coated wells. Twenty-four hours after plating, the culture medium was replaced every other day with neuroepithelial progenitor (NEP) medium, DMEM/F12 (Gibco), neurobasal medium (Gibco) at 1:1, 0.5X N2 (Gibco), 0.5X B27 (Gibco), 0.1 mM ascorbic acid (Sigma), 1X Glutamax (Invitrogen), 3 μM CHIR99021 (Tocris Bioscience), 2 μM DMH1 (Tocris Bioscience), and 2 μM SB431542 (Stemgent) for 6 days. NEPs were dissociated with accutase, split 1:6 into Matrigel-coated wells, and then cultured for 6 days in motor neuron progenitor induction medium (NEP with 0.1 μM retinoic acid and 0.5 μM purmorphamine, both from Stemgent). Motor neuron progenitors were dissociated with accutase to generate suspension cultures, and the cells were cultured in motor neuron differentiation medium (NEP with 0.5 μM retinoic acid and 0.1 μM purmorphamine). After 6 days, the cultures were dissociated into single cells, and seeded on Matrigel-coated plates in motor neuron medium, 0.5X B27 supplement, 0.1 mM ascorbic acid, 1X Glutamax, 0.1 µM Compound E (Calbiochem), 0.26 µg/ml cAMP, 1 µg/ml Laminin (Sigma), 10 ng/ml GDNF (R&D Systems), and 10 ng/ml GDNF (R&D Systems), and 10 ng/ml BDNF. Motor neurons were cultured for 5 weeks.

SiRNA knockdown

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After 3 weeks in neuron culture media, motor neurons were transfected with an siRNA specific to eIF2D mRNA or a scrambled control. For the transfection, Lipofectamine RNAiMAX (Thermo Fisher Scientific) was first diluted in Opti-MEM medium, and then both eIF2D and scrambled control siRNAs were separately diluted in Opti-MEM medium at room temperature. Diluted siRNA and diluted Lipofectamine RNAiMAX (1:1 ratio) were then mixed and incubated for 20 min. The siRNA-lipid complex solution was then brought up to the appropriate volume with MN culture medium. The culture medium in the plate was aspirated and replaced with an siRNA-lipid complex at a final concentration of 60 pmol siRNA in 1.5 ml medium per 1,000,000 cells. After 24 hr, the medium was replaced with a normal motor neuron medium. This process was repeated two more times at 26 and 31 days in culture. After 36 days in culture, we measured siRNA efficiency and levels of DPRs in harvested motor neurons.

RNA extraction and quantitative real-time PCR

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Total RNA from iPSC-derived motor neurons was extracted with the RNeasy Mini Kit (QIAGEN) and then reverse-transcribed to cDNA with the TaqMan Reverse Transcription Kit (Applied Biosystems). Quantitative PCR was carried out with SYBR Green Master Mix (Applied Biosystems). Using primers listed in SI Appendix, Table, Ct values for each gene were normalized to actin and GAPDH. Relative mRNA expression was calculated with the double delta Ct method.

Measurement of soluble poly-GR and poly-GP in iPSC-derived neurons

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Soluble poly-GR and poly-GP levels in iPSC-derived neurons were detected using the Meso Scale Discovery (MSD) Immunoassay platform as previously reported (Krishnan et al., 2022). In brief, cells were lysed using Tris-based lysis buffer, and lysates were adjusted to equal concentrations and loaded in duplicate wells. Background subtracted electrochemiluminescence signals were presented as percentage. The MSD assays were performed in a blinded manner.

Soluble and insoluble fractionation for measurement of poly-GA

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Motor neurons were lysed in RIPA buffer (Boston BioProducts, BP-115D) with protease and phosphatase inhibitors. The lysates were rotated for 30 min at 4°C, followed by centrifugation at 13,500 rpm for 20 min. The supernatant was removed and used as the soluble fraction. Protein concentrations of the soluble fraction were determined by the BCA assay (Thermo Fisher Scientific, Cat # 23227). To remove carryovers, the pellets were washed with RIPA buffer, and then resuspended in the same buffer with 2% SDS followed by sonication on ice. The lysates were rotated for 30 min at 4°C, then spun at 14,800 rpm for 20 min at 4°C. The supernatant was removed and used as insoluble fraction. Protein concentrations of the insoluble fraction were determined by Pierce 660 nm Protein Assay (Thermo Fisher Scientific, 22660).

Measurement of poly-GA in iPSC-derived neurons

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Poly-GA in soluble motor neuron lysates was measured using an MSD sandwich immunoassay. A human/murine chimeric form of anti-GA antibody chGA3 was used for capture, and a human anti-GA antibody GA4 with a SULFO-tagged anti-human secondary antibody was used for detection. Poly-GA concentrations were interpolated from the standard curve using 60X-GA expressed in HEK 293 cells and presented as percentage. For background correction, values from no-repeats neuron samples were subtracted from the corresponding test samples.

Statistical analysis

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Statistical analysis was performed by one-way ANOVA with Tukey’s multiple comparison test and two-way ANOVA with the Šídák multiple comparison test using GraphPad Prism version 9.3.1. A p-value of <0.05 was considered significant. The data are presented as mean  ± standard error of the mean.

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files.

References

Decision letter

  1. Hugo J Bellen
    Reviewing Editor; Baylor College of Medicine, United States
  2. Carlos Isales
    Senior Editor; Augusta University, United States

Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "Translation of dipeptide repeat proteins in C9ORF72 ALS/FTD through unique and redundant AUG initiation codons" for consideration by eLife. Your article has been reviewed by 2 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Jeannie Chin as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential revisions:

1) Further validation of data in Figure 5 as per comments from Reviewers.

2) Address the contribution of sense-strand encoded GP versus antisense-strand encoded PG in iPSC studies as per Reviewer comments.

3) All western immunoblot data need to be quantified and statistically analyzed as outlined by Reviewer #1.

4) The inclusion of additional iPSN lines to demonstrate findings are consistent within an endogenous setting as outlined by Reviewer #2.

5) Further validation of the luciferase assay to address concerns raised by Reviewers.

6) An evaluation of cited studies to confirm accuracy of reported information as per concerns raised by Reviewer #1.

7) An evaluation of DPR aggregation to demonstrate relevance in disease as outlined by Reviewer #1.

Reviewer #1 (Recommendations for the authors):

1. All western immunoblot data need to be quantified and statistically analyzed. In particular, quantification of the multiple molecular weight bands in Figures 2B, 3B and 4B is needed to support the authors conclusions.

2. There are several issues with the data in figure 5.

a. the successful knockdown of eIF2D needs to be confirmed on the protein level.

b. multiple siRNA targeting eIF2D should be tested to confirm that effects are specific to the targeted gene versus an off-target effect.

c. the authors need to be clearer about their interpretation of the data on GP/PG at this point in their study. Specifically, the GP that is measured here will include both sense-GP and antisense-PG. While Zu et al. demonstrated that the antisense strand is the primary source of GP/PG (which the authors should mention in the intro or results for the reader) the sense strand will still contribute to DPR production and could mask effects. In Figure 6D & F, the authors present more compelling data to support that eIF2D is dispensable for PG production. The authors may want to consider presenting those data sooner.

3. The authors design novel C4G2:NanoLuc constructs to study antisense DPR synthesis. Further validation of the constructs and the system would improve the current study.

a. Can the authors present data showing that the PR and PG bands in Figure 1D-1E co-stain with an anti-luciferase antibody since the DPR are tagged with nLuc (Figure 1A)? This would demonstrate that the luciferase signal is an effective and accurate readout for DPR production.

b. The authors should consider insoluble versus soluble DPR when measuring DPR production. They only look at soluble DPR but the DPR levels within the insoluble fraction may differ (Quaegebeur et al. 2020; Licata et al. 2021) and this may impact the interpretation of the later data as the DPR may be enriched in the insoluble fraction and seem depleted in the soluble fraction measured using western immunoblots and the luciferase assay. Thus, can the authors demonstrate that the levels of DPR in the insoluble fraction are consistent with the soluble fraction in their system making the soluble fraction a reasonable read-out?

c. It is surprising that the authors do not see PA production in Figure 1 using their luciferase assay. Can the authors confirm these results using an antibody against PA? The authors should discuss why they do not see any PA production when PA is seen in patient samples.

4. The authors should consider changes in cellular toxicity in their experiments as they are discussing potential impacts in human disease. Can they demonstrate that their manipulations alter cell survival or DPR-associated toxicity? what about changes in DPR aggregation (since GP/PG may not be toxic but these do aggregate and this is pathologically relevant to patients)?

5. The authors need to carefully check their citations and make sure the cited studies are accurately being described. Here are some examples of issues

a. Lines 56, 202-203 and throughout: the statements "… is independent of G4C2 repeats" don't make sense. The G4C2 repeat is what codes for the DPR so DPR production cannot be independent of the G4C2 sequence. Please rephrase these sentences to better describe previous findings that translation is mediated by flanking sequence. Also, the authors may want to be more reflective when discussing this point. Specifically, the presence of an expanded G4C2 repeat alone without flanking sequence can result in DPR production in cultured cells and in flies. So while translation may be promoted by flanking sequence in the cited manuscripts, translation may also occur through RAN translation mechanisms that solely utilize the repeat. Both modes of translation may occur simultaneously in disease while the use of non-canonical and canonical start codons may be the primary contributor of DPR production.

b. Line 224: the sentence describing Goodman et al. is incorrect. This study utilized a fly model that carried a ~100bp of the 5' flanking sequence found in patients and thus was not a G4C2 repeat alone as described. Further, eIF4B/H was not show to "directly bind" the G4C2 RNA but rather there was a correlation in eIF4B/H downregulation and reduced GR-GFP production with no impact on non-repeat transcripts.

c. Line 42: it may be more transparent to change "thought to" to "predicted to" for readers unfamiliar with the topic. "Thought to" indicates that there is evidence to support all 3 potential modes of toxicity vs predicted to which clearly indicates these are hypothetical scenarios. However, the contribution of reduced C9orf72 protein to disease is not well established. Further, this point needs to be de-emphasized in favor of gain-of-function modes of toxicity by listing it as the last potentiality versus the first potentiality.

d. Line 68: this is not an exhaustive list of RAN translation factors identified for G4C2. There is also DHX36 (Tseng et al. 2021) and eIF4B/eIF4H (Goodman et al. 2019; supported by data in Linsalata et al. 2019). There may be others as well. Please add missing information.

e. Please add citations after the following statements and check for additional instances where citations are missing.

i. Line 43: citations for loss of C9orf72 potentially contributing to disease

ii. Line 52: citations for CUG for GA and AGG for GR.

iii. Line 58: citation for PG synthesis using AUG

iv. Line 63: citation for the failed clinical trial

Reviewer #2 (Recommendations for the authors):

In all the luciferase reporter figures, the relative values of all the constructs should be provided. It is expected that mutating AUGs will drastically reduce the translation level. However, whether the mutant reporter still have higher luciferase (by low efficient RAN translation) than no repeat control was not shown. This information needs to be included.

It has not been resolved what is the contribution of GP from sense and antisense strands. It has been shown in previous publications that reduction of sense repeats can significantly decrease the GP level. Therefore, there is not sufficient evidence to claim that knocking down eIF2D had no effect on GP level is due to the AUG translation of antisense repeats.

Only one isogeneic iPSC line was used in the study. 3-5 individual lines should be used to demonstrate the conclusion.

To prove the endogenous DPR production from the antisense repeats starts from AUG, the regions containing the AUG codons should be mutated/deleted to assess how it affects the DPR level.

In Figure 5, eIF2D protein level should be measured by western blotting.

In figure 6, the GA level should be measured as the positive control.

[Editors’ note: what follows is the authors’ response to the second round of review.]

Thank you for resubmitting your work entitled "Translation of dipeptide repeat proteins in C9ORF72 ALS/FTD through unique and redundant AUG initiation codons" for further consideration by eLife. Your revised article has been evaluated by Carlos Isales (Senior Editor) and a Reviewing Editor.

The manuscript has been improved but there are some remaining issues that need to be addressed, as outlined below:

Edits are needed to address concerns raised by Reviewer #3. In particular, the new data on eIF2D as a GA-specific RAN translation factor has lead to some conflicting results with previous studies. This conclusion needs to be more fairly presented in the text, especially in the abstract and discussion.

Reviewer #3 (Recommendations for the authors):

The authors included new data to address most of the concerns and significantly improved the manuscript. However, as the reviewer was concerned, some of the conclusions cannot be supported when tested in more patient lines.

In the two additional patient iPSN lines, eIF2D knockdown did not reduce the GA level, but instead increased the GA level. Although the authors reasoned that the siRNA did not work well in the other two lines, the line 40#3 has good knockdown, and the upregulation of GA in two out of three lines is hard to interpret. Furthermore, the data in Figure 6 also did not show a big effect of reducing eIF2D (both KO and shRNA) on poly-GA level. Overall, the data cannot support the claim that eIF2D is generally required for poly-GA translation from a CUG initiation codon.

For the antisense repeat translation, the data in the manuscript showed the AUG can be used if the transcription starts more upstream. But without data from endogenous mutagenesis, this cannot be validated. The writing needs to be modified to clarify this point.

There is no Figure 7—figure supplement 1.

https://doi.org/10.7554/eLife.83189.sa1

Author response

Essential revisions:

1) Further validation of data in Figure 5 as per comments from Reviewers.

We have now tested a second siRNA against eIF2D and results are included in Figure 7.

We observed efficient eIF2D knockdown at the protein level with Western blotting upon transfection with one siRNA against eIF2D (Figure 7 —figure supplement 1). This experiment was conducted in HEK293 cells. The exact same siRNA (EIF2D-siRNA-1) was transfected in the iPSC-derived motor neurons from C9ORF72 patients (Figure 7). In iPSC-derived motor neurons, we assessed the efficiency of EIF2D knockdown at the mRNA level. Unfortunately, we were not able to conduct the experiment and measure eIF2D protein levels upon siRNA transfection because we used the entire amount of the lysates for DPR detection by immunoassays.

2) Address the contribution of sense-strand encoded GP versus antisense-strand encoded PG in iPSC studies as per Reviewer comments.

To specifically address this issue, the lab of one of the authors (Dr. Fen-Biao Gao) is currently preparing a separate manuscript. Specifically, the Gao lab tried multiple times to mutate the AUG codons in the poly-PG frame with CRISPR/Cas9 gene editing, but the region is very rich in GC content and the approach was unsuccessful. In this upcoming separate manuscript by the Gao lab, the authors were successful in generating a deletion of the intronic region that contains multiple AUG codons.

3) All western immunoblot data need to be quantified and statistically analyzed as outlined by Reviewer #1.

We have now performed these quantifications and statistical comparisons, which can be found in Figure 3 —figure supplement 1, Figure 4 —figure supplement 1, and Figure 5 —figure supplement 1.

4) The inclusion of additional iPSN lines to demonstrate findings are consistent within an endogenous setting as outlined by Reviewer #2.

We conducted new experiments. To test the role of eIF2D, we have now used three published iPSC lines from C9ORF72 carriers, as well as their isogenic control lines which had CRISPR/Cas9-mediated deletion of expanded GGGGCC repeats. As we describe in Results, we only achieved (~90%) efficient EIF2D knockdown in neurons derived from one iPSC line from a C9ORF72 carrier. In the remaining two lines, we witnessed variability in our siRNA approach to knockdown EIF2D. We now include these new data in Figure 7, but refrain from drawing strong conclusions on the role of EIF2D in DPR synthesis in the context of neurons derived from iPSCs of C9ORF72 carriers. Hence, we describe in detail our iPSC experiments in Results, but we do not make any strong claims in the Abstract and Discussion.

On the other hand, our findings on the identification of AUG initiation codons are consistent with an endogenous setting. Zu et al., (PNAS, 2013) conducted 5’ Rapid Amplification of cDNA Ends (RACE) on brain samples of C9ORF72 ALS/FTD patients. Although this analysis did not identify the exact transcription start site for the antisense CCCCGG RNA, it did show that the region that includes the AUG codons, which we found to be important for poly-PR or poly-PG, is included in the antisense RNA from human C9ORF72 ALS/FTD samples.

We have modified the Results (lines 133-136) to: “These results strongly suggest that AUG at -273 bp is the start codon for translation of poly-PR, one of the most toxic DPRs in C9ORF72 ALS/FTD. This AUG is predicted to be included in the endogenous antisense CCCCGG transcript based on 5’ Rapid Amplification of cDNA Ends (RACE) analysis on brain samples of C9ORF72 ALS/FTD patients14.”

5) Further validation of the luciferase assay to address concerns raised by Reviewers.

In Figure 1 —figure supplement 1, we have now addressed this concern. We transfected HEK293 and NSC34 cells with the antisense 35xCCCCGG plasmid that has nLuc in-frame with poly-PG. Upon Western Blotting, we detected both nLuc signal and poly-PG, suggesting nLuc is an accurate readout.

6) An evaluation of cited studies to confirm accuracy of reported information as per concerns raised by Reviewer #1.

As requested, we have added citations and also confirmed accuracy of reported information.

7) An evaluation of DPR aggregation to demonstrate relevance in disease as outlined by Reviewer #1.

To address this important point, we conducted three experiments. With immunofluorescence staining against poly-PG and poly-PR, we observed that both DPRs are present in the nucleus and cytoplasm of HEK293 cells 48h post-transfection with the poly-PG::nLuc or poly-PR::nLuc constructs (Figure 1F-G, 2H). Moreover, we quantified DPR levels in soluble and insoluble fractions (Figure 1 —figure supplement 2). The data suggest that in our transfected cells (48h after transfection) we predominantly detect DPRs (poly-PG, poly-PR) in the soluble fraction. Lastly, we observed reduced cell survival at 48 hours post-transfection of poly-PG::nLuc or poly-PR::nLuc constructs (Figure 1H-I), suggesting our constructs produce toxic DPRs from the antisense CCCCGG transcript.

Reviewer #1 (Recommendations for the authors):

1. All western immunoblot data need to be quantified and statistically analyzed. In particular, quantification of the multiple molecular weight bands in Figures 2B, 3B and 4B is needed to support the authors conclusions.

We completely agree; these quantifications and statistical comparisons are now provided in Figure 3 —figure supplement 1, Figure 4 —figure supplement 1, and Figure 5 —figure supplement 1.

2. There are several issues with the data in figure 5.

a. the successful knockdown of eIF2D needs to be confirmed on the protein level.

We observed efficient eIF2D knockdown at the protein level with Western blotting upon transfection with one siRNA against eIF2D (Figure 7 —figure supplement 1). This experiment was conducted in HEK293 cells. The exact same siRNA (EIF2D siRNA-1) was transfected in the iPSC-derived motor neurons from C9ORF72 patients (Figure 7). In iPSC-derived motor neurons, we validated efficient EIF2D knockdown only at the mRNA level. Unfortunately, we were not able to conduct the experiment and measure eIF2D protein levels upon siRNA transfection because we used the entire amount of protein lysates for DPR detection by immunoassays.

b. multiple siRNA targeting eIF2D should be tested to confirm that effects are specific to the targeted gene versus an off-target effect.

We have now tested a second siRNA against eIF2D and results are included in Figure 7.

With the first siRNA (EIF2D-siRNA-1), we observe robust reduction (~90%) at the mRNA level of EIF2D, but no effects on eIF2A (Figure 7A). This experiment was conducted on one patient line (26#6).

We followed the exact same procedure (repeated transfection) for a second siRNA (EIF2D-siRNA-2) on two additional patient lines (27#11 and 40#3). Unfortunately, in one line (27#11) we did not observe EIF2D knockdown, whereas in the other line (40#3) we observed a 50% reduction in EIF2D mRNA levels (Figure 7C-D). This variability in the efficiency of siRNAs to effectively knockdown EIF2D prevented us from drawing any strong conclusions on the role of EIF2D in DPR synthesis in the context of iPSC-derived neurons. Of note, variability in siRNA efficiency is commonly observed in human cultured neurons (PMID: 31587919). Nevertheless, our siRNA experiments (two siRNAs on two different iPSC lines) took several months to complete and we feel it is important to share our observations with the community. Hence, we have decided to include them in Figure 7.

Please, see Results section (lines 266 – 319) entitled “Knockdown of EIF2D in human iPSC-derived motor neurons” for a detailed description of our EIF2D results in the context of IPSC-derived neurons.

c. the authors need to be clearer about their interpretation of the data on GP/PG at this point in their study. Specifically, the GP that is measured here will include both sense-GP and antisense-PG. While Zu et al. demonstrated that the antisense strand is the primary source of GP/PG (which the authors should mention in the intro or results for the reader) the sense strand will still contribute to DPR production and could mask effects. In Figure 6D & F, the authors present more compelling data to support that eIF2D is dispensable for PG production. The authors may want to consider presenting those data sooner.

We completely agree. As suggested by the reviewer, we have extensively modified the Results section (lines 266 – 319) entitled “Knockdown of EIF2D in human iPSC-derived motor neurons”. We now note that: (i) our immunoassay cannot distinguish between poly-PG and poly-GP, (ii) the effects could be masked by poly-GP, and (iii) have also toned down our conclusions.

As the reviewer suggested, we changed the order and now present the HEK293 cell data first (Figure 6), followed by the iPSC data (Figure 7). This is because in our HEK293 transfections we use plasmid where nLuc is in the poly-PG frame. Hence, we have an accurate readout of poly-PG synthesis from the antisense transcript (Figure 6).

3. The authors design novel C4G2:NanoLuc constructs to study antisense DPR synthesis. Further validation of the constructs and the system would improve the current study.

a. Can the authors present data showing that the PR and PG bands in Figure 1D-1E co-stain with an anti-luciferase antibody since the DPR are tagged with nLuc (Figure 1A)? This would demonstrate that the luciferase signal is an effective and accurate readout for DPR production.

This is an excellent suggestion. In new Figure 1—figure supplement 1, we have addressed this concern. We transfected HEK293 and NSC34 cells with the antisense 35xCCCCGG plasmid that has nLuc in-frame with poly-PG. Upon Western Blotting, we detected both nLuc signal and poly-PG, suggesting nLuc is an accurate readout. We present these new data in the first section of Results.

We repeated the same experiment with nLuc in-frame with poly-PR. With Western blotting, we detected poly-PR but nLuc signal was extremely faint, at the limit of detection. This is likely due to three reasons:

As shown in Figure 1B-C, a luciferase assay shows that poly-PR::nLuc is expressed at much higher levels (3-fold) than poly-PG::nLuc.

b. The authors should consider insoluble versus soluble DPR when measuring DPR production. They only look at soluble DPR but the DPR levels within the insoluble fraction may differ (Quaegebeur et al. 2020; Licata et al. 2021) and this may impact the interpretation of the later data as the DPR may be enriched in the insoluble fraction and seem depleted in the soluble fraction measured using western immunoblots and the luciferase assay. Thus, can the authors demonstrate that the levels of DPR in the insoluble fraction are consistent with the soluble fraction in their system making the soluble fraction a reasonable read-out?

Following this suggestion, we repeated our transfections and 48h later isolated both soluble and insoluble fractions. We ran Western Blots for poly-PR and poly-PG and compared side-by-side DPR levels in soluble and insoluble fractions. To assess the quality of our lysates, we used H3K4me2, a reliable marker for the insoluble fraction (PMID: 25852189).

poly-PG: We did not detect any poly-PG in the insoluble fraction in NSC34 or HEK293 cells transfected with the poly-PG::nLuc construct (Figure 1 —figure supplement 2). Poly-PG was robustly detected in the soluble fraction under these experimental conditions.

poly-PR: We also did not detect any poly-PR in the insoluble fraction in HEK293 cells transfected with the poly-PR::nLuc construct (Figure 1 —figure supplement 2). We detected a negligible amount of poly-PR in the insoluble fraction in NSC34 cells transfected with the poly-PR::nLuc construct (Figure 1 —figure supplement 2). Hence, poly-PR is robustly detected in the soluble fraction – under these experimental conditions.

We present these new data in first section of Results (lines 118 – 138).

c. It is surprising that the authors do not see PA production in Figure 1 using their luciferase assay. Can the authors confirm these results using an antibody against PA? The authors should discuss why they do not see any PA production when PA is seen in patient samples.

Indeed, we do not detect poly-PA::nLuc with a luciferase assay under our specific experimental conditions, that is, 48h upon transfection of poly-PA::nLuc construct in HEK293 or NSC34 cells (Figure 1B-C). We repeated the poly-PA::nLuc transfections and ran a Western Blot with an antibody against poly-PA. Again, poly-PA is not detected (Figure 1 —figure supplement 3).

To evaluate the specificity of the poly-PA antibody, we generated a poly-PA::nLuc plasmid that has an artificial AUG start codon located at -67bp upstream from the CCCCGG repeats. This AUG is in poly-PA frame. With this construct, we detect poly-PA signal (Figure 1 —figure supplement 3).

Altogether, this result is consistent with a previous study by Boivin et al. (EMBO J, 2020, PMID: 31930538): these authors also did not detect poly-PA upon transfection of HEK293 cells with a different construct carrying 100 copies of the CCCCGG repeats. Similar to our study, they only detected poly-PA upon introduction of an artificial AUG initiation codon in the poly-PA reading frame. Possible reasons for not detecting poly-PA in our study and the Boivin et al. study:

  1. the transfected constructs lack intronic regions that contain the yet-to-be identified initiation codon for poly-PA translation.

  2. the cellular context (HEK293 or NSC34 cells) lacks the specific regulatory machinery (e.g., specific translation initiation factors) needed for poly-PA synthesis.

We have modified the Results (lines 110-114) accordingly to include these reasons: “Consistent with a previous study19, we did not detect poly-PA with luciferase assays (Figure 1B-C) and Western blotting (Figure 1—figure supplement 3) upon poly-PA::nLuc transfection. We surmise that the initiation codon for poly-PA may lie outside the 1,000 bp intronic sequence used in our construct, or that the specific regulatory machinery needed for poly-PA synthesis is lacking in the cellular context examined here (HEK293 and NSC34 cells).”

4. The authors should consider changes in cellular toxicity in their experiments as they are discussing potential impacts in human disease. Can they demonstrate that their manipulations alter cell survival or DPR-associated toxicity? what about changes in DPR aggregation (since GP/PG may not be toxic but these do aggregate and this is pathologically relevant to patients)?

Thanks for this suggestion. We found that poly-PG::nLuc or poly-PR::nLuc constructs reduced cell survival 48h after transfection (new Figure 1H-I). Notably, we observed partial rescue of the cell survival phenotype when poly-PR synthesis was specifically blocked by mutating the AUG initiation codon at -273 position to UAG (new Figure 2I). Importantly, we observed no rescue of the cell survival phenotype when poly-PG synthesis was specifically blocked by mutating the AUG initiation codon at -113 position to UAG (new Figure 5F). As the reviewer alluded, these data suggest that poly-PR is toxic and primarily responsible for the reduced cell survival phenotype.

With immunostaining, we detected poly-PR in the cytoplasm and the nucleus (Figure 1F, 2H). Importantly, mutation of the AUG initiation codon to UAG at -273 position completely blocked poly-PR synthesis – we verified this result with Western blotting against poly-PR (Figure 2B-E), a luciferase assay nLuc (Figure 2F-G), and with fluorescence immunostaining against poly-PR (new Figure 2H).

We obtained similar results for poly-PG (Figure 5). We note that immunofluorescent staining showed that poly-PG can be more easily detected in the cytoplasm compared to poly-PR (Figure 1F-G, 2H, 5E).

We have modified the Results accordingly to include all these new data.

5. The authors need to carefully check their citations and make sure the cited studies are accurately being described. Here are some examples of issues

a. Lines 56, 202-203 and throughout: the statements "… is independent of G4C2 repeats" don't make sense. The G4C2 repeat is what codes for the DPR so DPR production cannot be independent of the G4C2 sequence.

We apologize for any inaccuracies in reporting published information. We have checked again every cited publication and have extensively modified the text.

Please rephrase these sentences to better describe previous findings that translation is mediated by flanking sequence. Also, the authors may want to be more reflective when discussing this point. Specifically, the presence of an expanded G4C2 repeat alone without flanking sequence can result in DPR production in cultured cells and in flies. So while translation may be promoted by flanking sequence in the cited manuscripts, translation may also occur through RAN translation mechanisms that solely utilize the repeat. Both modes of translation may occur simultaneously in disease while the use of non-canonical and canonical start codons may be the primary contributor of DPR production.

Thank you for this suggestion which clarifies an important message of our work. We have significantly modified the first paragraph of Discussion to address this important point.

From Discussion (lines 359-370): “… it is thought that repeat-associated non-AUG (RAN) translation of poly-GA and poly-GR occurs via non-canonical CUG and AGG initiation codons, respectively, located in the intronic sequence upstream of the GGGGCC repeats 17, 18, 19, 20, 21, 35. Interestingly, studies in Drosophila and cultured cells showed that the presence of an expanded GGGGCC repeat alone, without flanking sequences, can result in DPR production14, 45. Hence, our findings together with those of previous studies suggest that DPR synthesis may involve at least three different modes of translation: (a) near-cognate start codon (e.g., CUG, AGG) dependent-translation for poly-GA and poly-GR from sense GGGGCC transcripts, (b) canonical AUG-dependent translation for poly-PR and poly-PG synthesis from antisense CCCCGG transcripts, and (c) DPR synthesis may also occur through RAN translation mechanisms that solely utilize the repeat. It is conceivable that all three modes of translation may occur simultaneously in disease, but the use of non-canonical and canonical initiation codons may be the primary contributor of DPR production”.

b. Line 224: the sentence describing Goodman et al. is incorrect. This study utilized a fly model that carried a ~100bp of the 5' flanking sequence found in patients and thus was not a G4C2 repeat alone as described. Further, eIF4B/H was not show to "directly bind" the G4C2 RNA but rather there was a correlation in eIF4B/H downregulation and reduced GR-GFP production with no impact on non-repeat transcripts.

Thank you. We have removed this sentence from the Discussion. In the revised manuscript, eIF4B/H are only mentioned in the Introduction.

c. Line 42: it may be more transparent to change "thought to" to "predicted to" for readers unfamiliar with the topic. "Thought to" indicates that there is evidence to support all 3 potential modes of toxicity vs predicted to which clearly indicates these are hypothetical scenarios. However, the contribution of reduced C9orf72 protein to disease is not well established. Further, this point needs to be de-emphasized in favor of gain-of-function modes of toxicity by listing it as the last potentiality versus the first potentiality.

We made the requested changes in first paragraph of Introduction.

d. Line 68: this is not an exhaustive list of RAN translation factors identified for G4C2. There is also DHX36 (Tseng et al. 2021) and eIF4B/eIF4H (Goodman et al. 2019; supported by data in Linsalata et al. 2019). There may be others as well. Please add missing information.

We agree. Some of this information was included in Discussion. We conducted a thorough literature search and the revised Introduction now includes a comprehensive list of reported factors necessary for DPR synthesis.

Lines 75-79: “Research efforts have uncovered a number of proteins that act at different steps of DPR synthesis: RNA helicases (eIF4A, DHX36, and DDX3X)17, 27, 28, proteins of the eIF4F complex (eIF4A, eIF4B, eIF4E, eIF4H) 17, 29, 30, 31, small ribosomal protein subunit 25 (RPS25)32, ribosome quality control protein ZNF59833, and eukaryotic translation initiation factors (DAP521, eIF2A20, eIF3F34, eIF2D35, and eIF2D co-factors DENR and MCTS-136).”

e. Please add citations after the following statements and check for additional instances where citations are missing.

i. Line 43: citations for loss of C9orf72 potentially contributing to disease.

We added the missing references.

ii. Line 52: citations for CUG for GA and AGG for GR.

We added the missing references.

iii. Line 58: citation for PG synthesis using AUG.

Done.

iv. Line 63: citation for the failed clinical trial.

Unfortunately, the results of the two clinical trials (Biogen and WAVE) were only communicated with a press release. We do cite studies that used an ASO to target the sense GGGGCC transcript in a C9ORF72 patient (PMIDs: 34949835, 35589711, 35592494); these studies are highly relevant to the ASO clinical trials.

Lines 71-72: “Lastly, two recent ALS clinical trials that specifically targeted the production of DPRs from the sense transcript failed24, 25, 26”.

We also checked for additional instances where citations were missing. We found 2 instances related to RNA and DPR toxicity in Introduction, and have now added more references.

Reviewer #2 (Recommendations for the authors):

In all the luciferase reporter figures, the relative values of all the constructs should be provided. It is expected that mutating AUGs will drastically reduce the translation level. However, whether the mutant reporter still have higher luciferase (by low efficient RAN translation) than no repeat control was not shown. This information needs to be included.

We now include in all luciferase quantifications the relative values (Figure 1B-C, 2F-G, 3C-D, 4C-D, 5C-D). In most cases, statistical analysis shows that the mutant reporter has luciferase levels comparable to the control construct (DC9) that bears no CCCCGG repeats. The fact that AUG mutation did not completely suppress DPR translation to the exact same level with the control (DC9) construct may have to do with rules that govern stringency of start codon selection, as described in a paper concerning the fungus Neurospora crassa (PMID: 23396971).

It has not been resolved what is the contribution of GP from sense and antisense strands. It has been shown in previous publications that reduction of sense repeats can significantly decrease the GP level. Therefore, there is not sufficient evidence to claim that knocking down eIF2D had no effect on GP level is due to the AUG translation of antisense repeats.

We completely agree. Our experiments in HEK293 cells were done with a poly-PG::nLuc construct, where nLuc is in the poly-PG frame (Figure 6). In HEK293 cells, KO or knockdown of eIF2D did not reduce poly-PG::nLuc expression. Please, see revised Results section (lines 188-203) entitled “eIF2D does not control poly-PR and poly-PG synthesis from the antisense transcript”.

In the experiment with iPSC-derived motor neurons (Figure 7), we toned down this claim because our DPR detection method cannot distinguish between poly-PG (from antisense RNA) and poly-GP (from sense RNA). As the reviewer suggested, we also included in that section of the Results the literature that suggests that “It has not been resolved what is the contribution of GP from sense and antisense strands”. Please, see revised Results section entitled “Knockdown of EIF2D in human iPSC-derived motor neurons”.

Lines 216 – 224: “We caution though that our immunoassay does not distinguish between poly-PG produced from the antisense transcript and poly-GP from the sense transcript (Figure 7B). Hence, a mild effect upon eIF2D knockdown on poly-PG (from antisense transcript) can potentially be masked by poly-GP (from sense transcript). Of note, PG/GP inclusions in brain tissue of C9ORF72 ALS/FTD patients contain ~80% of poly-PG from the antisense transcript and ~20% of poly-GP from the sense transcript14. However, other studies indicate that the exact contribution of sense poly-GP and antisense poly-PG C9ORF72 ALS/FTD has not been resolved25, 26, 46. Hence, our data hint that eIF2D may not affect poly-PG synthesis from the antisense CCCCGG transcript.”

Only one isogeneic iPSC line was used in the study. 3-5 individual lines should be used to demonstrate the conclusion.

We conducted new experiments. To test the role of eIF2D, we have now used three published iPSC lines from C9ORF72 carriers, as well as their isogenic control lines which had CRISPR/Cas9-mediated deletion of expanded GGGGCC repeats. As we describe in Results, we only achieved (~90%) efficient EIF2D knockdown in neurons derived from one iPSC line from a C9ORF72 carrier. In the remaining two lines, we witnessed variability in our siRNA approach to knockdown EIF2D.

This variability in the efficiency of siRNA to effectively knockdown EIF2D prevented us from drawing any strong conclusions on the role of EIF2D in DPR synthesis in the context of iPSC-derived neurons. Of note, variability in siRNA efficiency is commonly observed in human cultured neurons (PMID: 31587919). Nevertheless, our siRNA experiments (two siRNAs on two different iPSC lines) took several months to complete, and we feel it is important to share our observations with the community. Hence, we have decided to include them in Figure 7, but refrain from drawing strong conclusions on the role of EIF2D in DPR synthesis in the context of neurons derived from iPSCs of C9ORF72 carriers.

Please, see Results section (lines 205 – 239) entitled “Knockdown of EIF2D in human iPSC-derived motor neurons” for a detailed description of our EIF2D results in the context of IPSC-derived neurons.

To prove the endogenous DPR production from the antisense repeats starts from AUG, the regions containing the AUG codons should be mutated/deleted to assess how it affects the DPR level.

To specifically address this issue, the lab of one of the authors (Dr. Fen-Biao Gao) is currently preparing a separate manuscript. Specifically, the Gao lab tried multiple times to mutate the AUG codons in the poly-PG frame with CRISPR/Cas9 gene editing, but the region is very rich in GC content and the approach was unsuccessful. In this upcoming separate manuscript by the Gao lab, the authors were successful in generating a deletion of the intronic region that contains multiple AUG codons.

In Figure 5, eIF2D protein level should be measured by western blotting.

We observed efficient eIF2D knockdown at the protein level with Western blotting upon transfection with siRNA against eIF2D (Figure 6 —figure supplement 1). This experiment was conducted in HEK293 cells. The exact same siRNA was transfected in the iPSC-derived motor neurons from C9ORF72 patients (Figure 7). In iPSC-derived motor neurons, we validated efficient eIF2D knockdown at the mRNA level. Unfortunately, we were not able to conduct the experiment and measure eIF2D protein levels upon siRNA transfection because we used the entire amount of the protein lysates for DPR detection.

In figure 6, the GA level should be measured as the positive control.

We have now included this positive control (Figure 6). We observe reduced luciferase activity in EIF2D KO or shRNA conditions, albeit statistical significance is only observed with the EIF2D shRNA. We surmise there is genetic compensation (transcriptional adaptation) when EIF2D gene activity is completely removed in HEK293 cells, a phenomenon that recently received attention (PMID: 32816903).

[Editors’ note: what follows is the authors’ response to the second round of review.]

The manuscript has been improved but there are some remaining issues that need to be addressed, as outlined below:

Edits are needed to address concerns raised by Reviewer #3. In particular, the new data on eIF2D as a GA-specific RAN translation factor has lead to some conflicting results with previous studies. This conclusion needs to be more fairly presented in the text, especially in the abstract and discussion.

Reviewer #3 (Recommendations for the authors):

The authors included new data to address most of the concerns and significantly improved the manuscript. However, as the reviewer was concerned, some of the conclusions cannot be supported when tested in more patient lines.

Glad to see that reviewer #3 finds the revised manuscript improved.

In the two additional patient iPSN lines, eIF2D knockdown did not reduce the GA level, but instead increased the GA level. Although the authors reasoned that the siRNA did not work well in the other two lines, the line 40#3 has good knockdown, and the upregulation of GA in two out of three lines is hard to interpret.

We agree with the reviewer. We therefore mention in Results (lines 273-276) that we cannot draw any general conclusions on the role of EIF2D in DPR synthesis in the context of motor neurons derived from different iPSC lines of C9ORF72 carriers.

Furthermore, the data in Figure 6 also did not show a big effect of reducing eIF2D (both KO and shRNA) on poly-GA level. Overall, the data cannot support the claim that eIF2D is generally required for poly-GA translation from a CUG initiation codon.

We now make clear in the text that the reason for this is likely technical. In Sonobe et al., 2021 (PMID: 34654821), we observed a strong effect on poly-GA level in NSC34 cells upon EIF2D shRNA. For that experiment, we introduced the 75 GGGGCC repeats in the context of a monocistronic construct. In that same study, we also conducted a similar experiment in HEK293 cells using a bicistronic construct and observed a strong effect on poly-GA. In the current manuscript, we used a monocistronic construct in HEK293 cells and observed a small effect on poly-GA.

To communicate more precisely our findings on EIF2D, we edited the Abstract, Results and Discussion.

For the antisense repeat translation, the data in the manuscript showed the AUG can be used if the transcription starts more upstream. But without data from endogenous mutagenesis, this cannot be validated. The writing needs to be modified to clarify this point.

We have modified the Discussion (lines 314-320) to emphasize that future endogenous mutagenesis studies are needed to solidify our in vitro findings that rely on plasmids:

“The AUG initiation codons we identified as necessary for either poly-PR or poly-PG synthesis are predicted to be included in the endogenous antisense CCCCGG transcript based on 5’ Rapid Amplification of cDNA Ends (RACE) analysis on brain samples of C9ORF72 ALS/FTD patients14. Nevertheless, endogenous mutagenesis of these codons – in the native genomic context of the C9ORF72 locus – is needed in the future to further test the validity of our findings.”

There is no Figure 7—figure supplement 1.

We regret the omission of this file, which we have now provided. The reviewer had asked us to evaluate knockdown of eIF2D at the protein level.

In Figure 7 —figure supplement 1, we show efficient EIF2D knockdown at the protein level with Western blotting upon transfection with one siRNA against EIF2D, referred in the text as “EIF2D siRNA-1”. This experiment was conducted in HEK293 cells. The exact same siRNA (EIF2D siRNA-1) was transfected in iPSC-derived motor neurons from C9ORF72 patients (Figure 7). In iPSC-derived motor neurons, we validated efficient EIF2D knockdown only at the mRNA level. Unfortunately, we were not able to conduct the experiment and measure EIF2D protein levels upon siRNA transfection because we used the entire amount of protein lysates for immunoassays to detect DPR levels.

https://doi.org/10.7554/eLife.83189.sa2

Article and author information

Author details

  1. Yoshifumi Sonobe

    1. University of Chicago Medical Center, Chicago, United States
    2. Department of Neurology, University of Chicago Medical Center, Chicago, United States
    3. Neuroscience Institute, University of Chicago, Chicago, United States
    Contribution
    Conceptualization, Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology
    Competing interests
    No competing interests declared

  2. Soojin Lee

    1. RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, United States
    2. Department of Neurology, University of Massachusetts Chan Medical School, Worcester, United States
    Contribution
    Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared

  3. Gopinath Krishnan

    1. RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, United States
    2. Department of Neurology, University of Massachusetts Chan Medical School, Worcester, United States
    Contribution
    Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared

  4. Yuanzheng Gu

    Neuromuscular & Movement Disorders, Biogen, Cambridge, United States
    Contribution
    Formal analysis, Investigation, Methodology
    Competing interests
    affiliated with Biogen. The authors have no financial interests to declare

  5. Deborah Y Kwon

    Neuromuscular & Movement Disorders, Biogen, Cambridge, United States
    Contribution
    Formal analysis, Investigation
    Competing interests
    affiliated with Biogen. The authors have no financial interests to declare

  6. Fen-Biao Gao

    1. RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, United States
    2. Department of Neurology, University of Massachusetts Chan Medical School, Worcester, United States
    Contribution
    Formal analysis, Supervision, Funding acquisition, Project administration, Writing – review and editing
    Competing interests
    No competing interests declared

  7. Raymond P Roos

    1. University of Chicago Medical Center, Chicago, United States
    2. Department of Neurology, University of Chicago Medical Center, Chicago, United States
    3. Neuroscience Institute, University of Chicago, Chicago, United States
    Contribution
    Conceptualization, Formal analysis, Supervision, Funding acquisition, Writing – original draft, Project administration, Writing – review and editing
    Contributed equally with
    Paschalis Kratsios
    For correspondence
    rroos@neurology.bsd.uchicago.edu
    Competing interests
    No competing interests declared

  8. Paschalis Kratsios

    1. Neuroscience Institute, University of Chicago, Chicago, United States
    2. Department of Neurobiology, University of Chicago, Chicago, United States
    Contribution
    Conceptualization, Formal analysis, Supervision, Funding acquisition, Investigation, Visualization, Writing – original draft, Project administration, Writing – review and editing
    Contributed equally with
    Raymond P Roos
    For correspondence
    pkratsios@uchicago.edu
    Competing interests
    Reviewing editor, eLife
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1363-9271

Funding

Association for Frontotemporal Degeneration

  • Paschalis Kratsios

National Institute of Neurological Disorders and Stroke (R37NS057553)

  • Fen-Biao Gao

National Institute of Neurological Disorders and Stroke (R01NS101986)

  • Fen-Biao Gao

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

This work was supported by a grant from the Lohengrin Foundation (RPR, PK), a basic science pilot grant from the Association for Frontotemporal Degeneration (AFTD) (RPR, PK), and two NIH grants (R37NS057553 and R01NS101986) to FBG. The antibodies used to measure GA levels were discovered by Neurimmmune AG (Zurich, Switzerland).

Senior Editor

  1. Carlos Isales, Augusta University, United States

Reviewing Editor

  1. Hugo J Bellen, Baylor College of Medicine, United States

Version history

  1. Preprint posted: August 7, 2022 (view preprint)
  2. Received: September 2, 2022
  3. Accepted: September 6, 2023
  4. Accepted Manuscript published: September 7, 2023 (version 1)
  5. Version of Record published: September 29, 2023 (version 2)

Copyright

© 2023, Sonobe et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Yoshifumi Sonobe
  2. Soojin Lee
  3. Gopinath Krishnan
  4. Yuanzheng Gu
  5. Deborah Y Kwon
  6. Fen-Biao Gao
  7. Raymond P Roos
  8. Paschalis Kratsios
(2023)
Translation of dipeptide repeat proteins in C9ORF72 ALS/FTD through unique and redundant AUG initiation codons
eLife 12:e83189.
https://doi.org/10.7554/eLife.83189

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