1. Chromosomes and Gene Expression

NuRD and CAF-1-mediated silencing of the D4Z4 array is modulated by DUX4-induced MBD3L proteins

  1. Amy E Campbell  Is a corresponding author
  2. Sean C Shadle
  3. Sujatha Jagannathan
  4. Jong-Won Lim
  5. Rebecca Resnick
  6. Rabi Tawil
  7. Silvère M van der Maarel
  8. Stephen J Tapscott  Is a corresponding author
  1. Fred Hutchinson Cancer Research Center, United States
  2. University of Washington, United States
  3. University of Rochester Medical Center, United States
  4. Leiden University Medical Center, Netherlands
https://doi.org/10.7554/eLife.31023
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Cite this article
  1. Amy E Campbell
  2. Sean C Shadle
  3. Sujatha Jagannathan
  4. Jong-Won Lim
  5. Rebecca Resnick
  6. Rabi Tawil
  7. Silvère M van der Maarel
  8. Stephen J Tapscott
(2018)
NuRD and CAF-1-mediated silencing of the D4Z4 array is modulated by DUX4-induced MBD3L proteins
eLife 7:e31023.
https://doi.org/10.7554/eLife.31023
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Abstract

The DUX4 transcription factor is encoded by a retrogene embedded in each unit of the D4Z4 macrosatellite repeat. DUX4 is normally expressed in the cleavage-stage embryo, whereas chromatin repression prevents DUX4 expression in most somatic tissues. Failure of this repression causes facioscapulohumeral muscular dystrophy (FSHD) due to mis-expression of DUX4 in skeletal muscle. In this study, we used CRISPR/Cas9 engineered chromatin immunoprecipitation (enChIP) locus-specific proteomics to characterize D4Z4-associated proteins. These and other approaches identified the Nucleosome Remodeling Deacetylase (NuRD) and Chromatin Assembly Factor 1 (CAF-1) complexes as necessary for DUX4 repression in human skeletal muscle cells and induced pluripotent stem (iPS) cells. Furthermore, DUX4-induced expression of MBD3L proteins partly relieved this repression in FSHD muscle cells. Together, these findings identify NuRD and CAF-1 as mediators of DUX4 chromatin repression and suggest a mechanism for the amplification of DUX4 expression in FSHD muscle cells.

https://doi.org/10.7554/eLife.31023.001

eLife digest

The DNA sequences of humans and other mammals contain many repetitive regions. This repetition makes these regions difficult to study with conventional approaches, and so the exact role of repetitive DNA is not fully understood.

A particular sequence of repetitive DNA that plays an important role in human health contains a gene called DUX4 in each repeat. DUX4 is normally active in stem cells and in early-stage embryos. This gene is then switched off or ‘silenced’ during later stages of development and in most cells of the body. However, in some individuals the DUX4 gene inappropriately activates in muscle cells. This causes a disease known as facioscapulohumeral muscular dystrophy (FSHD), in which muscle weakness begins in the face and upper body and eventually spreads to other muscles. Currently, there is no cure for FSHD.

Proteins that bind to DNA can control the activity of nearby genes. Little is known about which proteins silence DUX4 at the appropriate time and in the right cells, so Campbell et al. set out to identify the proteins that attach to the repetitive DNA sequences containing DUX4. Further investigation showed that several of these proteins play an important role in keeping DUX4 turned off, including two protein complexes called NuRD and CAF-1. These complexes are necessary to silence DUX4 in human muscle cells and stem cells. Campbell et al. also identified a protein that can increase the activity of the DUX4 gene in FSHD muscle cells by overcoming the silencing activity of the NuRD complex.

Overall, the results presented by Campbell et al. provide the groundwork for developing new treatments for FSHD. The next step will be to discover ways of enhancing the ability of NuRD and CAF-1 to silence the DUX4 gene.

https://doi.org/10.7554/eLife.31023.002

Introduction

Repetitive DNA sequences make up the majority of the human genome (Birney et al., 2007; de Koning et al., 2011), and these ubiquitous but understudied elements play a critical role in important biological processes such as embryogenesis and cellular reprogramming (Chuong et al., 2017; Elbarbary et al., 2016; Gerdes et al., 2016). For example, each unit of the D4Z4 macrosatellite repeat array contains a copy of the double homeobox 4 (DUX4) retrogene that is expressed in the germline and in four-cell human embryos where DUX4 activates a cleavage-specific transcriptional program (De Iaco et al., 2017; Hendrickson et al., 2017; Snider et al., 2010; Whiddon et al., 2017). This is in contrast to somatic tissues where DUX4 is silenced via repeat-mediated epigenetic repression of the D4Z4 arrays (Das and Chadwick, 2016; Daxinger et al., 2015; Snider et al., 2010; van Overveld et al., 2003; Zeng et al., 2009). To date, little is understood about how the epigenetic repression of DUX4 is relieved at specific times during germline and early embryo development, or what the mechanisms of establishing and maintaining epigenetic repression during later development and in somatic tissues are.

Facioscapulohumeral muscular dystrophy (FSHD) is caused by the mis-expression of DUX4 in skeletal muscle (Tawil et al., 2014) and provides an experimentally tractable context in which to identify mechanisms that normally repress DUX4 in somatic cells as well as mechanisms that might regulate this repression during development. In individuals with FSHD, the epigenetic repression of DUX4 is incomplete as a consequence of having fewer than 11 D4Z4 repeats (FSHD type 1, FSHD1) or mutations in trans-acting chromatin repressors of D4Z4 (FSHD type 2, FSHD2), either of which results in ectopic expression of DUX4 in skeletal muscle when combined with a permissive chromosome 4qA haplotype that provides a polyadenylation site for the DUX4 mRNA (Lemmers et al., 2012; Lemmers et al., 2010; van den Boogaard et al., 2016). The mis-expression of DUX4 in skeletal muscle has many consequences that include induction of a cleavage-stage transcriptional program, suppression of the innate immune response and nonsense-mediated RNA decay (NMD) pathways, inhibition of myogenesis, and induction of cell death through mechanisms that involve the accumulation of aberrant and double-stranded RNAs (Bosnakovski et al., 2008; Feng et al., 2015; Geng et al., 2012; Kowaljow et al., 2007; Rickard et al., 2015; Shadle et al., 2017; Snider et al., 2009; Wallace et al., 2011; Winokur et al., 2003; Young et al., 2013). These cellular insults lead to progressive muscle weakness initiating in the face and upper body but eventually involving nearly all skeletal muscle groups (Tawil et al., 2014).

Previous studies investigating D4Z4 repeat-mediated epigenetic repression have shown the D4Z4 arrays to be silenced through multiple mechanisms, including DNA methylation and the repressive histone modifications di/trimethylation of histone H3 at lysine 9 (H3K9me2/3) and trimethylation of histone H3 at lysine 27 (H3K27me3) along with their binding proteins CBX3/HP1γ and EZH2 (Cabianca et al., 2012; Huichalaf et al., 2014; van den Boogaard et al., 2016; van Overveld et al., 2003; Zeng et al., 2009). Other repressor proteins have been shown to be associated with the D4Z4 repeat, including DNMT3B, SMCHD1, cohesin, CTCF, HDAC3 and a YY1/HMGB2/NCL complex (Gabellini et al., 2002; Huichalaf et al., 2014; Lemmers et al., 2012; Ottaviani et al., 2009; van den Boogaard et al., 2016; Zeng et al., 2009). In addition, DICER/AGO-dependent siRNA-directed silencing has also been demonstrated to play a role in repressing the D4Z4 array (Lim et al., 2015; Snider et al., 2009). The genetic lesions that cause FSHD disrupt these regulatory pathways resulting in D4Z4 DNA hypomethylation; reduced H3K9me2/3 and H3K27me3 levels; and loss of HP1γ, EZH2, SMCHD1 and cohesin binding; which together culminate in ectopic DUX4 expression (Cabianca et al., 2012; Daxinger et al., 2015; Jones et al., 2014; Lemmers et al., 2012; van den Boogaard et al., 2016; van Overveld et al., 2003; Zeng et al., 2009). Although each of the above-mentioned studies tested specific factors based on knowledge of their role in chromatin, to date no studies have taken an agnostic approach to identify how these individual components might be integrated into repressive complexes or to understand how these complexes might be regulated.

Here, we report a locus-specific proteomics-based characterization of proteins that bind the D4Z4 array in human myoblasts and identify the NuRD and CAF-1 complexes as individually necessary to maintain DUX4 repression in skeletal muscle and induced pluripotent stem (iPS) cells. Further, we show that DUX4-mediated induction of the MBD3L family of factors relieves this repression and amplifies DUX4 expression. Together, these findings identify multiprotein complexes that regulate DUX4 expression and reveal a process for DUX4 amplification in FSHD muscle cells that provides a new candidate target for therapeutics.

Results

enChIP-MS identifies NuRD complex components as D4Z4 repeat-associated proteins

To identify regulators of the D4Z4 macrosatellite repeat, we carried out engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP) followed by mass spectrometry (MS) (enChIP-MS) (Fujita and Fujii, 2013) (Figure 1A). We transduced human MB135 control (non-FSHD) myoblasts with a lentiviral vector co-expressing FLAG-tagged, nuclease-deficient Cas9 (FLAG-dCas9) and guide RNA (gRNA) targeting the 3’ end (gD4Z4-1), middle (gD4Z4-2) or 5’ end (gD4Z4-3) of the D4Z4 unit, or the MYOD1 distal regulatory region (DRR) (gMYOD1) for comparison. After confirming the expression, subcellular localization, and specific chromatin occupancy of FLAG-dCas9 in each cell line (Figure 1—figure supplement 1), complexes containing FLAG-dCas9 were immunoprecipitated and subjected to liquid chromatography-tandem mass spectrometry for protein identification.

Figure 1 with 1 supplement see all
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NuRD complex components bind the D4Z4 macrosatellite repeat.

(A) Schematic summary of the enChIP procedure. A 3xFLAG-dCas9-HA-2xNLS fusion protein (FLAG-dCas9) consisting of an N-terminal triple FLAG (3xFLAG) epitope tag, catalytically inactive Cas9 endonuclease (dCas9), C-terminal human influenza hemagglutinin (HA) epitope tag and tandem nuclear localization signal (2xNLS) is expressed with one or more guide RNA (gRNA) in an appropriate cell context. Cells are crosslinked, chromatin is fragmented and complexes containing FLAG-dCas9 are immunoprecipitated with an anti-FLAG antibody. After reversing the crosslinks, molecules associated with the targeted genomic region are purified and identified by downstream analyses including mass spectrometry and next-generation sequencing. Adapted from Fujita et al. (2016). (B–E) ChIP-qPCR enrichment of NuRD complex components CHD4 (B), HDAC2 (C), MTA2 (D) and MBD2 (E) along the D4Z4 repeat in MB2401 control myoblasts. The Chr18q12 amplicon contains no CpG dinucleotides and serves as a negative control site, while the TMEM130 promoter is occupied by NuRD complex components in published ENCODE datasets (ENCODE Project Consortium, 2012) and functions as a positive control locus. Error bars denote the standard deviation from the mean of three biological replicates. Statistical significance was calculated by comparing the specific pulldown to the IgG control at each site using a two-tailed, two-sample Mann-Whitney U test. *, p≤0.05; ns, not significant, p>0.05. See also Figure 1—source data 1.

https://doi.org/10.7554/eLife.31023.003
Figure 1—source data 1

Source data for Figure 1.

This file contains the source data used to make the graphs presented in Figure 1 and Figure 1—figure supplement 1. GraphPad Prism was utilized to visually represent the quantitative data.

https://doi.org/10.7554/eLife.31023.005

A total of 261 proteins were identified (Supplementary file 1), including known D4Z4-associated factors SMCHD1, CBX3/HP1γ and the cohesin complex components SMC1A, SMC3, RAD21 and PDS5B (Lemmers et al., 2012; Zeng et al., 2009) (Table 1). BRD3 and BRD4 were also identified (Supplementary file 1) and BET inhibitor compounds have recently been shown to regulate D4Z4 repression (Campbell et al., 2017). D4Z4-bound proteins were enriched in gene ontology categories that included telomere maintenance and chromatin silencing (Supplementary file 2), consistent with the subtelomeric localization and transcriptionally repressed state of the D4Z4 array. Strikingly, CHD4, HDAC2, MTA2 and RBBP4, which comprise many of the components of the Nucleosome Remodeling Deacetylase (NuRD) complex (Basta and Rauchman, 2015), were among the isolated proteins (Table 1). While each of these factors was identified as associated with the D4Z4 repeat in more than one gD4Z4 sample, they were either absent or present in only a single replicate from the gMYOD1 pulldowns (Supplementary file 1).

Table 1
Examples of proteins identified by enChIP-MS.
https://doi.org/10.7554/eLife.31023.006
Gene nameSampleCategory
gD4Z4gMYOD1
# peptides*% coverage†# peptides*% coverage†
CBX3/HP1γ4.715.70.00.0Known D4Z4-associated proteins
NCL47.422.334.014.2
PDS5B2.011.20.00.0
RAD211.82.90.00.0
SMC1A7.05.82.01.8
SMC317.06.71.01.0
SMCHD11.62.40.00.0
CHD48.33.10.00.0NuRD complex components
HDAC22.55.63.06.8
MTA21.22.21.01.5
RBBP44.57.54.06.9

  1. *Average number of peptides recovered from each sample type, combining like (gD4Z4 or gMYOD1) immunoprecipitations.

    †Average percentage of each protein covered by the identified peptides from each sample type, combining like (gD4Z4 or gMYOD1) immunoprecipitations.

Occupancy of CHD4, HDAC2 and MTA2 at the D4Z4 array was confirmed by chromatin immunoprecipitation (ChIP) in MB2401 myoblasts, an independent control muscle cell line (Figure 1B–D). The NuRD complex can be recruited to methylated DNA by the MBD2 subunit (Le Guezennec et al., 2006; Zhang et al., 1999), and indeed, ChIP showed MBD2 enrichment at the D4Z4 region in MB2401 control myoblasts (Figure 1E). Together, these data demonstrate that the D4Z4 macrosatellite repeat is bound by the MBD2/NuRD complex in control human muscle cells.

MBD2/NuRD complex components mediate transcriptional repression of the D4Z4 array

The NuRD complex represses gene transcription via the concerted effort of the core subunits HDAC1 and HDAC2; CHD3 or CHD4; MBD2 or MBD3; MTA1, MTA2 or MTA3; RBBP4 and RBBP7; and GATAD2A and GATAD2B (Basta and Rauchman, 2015) (Figure 2A). In MB2401 control myoblasts, small interfering RNA (siRNA) depletion of the lysine deacetylases HDAC1 or HDAC2 had no significant effect on DUX4 mRNA levels, whereas concurrent HDAC1/HDAC2 knockdown increased DUX4 mRNA 100-fold resulting in the activation of DUX4 target genes ZSCAN4 and TRIM43 (Figure 2B and Figure 2—figure supplement 1A). In contrast, in MB073 FSHD1 and MB200 FSHD2 myoblasts, singular HDAC1 or HDAC2 depletion led to a ≥ 20-fold activation of DUX4 mRNA while dual HDAC1/HDAC2 knockdown increased DUX4 levels more than 140-fold, with comparable changes to DUX4 targets (Figure 2C–D and Figure 2—figure supplement 1B–C). Pharmacological inhibition of HDAC1/HDAC2 activity by MS-275 (Nebbioso et al., 2009) also increased DUX4 and DUX4 target gene expression, and enhanced histone H4 acetylation at the D4Z4 array (Figure 2—figure supplement 2). Collectively, these results indicate that HDAC1 and HDAC2 are associated with, and function to transcriptionally repress, the D4Z4 array. These data also show that the D4Z4 repeat in control myoblasts is more resistant to de-repression than the D4Z4 repeat in FSHD cells, which are sensitized because of a shortened array (FSHD1) or SMCHD1 mutation (FSHD2).

Figure 2 with 6 supplements see all
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The MBD2/NuRD complex represses the D4Z4 array.

(A) Schematic representation of the NuRD complex. Subunits colored darkest grey have the most lines of evidence linking them to DUX4 regulation (e.g. enChIP, siRNA and ChIP data), while more lightly colored subunits have progressively less experimental support. Adapted from Hota and Bruneau (2016). (B–J) DUX4 and DUX4 target gene expression as determined by RT-qPCR following control (CTRL), HDAC1/HDAC2 (B–D), CHD4 (E–G) or MBD2 (H–J) siRNA knockdown in MB2401 control (B,E,H), MB073 FSHD1 (C,F,I) or MB200 FSHD2 (D,G,J) myoblasts. Error bars denote the standard deviation from the mean of three biological replicates. Statistical significance was calculated by comparing the specific knockdown to the control knockdown for each gene using a two-tailed, two-sample Mann-Whitney U test. *, p≤0.05.See also Figure 2—source data 1.

https://doi.org/10.7554/eLife.31023.007
Figure 2—source data 1

Source data for Figure 2.

This file contains the source data used to make the graphs presented in Figure 2 and Figure 2—figure supplements 1–6. GraphPad Prism was utilized to visually represent the quantitative data.

https://doi.org/10.7554/eLife.31023.014

We next evaluated the necessity of the ATP-dependent chromatin remodelers CHD3 and CHD4 for D4Z4 repeat repression. Depleting CHD4 from MB2401 control myoblasts had no effect on DUX4 expression (Figure 2E and Figure 2—figure supplement 3A). However, CHD4 knockdown in MB073 FSHD1 or MB200 FSHD2 myoblasts increased DUX4 mRNA 20-fold and concomitantly activated DUX4 targets (Figure 2F–G and Figure 2—figure supplement 3B–C). In contrast, CHD3 depletion did not lead to DUX4 de-repression in either control or FSHD cells (Figure 2—figure supplement 4), consistent with its absence from the gD4Z4 enChIP purifications and the mutually exclusive nature of CHD3 and CHD4 within the NuRD complex. Together, these results reveal that CHD4 binds the D4Z4 repeat and is necessary to silence DUX4 expression in FSHD cells, whereas control myoblasts have a more stably repressed D4Z4 array.

Similar to CHD4, depleting methyl-CpG-binding protein MBD2 from MB2401 control myoblasts had no effect on DUX4 mRNA levels (Figure 2H and Figure 2—figure supplement 5A). However, depleting MBD2 from MB073 FSHD1 myoblasts moderately, but significantly, increased DUX4 expression, whereas DUX4 was not de-repressed when MBD2 was knocked down in MB200 FSHD2 myoblasts (Figure 2I–J and Figure 2—figure supplement 5B–C). This difference suggests a possible D4Z4 context-dependent effect that was not observed for the single-copy NuRD complex-bound gene TMEM130 following MBD2 knockdown (Figure 2—figure supplement 5). We further observed that depletion of MBD3, which can recruit the NuRD complex to unmethylated DNA (Baubec et al., 2013; Le Guezennec et al., 2006; Saito and Ishikawa, 2002), did not de-repress DUX4 in MB2401 control, MB073 FSHD1 or MB200 FSHD2 myoblasts (Figure 2—figure supplement 6). Together, these data show that MBD2 occupies the D4Z4 array and is necessary for DUX4 repression in at least some contexts, and suggest that factors in addition to MBD2 might recruit components shared by the NuRD complex to silence the D4Z4 macrosatellite repeat.

Silencing the D4Z4 array requires components of the MBD1/CAF-1 complex

The NuRD complex is known to cooperate with other complexes to carry out its cellular functions. For example, NuRD and the CAF-1 chromatin assembly complex work together in several molecular processes (Helbling Chadwick et al., 2009; Yang et al., 2015) and share a core subunit, RBBP4, which was identified as associated with the D4Z4 repeat by gD4Z4 enChIP purification (Table 1). CHAF1A and CHAF1B comprise the other core members of the CAF-1 complex (Volk and Crispino, 2015) (Figure 3A). Depleting CHAF1A or CHAF1B resulted in the activation of DUX4 and DUX4 target genes in FSHD myoblasts (Figure 3B–D and Figure 3—figure supplement 1), confirming a role for this complex in D4Z4 regulation. CAF-1 interacts with CpG-binding protein MBD1, which binds both methylated and unmethylated DNA to inhibit transcription (Jørgensen et al., 2004; Reese et al., 2003). Knockdown of MBD1 led to DUX4 and DUX4 target gene activation in MB200 FSHD2 myoblasts but not in MB2401 control or MB073 FSHD1 myoblasts (Figure 3E–G and Figure 3—figure supplement 2), indicating a possible context-dependent relative necessity of MBD1 or MBD2 in different FSHD cells.

Figure 3 with 7 supplements see all
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MBD1/CAF-1 components repress the D4Z4 array.

(A) Schematic representation of the CAF-1 complex, with shading as in Figure 2A. All subunits have one line of evidence linking them to DUX4 regulation. (B–J) DUX4 and DUX4 target gene expression as determined by RT-qPCR following control (CTRL), CHAF1A/CHAF1B (B–D), MBD1 (E–G) or CHAF1A/CHD4 (H–J) siRNA knockdown in MB2401 control (B,E,H), MB073 FSHD1 (C,F,I) or MB200 FSHD2 (D,G,J) myoblasts. Error bars denote the standard deviation from the mean of three biological replicates. See also Figure 3—source data 1.

https://doi.org/10.7554/eLife.31023.015
Figure 3—source data 1

Source data for Figure 3.

This file contains the source data used to make the graphs presented in Figure 3 and Figure 3—figure supplements 1–7. GraphPad Prism was utilized to visually represent the quantitative data.

https://doi.org/10.7554/eLife.31023.023

Notably, although knockdown of CHAF1A or CHD4 alone did not induce DUX4 expression in MB2401 control myoblasts (Figure 2E and Figure 3B), simultaneous depletion increased DUX4 mRNA levels over 150-fold (Figure 3H and Figure 3—figure supplement 3A). An additive or greater impact was also observed with dual versus singular CHD4 and CHAF1A knockdown in MB073 FSHD1 and MB200 FSHD2 myoblasts (Figure 3I–J and Figure 3—figure supplement 3B–C). Together, these results indicate that a combination of MBD1- and MBD2-mediated recruitment of the CAF-1 and NuRD repressive complexes, respectively, work together to silence the D4Z4 repeat in skeletal muscle cells.

To extend these studies, we depleted CHD4, CHAF1A, MBD2, or MBD1 in five additional FSHD cell lines: one FSHD1 cell line (54-2) with three 4qA D4Z4 repeats (compared to the 8 repeats of the MB073 line), and four FSHD2 lines (2305, 2453, 2338, and 1881) with different SMCHD1 mutations and repeat sizes ranging from 11 to 15 D4Z4 units (Supplementary file 3). All five lines showed de-repression of DUX4 upon knockdown of MBD2 or CHAF1A, and all but one (2453, an FSHD2 cell line) showed increased DUX4 expression following CHD4 depletion, whereas de-repression following MBD1 knockdown was evident in the FSHD1 and two of the FSHD2 cell lines (Figure 3—figure supplements 4–7). Taken together, these data indicate the combined roles of the NuRD and CAF-1 complexes in repressing DUX4, and that the relative necessity of specific components of each pathway might vary depending on the cellular context, or possibly the efficiency of each knockdown.

Components shared by the NuRD and CAF-1 complexes mediate D4Z4 repeat repression

To repress transcription, core members of the NuRD and CAF-1 complexes utilize a shared set of auxiliary factors, namely the tripartite motif-containing protein TRIM28, the lysine methyltransferase SETDB1, and the lysine demethylase KDM1A (Ivanov et al., 2007; Loyola et al., 2009; Sarraf and Stancheva, 2004; Schultz et al., 2001; Wang et al., 2009; Yang et al., 2015). Knockdown of TRIM28, SETDB1 or KDM1A de-repressed DUX4 in MB073 FSHD1 and MB200 FSHD2 myoblasts to varying degrees ranging from 3- to 130-fold (Figure 4 and Figure 4—figure supplements 1–3), implicating them in facilitating silencing of the D4Z4 array. Of these factors, only KDM1A knockdown de-repressed DUX4 mRNA in the MB2401 control myoblasts, indicating a necessary role for this demethylase in maintaining repression of both normal and pathological D4Z4 alleles in muscle cells. In support of these expression data, peptides for TRIM28 were present in gD4Z4 enChIP pulldowns, although they did not meet our filtering criteria to be included in the list of D4Z4-associated proteins.

Figure 4 with 4 supplements see all
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Additional transcriptional repressors silence the D4Z4 repeat.

(A–I) DUX4 and DUX4 target gene expression as determined by RT-qPCR following control (CTRL), TRIM28 (A–C), SETDB1 (D–F) or KDM1A (G–I) siRNA knockdown in MB2401 control (A,D,G), MB073 FSHD1 (B,E,H) or MB200 FSHD2 (C,F,I) myoblasts. Error bars denote the standard deviation from the mean of three biological replicates. Statistical significance was calculated by comparing the specific knockdown to the control knockdown for each gene using a two-tailed, two-sample Mann-Whitney U test and p was ≤0.05 for all comparisons except those in (A) and (D). See also Figure 4—source data 1.

https://doi.org/10.7554/eLife.31023.024
Figure 4—source data 1

Source data for Figure 4.

This file contains the source data used to make the graphs presented in Figure 4 and Figure 4—figure supplements 1–4. GraphPad Prism was utilized to visually represent the quantitative data.

https://doi.org/10.7554/eLife.31023.029

Similarly, SIN3A peptides were found in a gD4Z4 pulldown before our final filtering steps. The transcriptionally repressive SIN3 complex shares core proteins HDAC1, HDAC2, RBBP4, and RBBP7 with the NuRD complex and is also composed of SDS3, SAP18, SAP30 and SIN3A or SIN3B subunits (Grzenda et al., 2009) (Figure 4—figure supplement 4A). Therefore, we tested its role in D4Z4 repeat repression and found that SIN3A or SIN3B depletion led to the activation of DUX4 and DUX4 target genes in FSHD cells (Figure 4—figure supplement 4B–G), supporting a role for the SIN3 complex in D4Z4 regulation. Taken together, these data indicate that D4Z4 array silencing is mediated by multiple chromatin regulatory factors that act together with core components of the NuRD complex and also depend on the CAF-1 chromatin assembly complex to achieve full epigenetic repression.

Proteins that repress the D4Z4 array in myoblasts also silence DUX4 in iPS cells

We previously reported that DUX4 is expressed at very low levels in human iPS cell populations (Snider et al., 2010) and, similar to the expression pattern in FSHD myoblasts, this represents the occasional expression in a small number of cells (JWL, unpublished data). We have more recently shown that DUX4 is present in four-cell human embryos and that when expressed in iPS cells or muscle cells it activates a cleavage-stage transcriptional program similar to the program expressed in a subset of ‘naïve’ iPS or embryonic stem (ES) cells (Hendrickson et al., 2017; Whiddon et al., 2017). To determine whether factors responsible for silencing the D4Z4 repeat in myoblasts have a similar function in a model of early development, we knocked down components of the NuRD and CAF-1 complexes in human eMHF2 iPS cells, which were derived from an unaffected (non-FSHD) individual, and assessed the impact on DUX4 expression. Similar to our myoblast results, depletion of HDAC1/HDAC2, CHD4, CHAF1A, SETDB1 or SIN3B de-repressed DUX4 in iPS cells; whereas, unlike in myoblasts, knockdown of KDM1A in iPS cells had a more minor effect on the levels of DUX4 mRNA (Figure 5 and Figure 5—figure supplement 1).

Figure 5 with 3 supplements see all
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NuRD and CAF-1 complex components repress DUX4 in iPS cells.

(A–F) DUX4 gene expression as determined by RT-qPCR in human eMHF2 iPS cells following control (CTRL), HDAC1/HDAC2 (A), CHD4 (B), CHAF1A (C), SETDB1 (D), KDM1A (E) or SIN3B (F) siRNA knockdown. Error bars denote the standard deviation from the mean of three biological replicates. Statistical significance was calculated by comparing the specific knockdown to the control knockdown for each gene using a two-tailed, two-sample Mann-Whitney U test and p was ≤0.05 unless otherwise specified as not significant (ns). See also Figure 5—source data 1.

https://doi.org/10.7554/eLife.31023.030
Figure 5—source data 1

Source data for Figure 5.

This file contains the source data used to make the graphs presented in Figure 5 and Figure 5—figure supplements 1–3. GraphPad Prism was utilized to visually represent the quantitative data.

https://doi.org/10.7554/eLife.31023.034

To determine whether iPS cells have a greater necessity for NuRD and CAF-1 components to maintain DUX4 repression compared to somatic cells, we transduced a human foreskin fibroblast cell line (HFF3) with the reprogramming factors Oct4, Sox2, Nanog, and Lin28 to generate isogenic iPS cell clones (Figure 5—figure supplement 2). Notably, depletion of NuRD and CAF-1 complex components did not lead to DUX4 de-repression in the parental HFF3 fibroblast line, whereas the HFF3 iPS lines responded similarly to the eMHF2 iPS line (Figure 5—figure supplement 3). These results indicate that the NuRD and CAF-1 complexes that silence the D4Z4 macrosatellite array in muscle cells also contribute to the regulation of this locus in human iPS cells, and that iPS cells have decreased D4Z4 repression compared to their somatic counterpart, similar to the decreased repression in FSHD myoblasts compared to control myoblasts.

MBD3L2 de-represses the D4Z4 repeat

In prior studies of DUX4-induced gene expression, we identified the MBD3L family (MBD3L2, MBD3L3, MBD3L4, and MBD3L5) as a direct target of DUX4 that was expressed in FSHD, but not control, muscle cells and muscle biopsies, and activated by exogenous DUX4 in cultured human myoblasts (Geng et al., 2012; Yao et al., 2014; Young et al., 2013). MBD3L family proteins can replace MBD2 or MBD3 in the NuRD complex but they lack the CpG-binding domain and antagonize NuRD-mediated transcriptional repression, possibly by preventing the complex from being recruited to its DNA targets (Jiang et al., 2002; Jin et al., 2005). To determine whether MBD3L proteins de-repress the NuRD complex-regulated D4Z4 array, we transduced control and FSHD myoblasts with a lentiviral vector delivering a doxycycline-inducible MBD3L2 transgene and, after selecting for transgene-expressing cells, analyzed DUX4 mRNA and protein after 48 hr of doxycycline treatment. Similar to the knockdown of NuRD complex members, expression of MBD3L2 induced DUX4 5–18-fold in MB073 FSHD1 and MB200 FSHD2 myoblasts and increased by 10-fold the number of myoblast nuclei expressing DUX4 protein, whereas DUX4 was not de-repressed in MB2401 control myoblasts (Figure 6A–E and Figure 6—figure supplement 1A–C).

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MBD3L2 expression de-represses the D4Z4 array.

(A–C) DUX4 and DUX4 target gene expression as determined by RT-qPCR in MB2401 control (A), MB073 FSHD1 (B) or MB200 FSHD2 (C) myoblasts without (-) or with (+) doxycycline (Dox) treatment for 48 hr to induce MBD3L2 transgene expression in clonal cell lines. (D–E) DUX4-positive nuclei upon overexpression of MBD3L2 in MB200 FSHD2 myoblasts as in (C) were detected by immunofluorescence (D) and quantified by counting three fields representing >125 nuclei (E). (F–G) DUX4 and DUX4 target gene expression as determined by RT-qPCR following control (CTRL) or MBD3L family gene shRNA knockdown in MB073 FSHD1 (F) or MB200 FSHD2 (G) myotubes. Error bars denote the standard deviation from the mean of three biological replicates. Statistical significance was calculated by comparing the specific knockdown to the control knockdown for each gene using a two-tailed, two-sample Mann-Whitney U test and p was ≤0.05 for all comparisons except in (A). See also Figure 6—source data 1.

https://doi.org/10.7554/eLife.31023.035
Figure 6—source data 1

Source data for Figure 6.

This file contains the source data used to make the graphs presented in Figure 6 and Figure 6—figure supplements 1–2. GraphPad Prism was utilized to visually represent the quantitative data.

https://doi.org/10.7554/eLife.31023.038

When cultured in low mitogen differentiation media, myoblasts fuse to form multinucleated myotubes, and DUX4 expression increases in FSHD myotubes compared to myoblasts (Balog et al., 2015). To determine whether the DUX4-induced MBD3L proteins might contribute to the increased DUX4 expression in myotubes, we expressed short hairpin RNA (shRNA) to inhibit MBD3L RNAs in MB073 FSHD1 and MB200 FSHD2 myotubes and found that these decreased DUX4 and DUX4 target gene expression by ~50% and~30%, respectively (Figure 6F–G, Figure 6—figure supplement 1D–E and Figure 6—figure supplement 2). Together, these data implicate MBD3L2 in the regulation of the D4Z4 array and demonstrate that endogenous DUX4-induced MBD3L proteins contribute to the amplification of DUX4 expression in FSHD myotubes.

Discussion

In this study, enChIP-MS identified factors that co-purified with the D4Z4 macrosatellite array in human myoblasts, and subsequent ChIP and knockdown studies revealed that the NuRD and CAF-1 complexes repress DUX4 expression from the D4Z4 repeat in skeletal muscle and iPS cells. To some extent, each complex appears to have a parallel, or redundant, function in DUX4 repression because knockdown of both pathways was necessary to induce DUX4 expression in MB2401 control myoblasts. The distinctive mutations causing FSHD, or other factors such as the distribution of DNA methylation on the D4Z4, might preferentially weaken different specific components of each pathway, as evidenced by the relative necessity for CHD4, MBD2 or MBD1 in different FSHD cell lines. However, the variable efficiencies of the individual knockdowns in each cell type and experiment might also contribute to these apparent differences. It is also important to note that CAF-1 is a chromatin assembly complex and that the knockdowns were performed in replicating myoblasts; therefore, CAF-1 knockdown might not have the same consequence in post-mitotic myotubes. Overall, despite the relative differences in the necessity of the specific protein knockdown of individual components of the NuRD or CAF-1 complexes in different FSHD cells, the data show that these complexes together are necessary to maintain D4Z4 repression. These two complexes also have shared auxiliary components, for example, TRIM28, SETDB1, and KDM1A, and knockdown of these factors also induced DUX4 expression in FSHD cells, with KDM1A knockdown being sufficient on its own to induce DUX4 in control myoblasts.

Our en-ChIP pulldowns identified several D4Z4-associated proteins that are involved in epigenetic silencing of variegated gene expression in mice (Blewitt et al., 2005; Daxinger et al., 2013). One of this group of Modifier of murine metastable epiallele (Momme) genes, Smchd1, was shown to directly repress DUX4 in human cells and to be a causative gene for FSHD2 (Lemmers et al., 2012). In addition to finding SMCHD1 associated with the D4Z4 in our enChIP, we identified the Momme genes PBRM1, RIF1, SMARCA4, SMARCA5 and UHRF1 as D4Z4-associated by enChIP-MS, and implicated the Momme genes HDAC1, SETDB1 and TRIM28 in the regulation of DUX4 through knockdown experiments. The convergence and striking overlap of the results of these two complementary approaches to understanding variegated gene expression suggest that conserved machinery may be responsible for repressing this type of locus across species. The presence of chromatin remodelers and positive transcriptional regulators, such as SMARCA5, BRD3 and BRD4, at the D4Z4 locus in the control cells used for the enChIP also indicates a dynamic balance between activators and repressors, which is consistent with the identification of sense and anti-sense transcripts associated with the D4Z4 repeats in both control and FSHD cells (Snider et al., 2010). Our findings also suggest that PBRM1, RIF1, SMARCA4, SMARCA5 and UHRF1 are candidates for playing a role in DUX4 regulation and deserve additional attention in future studies.

The necessity of the NuRD complex to maintain repression of DUX4 in FSHD cells suggests that the DUX4-mediated induction of the MBD3L family of factors might amplify DUX4 expression within a nucleus or facilitate the internuclear spreading of DUX4 in multinucleated myotubes. MBD3L factors replace MBD2 or MBD3 in the NuRD complex and antagonize its normal repressive function (Jiang et al., 2002; Jin et al., 2005). In this study, we showed that expression of MBD3L2 was sufficient to amplify DUX4 expression in FSHD cells and knockdown using an shRNA that targets the entire family showed that expression of the MBD3L family was necessary for the full induction of DUX4 expression in FSHD myotubes. The fact that DUX4 induces high expression of the clustered MBD3L genes reveals a positive feed-forward mechanism that might facilitate spreading of DUX4 expression between nuclei in myotubes. In FSHD myotubes, DUX4 expression apparently initiates in a single nucleus and the protein then spreads to adjacent nuclei in the syncytium. Similarly, MBD3L proteins are detected as spreading to adjacent nuclei (AEC, unpublished data) where they would facilitate DUX4 expression. In this manner, each DUX4 expressing nucleus would act to progressively amplify DUX4 expression in its neighbors, spreading DUX4 expression along the myofiber. This might be similar to, and additive with, the prior observation that the DUX4-mediated inhibition of NMD can amplify DUX4 expression by stabilizing the DUX4 mRNA, which is itself a target of NMD (Feng et al., 2015). It is interesting to speculate that the internuclear amplification of DUX4 expression might contribute to the susceptibility of skeletal muscle to damage in FSHD.

Together our data provide several complementary approaches to the challenge of creating an FSHD therapeutic. One strategy would be to enhance D4Z4 repression by designing drugs that increase NuRD complex-mediated repression. Although drugs that decrease epigenetic repression are in clinical use, including some that target members of the NuRD complex (SAHA, targeting HDAC1/2; ORY-1001, targeting KDM1A; GSK126, EZH2 inhibitor) drugs that enhance epigenetic repression have received less attention. This is partly due to concerns that they might also suppress important tumor suppressor genes, but the fact that mutations in SMCHD1 and DNMT3B that cause FSHD have limited genome-wide consequences suggests that some factors might be relatively specific for repressing repetitive regions of the genome. A second strategy would be to prevent the amplification of DUX4 after it stochastically ‘bursts’ on in a myotube nucleus. This might be accomplished by inhibiting the production of MBD3L proteins with small molecules or interfering RNAs. Alternatively, myoblast transplantation with cells containing larger D4Z4 repeat sizes or 4qB alleles might provide ‘decoy’ nuclei that would absorb MBD3L factors and not activate DUX4, or, in a similar decoy approach, autologous transplants following deletion of the D4Z4 array and/or the MBD3L cluster.

Although little is known about the regulation of DUX4 expression in cleavage-stage embryos and the testis luminal cells, it is evident from this study that the expression of DUX4 in a small percentage of iPS cells or ES cells shares mechanisms of molecular regulation with skeletal muscle cells. This also indicates similarities between the regulation of the human DUX4 retrogene and the mouse Dux retrogene that is also in a macrosatellite array, although thought to have arisen from a separate retrotransposition of the DUXC gene (Clapp et al., 2007; Leidenroth et al., 2012; Leidenroth and Hewitt, 2010). It was previously shown that CAF-1 depletion in mouse ES cells resulted in the expression of genes specific to two-cell embryos (Ishiuchi et al., 2015), and later shown that induction of these genes was blocked by simultaneous knockdown of mouse Dux along with Chaf1a (Hendrickson et al., 2017). Trim28, Kdm1a, and HDAC inhibitors have been shown to regulate Zscan4 and the early cleavage program in mouse ES cells (Macfarlan et al., 2012), and for Trim28 this activity was shown to be mediated through the induction of mouse Dux (De Iaco et al., 2017). Similarly, the NuRD complex and MBD3 have been shown to inhibit cellular reprogramming in mouse ES cells, and, conversely, reprogramming to a naive stem cell state was facilitated by inhibition of these complexes (Luo et al., 2013; Rais et al., 2013). The fact that inhibiting NuRD or CAF-1 activity potentiates stem cell reprogramming in mouse ES/iPS cells and, as shown in this report, potentiates human DUX4 expression, suggests that DUX4 itself might facilitate reprogramming to the naive state and that mouse Dux and human DUX4 might be subject to similar regulation, a finding not entirely obvious given that these retrogenes are thought to have been generated by independent retrotranspositions of the parental DUXC gene, as noted above.

In summary, we identified components of the NuRD and CAF-1 complexes as necessary to maintain repression of DUX4 expression from the D4Z4 repeat. In control myoblasts, either pathway was sufficient to maintain repression of DUX4, whereas in FSHD cells inhibition of either pathway resulted in higher levels of DUX4 expression. These same mechanisms repress DUX4 expression in iPS cells. In addition, the DUX4 induction of the NuRD antagonist MBD3L family further de-repressed DUX4 in FSHD cells. Together, these findings provide the basis for therapies directed at repressing DUX4 in FSHD and reveal a mechanism for the regulation of DUX4 in stem cells.

Materials and methods

Key resources table
Reagent type (species)
or resource		DesignationSource or referenceIdentifiersAdditional information
Cell line (H. sapiens)1881 myoblastsFields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx)See Supplementary file 3
Cell line (H. sapiens)2305 myoblastsFields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx)See Supplementary file 3
Cell line (H. sapiens)2338 myoblastsFields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx)See Supplementary file 3
Cell line (H. sapiens)2453 myoblastsFields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx)See Supplementary file 3
Cell line (H. sapiens)54–2 myoblasts(Krom et al., 2012) (DOI:10.1016/j.ajpath.2012.07.007)See Supplementary file 3
Cell line (H. sapiens)eMHF2 iPS cellsUniversity of Washington Institute for Stem Cell and Regenerative Medicine Tom and Sue Ellison Stem Cell Core (http://depts.washington.edu/iscrm/ellison)
Cell line (H. sapiens)HFF3 fibroblastsATCCATCC:SCRC-1043; RRID:CVCL_DB29
Cell line (H. sapiens)MB073 myoblastsFields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx)See Supplementary file 3
Cell line (Homo sapiens)MB135 myoblastsFields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx)See Supplementary file 3
Cell line (H. sapiens)MB200 myoblastsFields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx)See Supplementary file 3
Cell line (H. sapiens)MB2401 myoblastsFields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx)See Supplementary file 3
Antibodyalpha-TubulinSigma-AldrichSigma-Aldrich:T9026; RRID:AB_477593
AntibodyAcetyl-Histone H4EMD MilliporeEMD Millipore:06866; RRID:AB_310270
AntibodyCHD4Bethyl LaboratoriesBethyl Laboratories:A301081A; RRID:AB_873001
AntibodyDUX4 (14–3)(Geng et al., 2011)
AntibodyDUX4 (E5-5)(Geng et al., 2011)
AntibodyFITC anti-mouseJackson ImmunoResearchJackson ImmunoResearch:715095150; RRID:AB_2340792
AntibodyFLAG M2Sigma-AldrichSigma-Aldrich:F1804 or F3165; RRID:AB_262044 or RRID:AB_259529
AntibodyHDAC2AbcamAbcam:ab7029; RRID:AB_305706
AntibodyHRP anti-mouseJackson ImmunoResearchJackson ImmunoResearch:115035146; RRID:AB_2307392
AntibodyMBD2Bethyl LaboratoriesBethyl Laboratories:A301632A; RRID:AB_1211478
AntibodyMTA2AbcamAbcam:ab8106; RRID:AB_306276
AntibodyTRITC anti-rabbitJackson ImmunoResearchJackson ImmunoResearch:711025152; RRID:AB_2340588
Recombinant DNA reagentpCW57.1-MBD3L2This paperAddgene plasmid #106332Lentiviral vector expressing doxycycline-inducible MBD3L2 (generated using pCW57.1 [Addgene plasmid #41393])
Recombinant DNA reagentpGIPZ-shControlFred Hutchinson Cancer Research Center Genomics Shared Resource (http://monod.fhcrc.org/rnai/)
Recombinant DNA reagentpGIPZ-shMBD3L-1Fred Hutchinson Cancer Research Center Genomics Shared Resource (http://monod.fhcrc.org/rnai/)
Recombinant DNA reagentpGIPZ-shMBD3L-2Fred Hutchinson Cancer Research Center Genomics Shared Resource (http://monod.fhcrc.org/rnai/)
Recombinant DNA reagentpZLCv2-3xFLAG-dCas9-HA-2xNLSThis paperAddgene plasmid #106357Lentiviral vector expressing FLAG-tagged, nuclease-deficient Cas9 (generated using lentiCRISPRv2 [Addgene plasmid #52961] and pHR-SFFV-KRAB-dCas9-P2A-mCherry [Addgene plasmid #60954])
Recombinant DNA reagentpZLCv2-gD4Z4-1-3xFLAG-dCas9-HA-2xNLSThis paperAddgene plasmid #106352Lentiviral vector expressing FLAG-dCas9 and a guide RNA targeting the D4Z4 unit
Recombinant DNA reagentpZLCv2-gD4Z4-2-3xFLAG-dCas9-HA-2xNLSThis paperAddgene plasmid #106353Lentiviral vector expressing FLAG-dCas9 and a gRNA targeting the D4Z4 unit
Recombinant DNA reagentpZLCv2-gD4Z4-3-3xFLAG-dCas9-HA-2xNLSThis paperAddgene plasmid #106354Lentiviral vector expressing FLAG-dCas9 and a gRNA targeting the D4Z4 unit
Recombinant DNA reagentpZLCv2-gMYOD1-3xFLAG-dCas9-HA-2xNLSThis paperAddgene plasmid #106355Lentiviral vector expressing FLAG-dCas9 and a gRNA targeting the MYOD1 distal regulatory region
Sequenced-based reagentenChIP-/ChIP-qPCR primersThis paperSee Supplementary file 4
Sequenced-based reagentgRNAsThis paperSee Supplementary file 4
Sequenced-based reagentRT-qPCR primersThis paperSee Supplementary file 4
Sequenced-based reagentshRNAsThis paperSee Supplementary file 4
Sequenced-based reagentsiRNAsThis paperSee Supplementary file 4
Peptide, recombinant protein3X FLAG peptideSigma-AldrichSigma-Aldrich:F4799
Commercial assay or kitQIAshredderQiagenQiagen:79656
Commercial assay or kitRNeasy Mini KitQiagenQiagen:74106
Commercial assay or kitSuperScript III First-Strand Synthesis SystemInvitrogen/Thermo FisherInvitrogen/Thermo Fisher:18080051
Chemical compound, drug2-MercaptoethanolSigma-AldrichSigma-Aldrich:M3148
Chemical compound, drugDexamethasoneSigma-AldrichSigma-Aldrich:D4902
Chemical compound, drugDMEM:Nutrient Mixture F-12Gibco/Thermo FisherGibco/Thermo Fisher:11320082
Chemical compound, drugDNase IThermo FisherThermo Fisher:18068015
Chemical compound, drugDoxycyline hyclateSigma-AldrichSigma-Aldrich:D9891
Chemical compound, drugDulbecco's Modified Eagle Medium (DMEM)Gibco/Thermo FisherGibco/Thermo Fisher:11965092
Chemical compound, drugDynabeads-Protein GThermo FisherThermo Fisher:10003D
Chemical compound, drugHam's F-10 Nutrient MixGibco/Thermo FisherGibco/Thermo Fisher:11550043
Chemical compound, drugHorse serumGibco/Thermo FisherGibco/Thermo Fisher:26050070
Chemical compound, drugHyClone Fetal Bovine SerumGE Healthcare Life SciencesGE Healthcare Life Sciences:SH30071.03
Chemical compound, drugInsulinSigma-AldrichSigma-Aldrich:I1882
Chemical compound, drugKnockOut Serum ReplacementGibco/Thermo FisherGibco/Thermo Fisher:10828028
Chemical compound, drugLipofectamine RNAiMAXInvitrogen/Thermo FisherInvitrogen/Thermo Fisher:13778150
Chemical compound, drugMatrigelCorning Life ScienceCorning Life Science:354277
Chemical compound, drugMEM non-essential amino acidsGibco/Thermo FisherGibco/Thermo Fisher:11140050
Chemical compound, drugmTeSR1 mediumSTEMCELL TechnologiesSTEMCELL Technologies:85850
Chemical compound, drugOpti-MEM reducedserum mediumThermo FisherThermo Fisher:31985070
Chemical compound, drugPenicillin/streptomycinGibco/Thermo FisherGibco/Thermo Fisher:15140122
Chemical compound, drugPolybreneSigma-AldrichSigma-Aldrich:107689
Chemical compound, drugPuromycinSigma-AldrichSigma-Aldrich:P8833
Chemical compound, drugRecominant human basic fibroblast growth factorPromega CorporationPromega Corporation:G5071
Chemical compound, drugSodium pyruvateGibco/Thermo FisherGibco/Thermo Fisher:11360070
Chemical compound, drugTransferrinSigma-AldrichSigma-Aldrich:T0665
Chemical compound, drugY-27632 ROCK inhibitorMiltenyi BiotecMiltenyi Biotec:130106538
Software, algorithmCode used for proteomics data analysisThis paper (Jagannathan, 2017)The R code used for the proteomics data analysis can be accessed via github at https://github.com/sjaganna/2017-campbell_et_al
Software, algorithmGraphPad PrismGraphPad Prism (https://graphpad.com)RRID:SCR_015807Version 6
Software, algorithmImageJImageJ (http://imagej.nih.gov/ij/)RRID:SCR_003070
Software, algorithmProteome DiscovererThermo FisherRRID:SCR_014477Version 1.4

Cell culture and reagents

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All reagents were obtained from Sigma-Aldrich (St. Louis, MO) unless otherwise specified. Human primary myoblast cell lines originated from the Fields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center (https://www.urmc.rochester.edu/neurology/fields-center.aspx) and were immortalized by retroviral transduction of CDK4 and hTERT (Stadler et al., 2011). Myoblasts were maintained in Ham’s F-10 Nutrient Mix (Gibco, Waltham, MA) supplemented with 20% HyClone Fetal Bovine Serum (GE Healthcare Life Sciences, Pittsburgh, PA), 100 U/100 μg penicillin/streptomycin (Gibco), 10 ng/ml recombinant human basic fibroblast growth factor (Promega Corporation, Madison, WI) and 1 μM dexamethasone. Differentiation of myoblasts into myotubes was achieved by switching the fully confluent myoblast monolayer into Dulbecco’s Modified Eagle Medium (DMEM, Gibco) containing 1% horse serum (Gibco), 100 U/100 μg penicillin/streptomycin, 10 μg/ml insulin and 10 μg/ml transferrin for 48–72 hr. Myoblasts harboring a transgene were additionally cultured in 2 μg/ml puromycin and transgene expression induced with 1 μg/ml doxycycline hyclate when required. Myoblast cell line identity was authenticated by monitoring fusion into myotubes, DUX4 expression, and the presence of a 4qA161 allele. Detailed characteristics of the myoblast lines used in this study are provided in Supplementary file 3. Human control (non-FSHD) iPS cells were obtained from the University of Washington Institute for Stem Cell and Regenerative Medicine Tom and Sue Ellison Stem Cell Core (eMHF2) (Hendrickson et al., 2017) or derived in-house from normal HFF3 foreskin fibroblasts reprogrammed via lentiviral transduction of Oct4, Sox2, Nanog and Lin28 (Yu et al., 2007), and grown in DMEM:Nutrient Mixture F-12 (1:1, Gibco) with 100 U/100 μg penicillin/streptomycin, 10 mM MEM Non-Essential Amino Acids (Gibco), 100 mM sodium pyruvate (Thermo Fisher Scientific, Waltham, MA, USA), 20% KnockOut Serum Replacement (Gibco), 1 mM 2-mercaptoethanol and 4 ng/ml recombinant human basic fibroblast growth factor under hypoxic (5% O2) conditions on 0.1% gelatin-coated plates pre-seeded with 1.3 × 104 cells/cm2 of irradiated mouse embryonic fibroblasts. While the full haplotypes are unknown, eMHF2 cells utilize DUX4 exon 3, suggesting a 4qA161S allele, while HFF3 cells use DUX4 exon 3b, suggesting a 4qA161L allele (Lemmers et al., 2018). HFF3 fibroblasts and 293T cells were maintained in DMEM supplemented with 10% HyClone Fetal Bovine Serum and 100 U/100 μg penicillin/streptomycin. Cell lines are tested periodically for Mycoplasma contamination by the Fred Hutchinson Cancer Research Center Specimen Processing/Research Cell Bank and have not shown evidence of Mycoplasma.

Cloning, virus production and transgenic cell line generation

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To construct FLAG-dCas9-gRNA plasmids, the lentiCRISPRv2 vector (a gift from Feng Zhang, Addgene plasmid #52961) (Sanjana et al., 2014) was digested with AgeI and BamHI, PCR was used to amplify AgeI-3xFLAG-EcoRI from a synthesized template and EcoRI-dCas9-BamHI from pHR-SFFV-KRAB-dCas9-P2A-mCherry (a gift from Jonathan Weissman, Addgene plasmid #60954) (Gilbert et al., 2014), the three fragments were ligated together to create a 3xFLAG-dCas9-HA-2xNLS vector, and then D4Z4 or MYOD1 gRNA were inserted by digesting 3xFLAG-dCas9-HA-2xNLS with BsmBI and ligating it to annealed gRNA oligos. To construct the doxycycline-inducible MBD3L2 plasmid, the MBD3L2 coding region was subcloned into the NheI and SalI sites of the pCW57.1 vector (a gift from David Root, Addgene plasmid #41393). The pGIPZ-shControl and -shMBD3L vectors were obtained from the Fred Hutchinson Cancer Research Center Genomics Shared Resource. Lentiviral particles were produced in 293T cells by co-transfecting the appropriate lentiviral vector with pMD2.G (a gift from Didier Trono, Addgene plasmid #12259) and psPAX2 (a gift from Didier Trono, Addgene plasmid #12260) using Lipofectamine 2000 (Invitrogen, Carlsbad, CA) following the manufacturer’s instructions. To generate polyclonal transgenic cell lines, myoblasts were transduced with lentivirus in the presence of 8 μg/ml polybrene and selected using 2 μg/ml puromycin. Monoclonal transgenic lines were generated by transducing at a low cell density using a low multiplicity of infection (MOI <1) and allowing cells that survived selection to form colonies before individual clones were isolated using cloning cylinders.

Protein extraction and immunoblotting

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Total protein extracts were generated by lysing cells in SDS sample buffer (500 mM Tris-HCl pH 6.8, 8% SDS, 20% 2-mercaptoethanol, 0.004% bromophenol blue, 30% glycerol) followed by sonication and boiling with 50 mM DTT. Samples were run on NuPage 4–12% precast polyacrylamide gels (Invitrogen) and transferred to nitrocellulose membrane (Invitrogen). Membranes were blocked in PBS containing 0.1% Tween-20% and 5% non-fat dry milk for 1 hr at room temperature before overnight incubation at 4°C with primary antibodies in block solution. Membranes were then incubated for 1 hr at room temperature with horseradish peroxidase-conjugated secondary antibodies in block solution and chemiluminescent substrate (Thermo Fisher Scientific) used for detection on film.

Immunofluorescence

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Cells were fixed in PBS containing 2% paraformaldehyde (Electron Microscopy Sciences, Hatfield, PA) for 7 min at room temperature and permeabilized for 10 min in PBS with 0.5% Triton X-100. Samples were then incubated overnight at 4°C with primary antibodies, followed by incubation with appropriate FITC- or TRITC-conjugated secondary antibodies for 1 hr at room temperature prior to DAPI counterstaining and imaging with a Zeiss Axiophot fluorescent microscope, AxioCam MRc digital camera and AxioVision 4.6 software (Carl Zeiss Microscopy, Thornwood, NY). Image J software (Schneider et al., 2012) was used for image analysis and quantification.

enChIP-qPCR

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FLAG-dCas9 chromatin occupancy was analyzed as previously described (Fujita and Fujii, 2013) using chromatin extraction and fragmentation methods from (Forsberg et al., 2000) and the following minor modifications. Five million trypsinized myoblasts were crosslinked with 1% formaldehyde (Thermo Fisher Scientific) for 10 min at room temperature. Chromatin was diluted to 0.5% SDS with IP Dilution Buffer (20 mM Tris pH 8.0, 2 mM EDTA, 150 mM NaCl, 1% Triton X-100, 0.01% SDS, cOmplete EDTA-free Protease Inhibitor Cocktail, 100 mM PMSF) and fragmented to an average length of 500 bp using a Fisher Scientific Model 500 Sonic Dismembrator probe tip sonicator. Soluble chromatin was diluted to 0.2% SDS with IP Dilution Buffer before pre-clearing with 5 μg of mouse IgG conjugated to 20 μl of Dynabeads-Protein G (Thermo Fisher Scientific) followed by immunoprecipitation with 5 μg of anti-FLAG M2 antibody conjugated to 50 μl of Dynabeads-Protein G. Quantitative PCR was carried out on a QuantStudio 7 Flex (Applied Biosystems, Waltham, MA) using locus-specific primers and iTaq SYBR Green Supermix (Bio-Rad Laboratories, Hercules, CA). Primer sequences are listed in Supplementary file 4.

enChIP-MS

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The enChIP-MS procedure was performed as described previously (Fujita and Fujii, 2013) using chromatin extraction and fragmentation methods from (Forsberg et al., 2000) and the following minor modifications. Forty million myoblasts were harvested by trypsinization and lysed in Cell Lysis Buffer (10 mM Tris pH 8.0, 10 mM NaCl, 0.2% IGEPAL-CA630, cOmplete EDTA-free Protease Inhibitor Cocktail, 100 mM PMSF). The isolated nuclei were crosslinked with 1–2% formaldehyde at room temperature for 10–20 min and then lysed in Nuclei Lysis Buffer (50 mM Tris pH 8.0, 10 mM EDTA, 1% SDS, cOmplete EDTA-free Protease Inhibitor Cocktail, 100 mM PMSF). Chromatin was diluted to 0.5% SDS with IP Dilution Buffer and fragmented using a Fisher Scientific Model 500 Sonic Dismembrator probe tip sonicator to an average length of 3 kb. Sonicated chromatin was diluted to 0.2% SDS with IP Dilution Buffer, pre-cleared with 25 μg of mouse IgG conjugated to 100 μl of Dynabeads-Protein G and immunoprecipitated with 70 μg of anti-FLAG M2 antibody conjugated to 180 μl of Dynabeads-Protein G. An additional two Dynabead washes in Low Salt Wash Buffer replaced the high-salt washes. Eluted and precipitated samples were resuspended in SDS sample buffer, boiled and subjected to SDS-PAGE. Entire gel lanes were excised and proteins analyzed using an OrbiTrap Elite mass spectrometer (Thermo Fisher Scientific) coupled to an Easy-nLC II (Thermo Fisher Scientific) at the Fred Hutchinson Cancer Research Center Proteomics Shared Resource. The raw spectra were searched against a UniProt human protein database that also included common contaminants as defined in Mellacheruvu et al. (2013) using Proteome Discoverer 1.4 software (Thermo Fisher Scientific) to generate peptide-spectrum matches. The number of peptides that mapped to each protein was summarized to generate a ‘pseudoquant’ metric. Proteins with at least one peptide-spectrum match in two experimental replicates were carried forward for further analysis, after filtering out common contaminants. Finally, the UniProt annotations for Function and Subcellular location were used to restrict the analysis to only the nuclear proteins to enrich for biologically relevant, nuclear interactions. The R code used for the proteomics data analysis can be accessed via github (https://github.com/sjaganna/2017-campbell_et_al) (Jagannathan, 2017). The gRNA sequences are listed in Supplementary file 4.

GO category analysis

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GO analysis was carried out with the PANTHER classification system (Mi et al., 2016) using the statistical overrepresentation test against all human genes and the complete GO Biological process annotation. p-Values were corrected for multiple hypothesis testing using the Bonferroni correction.

ChIP-qPCR

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The occupancy of NuRD complex components and acetyl-Histone H4 was determined using crosslinked ChIP coupled with micrococcal nuclease digestion as described previously (Skene and Henikoff, 2015). For acetyl-Histone H4 samples, the Lysis Buffer and IP Dilution Buffer were supplemented with 10 mM sodium butyrate. Quantitative PCR was carried out on a QuantStudio 7 Flex using locus-specific primers and iTaq SYBR Green Supermix. Primer sequences are listed in Supplementary file 4.

siRNA transfections

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Flexitube and ON-TARGETplus duplex siRNAs were obtained from Qiagen (Hilden, Germany) or GE Dharmacon (Lafayette, CO), respectively. Transfections of siRNAs into myoblasts and iPS cells were carried out using Lipofectamine RNAiMAX (Invitrogen) according to the manufacturer’s instructions. A double transfection protocol was followed in myoblasts to ensure efficient depletion of pre-existing proteins. Briefly, cells were seeded at ~30% confluence in six-well plates and transfected ~20 hr later with 6 μl Lipofectamine RNAiMAX and 25 pmol of either gene-specific siRNA(s) or a scrambled non-silencing control siRNA diluted in 125 μl Opti-MEM Reduced Serum Medium (Thermo Fisher Scientific). Forty-eight hours following this, myoblasts were transfected a second time and harvested for RNA analysis 48–72 hr later. In iPS cells, the same procedure was followed except cells were treated with 10 μM Y-27632 ROCK inhibitor (Miltenyi Biotec, Auburn, CA) for 24 hr before being trypsinized and seeded in mTeSR1 medium (STEMCELL Technologies, Vancouver, BC) at 1 × 105 cells/well on Matrigel (Corning Life Science, Tewksbury, MA)-coated six-well plates, and were harvested 48 hr after a single transfection. The sequences of siRNAs are listed in Supplementary file 4.

RNA isolation and RT-qPCR

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Total RNA was extracted from whole cells using the RNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions. The isolated RNA was treated with DNase I (Thermo Fisher Scientific), heat inactivated, and reverse transcribed into cDNA using Superscript III (Thermo Fisher Scientific) and oligo(dT) primers (Invitrogen) following the manufacturer’s protocol. Quantitative PCR was carried out on a QuantStudio 7 Flex using primers specific for each mRNA and iTaq SYBR Green Supermix. The relative expression levels of target genes were normalized to that of the reference genes RPL27, RPL13A or GAPDH by using the delta-delta-Ct method (Livak and Schmittgen, 2001) after confirming equivalent amplification efficiencies of reference and target molecules. Primer sequences are listed in Supplementary file 4.

Antibodies

The following antibodies were used: α-Tubulin (T9026); Acetyl-Histone H4 (06–866 lot#2554112, EMD Millipore (Billerica, MA)); CHD4 (A301-081A, Bethyl Laboratories (Montgomery, TX)); FITC anti-mouse (715-095-150 lot#115855, Jackson ImmunoResearch (West Grove, PA)); FLAG M2 (F1804 lot#SLBG5673V and lot#124K6106); FLAG M2 (F3165 lot#SLBL1237V); HDAC2 (ab7029, lot#GR88809-7, Abcam (Cambridge, UK)); HRP anti-mouse (115-035-146, Jackson ImmunoResearch); MBD2 (A301-632A, Bethyl); mouse IgG (315-005-003 lot#120058, Jackson ImmunoResearch); MTA2 (ab8106 lot#GR185489-3, Abcam); TRITC anti-rabbit (711-025-152 lot#114768, Jackson ImmunoResearch); rabbit monoclonal antibodies against DUX4 (E5-5 and E14-3) were produced in collaboration with Epitomics and are described elsewhere (Geng et al., 2012).

Statistical analysis

Request a detailed protocol

All collected data were included in the analyses. Statistical significance was determined using Mann-Whitney U or Wilcoxon signed-rank tests, as indicated in the corresponding figure legends. As is convention, at least three biological replicates per condition were used for ChIP-qPCR and RT-qPCR, as indicated. Here a biological replicate is defined as an independent culture of cells that was separately manipulated and subsequently analyzed. The enChIP-MS studies were multiple singleton experiments performed using several different gRNA that targeted the same genomic locus, as described. No statistical methods were used to predetermine sample size. Masking was not used during group allocation, data collection or data analysis.

Accession codes

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The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository (Vizcaíno et al., 2016) with the dataset identifier PXD006839.

Data availability

The following data sets were generated

References

    1. Birney E
    2. Stamatoyannopoulos JA
    3. Dutta A
    4. Guigó R
    5. Gingeras TR
    6. Margulies EH
    7. Weng Z
    8. Snyder M
    9. Dermitzakis ET
    10. Thurman RE
    11. Kuehn MS
    12. Taylor CM
    13. Neph S
    14. Koch CM
    15. Asthana S
    16. Malhotra A
    17. Adzhubei I
    18. Greenbaum JA
    19. Andrews RM
    20. Flicek P
    21. Boyle PJ
    22. Cao H
    23. Carter NP
    24. Clelland GK
    25. Davis S
    26. Day N
    27. Dhami P
    28. Dillon SC
    29. Dorschner MO
    30. Fiegler H
    31. Giresi PG
    32. Goldy J
    33. Hawrylycz M
    34. Haydock A
    35. Humbert R
    36. James KD
    37. Johnson BE
    38. Johnson EM
    39. Frum TT
    40. Rosenzweig ER
    41. Karnani N
    42. Lee K
    43. Lefebvre GC
    44. Navas PA
    45. Neri F
    46. Parker SC
    47. Sabo PJ
    48. Sandstrom R
    49. Shafer A
    50. Vetrie D
    51. Weaver M
    52. Wilcox S
    53. Yu M
    54. Collins FS
    55. Dekker J
    56. Lieb JD
    57. Tullius TD
    58. Crawford GE
    59. Sunyaev S
    60. Noble WS
    61. Dunham I
    62. Denoeud F
    63. Reymond A
    64. Kapranov P
    65. Rozowsky J
    66. Zheng D
    67. Castelo R
    68. Frankish A
    69. Harrow J
    70. Ghosh S
    71. Sandelin A
    72. Hofacker IL
    73. Baertsch R
    74. Keefe D
    75. Dike S
    76. Cheng J
    77. Hirsch HA
    78. Sekinger EA
    79. Lagarde J
    80. Abril JF
    81. Shahab A
    82. Flamm C
    83. Fried C
    84. Hackermüller J
    85. Hertel J
    86. Lindemeyer M
    87. Missal K
    88. Tanzer A
    89. Washietl S
    90. Korbel J
    91. Emanuelsson O
    92. Pedersen JS
    93. Holroyd N
    94. Taylor R
    95. Swarbreck D
    96. Matthews N
    97. Dickson MC
    98. Thomas DJ
    99. Weirauch MT
    100. Gilbert J
    101. Drenkow J
    102. Bell I
    103. Zhao X
    104. Srinivasan KG
    105. Sung WK
    106. Ooi HS
    107. Chiu KP
    108. Foissac S
    109. Alioto T
    110. Brent M
    111. Pachter L
    112. Tress ML
    113. Valencia A
    114. Choo SW
    115. Choo CY
    116. Ucla C
    117. Manzano C
    118. Wyss C
    119. Cheung E
    120. Clark TG
    121. Brown JB
    122. Ganesh M
    123. Patel S
    124. Tammana H
    125. Chrast J
    126. Henrichsen CN
    127. Kai C
    128. Kawai J
    129. Nagalakshmi U
    130. Wu J
    131. Lian Z
    132. Lian J
    133. Newburger P
    134. Zhang X
    135. Bickel P
    136. Mattick JS
    137. Carninci P
    138. Hayashizaki Y
    139. Weissman S
    140. Hubbard T
    141. Myers RM
    142. Rogers J
    143. Stadler PF
    144. Lowe TM
    145. Wei CL
    146. Ruan Y
    147. Struhl K
    148. Gerstein M
    149. Antonarakis SE
    150. Fu Y
    151. Green ED
    152. Karaöz U
    153. Siepel A
    154. Taylor J
    155. Liefer LA
    156. Wetterstrand KA
    157. Good PJ
    158. Feingold EA
    159. Guyer MS
    160. Cooper GM
    161. Asimenos G
    162. Dewey CN
    163. Hou M
    164. Nikolaev S
    165. Montoya-Burgos JI
    166. Löytynoja A
    167. Whelan S
    168. Pardi F
    169. Massingham T
    170. Huang H
    171. Zhang NR
    172. Holmes I
    173. Mullikin JC
    174. Ureta-Vidal A
    175. Paten B
    176. Seringhaus M
    177. Church D
    178. Rosenbloom K
    179. Kent WJ
    180. Stone EA
    181. Batzoglou S
    182. Goldman N
    183. Hardison RC
    184. Haussler D
    185. Miller W
    186. Sidow A
    187. Trinklein ND
    188. Zhang ZD
    189. Barrera L
    190. Stuart R
    191. King DC
    192. Ameur A
    193. Enroth S
    194. Bieda MC
    195. Kim J
    196. Bhinge AA
    197. Jiang N
    198. Liu J
    199. Yao F
    200. Vega VB
    201. Lee CW
    202. Ng P
    203. Shahab A
    204. Yang A
    205. Moqtaderi Z
    206. Zhu Z
    207. Xu X
    208. Squazzo S
    209. Oberley MJ
    210. Inman D
    211. Singer MA
    212. Richmond TA
    213. Munn KJ
    214. Rada-Iglesias A
    215. Wallerman O
    216. Komorowski J
    217. Fowler JC
    218. Couttet P
    219. Bruce AW
    220. Dovey OM
    221. Ellis PD
    222. Langford CF
    223. Nix DA
    224. Euskirchen G
    225. Hartman S
    226. Urban AE
    227. Kraus P
    228. Van Calcar S
    229. Heintzman N
    230. Kim TH
    231. Wang K
    232. Qu C
    233. Hon G
    234. Luna R
    235. Glass CK
    236. Rosenfeld MG
    237. Aldred SF
    238. Cooper SJ
    239. Halees A
    240. Lin JM
    241. Shulha HP
    242. Zhang X
    243. Xu M
    244. Haidar JN
    245. Yu Y
    246. Ruan Y
    247. Iyer VR
    248. Green RD
    249. Wadelius C
    250. Farnham PJ
    251. Ren B
    252. Harte RA
    253. Hinrichs AS
    254. Trumbower H
    255. Clawson H
    256. Hillman-Jackson J
    257. Zweig AS
    258. Smith K
    259. Thakkapallayil A
    260. Barber G
    261. Kuhn RM
    262. Karolchik D
    263. Armengol L
    264. Bird CP
    265. de Bakker PI
    266. Kern AD
    267. Lopez-Bigas N
    268. Martin JD
    269. Stranger BE
    270. Woodroffe A
    271. Davydov E
    272. Dimas A
    273. Eyras E
    274. Hallgrímsdóttir IB
    275. Huppert J
    276. Zody MC
    277. Abecasis GR
    278. Estivill X
    279. Bouffard GG
    280. Guan X
    281. Hansen NF
    282. Idol JR
    283. Maduro VV
    284. Maskeri B
    285. McDowell JC
    286. Park M
    287. Thomas PJ
    288. Young AC
    289. Blakesley RW
    290. Muzny DM
    291. Sodergren E
    292. Wheeler DA
    293. Worley KC
    294. Jiang H
    295. Weinstock GM
    296. Gibbs RA
    297. Graves T
    298. Fulton R
    299. Mardis ER
    300. Wilson RK
    301. Clamp M
    302. Cuff J
    303. Gnerre S
    304. Jaffe DB
    305. Chang JL
    306. Lindblad-Toh K
    307. Lander ES
    308. Koriabine M
    309. Nefedov M
    310. Osoegawa K
    311. Yoshinaga Y
    312. Zhu B
    313. de Jong PJ
    314. ENCODE Project Consortium
    315. NISC Comparative Sequencing Program
    316. Baylor College of Medicine Human Genome Sequencing Center
    317. Washington University Genome Sequencing Center
    318. Broad Institute
    319. Children's Hospital Oakland Research Institute
    (2007) Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project
    Nature 447:799–816.
    https://doi.org/10.1038/nature05874

Article and author information

Author details

  1. Amy E Campbell

    Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, United States
    Contribution
    Conceptualization, Data curation, Formal analysis, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing—original draft, Project administration, Writing—review and editing
    For correspondence
    acampbel@fredhutch.org
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6513-5836

  2. Sean C Shadle

    1. Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, United States
    2. Molecular and Cellular Biology Program, University of Washington, Seattle, United States
    Contribution
    Conceptualization, Funding acquisition, Validation, Investigation, Methodology, Writing—review and editing
    Competing interests
    No competing interests declared

  3. Sujatha Jagannathan

    1. Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, United States
    2. Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, United States
    3. Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, United States
    Present address
    Department of Biochemistry and Molecular Genetics, RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, United States
    Contribution
    Resources, Data curation, Software, Formal analysis, Funding acquisition, Writing—review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9039-2631

  4. Jong-Won Lim

    Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, United States
    Contribution
    Resources, Methodology, Writing—review and editing
    Competing interests
    No competing interests declared

  5. Rebecca Resnick

    1. Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, United States
    2. Molecular and Cellular Biology Program, University of Washington, Seattle, United States
    3. Medical Scientist Training Program, University of Washington, Seattle, United States
    Contribution
    Funding acquisition, Investigation, Writing—review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5804-4418

  6. Rabi Tawil

    Department of Neurology, University of Rochester Medical Center, Rochester, United States
    Contribution
    Resources, Funding acquisition, Writing—review and editing
    Competing interests
    No competing interests declared

  7. Silvère M van der Maarel

    Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
    Contribution
    Resources, Funding acquisition, Writing—review and editing
    Competing interests
    No competing interests declared

  8. Stephen J Tapscott

    1. Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, United States
    2. Department of Neurology, University of Washington, Seattle, United States
    Contribution
    Conceptualization, Supervision, Funding acquisition, Writing—original draft, Project administration, Writing—review and editing
    For correspondence
    stapscot@fredhutch.org
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0319-0968

Funding

National Cancer Institute (T32CA009657)

  • Amy E Campbell

National Human Genome Research Institute (T32HG00035)

  • Sean C Shadle

National Institute of General Medical Sciences (T32GM007270)

  • Sean C Shadle

FSH Society (FSHS-22014-01)

  • Sujatha Jagannathan

National Human Genome Research Institute (T32HG000035)

  • Rebecca Resnick

Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007183)

  • Rebecca Resnick

National Institute of Neurological Disorders and Stroke (P01NS069539)

  • Rabi Tawil
  • Silvère M van der Maarel
  • Stephen J Tapscott

Prinses Beatrix Spierfonds (W.OP14-01)

  • Silvère M van der Maarel

Spieren voor Spieren

  • Silvère M van der Maarel

National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR066248)

  • Silvère M van der Maarel
  • Stephen J Tapscott

National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR045203)

  • Stephen J Tapscott

Friends of FSH Research

  • Stephen J Tapscott

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

Acknowledgements

The authors thank Phil Gafken and Yuko Ogata of the Fred Hutchinson Cancer Research Center Proteomics Shared Resource for their assistance in planning and executing the enChIP-MS. We would also like to acknowledge the members of the Tapscott lab for helpful discussion throughout the project.

Copyright

© 2018, Campbell et al.

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

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  1. Amy E Campbell
  2. Sean C Shadle
  3. Sujatha Jagannathan
  4. Jong-Won Lim
  5. Rebecca Resnick
  6. Rabi Tawil
  7. Silvère M van der Maarel
  8. Stephen J Tapscott
(2018)
NuRD and CAF-1-mediated silencing of the D4Z4 array is modulated by DUX4-induced MBD3L proteins
eLife 7:e31023.
https://doi.org/10.7554/eLife.31023

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