1. Cancer Biology
  2. Cell Biology

Rpl24Bst mutation suppresses colorectal cancer by promoting eEF2 phosphorylation via eEF2K

  1. John RP Knight  Is a corresponding author
  2. Nikola Vlahov
  3. David M Gay
  4. Rachel A Ridgway
  5. William James Faller
  6. Christopher Proud
  7. Giovanna R Mallucci
  8. Tobias von der Haar
  9. Christopher Mark Smales
  10. Anne E Willis
  11. Owen J Sansom  Is a corresponding author
  1. CRUK Beatson Institute, Garscube Estate, United Kingdom
  2. Institute of Cancer Sciences, University of Glasgow, United Kingdom
  3. Department of Biological Sciences, University of Adelaide, Australia
  4. Lifelong Health, South Australian Health and Medical Research Institute, Australia
  5. UK Dementia Research Institute at the University of Cambridge and Department of Clinical Neurosciences, University of Cambridge, United Kingdom
  6. School of Biosciences, Division of Natural Sciences, University of Kent, United Kingdom
  7. MRC Toxicology Unit, University of Cambridge, United Kingdom
https://doi.org/10.7554/eLife.69729
Share this article
Cite this article
  1. John RP Knight
  2. Nikola Vlahov
  3. David M Gay
  4. Rachel A Ridgway
  5. William James Faller
  6. Christopher Proud
  7. Giovanna R Mallucci
  8. Tobias von der Haar
  9. Christopher Mark Smales
  10. Anne E Willis
  11. Owen J Sansom
(2021)
Rpl24Bst mutation suppresses colorectal cancer by promoting eEF2 phosphorylation via eEF2K
eLife 10:e69729.
https://doi.org/10.7554/eLife.69729
  2. Download BibTeX
  3. Download .RIS

Abstract

Increased protein synthesis supports the rapid cell proliferation associated with cancer. The Rpl24Bst mutant mouse reduces the expression of the ribosomal protein RPL24 and has been used to suppress translation and limit tumorigenesis in multiple mouse models of cancer. Here, we show that Rpl24Bst also suppresses tumorigenesis and proliferation in a model of colorectal cancer (CRC) with two common patient mutations, Apc and Kras. In contrast to previous reports, Rpl24Bst mutation has no effect on ribosomal subunit abundance but suppresses translation elongation through phosphorylation of eEF2, reducing protein synthesis by 40% in tumour cells. Ablating eEF2 phosphorylation in Rpl24Bst mutant mice by inactivating its kinase, eEF2K, completely restores the rates of elongation and protein synthesis. Furthermore, eEF2K activity is required for the Rpl24Bst mutant to suppress tumorigenesis. This work demonstrates that elevation of eEF2 phosphorylation is an effective means to suppress colorectal tumorigenesis with two driver mutations. This positions translation elongation as a therapeutic target in CRC, as well as in other cancers where the Rpl24Bst mutation has a tumour suppressive effect in mouse models.

Editor's evaluation

Briefly, Knight and colleagues investigate the role of the ribosome and translational control in colorectal tumours. A mutation of a protein of the large ribosomal subunit, RPL24, is used to suppress tumours driven by two mutations found commonly in cancer, in APC and KRAS. The authors identify a mechanistic output of the RPL24 BST mutation, eEF2 phosphorylation, which they demonstrate is a major effector in inhibiting tumour cell translation and proliferation. By targeting the eEF2 kinase eEF2K, they restore protein synthesis in RPL24 mutant cells. The conclusion is well supported by the experimental data presented, which implies that translation elongation can be a potential therapeutic target of KRAS mutated CRC. Importantly, Rpl24Bst in wildtype intestine does not affect epithelial cell proliferation and differentiation, suggesting that translation elongation can be used as tumour-specific target.

https://doi.org/10.7554/eLife.69729.sa0

Introduction

Tumour cells require rapid protein synthesis to acquire sufficient biomass in order to divide and, as such, protein synthesis is directly regulated by many oncogenic signalling pathways (Proud, 2019; Robichaud et al., 2019; Smith et al., 2021). As well as exploiting protein synthesis to drive cell division, cancers use translation to selectively synthesise a proteome geared towards proliferation, survival, and immune evasion. For example, in colorectal cancer (CRC) translation of the mRNA encoding the proto-oncogene c-MYC is selectively upregulated by eIF4E and mTORC1 signalling (Knight et al., 2020a). Likewise, independent reports have shown that the expression of the immune suppressive ligand PD-L1 is maintained on tumour cells by the activity of the translation factors eIF4A and eIF5B as well as phosphorylation of eIF4E and eIF2α (Suresh et al., 2020; Xu et al., 2019; Cerezo et al., 2018).

APC is the most commonly mutated gene in CRC, followed by TP53 and then KRAS (Guinney et al., 2015). We have previously shown that Apc-deficient mouse models of CRC are dependent on fast translation elongation, a process which can be suppressed by rapamycin leading to near complete reversal of tumorigenesis (Faller et al., 2015). This approach has had clinical success, where rapamycin (sirolimus) regressed APC-deficient polyps of familial adenomatous polyposis patients in two independent clinical trials (Yuksekkaya et al., 2016; Roos et al., 2020). Clinical data also suggest that CRCs increase translation elongation to potentiate proliferation, exemplified by the lower expression of the inhibitory kinase eEF2K correlating with worse patient survival (Ng et al., 2019). However, the regulation of translation elongation in CRC is complex, notably being influenced by specific cancer-associated mutations. We have shown that mutation of Kras drives resistance to rapamycin in Apc-deficient models both in terms of its effect on elongation and on proliferation (Knight et al., 2020a). This is consistent with KRAS-mutant CRCs being resistant to rapalogues, and other therapeutics (Ng et al., 2013; Spindler et al., 2013; DeStefanis et al., 2019) and highlights the unmet need for effective therapies against KRAS-mutant cancers. Indeed, a recently developed compound covalently targeting the KrasG12C mutation has shown remarkable potency against this specific mutation (Hong et al., 2020).

Evidence suggests that targeting translation in KRAS-mutant CRC can be effective. As well as our recent study re-sensitising Kras-mutant CRCs to rapamycin by targeting translation initiation (Knight et al., 2020a), we have demonstrated that Kras-mutant models of CRC depend upon the transporter SLC7A5 to maintain protein synthesis by facilitating the influx of amino acids (Najumudeen et al., 2021). These data support protein synthesis as a tractable target in CRC, with the discovery of additional factors regulating these pathways only improving the potential to target protein synthesis in the clinic (Knight and Sansom, 2021).

In this study, we analyse the previously characterised Rpl24Bst mutation in models of CRC with Apc deletion and Kras mutations. This spontaneously arising four nucleotide deletion in the Rpl24 gene, which encodes RPL24 (a component of the 60S ribosomal subunit also called large ribosomal protein subunit eL24), disrupts splicing of its mRNA, effectively resulting in a Rpl24 heterozygous animal (Oliver et al., 2004). Animals present with impaired dorsal pigmentation and malformed tails, among other defects, leading to the designation of a belly spot and tail (Bst) phenotype and the Rpl24Bst designation. This tool has been used to suppress overall protein synthesis in genetically engineered mouse models of c-MYC-driven B-cell lymphoma, Pten-deficient T-cell acute lymphoblastic leukaemia, T-cell-specific Akt2 activation and a carcinogen-driven model of bladder cancer (Barna et al., 2008; Signer et al., 2014; Hsieh et al., 2010; Jana et al., 2021). In these studies, tumorigenesis increased total protein synthesis, which was rescued by the Rpl24Bst mutation. Suppression of protein synthesis was sufficient to slow tumorigenesis, with some Rpl24Bst/+ mice surviving over three times longer than the median survival of tumour model mice wild-type for Rpl24. However, the means by which the Rpl24Bst mutation suppresses protein synthesis was not addressed in these studies, instead deferring to the original observation that there is likely a defect in ribosome production (Oliver et al., 2004).

Here, we show that decreased expression of RPL24 suppresses proliferation and extends survival in an Apc-deficient Kras-mutant pre-clinical mouse model of CRC. Importantly, we find that reduced RPL24 does not alter the available pool of ribosomal subunits, as previously suggested, but instead alters signalling that regulates a translation factor. Specifically, we observe increased phosphorylation of eEF2, an event that inhibits translation elongation. We directly measure translation elongation to show that the Rpl24Bst mutation suppresses protein synthesis at the elongation step, consistent with increased phosphorylation of eEF2. Reducing P-eEF2 by inactivating its inhibitory kinase, eEF2K, completely restores translation elongation and protein synthesis rates as well as reversing the beneficial effect of Rpl24Bst mutation in our tumour models. Interestingly, we find that the Rpl24Bst mutation has no effect in Kras wild-type models. We attribute this to a specific requirement for physiological RPL24 in Kras-mutant cells, which may provide additional mechanisms to target these cells clinically.

Finally, we provide evidence from transcriptomic and proteomic analyses of patient tissue that supports the signalling pathways uncovered in our pre-clinical models being altered in the human disease. Altogether this work demonstrates that the Rpl24Bst mutation is tumour suppressive in Kras-mutant CRC and elucidates an unexpected mode of action underlying its impact on protein synthesis. This has implications for targeting translation elongation in cancer and provides mechanistic insight to supplement the previously published efficacy of the Rpl24Bst mouse in models of cancer and other diseases.

Results

Rpl24Bst mutation does not alter intestinal homeostasis but suppresses the rate of translation

Prior to addressing the role of RPL24 in intestinal tumorigenesis we first analysed whether the Rpl24Bst mutation had any effect on normal intestinal homeostasis (Figure 1A). We observed a reduction in RPL24 expression (Figure 1B), but no differences in intestinal architecture, proliferation shown by BrdU incorporation (Figure 1B) or abundance of stem cells (Olfm4), Paneth cells (lysozyme), or goblet cells (AB/PAS) (Figure 1—figure supplement 1A). Similarly, homeostasis in the colons of Rpl24Bst mutant mice was unaffected, exemplified by no change in proliferation scored by BrdU incorporation (Figure 1—figure supplement 1C). In accordance with these in vivo observations, ex vivo organoids made from the small intestines of Rpl24Bst/+ mice established in culture and grew comparably to wild-type controls (Figure 1C and Figure 1—figure supplement 2A). Surprisingly, we measured a >40% reduction in total protein synthesis, by 35S-methionine labelling, in Rpl24Bst/+ organoids compared to wild-type counterparts (Figure 1D). Therefore, despite no change in homeostasis, Rpl24Bst mutation had a dramatic effect on protein synthesis. This indicates a resistance to reduced protein synthesis in the wild-type intestine, which appears to function normally despite a dramatic reduction in protein output.

Figure 1 with 2 supplements see all
Download asset Open asset
Rpl24Bst mutation slows translation elongation but does not affect homeostasis in the intestinal epithelium.

(A) Schematic representation of experimental procedure. Intestines from wild-type or Rpl24Bst/+ mice were analysed by histology or processed to make intestinal organoids. (B) Staining for H&E, BrdU, RPL24, and P-eEF2 T56 in sections from the small intestines of wild-type and Rpl24Bst/+ mice. Red brackets in P-eEF2 staining indicate crypts and villi, corresponding to quantification to the right. Bars represent 50 µm. Graphs on the right show scoring for BrdU-positive cells, and H-score calculated for RPL24 and P-eEF2 T-56, plotted ± standard error of the mean (SEM). Significance was determined by one-tailed Mann–Whitney U test. (C) Micrographs of small intestinal organoids generated from wild-type or Rpl24Bst/+ mice. (D) Protein synthesis rate quantified by 35S-methionine incorporation in wild-type or Rpl24Bst/+ organoids (n = 3), expressed relative to the wild-type protein synthesis rate (=1). Data are from three biologically independent organoid lines for each genotype represented ± SEM with significance determine by Mann–Whitney U test. (E) Representative polysome profiling from wild-type or Rpl24Bst/+ organoids. Average polysome:subpolysome ratios from three independent organoid lines per genotype are shown above each profile ± SEM. (F) Western blotting from protein lysates generated from three biologically independent organoid lines for each genotype. Values for RPL24 expression relative to β-actin and P-eEF2 T56 relative to eEF2 are shown under each lane. The average of the wild-type lanes in both cases has been set to 1. There is a 47% reduction in RPL24 and a 66% increase in P-eEF2 T56 in the Rpl24Bst/+ organoids. (G) Schematic of the potential role of RPL24 in regulating protein synthesis via eEF2. All scale bars are 50 μm.

Figure 1—source data 1

Top: data from Figure 4F.

Bottom: original western blotting images with areas for each antibody annotated and boxed in red.

https://cdn.elifesciences.org/articles/69729/elife-69729-fig1-data1-v2.pdf

We then investigated how Rpl24Bst mutation suppresses translation. Performing sucrose density gradients to quantify the number of ribosomes engaged in active translation we observed an increase in ribosomes bound to mRNAs in polysomes in Rpl24Bst/+ organoids, particularly the heavy polysomes (Figure 1E). This appears to contradict the reduction in global protein synthesis observed in Figure 1D. However, we and others have previously observed increased polysomes in conjunction with reduced protein synthesis in model systems where translation elongation is reduced (e.g. Knight et al., 2015; Faller et al., 2015). In these instances, slowed translation elongation increased the abundance of polysomes via changes in the phosphorylation of the elongation factor eEF2. We therefore assayed the regulatory phosphorylation of eEF2 (threonine 56/T56) in wild-type and Rpl24Bst mutant samples. This phosphorylation event excludes eEF2 from the ribosome thereby impairing the translocation step of translation elongation, reducing protein synthesis (Ryazanov and Davydova, 1989; Carlberg et al., 1990).

In small intestinal tissue assayed by immunohistochemistry (IHC) we observed an increase in P-eEF2 T56, specifically in the proliferating crypt and transit amplifying zone of Rpl24Bst/+ mouse intestines (Figure 1B). Likewise, we observed a 66% increase in P-eEF2 T56 in lysates generated from Rpl24Bst/+ organoids compared to wild-type organoids (Figure 1F). These organoids also showed a 47% reduction in RPL24 expression by western blot (Figure 1F). Thus, in these two proliferative settings (intestinal crypts in situ and ex vivo organoids) Rpl24Bst mutation increases the phosphorylation of eEF2, which is known to suppress translation. Surprisingly, we observed that in the differentiated villus, Rpl24Bst mutation suppressed P-eEF2 T56 (Figure 1B). The reasons for this are unclear but may relate to different cell functions in the two compartments. This effect on P-eEF2 T56 is specific, as we observed no effect on the phosphorylation of other translation related proteins, 4E-BP1 or RPS6 (at S240/S244), readouts for modulation of signalling downstream of mTORC1 (Figure 1—figure supplement 1A, B). Similarly, we saw no change in the phosphorylation of the translation stress marker eIF2α in Rpl24Bst mutant mice (Figure 1—figure supplement 1A, B).

Altogether, this analysis of wild-type tissue indicates that physiological RPL24 expression is not required for proliferation or function, but reduction of RPL24 expression reduces the rate of translation. Interestingly, this involves regulation of translation elongation and correlates with increased P-eEF2 (Figure 1G). Previously the Rpl24Bst mutation had been suggested to suppress ribosome biogenesis, resulting in uneven 40S and 60S ratios. However, we observed no alteration in the relative levels of the 40S and 60S subunits in sucrose density gradients (Figure 1—figure supplement 2B), consistent with previous reports that RPL24 deletion has negligible effect on ribosome biogenesis (Barkić et al., 2009).

The wild-type mouse intestine regenerates following γ-irradiation, dependent on Wnt and mitogen-activated protein kinase (MAPK) signalling pathways. These pathways are often deregulated in colorectal tumours, such that this intestinal regeneration acts as a surrogate for oncogenic potential, with reduced regenerative capacity indicative of reduced tumorigenic proliferation (Faller et al., 2015). We observe that mutation of Rpl24 restricts regeneration of the small intestine (Figure 1—figure supplement 2C). Thus, RPL24 expression enables regeneration, which may correlate with effects in tumorigenesis.

RPL24 is required for proliferation in Apc-deficient Kras-mutant intestinal tumours

Next, we analysed the effect of the Rpl24Bst mutation on a model of CRC driven by tamoxifen inducible VillinCreER-mediated deletion of Apc and activation of KRAS with a G12D mutation. This model can be used with homozygous deletion of Apc (Apcfl/fl) where intestinal hyperproliferation generates a short-term (3–4 days) model or with heterozygous deletion of Apc (Apcfl/+) where intestinal adenomas form following spontaneous loss of the second copy of Apc. The recombination of a lox-STOP-lox allele at the endogenous Kras locus expresses a constitutively active G12D mutant form of the protein. Mice were generated with the Apcfl/fl and KrasG12D alleles with and without the Rpl24Bst mutation (Figure 2A). Hyperproliferation in the Apcfl/fl KrasG12D/+ Rpl24Bst/+ mutant mice was significantly suppressed compared to Apcfl/fl KrasG12D/+ control mice (Figure 2B, C). Reduced RPL24 expression was confirmed by IHC (Figure 2C) and coincided with increased P-eEF2 throughout the proliferative crypt area of the Apcfl/fl KrasG12D/+ Rpl24Bst/+ intestine (Figure 2C and Figure 2—figure supplement 1). Hyperproliferation in the colon mirrored that of the small intestine, with reduced proliferation in mice mutant for Rpl24 compared to those expressing wild-type levels of RPL24 (Figure 2—figure supplement 1). In parallel, organoids were derived from the small intestines of the same genotypes (Apcfl/fl KrasG12D/+ and Apcfl/fl KrasG12D/+ Rpl24Bst/+) and their growth compared. Rpl24Bst mutation resulted in significantly less proliferation ex vivo (Figure 2D), consistent with the in vivo experiment shown in Figure 2B.

Figure 2 with 2 supplements see all
Download asset Open asset
Rpl24Bst mutation suppresses proliferation and extends survival in an Apc-deficient Kras-mutant mouse model of colorectal cancer (CRC).

(A) Schematic representation of experimental protocols. VillinCreER Apcfl/fl KrasG12D/+ or VillinCreER Apcfl/fl KrasG12D/+ Rpl24Bst/+ mice were induced by intraperitoneal injection of tamoxifen at 80 mg/kg then intestinal tissue analysed 3 days later. Tissue was taken for histological analysis or processed into intestinal organoids. (B) Quantification of BrdU incorporation in small intestinal crypt/villus axes following deletion of Apc and activation of Kras, with (n = 4) or without (n = 3) Rpl24Bst mutation. Data are represented as the mean number of BrdU-positive cells per half crypt/villus from >20 axes per mouse ± standard error of the mean (SEM). Significance was determined by Mann–Whitney U test. (C) Representative images of intestines from the same experiment as in (B), stained for H&E, BrdU, P-eEF2 T56, and RPL24. The red bar on the H&E images indicates the extent of the proliferative zone. Bars represent 50 µm. (D) Apcfl/fl KrasG12D/+ organoids with or without Rpl24Bst mutation were grown for 4 days and growth relative to day 1 determined by Cell-Titer Blue assay. Data show the mean ± SEM of n = 3 independent organoid lines. Significance was determined by one-tailed Mann–Whitney U test. (E) Top: schematic of experimental protocol. VillinCreER Apcfl/+ KrasG12D/+ or VillinCreER Apcfl/+ KrasG12D/+ Rpl24Bst/+ mice induced with 80 mg/kg tamoxifen then monitored until clinical endpoint. Survival plot for these genotypes for the days post-induction that they reached endpoint. The median survival and n number for each cohort are shown and significance determined by Mantel–Cox test. Censored subjects were removed from the study due to non-intestinal phenotypes. All scale bars are 50 μm.

In the tumour model, where a single copy of Apc is deleted, Apcfl/+ KrasG12D/+ Rpl24Bst/+ mice lived on average 32 days longer than Apcfl/+ KrasG12D/+ controls, an extension of survival of 45% (Figure 2E). Furthermore, Apcfl/+ KrasG12D/+ Rpl24Bst/+ organoids derived from the adenomas in this tumour model grew more slowly than controls (Figure 2—figure supplement 2). There was no significant difference in the number or volume of tumours at experimental endpoint (Figure 2—figure supplement 2), indicating that adenomas can form but take longer to reach a clinically significant burden. Therefore, RPL24 enables proliferation in Apc-deficient, KRAS-activated cells within the intestinal epithelium of the mouse.

RPL24 maintains translation elongation in Apc-deficient Kras-mutant intestinal tumour models

The suppression of tumorigenesis in the Apc-deficient Kras-mutant model correlated with increased phosphorylation of eEF2 (Figure 2C and Figure 2—figure supplement 1). Increased P-eEF2 was not accompanied by increased P-eIF2α, which controls translation initiation in response to various stress signals (Figure 2—figure supplement 1). This indicates that stress signalling to eIF2α was not influenced by the Rpl24Bst mutation, highlighting the specificity in the RPL24-dependent regulation of eEF2. To investigate this further we used three methods to measure the rate of translation: polysome profiling, 35S-methionine labelling, and harringtonine run-off assays (Figure 3A). Polysome profiling from extracted crypts from Apcfl/fl KrasG12D/+ and Apcfl/fl KrasG12D/+ Rpl24Bst/+ mice showed an increase in polysomes with the Rpl24 mutation (Figure 3B), and notably a significant increase in the quantity of heavy polysomes (Figure 3C). Intestinal organoids of the same genotype showed a 35% reduction in 35S-methionine incorporation (Figure 3D). These same organoids had a greater than 40% decrease in elongation rate measured by harringtonine run-off (Figure 3E and Figure 3—figure supplement 1A). Together these data provide compelling evidence that normal RPL24 expression is required to maintain translation elongation in this CRC model. Polysome profiles and protein synthesis rate measurements from Apcfl/+ KrasG12D/+ Rpl24Bst/+ adenoma cultures also showed more polysomes and lower protein synthesis compared to control adenoma cultures (Figure 3—figure supplement 1B, C). The reduced protein synthesis rate does not correlate with differences in free ribosomal subunit availability as the ratio of 40S to 60S subunits is unchanged by the Rpl24 mutation in Apc-deficient Kras-mutant cells (Figure 3—figure supplement 1D). To investigate this further we assayed selected ribosomal protein abundances in Apcfl/fl KrasG12D/+ and Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids by western blot. RPL10 expression was increased by the Rpl24 mutation, RPL22 was decreased, while RPS6 levels were unchanged (Figure 3—figure supplement 1E). While the significance of these individual changes is unknown, the data show that there is not a global suppression of ribosomal protein expression in Rpl24 mutant cells, consistent with no change in free ribosomal subunit levels.

Figure 3 with 2 supplements see all
Download asset Open asset
Rpl24Bst mutation slows translation elongation in Apc-deficient Kras-mutant mouse models of colorectal cancer (CRC).

(A) Schematic representation of experimental approach. VillinCreER Apcfl/fl KrasG12D/+ or VillinCreER Apcfl/fl KrasG12D/+ Rpl24Bst/+ mice were induced by intraperitoneal injection of tamoxifen at 80 mg/kg then intestinal tissue analysed 3 days later. Intestines were enriched for crypt epithelium for sucrose density analysis or processed into intestinal organoids. (B) Representative sucrose density polysome profiles generated from Apcfl/fl KrasG12D/+ intestinal extracts with or without the Rpl24Bst mutation. Subpolysomal components (40S, 60S, and 80S) and polysomes are labelled, with the polysomes also split pictorially into light and heavy. (C) Quantification of the heavy:light polysome ratio from the experiment in (B). Data show the mean of analysis from three mice ± standard error of the mean (standard error of the mean, SEM) with significance determined by one-tailed Mann–Whitney U test. (D) Relative protein synthesis rate quantified by 35S-methionine incorporation in Apcfl/fl KrasG12D/+ three biologically independent organoid lines either wild-type or mutant for Rpl24Bst. Data are represented ± SEM with significance determine by Mann–Whitney U test. (E) Ribosome run-off rate determined in Apcfl/fl KrasG12D/+ small intestinal organoid lines either wild-type or mutant for Rpl24Bst (n = 3 per genotype). Data are represented as the mean of three biological replicates ± SEM with significance determine by Mann–Whitney U test. Raw data are available in Figure 3—figure supplement 1A. (F) Schematics of the regulation of protein synthesis and tumour proliferation downstream of RPL24. Smaller RPL24 in bottom scheme represents reduced RPL24 expression. ‘P’ represents phosphorylation of eEF2.

The reduced expression of RPL24, but maintained ribosomal subunit stoichiometry, in Rpl24Bst/+ mice raises the possibility of heterogeneous ribosomes (reviewed by Gay et al., 2021), with some potentially lacking RPL24. To address this, we purified protein from sucrose density gradients from Apcfl/fl KrasG12D/+ and Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids and analysed ribosomal protein expression within subpolysomes and polysomes (Figure 3—figure supplement 2). The large subunit protein RPL10 showed little change in distribution between the two genotypes, consistent with no change in free ribosomal subunit levels and a shift from light to heavy polysomes, but similar overall polysome number. Importantly, RPL24 can incorporate into 60S, 80S, and polysomes in Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids. The distribution of RPL24 appeared altered, with less in the 60S and more in the polysomes, although this was not significant. It is difficult to interpret absolute amounts of protein in each fraction and to compare this between genotypes. However, considering that Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids express less RPL24 (Figure 3—figure supplement 1E) the reduction in RPL24 in 60S subunits is even more striking. Thus, our data do not rule out the possibility of ribosome heterogeneity in that some 60S subunits in Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids may lack RPL24.

Interpreting this molecular analysis in conjunction with the effects on tumorigenesis leads to the conclusion that RPL24 expression maintains translation elongation and protein synthesis rates, which in turn maintain tumour-related proliferation (Figure 3F). Suppressing RPL24 expression increases P-eEF2, an effect also seen in lysates from Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids (Figure 3—figure supplement 1E), which decreases the rate of elongation and overall protein synthesis and correlates with suppressed tumorigenesis and proliferation in vivo.

Rpl24 mutation has no effect in CRC models expressing wild-type Kras

In parallel to analysing the effect of Rpl24 mutation in Apc-deficient Kras-mutant intestinal tumours, we also assessed its role in Apc-deficient models wild-type for Kras. We have previously shown that these are dependent on signalling from mTORC1 to maintain low levels of P-eEF2, and that rapamycin induces P-eEF2 to great therapeutic benefit (Faller et al., 2015). We observed that the hyperproliferation in the small intestine or colon of Apcfl/fl mice was not reduced by the Rpl24Bst mutation (Figure 4A, B and Figure 4—figure supplement 1A). Furthermore, in both germline ApcMin/+ and inducible Apcfl/+ models of Apc deficiency we see no benefit of the Rpl24Bst mutation, with no difference in survival or tumour development (Figure 4C and Figure 4—figure supplement 1B). In agreement, Apcfl/fl organoids with the Rpl24Bst mutation grew at an identical rate to those wild-type for Rpl24 in culture (Figure 4D). Together these data demonstrate that reduced RPL24 expression does not limit tumorigenesis in Apc-deficient CRC models with wild-type Kras.

Figure 4 with 2 supplements see all
Download asset Open asset
Rpl24Bst mutation does not suppress proteins synthesis or proliferation in Apc-deficient Kras wild-type mouse models of colorectal cancer (CRC).

(A) Schematic representation of experimental approach. VillinCreER Apcfl/fl or VillinCreER Apcfl/fl Rpl24Bst/+ mice were induced by two intraperitoneal injection of tamoxifen at 80 mg/kg on days 0 and 1 then intestinal tissue analysed on day 4. Intestines were analysed histologically or intestinal organoids generated. (B) Top: representative micrographs showing proliferation as BrdU positivity and extent of proliferation as a red bar in H&E image. RPL24 and P-eEF2 T56, staining is also shown for each genotype. Bars represent 50 µm. Below: BrdU scoring from Apcfl/fl or Apcfl/fl Rpl24Bst/+ mouse intestines and H-scores for RPL24 and P-eEF2 T56 protein levels. For BrdU scoring BrdU was administered 2 hr before sampling and at least 20 half crypt/villus axes were scored per animal and the mean plotted ± standard error of the mean (standard error of the mean, SEM). (C) ApcMin/+ tumour model survival curve, for mice with and without Rpl24Bst mutation. Lack of a significant difference was determined by Mantel–Cox test. (D) Relative growth of Apcfl/fl and Apcfl/fl Rpl24Bst/+ small intestinal organoids over 3 days, measure by Cell-Titer Blue assay. The average change in proliferation is plotted from three independent biological replicates per genotype. (E) Relative protein synthesis rates quantified from 35S-methionine incorporation into Apcfl/fl, Apcfl/fl treated with 250 nM rapamycin for 24 hr and Apcfl/fl Rpl24Bst/+ small intestinal organoids. Significant changes were calculated by one-way analysis of variance (ANOVA) with Tukey’s multiple comparison. N = 3 per genotype with the mean protein synthesis rate for each genotype plotted ± SEM. (F) Relative expression of ribosomal protein mRNAs in VillinCreER Apcfl/fl and VillinCreER Apcfl/fl KrasG12D/+ whole intestine samples, where wild-type tissue has been normalised to 1. The fold increase in expression from Apcfl/fl to Apcfl/fl KrasG12D/+ samples for Rpl24 and the average of all other RP mRNAs are shown. Statistical analysis was by one sample t-test of the other RP mRNA fold changes using the fold change for Rpl24 mRNA as the hypothetical mean. All scale bars are 50 μm.

Figure 4—source data 1

Data relate to Figure 4F and Figure 4—figure supplement 2D.

Raw values tab shows the tabulated RNA sequencing reads for ribosomal proteins from triplicate wild-type (WT), VillinCreER Apcfl/fl (Apc) and VillinCreER Apcfl/fl KrasG12D/+ (Apc Kras) from whole intestine samples. Averages for the replicates are shown and fold change compared to WT expression. Average values tab shows all fold changes and the average fold change across all ribosomal proteins except Rpl24, and the fold change for Rpl24 for comparison.

https://cdn.elifesciences.org/articles/69729/elife-69729-fig4-data1-v2.xlsx

Despite no effect on proliferation, we observed an increase in P-eEF2 in Apcfl/fl Rpl24Bst/+ intestines compared to Apcfl/fl (Figure 4B), showing that P-eEF2 is consistently increased in the intestinal crypts of Rpl24Bst/+ mice. However, we detected no change in the ratio of polysomes to subpolysomes in Apcfl/fl Rpl24Bst/+ intestines compared to Apcfl/fl (Figure 4—figure supplement 2A, B) and no change in protein synthesis rate between organoids of these same genotypes (Figure 4E). In contrast, rapamycin treatment significantly reduces protein synthesis in Apcfl/fl organoids treated in parallel (Figure 4E). From these data, we conclude that the change in P-eEF2 does not limit the rate of protein synthesis which allows efficient tumorigenesis in these Kras wild-type models of CRC. There was no alteration in the phosphorylation status of 4E-BP1, RPS6, or eIF2α in the Rpl24Bst mutants in the Apcfl/fl model (Figure 4—figure supplement 2C), indicating that translation promoting mTORC1 signalling remains high while translation stress signalling to eIF2α is unchanged.

We hypothesised that the reason for the KRAS specificity seen with the Rpl24Bst mutation may relate to expression levels between the different genotypes analysed. Using unbiased RNA sequencing data from wild-type, Apcfl/fl and Apcfl/fl KrasG12D/+ small intestinal tissue we observed a consistent increase in ribosomal protein expression following Apc deletion, then again following KRAS activation (Figure 4—figure supplement 2D). This is consistent with previous reports (Smit et al., 2020), and a requirement to increase protein synthesis as a direct consequence of KRAS activation. Indeed, the mRNAs for all ribosomal proteins with sufficient reads were increased on average nearly 1.5-fold by KRAS activation in the small intestine (Figure 4F). In contrast, the Rpl24 mRNA was only increased by 1.14-fold following Kras mutation, despite a nearly twofold increase following deletion of Apc (Figure 4F). This manifests as a significant difference in the RNA expression of Rpl24 compared to the other ribosomal proteins. Therefore, RPL24 expression may be sufficient in Rpl24Bst mice in Apc-deleted models, but then becomes limiting following Kras mutation due to the limited upregulation of Rpl24 expression accompanying KRAS activation.

Genetic inactivation of eEF2K completely reverses the anti-proliferative benefit of Rpl24 mutation

Thus far we have demonstrated a correlation between the increase in P-eEF2 and the slowing of translation elongation following Rpl24Bst mutation. To test whether the slowing of elongation caused by Rpl24Bst mutation was dependent on P-eEF2, we used a whole-body point mutant of eEF2K, the kinase that phosphorylates eEF2, which almost completely inactivates its kinase activity (Gildish et al., 2012). We crossed this Eef2kD273A/D273A allele to the Apcfl/fl KrasG12D/+ Rpl24Bst/+ mice to generate Apcfl/fl KrasG12D/+ Rpl24Bst/+ Eef2kD273A/D273A mice. In the short-term hyperproliferation model, the inactivation of Eef2k completely reversed the suppression of proliferation seen in Apcfl/fl KrasG12D/+ Rpl24Bst/+ small intestines (Figure 5A–C), and the medial colon (Figure 5—figure supplement 1A). The kinase inactive Eef2k allele resulted in P-eEF2 being undetectable (Figure 5C and Figure 2—figure supplement 1), and we previously reported no difference in hyperproliferation between Apcfl/fl KrasG12D/+ and Apcfl/fl KrasG12D/+ Eef2kD273A/D273A models (Knight et al., 2020a). The reversal in proliferation rate with Eef2k and Rpl24Bst mutations was also seen in intestinal organoid growth after 3 days (Figure 5D). Furthermore, inactivation of eEF2K reverted the survival benefit of the Rpl24Bst mutation in the Apcfl/+ KrasG12D/+ tumour model (Figure 5E). This experiment also shows the lack of effect of the Eef2kD273A/D273A mutation on tumorigenesis. Indeed, Eef2kD273A/D273A had no impact on tumorigenesis in inducible Apcfl/+ and germline ApcMin/+ models of Apc-deficient intestinal tumorigenesis (i.e., expressing wild-type Kras) (Figure 5—figure supplement 1B, C). Consistent with this, the Eef2kD273A/D273A allele had no effect on proliferation in the Apcfl/fl hyperproliferation model, either alone or in combination with Rpl24Bst mutation in both the small intestine and colon (Figure 5—figure supplement 1D). Heterozygous inactivation of Eef2k resulted in a slight reversal of the extension of survival associated with Rpl24Bst mutation in the Apcfl/+ KrasG12D/+ tumour model (Figure 5—figure supplement 2A).

Figure 5 with 2 supplements see all
Download asset Open asset
Genetic inactivation of Eef2k reverses the reduced tumorigenesis following Rpl24Bst mutation in Apc-deficient Kras-mutant models of colorectal cancer (CRC).

(A) Schematic representation of experimental approach. VillinCreER Apcfl/fl KrasG12D/+, VillinCreER Apcfl/fl KrasG12D/+ Rpl24Bst/+, or VillinCreER Apcfl/fl KrasG12D/+ Rpl24Bst/+ Eef2kD273A/D273A mice were induced by intraperitoneal injection of tamoxifen at 80 mg/kg then intestinal tissue analysed 3 days later. Intestines were analysed histologically or processed into intestinal organoids. (B) BrdU incorporation quantified from within small intestinal crypt/villus axes following deletion of Apc and activation of Kras, either wild-type of mutant for Rpl24, or mutant for Rpl24 and Eef2k. Data are represented as the mean of at least 20 crypt/villi per mouse ± standard error of the mean (SEM) with significance determined by one-way analysis of variance (ANOVA) with Tukey’s multiple comparison. N = 3 per genotype. (C) Representative images of H&E, BrdU, and P-eEF2 T56 staining of intestines from the same experiment as (B). Red bar on H&E indicates extent of proliferative zone. Bars represent 50 µm. (D) Organoids deficient for Apc and with activated Kras with or without Rpl24Bst mutation, or mutant for both Rpl24 and Eef2k were grown for 3 days and growth relative to day 1 determined by Cell-Titer Blue assay. Data show the mean ± SEM of n = 3 biologically independent organoid lines. Significance was determined by one-tailed Mann–Whitney U test. (E) Survival plot for Apc Kras ageing mice with or without the Rpl24Bst mutation, Eef2K mutation and with both Rpl24 and Eef2k mutations. Median survival and n numbers for each cohort are shown and significance determined by Mantel–Cox test. Censored subjects were removed from the study due to non-intestinal phenotypes. All scale bars are 50 μm.

Therefore, mutation of Rpl24 requires functional eEF2K to suppress proliferation and extend survival in this model of CRC. There was no alteration in the number or cumulative size of tumours in the ageing model at endpoint (Figure 5—figure supplement 2B), again identifying tumour cell proliferation, rather than tumour initiation, as the principal factor regulated by RPL24 and eEF2K. These data also confirm that the effect of Rpl24Bst mutation on the tumour phenotype is entirely dependent upon eEF2K activity.

Rpl24Bst mutation suppresses translation exclusively via eEF2K/P-eEF2

Next, we addressed the molecular consequences of inactivation of eEF2K downstream of Rpl24Bst mutation. The reduction in protein synthesis that results from Rpl24Bst mutation is completely reversed by inactivating eEF2K (Figure 6A), with Apcfl/fl KrasG12D/+ Rpl24Bst/+ Eef2kD273A/D273A organoids having an almost identical translation capacity as Apcfl/fl KrasG12D/+ controls. Similarly, the rate of ribosome run-off was also reverted in Apcfl/fl KrasG12D/+ Rpl24Bst/+ Eef2kD273A/D273A compared to Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids, again to the same rate as controls with wild-type Rpl24 (Figure 6B and Figure 6—figure supplement 1A). In agreement, crypt fractions from Apcfl/fl KrasG12D/+ Rpl24Bst/+ Eef2kD273A/D273A mice have a reduced, although not significant, the number of heavy polysomes compared to Apcfl/fl KrasG12D/+ Rpl24Bst/+ crypt cells (Figure 6—figure supplement 2B), indicating faster translation elongation following eEF2K inactivation.

Figure 6 with 2 supplements see all
Download asset Open asset
Genetic inactivation of Eef2k restores translation rates following Rpl24Bst mutation.

(A) 35S-methionine incorporation to determine relative protein synthesis by in Apcfl/fl KrasG12D/+ small intestinal organoids wild-type or mutant for Rpl24 or with both Rpl24 andConsistent with this, the Eef2k mutations. Data are represented ± standard error of the mean (standard error of the mean, SEM) with significance determined by one-way analysis of variance (ANOVA) with Tukey’s multiple comparison. N = 3 per genotype, each representing an independent organoid line. (B) Ribosome run-off rate determined in Apcfl/fl KrasG12D/+ small intestinal organoids mutant or wild-type for Rpl24 or with both Rpl24 and Eef2k mutations. Data are the mean of three biologically independent organoid lines represented ± SEM with significance determined by Mann–Whitney U test. Raw data are available in Figure 6—figure supplement 1A. The run-off rate for Apcfl/fl KrasG12D/+ control organoids is reproduced from Figure 3E. (C) Schematic representation of findings in Apc-deficient Kras-mutant mouse and organoid models. Top: RPL24 expression maintains translation and proliferation by suppressing the phosphorylation of eEF2 by limiting eEF2K activity. Middle: reduced expression of RPL24 activates eEF2K, increasing P-eEF2, reducing translation elongation and suppressing tumorigenesis and proliferation. Bottom: inactivation of eEF2K reverts the phenotype in Rpl24Bst cells, due to the inability to phosphorylate and suppress eEF2. Elevated elongation rates correlate with increased proliferation following inactivation of eEF2K.

This has important implications for the function of RPL24, showing that ribosomes in Rpl24Bst mutant cells can elongate efficiently despite the reduction in RPL24 expression. However, reduced RPL24 increases P-eEF2 which inhibits elongation, with an absolute requirement for eEF2K for this (Figure 6C). Importantly, the combination of the Rpl24 and eEF2K mutants shows that when P-eEF2 is abolished elongation occurs at normal speed, despite reduced expression of RPL24.

eEF2K activity is regulated by several upstream signalling pathways, as well as factors such as calcium ion and oxygen levels (Ballard et al., 2021). Given that the Rpl24Bst mutation increases phosphorylation of P-eEF2, we assessed what effect the mutation had on multiple kinases upstream of eEF2K in Apcfl/fl KrasG12D/+ and Apcfl/fl KrasG12D/+ Rpl24Bst/+ small intestinal tissue and organoids. mTORC1 suppresses eEF2K activity via p70 S6K. However, we saw no difference in the mTORC1-regulated phosphorylation of RPS6 (S240/4) and 4E-BP1 (T37/46) (Figure 2—figure supplement 1). Similarly, MAPK signalling also suppresses eEF2K, via the RSK pathway. There was no difference in signalling through this pathway in Rpl24 mutant mice, as assayed via P-ERK1/2 (T202/Y204) (Figure 6—figure supplement 2A). AMPK directly phosphorylates and activates eEF2K in response to changes in intracellular ATP:AMP ratio. Using phosphorylation of the canonical AMPK target acetyl-CoA carboxylase (P-ACC S79) as a read-out of AMPK activity, Rpl24 mutation had no effect on AMPK signalling (Figure 6—figure supplement 2B). Thus, we find no evidence for RPL24 expression levels affecting the activity of three kinases that in turn regulate eEF2K.

The expression of RPL24, EEF2K, and EEF2 is indicative of fast elongation in human CRC

Using pre-clinical mouse models, we have demonstrated that physiological RPL24 expression maintains low eEF2K-mediated phosphorylation of eEF2 (Figure 7A). Hypo-phosphorylated eEF2 then ensures rapid protein synthesis enabling tumour proliferation in vivo. We next sought to position this pre-clinical work in the context of clinical studies of the human disease. Using publicly available datasets for RNA expression in normal and cancerous colon tissues we observe increased RPL24 and EEF2 expression in conjunction with reduced EEF2K expression (Figure 7B). This mirrors the signalling pathways in our mouse models and ensures high expression of active eEF2. Elevated EEF2 message and reduced EEF2K message levels in these clinical samples are consistent with conservation of this signalling in the clinic. Similar results are seen for the protein expression of RPL24, eEF2K, and eEF2 from colon adenocarcinoma samples (Figure 7—figure supplement 1A), and for the three mRNAs in rectal adenocarcinoma (Figure 7—figure supplement 1B). These expression analyses highlight the conservation of the proliferative tumour-associated signalling pathways characterised in our pre-clinical mouse models and patient samples.

Figure 7 with 1 supplement see all
Download asset Open asset
Expression of RPL24, EEF2K, and EEF2 is consistent with increased eEF2 activity in colorectal cancer (CRC) tumours.

(A) Schematic of the findings presented here from pre-clinical mouse models. KRAS activation requires RPL24 expression to maintain low eEF2 phosphorylation. This occurs via a double negative regulation of eEF2K, whereby RPL24 suppresses eEF2K, which suppresses eEF2. eEF2 activity correlates with protein synthesis and proliferation rates. Dashed lines indicate indirect or undefined regulatory pathways. (B) RNA expression levels of RPL24, EEF2K, and EEF2 between normal colon and colon adenocarcinoma samples using data extracted from The Cancer Genome Atlas by TNMplot. Relative expression changes are annotated, as well as p values for each transcript.

Discussion

The original characterisation of the Rpl24Bst mutation identified a defect in ribosome biogenesis affecting the synthesis of 60S subunits (Oliver et al., 2004). The evidence to support this was limited to analyses of fasted/refed mouse livers for nascent rRNAs and by polysome profiles purporting to show reductions in 28S rRNA precursors and mature 60S subunits, respectively. In contrast, RNAi depletion of RPL24 in human cell lines had no effect on ribosome biogenesis, or on the relative abundance of 40S and 60S subunits (Barkić et al., 2009; Wilson-Edell et al., 2014). Furthermore, two reports have identified RPL24 as an exclusively cytoplasmic protein, leading to the hypothesis that it is assembled into mature ribosomes in the cytoplasm after rRNA synthesis and processing has already occurred (Barkić et al., 2009; Saveanu et al., 2003). In agreement with this, in the hindbrain of E9.5 embryos, the Rpl24Bst mutation had no effect on nucleolar architecture, indicating that it is not required for nucleolar function (Herrlinger et al., 2019). Our data agree with these later examples, as we fail to see any effect of the Rpl24Bst mutation on 60S:40S ratio in wild-type or transformed mouse intestines. Of further importance to the field, we also demonstrate in our tumour model that the translation defect in Rpl24Bst mutant mice is restored to normal levels following inactivation of eEF2K in Rpl24Bst mutant mice, showing that the defect is dependent on eEF2K. From this, we conclude that although the ribosomes produced in Rpl24Bst/+ mice do allow protein synthesis to proceed at near physiological levels, this process is restricted via signalling through eEF2K/P-eEF2.

RPL24 depletion suppresses tumorigenesis in Apc-deficient Kras-mutant (APC KRAS) mouse models of CRC, but not in Apc-deficient Kras wild-type (APC) models. In line with this, protein synthesis is reduced following depletion of RPL24 in our APC KRAS models, but not in APC models, despite induction of P-eEF2 in both cases. We previously showed that suppression of translation elongation via mTORC1/eEF2K/P-eEF2, using rapamycin, in the same APC models dramatically suppressed proliferation and extended survival (Faller et al., 2015). Thus, while RPL24 depletion or rapamycin treatment of Apc-deficient intestines each induce P-eEF2, only rapamycin treatment suppresses protein synthesis. The effect on protein synthesis appears to be the differential driving this divergence, with proliferation only impaired when protein synthesis is reduced. Crucially, RPL24 deficiency does not suppress mTORC1 activity since phosphorylation of the mTORC1 effectors 4E-BP1 and RPS6 (at S240/S244) is not reduced in Apc-deficient Rpl24Bst/+ intestines, providing an explanation of how proliferation and protein synthesis are maintained in Apc-deficient Rpl24Bst mutant animals. We also provide evidence that Rpl24 expression is lower than that of other ribosomal protein mRNAs following Kras mutation, which could explain why diminished RPL24 expression specifically suppresses proliferation in Kras-mutant models.

In view of the mechanisms we have described here, it is interesting to reflect on previous work with the Rpl24Bst mutant mouse. The Rpl24Bst mutation suppresses tumorigenesis in three mouse models of different types of blood cancer, and in a model of bladder cancer (Signer et al., 2014; Barna et al., 2008; Hsieh et al., 2010; Jana et al., 2021). In each case, the Rpl24Bst mutation was found to decrease translation, although how the translation was suppressed was not fully determined. Barna et al. demonstrated a reduction in cap-dependent translation using a luciferase reporter in Rpl24Bst MEFs (Barna et al., 2008). Furthermore, Rpl24Bst mutation dramatically suppressed translation following MYC activation, consistent with Rpl24Bst slowing tumorigenesis via reduced translation. We have shown that in mouse models of CRC the molecular mechanism by which normal levels of RPL24 maintain translation is via eEF2K and P-eEF2, therefore implicating this pathway in these previously studied blood cancer models.

The Rpl24Bst mutation has also been used to analyse brain development from neural progenitor cells and explored as a model for retinal degenerative disease (Riazifar et al., 2015; Herrlinger et al., 2019). These studies found a revertant phenotype in neural progenitor cells overexpressing LIN28A and a defect in subretinal angiogenesis in Rpl24Bst/+ mice. The role of translation elongation should now be analysed with respect to these phenotypes. eEF2K, and the many upstream pathways it integrates, are potential targets for intervention in these in vivo models. It will also be of interest to determine how the inactivation of eEF2K affects the whole-body phenotypes of the Rpl24Bst mouse, such as the coat pigmentation and tail defects.

eEF2K has a pleiotropic effect in tumorigenesis, acting akin to a tumour suppressor or promoter dependent on the context (Knight et al., 2020b). In some cancers, eEF2K promotes tumorigenesis. For example, under nutrient deprivation eEF2K acts as a pro-survival factor in transformed fibroblasts and tumour cell lines by suppressing protein synthesis to ensure survival (Leprivier et al., 2013). Here, we show that eEF2K inactivation does not modify intestinal tumorigenesis. However, eEF2K is required for the suppression of tumorigenesis and protein synthesis following mTORC1 inhibition in APC cells (Faller et al., 2015) or Rpl24Bst mutation in APC KRAS cells (this work). Therefore, although eEF2K does not directly drive tumorigenesis, low eEF2K activity ensures there is no blockade of translation or proliferation in tumour cells. Furthermore, eEF2K expression is required for drug or signalling responses that suppress tumorigenesis, giving it tumour suppressive activity. In accordance, CRC patients with low eEF2K protein expression suffer a significantly worse prognosis (Ng et al., 2019). Furthermore, we present mRNA and protein expression data showing that eEF2K is reduced in clinical CRC samples compared to normal tissue. This agrees with a model where low eEF2K allows rapid translation elongation to promote proliferation.

Using the same clinical datasets we demonstrate that both RPL24 and eEF2 are elevated in CRC, consistent with their roles in promoting translation and proliferation. This presents the possibility of directly targeting either RPL24 or eEF2 for anti-cancer benefit. In agreement with this, RNAi against RPL24 in human breast cancer cell lines dramatically reduced proliferation (Wilson-Edell et al., 2014). Similarly, inhibiting eEF2, using a compound reported to slow its exit from the ribosome and thus the rate of protein synthesis, reduces cell line and patient derived organoid growth (Stickel et al., 2015; Keysar et al., 2020). These reports agree with the data presented here suggesting that targeting of RPL24 or eEF2 would be beneficial in CRC. Identifying the mechanistic link between RPL24 and eEF2K is part of our ongoing work, but here we have ruled out mTORC1, MAPK, and AMPK signalling as contributing factors.

This work uncovers an unexpected role for the ribosomal protein RPL24 in the regulation of translation elongation, acting via eEF2K/P-eEF2. We demonstrate that depletion of RPL24 suppresses tumorigenesis in a pre-clinical mouse model of a CRC. We provide genetic evidence supported by molecular assays of translation elongation to demonstrate that RPL24 depletion activates eEF2K to elicit tumour suppression in our models. We also speculate as to the role of eEF2K in the previously published blood cancer models where RPL24 depletion was beneficial. This work provides additional evidence for the anti-tumorigenic role of eEF2K in CRC, highlighting the potential for targeting translation elongation for this disease.

Materials and methods

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Genetic reagent (Mus musculus)Tg(Vil1-cre/
ERT2)23Syr		el Marjou et al., 2004RRID:MGI:3053826
Genetic reagent (Mus musculus)Apctm1TnoShibata et al., 1997RRID:MGI:1857966
Genetic reagent (Mus musculus)Krastm4TyjJackson et al., 2001RRID:MGI:2429948
Genetic reagent (Mus musculus)Rpl24BstOliver et al., 2004RRID:MGI:1856685
Genetic reagent (Mus musculus)Eef2kD273AGildish et al., 2012
Genetic reagent (Mus musculus)ApcMinMoser et al., 1990RRID:MGI:1856318
Cell line (Mus musculus)VillinCreER Apcfl/fl
KrasG12D/+ small
intestinal organoids		This study
Cell line (Mus musculus)VillinCreER Apcfl/fl
small intestinal
organoids		This study
Cell line (Mus musculus)VillinCreER Apcfl/fl
KrasG12D/+
Rpl24Bst/+ small
intestinal organoids		This study
Cell line (Mus musculus)VillinCreER Apcfl/fl
Rpl24Bst/+ small
intestinal organoids		This study
AntibodyBrdU(mouse
monoclonal)		BD Biosciences
#347,580		RRID:AB_400326IHC: (1:250)
AntibodyP-eEF2 T56(rabbit
polyclonal)		Cell Signaling
Technology #2,331		RRID:AB_10015204WB: (1:2000)IHC: (1:100)
AntibodyeEF2(rabbit
polyclonal)		Cell Signaling
Technology #2,332		RRID:AB_10693546WB: (1:2000)
AntibodyP-4E-BP1(rabbit
monoclonal)		Cell Signaling
Technology #2,855		RRID:AB_560835IHC: (1:250)
AntibodyP-RPS6 S240/4(rabbit
monoclonal)		Cell Signaling
Technology #5,364		RRID:AB_10694233IHC: (1:100)
AntibodyP-eIF2α S51(rabbit
monoclonal)		Cell Signaling
Technology#3,398		RRID:AB_2096481IHC: (1:50)
AntibodyP-ERK T202/
Y204(rabbit
polyclonal)		Cell Signaling
Technology #9,101		RRID:AB_331646IHC: (1:400)
AntibodyLysozyme(rabbit polyclonal)Dako A0099RRID:AB_2341230IHC: (1:300)
AntibodyRPS6(mouse
monoclonal)		Cell Signaling
Technology #2,317		RRID:AB_2238583WB: (1:2000)
AntibodyRPL10(rabbit
polyclonal)		Novus
NBP1-84037		RRID:AB_11007661WB: (1:2000)
AntibodyRPL22(rabbit
polyclonal)		Abcam
ab111073		RRID:AB_10863642WB: (1:2000)
AntibodyAcetyl-CoA
carboxylase(rabbit monoclonal)		Cell Signaling
Technology #3,676		RRID:AB_2219397WB: (1:1000)
AntibodyP-acetyl-CoA
carboxylase
S79(rabbit
monoclonal)		Cell Signaling
Technology #3,661		RRID:AB_330337WB: (1:1000)
Antibodyβ-Actin(mouse
monoclonal)		Sigma-Aldrich
#A2228		RRID:AB_476697WB: (1:10,000)
Antibodyβ-Tubulin(mouse
monoclonal)		Cell Signaling
Technology #2,128		RRID:AB_823664WB: (1:4000)
AntibodyGoat Anti-Mouse Immunoglobulins/
HRP(goat polyclonal)		Dako #P0447RRID:AB_2617137WB: (1:2000)
AntibodyGoat Anti-Rabbit Immunoglobulins/
HRP(goat polyclonal)		Dako #P0448RRID:AB_2617138WB: (1:2000)
Sequence-
based reagent		Olfm4 RNAScopeACD #311,838RNAScope
Peptide,
recombinant
protein		Recombinant
Murine Noggin		Peprotech #250-38100 ng/ml
Peptide,
recombinant
protein		Animal-Free
Recombinant
Human EGF		Peprotech
#AF-100-15		50 ng/ml
Peptide,
recombinant
protein		Recombinant
Mouse R-Spondin
1 Protein		R&D Systems
#3474-RS		500 ng/ml
Commercial
assay or kit		Vectorstain Elite
ABC-HRP		Vector Laboratories PK-6102RRIDs:AB_2336820
Commercial
assay or kit		Vectorstain Elite
ABC-HRP		Vector Laboratories
PK-PK-6101		RRIDs:AB_2336821
Commercial
assay or kit		Cell Proliferation
Labelling Reagent		Amersham
Bioscience RPN201
Commercial
assay or kit		Cell-Titer BluePromega #G8080
Chemical
compound,
drug		RapamycinLC Laboratories
#R-5000
Chemical
compound,
drug		HarringtonineSanta Cruz
sc-204771
Chemical
compound,
drug		EasyTag EXPRESS
35S Protein
Labeling Mix		Perkin Elmer #NEG772002MC
software,
algorithm		Image JRueden et al., 2017RRID:SCR_003070
software,
algorithm		G*PowerFaul et al., 2009RRID:SCR_013726

Materials availability

Request a detailed protocol

The mouse strains used will be made available on request. However, this may require a Materials Transfer Agreement and/or a payment if there is potential for commercial application. We ourselves are limited by the terms of Materials Transfer Agreements agreed to by the suppliers of the mouse strains.

Mouse studies

Request a detailed protocol

Experiments with mice were performed under licence from the UK Home Office (licence numbers 60/4183 and 70/8646). All mice used were inbred C57BL/6J (Generation ≥8) and were housed in conventional cages with a 12 hr light/dark cycle and ad libitum access to diet and water. Mice were genotyped by Transnetyx in Cordova, Tennessee. Experiments were performed on mice between the ages of 6 and 12 weeks; both male and female mice were used. Sample sizes for all experiments were calculated using the G*Power software (Faul et al., 2009) and are shown in the figures or legends. Researchers were not blinded during experiments. The VillinCreER allele (el Marjou et al., 2004) was used for intestinal recombination by intraperitoneal (IP) injection of tamoxifen in corn oil at a final in vivo concentration of 80 mg/kg. The Apc flox allele, ApcMin, KrasG12D lox-STOP-lox allele, Eef2kD273A and Rpl24Bst alleles were previously described (Jackson et al., 2001; Shibata et al., 1997; Gildish et al., 2012; Oliver et al., 2004; Moser et al., 1990). Tumour model experiments began with a single dose of tamoxifen after which mice were monitored until they showed signs of intestinal disease – paling feet from anaemia, weight loss and hunching behaviour. Tumours were scored macroscopically by counting and recording diameter after fixation of intestinal tissue. Tumour volumes were calculated from the tumour diameters assuming a spherical tumour shape. For short-term experiments, mice wild-type for Kras were induced on consecutive days (days 0 and 1) and sampled 4days after the first induction (day 4). Mice bearing the KrasG12D allele were induced once and sampled on day 3 post-induction. Where indicated, 250 μl of BrdU cell proliferation labelling reagent (Amersham Bioscience RPN201) was given by IP injection 2 hr prior to sampling. BrdU-positive cells were scored from crypt base to villus tip (a half crypt/villus axis) from the proximal small intestine or medial colon and represented as the mean number of positive cells from at least 20 axes per mouse. For the regeneration experiments, mice were exposed to 10 Gy of γ-irradiation at a rate of 0.423 Gy/min from a caesium 137 source. They were then sampled 72 hr after irradiation and regenerative crypts scored from H&E stained sections as previously described (Faller et al., 2015). Batch correction was used by normalising each experiment to relevant wild-type controls.

Histology and IHC

Request a detailed protocol

Tissue was fixed in formalin and embedded in paraffin. IHC staining was carried out as previously (Faller et al., 2015), using the following antibodies: BrdU (BD Biosciences #347580), P-eEF2 T56 (Cell Signaling Technology [CST] #2331), P-4E-BP1 T37/46 (CST #2855), P-RPS6 S240/4 (CST #5364), P-eIF2α S51 (CST #3398), P-ERK T202/Y204 (CST #9101), RPL24 (Sigma-Aldrich HPA051653), and Lysozyme (Dako A0099). The IHC protocol followed the Vector ABC kit (mouse #PK-6102, rabbit #PK-6101). RNAScope analysis was conducted according to the manufacturer’s guidelines (ACD) using a probe to murine Olfm4 (#311838). For all staining, a minimum of three biological replicates were stained and representative images used throughout. For BrdU scoring in short-term model experiments tissue was fixed in methanol:chloroform:acetic acid at a ratio 4:2:1 then transferred to formalin and embedded in paraffin.

Intestinal organoid culture

Request a detailed protocol

Crypt cultures were isolated and then maintained as previously described (Knight et al., 2020a). In all crypt culture experiments, multiple biologically independent cultures were generated and analysed from different animals of the shown genotypes. DMEM/F12 medium (Life Technologies #12634-028) was supplemented with 5 mM HEPES (Life Technologies #15630-080), 100 U/ml penicillin/streptomycin (Life Technologies #1540-122), 2 mM L-glutamine (Life Technologies #25030-024), 1× N2, 1× B27 (Invitrogen #17502-048 and #12587-010), 100 ng/ml noggin (Peprotech #250-38), and 50 ng/ml EGF (Peprotech #AF-100-15). Wild-type cultures were also supplemented with 500 ng/ml R-spondin (R&D Systems #3474-RS). For ex vivo growth assays, cells were plated in technical triplicate in 96-well plates, and proliferation measured using Cell-Titer Blue (Promega #G8080) added to previously untreated cells each day for up to 4 days. Rapamycin (LC Laboratories R-5000) was dissolved in DMSO and administered for 24 hr, comparing to DMSO vehicle-treated cells.

Western blotting

Request a detailed protocol

Samples were lysed (10 mM Tris [pH 7.5], 50 mM NaCl, 0.5% NP40, 0.5% SDS supplemented with protease inhibitor cocktail [Roche #11836153001] PhosSTOP [Roche #04906837001] and benzonase [Sigma-Aldrich #E1014]) on ice and then the protein content estimated by BCA assay (Thermo Fisher Scientific #23225). 20 μg of protein were denatured in loading dye containing SDS then resolved by 4–12% sodium dodecyl sulphate–polyacrylamide gel electrophoresis (Invitrogen #NP0336BOX). For western blots from gradients, equivalent volumes were loaded from each gradient fraction. Protein was transferred to nitrocellulose membranes, blocked with excess protein and immunoblotted overnight at 4°C using the following antibodies; P-eEF2 T56 (CST #2331), eEF2 (CST #2332), RPL24 (Sigma-Aldrich HPA051653), RPS6 (CST #2317), RPL10 (Novus NBP1-84037), RPL22 (Abcam ab111073), ACC (CST #3676), P-ACC S79 (CST #3661), β-tubulin (CST #2128), and β-actin (Sigma-Aldrich #A2228) as a sample control. One-hour incubation at room temperature with secondary antibodies (horseradish peroxidase [HRP]-conjugated anti-mouse secondary [Dako #P0447]; HRP-conjugated anti-rabbit secondary [Dako #P0448]) was followed by exposure to autoradiography films or a ChemiDoc MP imager (BioRad) with ECL reagent (Thermo Fisher Scientific #32106). Quantification was performed using Image J (Rueden et al., 2017).

Sucrose density gradients

Request a detailed protocol

Cells were replenished with fresh medium for the 6 hr before harvesting. This medium was then spiked with 200 µg/ml cycloheximide (Sigma-Aldrich #C7695) 3 min prior to harvesting on ice. Crypt fractions from mice were isolated by extraction of the epithelium from 10 cm of proximal small intestine. Each data point plotted represents an individual animal. PBS-flushed linearly opened small intestines were incubated in RPMI 1640 medium (Thermo Fisher Scientific #21875059) supplemented with 10 mM EDTA and 200 µg/ml cycloheximide for 7 min at 37°C with regular agitation to extract villi. Crypts were isolated by transferring remaining tissue to ice-cold PBS containing 10 mM EDTA and 200 µg/ml cycloheximide for a further 7 min, again with agitation. The remaining tissue was discarded. Samples were lysed (300 mM NaCl, 15 mM MgCl2, 15 mM Tris pH 7.5, 100 µg/ml cycloheximide, 0.1% Triton X-100, 2 mM DTT, and 5 U/ml SUPERase.In RNase Inhibitor (Thermo Fisher Scientific #AM2696)) on ice and post-nuclear extracts placed on top of 10–50% wt/vol sucrose gradients containing the same buffer (apart from no Triton X-100, DTT, or SUPERase.In). These were then spun in an SW40Ti rotor at 255,000 rcf for 2 hr at 4°C under a vacuum. Samples were then separated through a live 254 nM optical density reader (ISCO). Polysome to subpolysome (P:S), heavy to light polysome (H:L), or 60S to 40S (60S:40S) ratios were calculated using the manually defined trapezoid method. For harringtonine run-off assays, cultures were prepared in duplicate for each genotype. One was pre-treated with 2 µg/ml harringtonine (Santa Cruz sc-204771) for 5 min (300 s) prior to cycloheximide addition. This was then processed as above. Run-off rates were calculated as previously described (Knight et al., 2015). Trichloroacetic acid protein precipitation from sucrose density gradients was performed as before (Knight et al., 2013).

35S-methionine incorporation assay

Request a detailed protocol

Organoids were replenished with medium 6 hr prior to analysis while in the optimal growth phase post-splitting. Technical triplicates were used from organoids from three different animals per experiments. 35S-methionine (Perkin Elmer #NEG772002MC) was used at 30 µCi/ml for 30 min. Samples were lysed using the same buffer described for Western blotting. Protein was precipitated in 12.5% (wt/vol) trichloroacetic acid onto glass microfiber paper (Whatmann #1827-024) by use of a vacuum manifold. Precipitates were washed with 70% ethanol and acetone. Scintillation was read on a Wallac MicroBeta TriLux 1450 scintillation counter using Ecoscint scintillation fluid (SLS Ltd #LS271) from these microfiber papers. In parallel the total protein content was determined by BCA assay using unprecipitated sample. Protein synthesis rate was expressed as the scintillation normalised to the total protein content (CPM/µg/ml protein), which was then changed to a relative value compared to relevant controls for each experiment.

RNA sequencing

Request a detailed protocol

This was performed as previously described (Knight et al., 2020a), using three animals per genotype. The reads for each ribosomal protein mRNA were then averaged and the fold change compared to wild-type tissue calculated and plotted. Source data for this analysis are available linked to Figure 4F.

Publicly available clinical data analysis

Request a detailed protocol

The TNMplot and UALCAN web portals were used to analysis publicly available dataset from The Cancer Genome Atlas and Clinical Proteomic Tumor Analysis Consortium. Details of these portals are available in these publications (Bartha and Győrffy, 2021; Chandrashekar et al., 2017).

Statistical analyses

Request a detailed protocol

All statistical analyses are detailed in the relevant figure legends. In all cases, calculated p values less than or equal to 0.05 were considered significant. N numbers for each experiment are detailed within each figure, as individual points on graphs or within figure legends.

Data availability

Source data for Figure 1F, Figure 3 - figure supplement 1, Figure 3 - figure supplement 2, Figure 4F and Figure 6 - figure supplement 2 have been uploaded.

References

Decision letter

  1. Margaret C Frame
    Reviewing Editor; University of Edinburgh, United Kingdom
  2. David Ron
    Senior Editor; University of Cambridge, United Kingdom
  3. Vivian SW Li
    Reviewer; National Institute for Medical Research, United Kingdom

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 "Rpl24Bst mutation suppresses colorectal cancer by promoting eEF2 phosphorylation via eEF2K" for consideration by eLife. Your article has been reviewed by 2 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and David Ron as the Senior Editor. The following individual involved in review of your submission has agreed to reveal their identity: Vivian Li (Reviewer #1).

The Reviewing Editor has drafted this to help you prepare a revised submission.

The manuscript is well written with a strength being the design of experiments that combines genetically modified mouse models, organoid culture, biochemical assays, and transcriptomic analysis to address the role of RPL24 in CRC. The approach is thorough and comprehensive, and there is sufficient evidence provided to support the main conclusions. The only limitations of the work that the authors may wish to address are:

i) It remains unclear why and how the tumour suppressive role of Rpl24Bst is specific to KRAS G12D mutation only, considering that increased eEF2 phosphorylation is also observed in the KRAS wildtype model, and

ii) The mechanism by which RPL24-bst induces eEF2-phosphorylation. How direct is this and does it involve ribosome heterogeneity and/or translational stress?

Importantly this work enhances the concept of targeting translational control in tumours.

Essential revisions:

1. The authors provide convincing data showing that Rpl24Bst inhibits CRC proliferation and tumour growth by suppressing protein translation elongation via Eef2k-dependent eEF2 phosphorylation. They further show that the tumour suppressive role of Rpl24Bst is specific to Kras G12D mutation but not in Kras wildtype Apc-deficient animals. The Kras mutant specificity of Rpl24Bst model is very interesting, yet the underlying mechanism is largely unclear. Although we appreciate that the underlying full mechanism might be the scope of another story, it would be helpful if the authors were to elaborate on this point, taking into account the following considerations: In p.260-262, the authors suggest that Rpl24 expression might be sufficient for Apc-deleted models but not Kras mutation due to the limited upregulation of Rpl24 in Figure 4F. However, upregulation of eEF2 phosphorylation in the Apc-deleted models (Figure 4B) is apparently equivalent to the Kras mutant model (Figure S2A). Importantly, the authors show that abrogation of eEF2 phosphorylation via Eef2k inhibition has no effect on tumour growth in Apc-deleted only model (Figure S5B). Alternative explanation of Kras mutation specificity could be that eEF2 phosphorylation (and reduced translation elongation) is only required in Kras mutant tumours but not in Apc-deficient tumours. It will strengthen the hypothesis if the authors can evaluate whether translation elongation is affected in the Eef2k mutant and Apc-deficient tumours to see if translation elongation via Eef2k-p-eEF2-axis is important for Apc mutation.

2. The BrdU cell counting throughout the manuscript is normalised "per half crypt". BrdU positive staining often goes beyond the crypts towards villi in Apc mutant and Apc/Kras mutant models. It is unclear how half crypt is defined in hyperproliferative crypts (such as Figure 2C) between genotypes.

3. In Figure 4B, the BrdU staining is clearly reduced in Apcfl/flRpl24Bst/+ compared to Apcfl/fl intestine, yet quantitation shows no difference. Again, this may depend on how "BrdU+ cells per half crypt" is defined in different genotypes when there is massive crypt expansion in one but not the other.

4. In figure S1F, the authors show that mutated Rpl24 restricts irradiation-induced regeneration by quantifying regenerative crypts. How did the authors define "regenerative crypt" without staining? Also, how was the data normalised with all wildtype controls set at = 1?

5. The authors show that tumour numbers are not affected in Figure S2D and S5E. What about tumour size?

6. There are multiple figure citation errors in the manuscripts, particularly in result session including line 148-9/figure 1D, lines 243,244/figure4D, line 274/figureS2A, line 277/figure4D, line 279/figure4E and line 287/figureS4E. Please proofread.

7. The authors claim that there are 75% increase in P-eEF2 and 50% reduction in RPL24 expression in Figure 1F. Where's the quantitation?

8. Please provide p-value for Figure 4B (H-score of Rpl24 and p-eEF2) and Figure S6B.

9. Questions remain around the mechanism of action of RPL24-bst. Does RPL24-bst really not alter ribosome abundance? How are the polysome profiles normalised? Are cell equivalents loaded? Could the ratio of different poly fractions be maintained +/- RPL24-bst but total number of ribosomes be reduced?

10. What is the protein expression level of other RPLs when RPL24bst is expressed? This information for a few RPLs would either support the concept that ribosome number is maintained or would reveal a co-ordinated reduction in large ribosome subunit proteins.

11. Does reduced RPL24 expression lead to ribosome heterogeneity? If ribosome number is unaltered, but one subunit, RPL24, is reduced, presumably there is ribosome heterogeneity? Would this lead to translational stress?

12. What is the mechanistic link between RPL24 and eEF2? Any hints at how eEF2 phosphorylation is influenced by RPL24? How direct is the mechanism? Is translational stress involved?

https://doi.org/10.7554/eLife.69729.sa1

Author response

Essential revisions:

1. The authors provide convincing data showing that Rpl24Bst inhibits CRC proliferation and tumour growth by suppressing protein translation elongation via Eef2k-dependent eEF2 phosphorylation. They further show that the tumour suppressive role of Rpl24Bst is specific to Kras G12D mutation but not in Kras wildtype Apc-deficient animals. The Kras mutant specificity of Rpl24Bst model is very interesting, yet the underlying mechanism is largely unclear. Although we appreciate that the underlying full mechanism might be the scope of another story, it would be helpful if the authors were to elaborate on this point, taking into account the following considerations: In p.260-262, the authors suggest that Rpl24 expression might be sufficient for Apc-deleted models but not Kras mutation due to the limited upregulation of Rpl24 in Figure 4F. However, upregulation of eEF2 phosphorylation in the Apc-deleted models (Figure 4B) is apparently equivalent to the Kras mutant model (Figure S2A). Importantly, the authors show that abrogation of eEF2 phosphorylation via Eef2k inhibition has no effect on tumour growth in Apc-deleted only model (Figure S5B). Alternative explanation of Kras mutation specificity could be that eEF2 phosphorylation (and reduced translation elongation) is only required in Kras mutant tumours but not in Apc-deficient tumours. It will strengthen the hypothesis if the authors can evaluate whether translation elongation is affected in the Eef2k mutant and Apc-deficient tumours to see if translation elongation via Eef2k-p-eEF2-axis is important for Apc mutation.

We previously published on the importance of translation elongation in Apc-deficient mouse models of colorectal cancer, finding that rapamycin suppresses tumorigenesis in a mechanism entirely dependent upon eEF2K expression and signalling to P-eEF2 (Faller et al., Nature, 2015. PMID: 25383520). This is discussed in the introduction (lines 51-58), and again as we introduce the Apc-deficient models in the Results section (lines 257-260). Therefore, we can rule out the possibility that Apc-deficient models are less sensitive to suppression of elongation as an explanation for the lack of effect with the Rpl24 mutant presented here, when compared to the Apc-deficient Kras-mutant models. As suggested by the reviewers we have quantified proliferation in Apcfl/fl, Apcfl/fl Rpl24Bst/+, Apcfl/fl Eef2kD273A/D273A and Apcfl/fl Rpl24Bst/+ Eef2kD273A/D273A intestines, to test the effect of Eef2K deletion in this Kras wild-type model (Figure 5 —figure supplement 1D). We see no difference in proliferation in either the small intestine or colons of these genotypes, consistent with neither the Rpl24Bst/+ or Eef2kD273A/D273A alleles having any effect on proliferation or tumorigenesis in this setting.

We sought to supplement the data on ribosomal protein expression across the different tumour models by quantifying protein levels by Western blot. This was carried out for RPL24, RPL22 and RPS6 expression in lysates from wild-type, Apcfl/fl and Apcfl/fl KrasG12D/+ organoids, shown in Author response image 1. This revealed a truncated form of RPL24 that was the dominant isoform in the Apcfl/fl organoids, while the full-length version was dominant in wild-type and Apcfl/fl KrasG12D/+ organoids. Investigating this truncation is part of our ongoing work, and we anticipate this will be linked to the differential effect on tumorigenesis in the Kras wild-type and mutant models. Truncated RPL24 has not been previously published but was the subject of a talk at the EMBL Protein Synthesis and Translation Control conference in September 2021. We feel that our data are too preliminary to include in this manuscript but are happy to present it here. The blots also show that RPL24 protein expression is not greatly increased in the Apcfl/fl KrasG12D/+ organoids compared to Apcfl/fl organoids, in line with the RNAseq data in Figure 4F. In contrast, RPL22 and RPS6 show increased expression in the Kras mutant organoids. This is consistent with the model proposed that RPL24 levels become limiting in the Apcfl/(fl/+) KrasG12D/+ models, due to a relatively modest increase in expression in Kras mutant cells compared to the other ribosomal proteins.

Author response image 1
Download asset Open asset
A truncated form of RPL24 is expressed in Apcfl/fl but not Apcfl/fl KrasG12D/+ organoids.

The significance of this in regulating tumorigenesis is currently under investigation. Fold changes in RP abundance from Apcfl/fl to Apcfl/fl KrasG12D/+ are shown relative to β-actin. For RPL24 expression both isoforms were quantified together. Two exposures are shown for RPL24, short on top and longer below.

2. The BrdU cell counting throughout the manuscript is normalised "per half crypt". BrdU positive staining often goes beyond the crypts towards villi in Apc mutant and Apc/Kras mutant models. It is unclear how half crypt is defined in hyperproliferative crypts (such as Figure 2C) between genotypes.

The reviewer is correct that this designation could be misinterpreted. BrdU positivity was quantified for entire crypt/villus axes in all cases, negating the effects of hyperproliferation. Therefore, labelling has been corrected to read ‘per half crypt/villus’ throughout the figures, legends, and manuscript. A sentence has also been added to the Materials and methods, Mouse studies section clarifying the scoring method used, indicating that proliferation was scored from crypt base to villus tip.

3. In Figure 4B, the BrdU staining is clearly reduced in Apcfl/flRpl24Bst/+ compared to Apcfl/fl intestine, yet quantitation shows no difference. Again, this may depend on how "BrdU+ cells per half crypt" is defined in different genotypes when there is massive crypt expansion in one but not the other.

The images shown in the original submission were difficult to interpret due to low intensity of the BrdU stain, specifically in the Apcfl/fl intestine image. This has been replaced with a better image from which it can be seen that the extent of crypt/villus proliferation is similar to the Apcfl/fl Rpl24Bst/+ example. It is important to remember that staining of the intravillus stroma, which is outside the intestinal epithelium and thus not scored, can alter the appearance of the BrdU positive zone in these images.

4. In figure S1F, the authors show that mutated Rpl24 restricts irradiation-induced regeneration by quantifying regenerative crypts. How did the authors define "regenerative crypt" without staining? Also, how was the data normalised with all wildtype controls set at = 1?

Regenerating crypts were scored from the H and E stained slides as previously described (Faller et al., Nature, 2015. PMID: 25383520). Author response image 2 shows an example of regenerating crypts on an H and E slide at high magnification. The images in Figure 1 —figure supplement 2C have also been enlarged to help the reader interpret the regenerating crypts. With regards to the normalisation of the data, this is due to differences between the four batches of experiments that were performed. In each case Rpl24Bst mutation suppressed regeneration but the baseline regeneration of the controls was varied. Thus, the number of regenerating crypts per circumference was normalised to the control mice for each batch. Author response image 2 shows the data before normalisation. Two sentences have been added to the Materials and methods clarifying this scoring technique.

Author response image 2
Download asset Open asset
Left, example HandE staining of regenerative small intestine, showing two regenerating crypts with red arrows.

Right, regeneration data before batch normalisation. Colour coded circles show each of 4 batches in yellow (1v1), pink (1v1), blue (2v1) and red (1v1).

5. The authors show that tumour numbers are not affected in Figure S2D and S5E. What about tumour size?

Tumour volumes have been added adjacent to both figures. These follow the same trend as the tumour size, showing no differences within each tumour model. Text has been added to the Results section to reference these graphs and a sentence added to the methods describing the calculation of tumour volumes from recorded diameters.

6. There are multiple figure citation errors in the manuscripts, particularly in result session including line 148-9/figure 1D, lines 243,244/figure4D, line 274/figureS2A, line 277/figure4D, line 279/figure4E and line 287/figureS4E. Please proofread.

We apologise for this and have now proofread and corrected these citation errors.

7. The authors claim that there are 75% increase in P-eEF2 and 50% reduction in RPL24 expression in Figure 1F. Where's the quantitation?

This quantification has now been added to the Western blot in Figure 1F in the form of raw values for each lane and a summary figure next to the values. The figure legend has also been altered to describe the additional data.

8. Please provide p-value for Figure 4B (H-score of Rpl24 and p-eEF2) and Figure S6B.

P values have been added for Figure 4B – 0.05 for RPL24 and, after a larger batch of staining was performed, 0.048 for P-eEF2. P values have been added to Figure 6B, showing a significant increase in heavy polysome from Apcfl/fl KrasG12D/+ to Apcfl/fl KrasG12D/+ Rpl24Bst/+ intestines but not from Apcfl/fl KrasG12D/+ Rpl24Bst/+to Apcfl/fl KrasG12D/+ Rpl24Bst/+ Eef2kD273A/D273A intestines. This lack of significance has been clarified in the main text.

9. Questions remain around the mechanism of action of RPL24-bst. Does RPL24-bst really not alter ribosome abundance? How are the polysome profiles normalised? Are cell equivalents loaded? Could the ratio of different poly fractions be maintained +/- RPL24-bst but total number of ribosomes be reduced?

The polysome profiles are normalised internally, with differing amounts of input material loaded. This is due to the need for rapid sample handling to retain polysome integrity. In our experience, slow sample processing, such as counting cells or weighing tissue, leads to either RNA degradation or ribosome run-off. As such, we use the fact that all the ribosomes will be represented in each trace, as either sub-polysomes or polysomes, and then present data as ratios normalised within each gradient. These ratios are then compared between genotypes. i.e., the 60S:40S ratio and sub-polysome:polysome ratios are calculated with the data from each gradient replicate and will be unchanged by the overall quantity of material analysed. It is therefore true that we cannot use the gradient traces to exclude the possibility that different genotypes have different overall quantities of ribosomes. However, we provide evidence supporting broadly similar levels of ribosomes below.

10. What is the protein expression level of other RPLs when RPL24bst is expressed? This information for a few RPLs would either support the concept that ribosome number is maintained or would reveal a co-ordinated reduction in large ribosome subunit proteins.

We have quantified ribosomal protein abundances for RPL24, RPL10, RPL22 and RPS6 in Apcfl/fl KrasG12D/+ and Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids, where equivalent total protein was loaded, and quantification normalised to β-actin protein expression. Here we saw increased expression of RPL10, reduced RPL22 and unchanged levels of RPS6 in the Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids compared to Apcfl/fl KrasG12D/+ controls (Figure 3 —figure supplement 1E). This supports the conclusion that ribosome subunit abundance is not suppressed by mutation of Rpl24, and there is actually increased expression of RPL10. In the text we avoid making this statement regarding ribosome abundances. Instead, we refer to relative levels of the ribosomal subunits as a readout for ribosome biogenesis defects, as was previously reported for the Rpl24 mutant mouse (Oliver et al., Development, 2004. PMID: 15289434).

11. Does reduced RPL24 expression lead to ribosome heterogeneity? If ribosome number is unaltered, but one subunit, RPL24, is reduced, presumably there is ribosome heterogeneity? Would this lead to translational stress?

To address the ribosome heterogeneity question and whether RPL24 may be absent from some ribosomes we analysed the abundance of RPL24 protein within sucrose density gradients – shown as Figure 3 —figure supplement 2. This shows that in Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids, RPL24 protein was incorporated into 60S subunits, 80S ribosomes and polysomes. The distribution of RPL24 appears slightly altered towards polysomes, although this is not significant, with less RPL24 in the 60S subunit fraction. Data are presented as a percentage distribution of the total amount of each protein studied. It is therefore important to interpret this while considering the lower expression of RPL24 in the Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids, meaning that a modest reduction could actually be much greater. In contrast to the changes in RPL24 distribution, RPL10 expression is consistent between the two genotypes. We discuss these additional data in the text and how it may relate to ribosome heterogeneity. We respond to the question regarding translational stress below.

12. What is the mechanistic link between RPL24 and eEF2? Any hints at how eEF2 phosphorylation is influenced by RPL24? How direct is the mechanism? Is translational stress involved?

Elucidating this mechanism is part of ongoing work which we believe falls beyond the scope of this study. However, we do provide data focused on the phosphorylation dependent regulation of eEF2K in Apcfl/fl KrasG12D/+ and Apcfl/fl KrasG12D/+ Rpl24Bst/+ organoids and tissue. eEF2K activity is regulated by mTORC1 and MEK signalling (inhibitory phosphorylation events) and AMPK (activation). We assayed the activity of these signalling pathways by measuring the phosphorylation of their canonical substrates, finding no differences between the two genotypes. This is shown in Figures 2 —figure supplement 2A (mTORC1) Figure 6 —figure supplement 2A (MEK) and Figure 6 —figure supplement 2B (AMPK). We discuss this data at length in the Results section and indicate that our ongoing work is searching for the mechanistic link.

The question regarding translation stress is an important one, and we have addressed by looking at the phosphorylation status of eIF2α across the models analysed in the manuscript. We saw that the Rpl24Bst mutation had no effect on P-eIF2α in otherwise wild-type mice (Figure 1 —figure supplement 1A-B), the Apcfl/fl KrasG12D/+model (Figure 2 —figure supplement 1A) or in the Apcfl/fl model (Figure 4 —figure supplement 2C). From this we conclude that translation stress signalling via eIF2α is not altered by mutation of Rpl24. In turn, this highlights the specificity in the regulation of eEF2K as a means to suppress protein synthesis in these mutant mice. These results are presented and discussed throughout the Results section, with the point regarding specificity of eEF2K regulation also mentioned.

https://doi.org/10.7554/eLife.69729.sa2

Article and author information

Author details

  1. John RP Knight

    CRUK Beatson Institute, Garscube Estate, Glasgow, United Kingdom
    Contribution
    Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Writing - original draft, Writing - review and editing
    For correspondence
    j.knight@beatson.gla.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8771-5484

  2. Nikola Vlahov

    CRUK Beatson Institute, Garscube Estate, Glasgow, United Kingdom
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  3. David M Gay

    1. CRUK Beatson Institute, Garscube Estate, Glasgow, United Kingdom
    2. Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
    Present address
    Biotech Research and Innovation Centre, Københavns Universitet, Københavns, Denmark
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  4. Rachel A Ridgway

    CRUK Beatson Institute, Garscube Estate, Glasgow, United Kingdom
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  5. William James Faller

    CRUK Beatson Institute, Garscube Estate, Glasgow, United Kingdom
    Present address
    NKI, Plesmanlaan, Amsterdam, Netherlands
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  6. Christopher Proud

    1. Department of Biological Sciences, University of Adelaide, Adelaide, Australia
    2. Lifelong Health, South Australian Health and Medical Research Institute, Adelaide, Australia
    Contribution
    Resources
    Competing interests
    No competing interests declared

  7. Giovanna R Mallucci

    UK Dementia Research Institute at the University of Cambridge and Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Conceptualization, Funding acquisition
    Competing interests
    No competing interests declared

  8. Tobias von der Haar

    School of Biosciences, Division of Natural Sciences, University of Kent, Kent, United Kingdom
    Contribution
    Conceptualization, Funding acquisition
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6031-9254

  9. Christopher Mark Smales

    School of Biosciences, Division of Natural Sciences, University of Kent, Kent, United Kingdom
    Contribution
    Conceptualization, Funding acquisition
    Competing interests
    No competing interests declared

  10. Anne E Willis

    MRC Toxicology Unit, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Conceptualization, Funding acquisition, Writing - original draft, Writing - review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1470-8531

  11. Owen J Sansom

    1. CRUK Beatson Institute, Garscube Estate, Glasgow, United Kingdom
    2. Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
    Contribution
    Conceptualization, Funding acquisition, Project administration, Supervision, Writing - original draft, Writing - review and editing
    For correspondence
    o.sansom@beatson.gla.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9540-3010

Funding

Cancer Research UK (A17196)

  • Owen J Sansom

Cancer Research UK (A24388)

  • Owen J Sansom

Cancer Research UK (A21139)

  • Owen J Sansom

H2020 European Research Council (311301)

  • Owen J Sansom

Wellcome Trust (201487)

  • Giovanna R Mallucci
  • Tobias von der Haar
  • Christopher Mark Smales
  • Anne E Willis
  • Owen J Sansom

National Health and Medical Research Council

  • Christopher Proud

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

Acknowledgements

The Sansom laboratory was funded by CRUK (A17196, A24388, and A21139), The European Research Council ColonCan (311301). This work was also funded by a Wellcome Trust Collaborative Award in Science (201487) to GM, CMS, TvdH, AEW, and OS. We are grateful to the Advanced Technologies and Core Services at the Beatson Institute (funded by CRUK C596/A17196 and A31287), particularly the Biological Services Unit, Histology Services and Transgenic Technology Laboratory. CGP is supported by funding from the National Health and Medical Research Council (Australia). We thank Daniel Murphy for kindly supplying antibodies for ACC and P-ACC. We thank Fiona Warrander for critical reading of the manuscript.

Ethics

Experiments with mice were performed under a licence from the UK Home Office (licence numbers 60/4183 and 70/8646).

Senior Editor

  1. David Ron, University of Cambridge, United Kingdom

Reviewing Editor

  1. Margaret C Frame, University of Edinburgh, United Kingdom

Reviewer

  1. Vivian SW Li, National Institute for Medical Research, United Kingdom

Version history

  1. Received: April 24, 2021
  2. Preprint posted: May 5, 2021 (view preprint)
  3. Accepted: November 26, 2021
  4. Version of Record published: December 13, 2021 (version 1)
  5. Version of Record updated: December 14, 2021 (version 2)

Copyright

© 2021, Knight 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.

Metrics

  • 1,073
    Page views
  • 149
    Downloads
  • 9
    Citations

Article citation count generated by polling the highest count across the following sources: PubMed Central, Crossref, Scopus.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. John RP Knight
  2. Nikola Vlahov
  3. David M Gay
  4. Rachel A Ridgway
  5. William James Faller
  6. Christopher Proud
  7. Giovanna R Mallucci
  8. Tobias von der Haar
  9. Christopher Mark Smales
  10. Anne E Willis
  11. Owen J Sansom
(2021)
Rpl24Bst mutation suppresses colorectal cancer by promoting eEF2 phosphorylation via eEF2K
eLife 10:e69729.
https://doi.org/10.7554/eLife.69729

Categories and tags

Research organism

Further reading

    1. Cancer Biology
    2. Computational and Systems Biology

    Pancreatic cancer symptom trajectories from Danish registry data and free text in electronic health records

    Jessica Xin Hjaltelin, Sif Ingibergsdóttir Novitski ... Søren Brunak
    Research Article

    Pancreatic cancer is one of the deadliest cancer types with poor treatment options. Better detection of early symptoms and relevant disease correlations could improve pancreatic cancer prognosis. In this retrospective study, we used symptom and disease codes (ICD-10) from the Danish National Patient Registry (NPR) encompassing 6.9 million patients from 1994 to 2018,, of whom 23,592 were diagnosed with pancreatic cancer. The Danish cancer registry included 18,523 of these patients. To complement and compare the registry diagnosis codes with deeper clinical data, we used a text mining approach to extract symptoms from free text clinical notes in electronic health records (3078 pancreatic cancer patients and 30,780 controls). We used both data sources to generate and compare symptom disease trajectories to uncover temporal patterns of symptoms prior to pancreatic cancer diagnosis for the same patients. We show that the text mining of the clinical notes was able to complement the registry-based symptoms by capturing more symptoms prior to pancreatic cancer diagnosis. For example, ‘Blood pressure reading without diagnosis’, ‘Abnormalities of heartbeat’, and ‘Intestinal obstruction’ were not found for the registry-based analysis. Chaining symptoms together in trajectories identified two groups of patients with lower median survival (<90 days) following the trajectories ‘Cough→Jaundice→Intestinal obstruction’ and ‘Pain→Jaundice→Abnormal results of function studies’. These results provide a comprehensive comparison of the two types of pancreatic cancer symptom trajectories, which in combination can leverage the full potential of the health data and ultimately provide a fuller picture for detection of early risk factors for pancreatic cancer.

    1. Cancer Biology

    Disseminating cells in human oral tumours possess an EMT cancer stem cell marker profile that is predictive of metastasis in image-based machine learning

    Gehad Youssef, Luke Gammon ... Adrian Biddle
    Research Article

    Cancer stem cells (CSCs) undergo epithelial-mesenchymal transition (EMT) to drive metastatic dissemination in experimental cancer models. However, tumour cells undergoing EMT have not been observed disseminating into the tissue surrounding human tumour specimens, leaving the relevance to human cancer uncertain. We have previously identified both EpCAM and CD24 as CSC markers that, alongside the mesenchymal marker Vimentin, identify EMT CSCs in human oral cancer cell lines. This afforded the opportunity to investigate whether the combination of these three markers can identify disseminating EMT CSCs in actual human tumours. Examining disseminating tumour cells in over 12,000 imaging fields from 74 human oral tumours, we see a significant enrichment of EpCAM, CD24 and Vimentin co-stained cells disseminating beyond the tumour body in metastatic specimens. Through training an artificial neural network, these predict metastasis with high accuracy (cross-validated accuracy of 87-89%). In this study, we have observed single disseminating EMT CSCs in human oral cancer specimens, and these are highly predictive of metastatic disease.

    1. Cancer Biology
    2. Medicine

    Tissue-derived exosome proteomics identifies promising diagnostic biomarkers for esophageal cancer

    Dingyu Rao, Hua Lu ... Defa Huang
    Research Article

    Esophageal cancer (EC) is a fatal digestive disease with a poor prognosis and frequent lymphatic metastases. Nevertheless, reliable biomarkers for EC diagnosis are currently unavailable. Accordingly, we have performed a comparative proteomics analysis on cancer and paracancer tissue-derived exosomes from eight pairs of EC patients using label-free quantification proteomics profiling and have analyzed the differentially expressed proteins through bioinformatics. Furthermore, nano-flow cytometry (NanoFCM) was used to validate the candidate proteins from plasma-derived exosomes in 122 EC patients. Of the 803 differentially expressed proteins discovered in cancer and paracancer tissue-derived exosomes, 686 were up-regulated and 117 were down-regulated. Intercellular adhesion molecule-1 (CD54) was identified as an up-regulated candidate for further investigation, and its high expression in cancer tissues of EC patients was validated using immunohistochemistry, real-time quantitative PCR (RT-qPCR), and western blot analyses. In addition, plasma-derived exosome NanoFCM data from 122 EC patients concurred with our proteomic analysis. The receiver operating characteristic (ROC) analysis demonstrated that the AUC, sensitivity, and specificity values for CD54 were 0.702, 66.13%, and 71.31%, respectively, for EC diagnosis. Small interference (si)RNA was employed to silence the CD54 gene in EC cells. A series of assays, including cell counting kit-8, adhesion, wound healing, and Matrigel invasion, were performed to investigate EC viability, adhesive, migratory, and invasive abilities, respectively. The results showed that CD54 promoted EC proliferation, migration, and invasion. Collectively, tissue-derived exosomal proteomics strongly demonstrates that CD54 is a promising biomarker for EC diagnosis and a key molecule for EC development.