A histone H3K9M mutation traps histone methyltransferase Clr4 to prevent heterochromatin spreading

  1. Chun-Min Shan
  2. Jiyong Wang
  3. Ke Xu
  4. Huijie Chen
  5. Jia-Xing Yue
  6. Stuart Andrews
  7. James J Moresco
  8. John R Yates III
  9. Peter L Nagy
  10. Liang Tong  Is a corresponding author
  11. Songtao Jia  Is a corresponding author
  1. Columbia University, United States
  2. Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR 7284, INSERM U1081, France
  3. Scripps Research Institute, United States

Abstract

Histone lysine-to-methionine (K-to-M) mutations are associated with multiple cancers, and they function in a dominant fashion to block the methylation of corresponding lysines on wild type histones. However, their mechanisms of function are controversial. Here we show that in fission yeast, introducing the K9M mutation into one of the three histone H3 genes dominantly blocks H3K9 methylation on wild type H3 across the genome. In addition, H3K9M enhances the interaction of histone H3 tail with the H3K9 methyltransferase Clr4 in a SAM (S-adenosyl-methionine)-dependent manner, and Clr4 is trapped at nucleation sites to prevent its spreading and the formation of large heterochromatin domains. We further determined the crystal structure of an H3K9M peptide in complex with human H3K9 methyltransferase G9a and SAM, which reveales that the methionine side chain had enhanced van der Waals interactions with G9a. Therefore, our results provide a detailed mechanism by which H3K9M regulates H3K9 methylation.

https://doi.org/10.7554/eLife.17903.001

eLife digest

Cells switch their genes on or off in order to respond to changes in their environment. A group of proteins called histones are partly responsible for regulating gene activity. Like all proteins, histones are made from smaller building blocks called amino acids. Enzymes can chemically modify specific amino acids in histone proteins, which allows the histones to switch nearby genes on or off. One of these modifications is called methylation, and the methylation of specific “lysine” amino acids in histone proteins regulates gene activity in different ways.

Previous research has shown that, in certain types of cancer cells, lysines that can be methylated are often replaced with another amino acid, a methionine. These substitutions stop the histones from correctly controlling the activity of nearby genes because methionine cannot be methylated like lysine. Additionally, even if only a small number of histones have methionine in place of lysine, this change can have a widespread effect because the few histones with the methionine can block other histones from being methylated too. However, previous studies did not provide a clear mechanism for why this is the case.

In the fission yeast Schizosaccharomyces pombe an enzyme called Clr4 methylates a histone protein at a lysine named H3K9. Now, Shan, Wang, Xu et al. show that substituting this lysine with a methionine (referred to as H3K9M) stops the widespread methylation of histones by trapping the Clr4 enzyme. Specifically, Clr4 becomes stuck to the H3K9M histones, and is therefore unable to modify any other histones. Shan et al. went on to carry out a more detailed study of the structure of H3K9M attached to another enzyme called G9a. This enzyme is found in human cells and is similarly inhibited by H3K9M. This investigation identified additional chemical interactions that explain why Clr4 and G9a become trapped by the H3K9M histone but not by normal histones.

Future studies are needed to explore whether other altered histones are able to trap enzymes in the way that H3K9M traps Clr4 and G9a. In addition, this work could eventually lead to new cancer therapies.

https://doi.org/10.7554/eLife.17903.002

Introduction

Residue-specific posttranslational modifications of histones play essential roles in every aspect of DNA metabolism such as transcription, DNA replication, recombination, and DNA damage repair (Lee et al., 2010). Among these modifications, lysine methylation is the most intriguing due to its remarkable specificity (Greer and Shi, 2012). For example, methylation of histone H3 lysine 9 (H3K9me) is critical for the assembly of constitutive heterochromatin at repetitive DNA elements, and H3K27me is essential for the formation of facultative heterochromatin at developmentally regulated genes. The methylation is controlled by specific histone methyltransferases and histone demethylases, mutations of which have been associated with many human diseases (Greer and Shi, 2012; Herz et al., 2013). In comparison, histone genes are not prime suspects for disease-associated mutations, as their high copy number masks the effects of any recessive changes. However, recent high throughput sequencing analyses identified a high incidence of somatic mutations of critical histone lysines into methionine (K-to-M) in multiple cancers (Schwartzentruber et al., 2012; Sturm et al., 2012; Wu et al., 2012; Behjati et al., 2013; Shah et al., 2014). The most prominent examples include the association of a K27M mutation in H3.3 (a variant form of H3) with pediatric high-grade glioblastoma, a highly aggressive brain tumor, and the association of a K36M mutation in H3.3 with chondroblastoma, a tumor of the bone. The high frequency of such mutations indicates that they are driver mutations of tumorigenesis.

The role of histone K-to-M mutations in cancer is under intense investigation, but the mechanism is not well understood and controversial. For example, cells containing H3.3K27M show reduced H3K27 trimethylation (H3K27me3) levels on wild type histones, and an H3K27M peptide inhibits polycomb repressive complex 2 (PRC2)-mediated H3K27 methylation in vitro, suggesting that these mutations function as inhibitors of H3K27 methyltransferases (Bender et al., 2013; Chan et al., 2013a; Lewis et al., 2013; Venneti et al., 2013). However, ChIP-seq analyses of cancer cells containing H3.3K27M show that in addition to a global reduction of H3K27me3, a large number of ectopic H3K27me3 peaks are also detected, arguing against a simple inhibitory model (Bender et al., 2013; Chan et al., 2013a).

Other histone K-to-M mutations also dominantly block the methylation of their corresponding lysine residues (Chan et al., 2013b; Lewis et al., 2013; Herz et al., 2014; Lu et al., 2016; Fang et al., 2016), suggesting a similar mechanism of function. Interestingly, mass spectrometry analyses of H3K9M-containing nucleosomes purified from human cells show increased association of an H3K9 demethylase KDM3B, suggesting that recruitment of a demethylase contributes to the effects of H3K9M on H3K9 methylation (Herz et al., 2014).

One of the difficulties in reconciling these results is the complication of the mammalian system. First, there are multiple copies of genes encoding histone H3 and H3.3 (Maze et al., 2014), but it is not clear whether each gene is equivalent in its expression profile. Second, there are multiple methyltransferases that modify each lysine (Greer and Shi, 2012), and they are differentially inhibited by K-to-M mutations (Fang et al., 2016).

Another difficulty in studying the mechanism of histone K-to-M mutations is the paucity of structural data that explains how the methionine substitution functions to inhibit histone methyltransferases. There are two recent structures of an H3K27M peptide in association with the H3K27 methyltransferase PRC2, which give conflicting interaction details. The structure of Chaetomium thermophilum PRC2 reveals that an arginine residue (R26) adjacent to H3K27M occupies the expected lysine-binding channel (Jiao and Liu, 2015), whereas the structure of human PRC2 indicates that the methionine side chain occupies this channel (Justin et al., 2016). There is currently no structure that examines the interaction between other K-to-M mutations and their corresponding histone methyltransferases.

The fission yeast Schizosaccharomyces pombe shares highly conserved chromatin modification pathways with mammals, but has key advantages such as relatively facile genetics and single representatives of most key families of mammalian chromatin-modifying factors (Wood et al., 2002). For example, a single histone H3K9 methyltransferase Clr4 is critical for H3K9me across the entire genome and regulates the assembly of heterochromatin (Rea et al., 2000; Nakayama et al., 2001; Cam et al., 2005). Moreover, there are only three copies of histone H3 genes with identical protein sequences (Mellone et al., 2003). The simplicity of the fission yeast system allows us to demonstrate that H3K9M blocks H3K9 methylation through trapping of Clr4 at heterochromatin nucleation centers to prevent its spreading. In addition, H3K9M interacts directly with Clr4 and the interaction is dramatically enhanced by S-adenosylmethionine (SAM), the methyl donor for histone methyltransferases. Moreover, we determined a high-resolution crystal structure of H3K9M in complex with an H3K9 methyltransferase G9a and SAM, which provides a detailed mechanism for the role of methionine in trapping histone methyltransferases. These results provide clear mechanistic insights of histone H3K9M in regulating H3K9me levels.

Results

H3K9M dominantly blocks H3K9 methylation and heterochromatin assembly

Fission yeast contains three histone H3 genes: hht1+, hht2+, and hht3+, which produce identical proteins (Mellone et al., 2003). We generated Flag-tagged versions of each of these genes at their endogenous chromosomal loci. Western blot analyses showed that the three proteins were expressed at similar levels (Figure 1—figure supplement 1). We then introduced the K9M mutation into each histone H3 gene at its endogenous chromosome locus. The three mutant histone H3s were also expressed at similar levels (Figure 1—figure supplement 1).

In fission yeast, heterochromatin is mainly present at pericentric region, subtelomeres, and the silent mating-type region, which all contain a similar repetitive DNA element (Grewal and Jia, 2007). These regions contain high levels of histone H3K9 methylation and the transcription of the underlying repeats is repressed. Reporter genes inserted within these repeats, such as otr::ura4+ inserted at the dh repeat of pericentric region and Kint2::ura4+ inserted at the cenH repeat of the mating-type region (Figure 1A) (Allshire et al., 1995; Grewal and Klar, 1997), are silenced, resulting in cells that only grow weakly on medium without uracil. These cells grow well on medium containing 5-fluoroorotic acid (FOA), which is converted to a toxic form (5-flurouracil) in cells expressing ura4+ (Figure 1B, and Figure 1—figure supplement 2). Loss of heterochromatin, such as in clr4∆, results in the expression of these reporters and robust cell growth on medium without uracil and decreased growth on FOA-containing medium. Introducing a K9M mutation into any H3 gene resulted in silencing defects similar to that of clr4∆, even though there were two other wild type histone H3 genes present (Figure 1B, and Figure 1—figure supplement 2). Therefore, we used only hht3-K9M for all subsequent analyses. In contrast, an hht3-K9R mutation (which is expected to abolish methylation of lysine 9 only on Hht3) had little effect on gene silencing (Figure 1—figure supplement 2), suggesting that the effect of H3K9M is specific.

Figure 1 with 3 supplements see all
H3K9M affects H3K9me and heterochromatin assembly.

(A) Schematic diagrams of reporter genes used. Red bars indicate primers used for ChIP-qPCR and qRT-PCR analyses. (B) Left, ten-fold serial dilution analyses of indicated yeast strains grown on indicated media to measure the expression of otr::ura4+. Right, ChIP analyses of H3K9me3 and H3K9me2 levels at heterochromatin-associated repeats, normalized to act1+, and qRT-PCR analysis of repeat transcript levels, normalized to act1+. Data presented is mean ± s.d. of four technical repeats. (C) ChIP-seq analysis of H3K9me3 levels across the genome. Data presented is average of two sequencing runs.

https://doi.org/10.7554/eLife.17903.003

ChIP analyses showed that H3K9me3 levels were abolished and H3K9me2 levels were significantly reduced at the heterochromatic dh and cenH repeats (Figure 1B). Moreover, transcripts of these repeats were dramatically increased (Figure 1B). Further ChIP-seq analyses showed that H3K9me3 was reduced to background levels across the entire genome, similar to clr4∆ (Figure 1C and Figure 1—figure supplement 3). Unlike the presence of additional H3K27me3 peaks in H3.3K27M containing mammalian cells (Bender et al., 2013; Chan et al., 2013a), we did not detect any additional peaks of H3K9me3 in hht3-K9M cells. Therefore, H3K9M functions dominant-negatively to regulate H3K9 methylation across the genome.

H3K9M blocks the enzymatic activity of Clr4

It has been shown that an H3K27M peptide inhibits the enzymatic activity of the H3K27 methyltransferase PRC2 in vitro (Lewis et al., 2013). To examine whether H3K9M also similarly inhibits the enzymatic activity of Clr4, we performed in vitro histone methyltransferase assays using a recombinant Clr4 SET domain (amino acids 190–490), recombinant mono-nucleosomes, and 3H labelled S-adenosylmethionine (SAM). The incorporation of radioactively labelled methyl group into histone H3 was significantly reduced in the presence of an H3K9M peptide, suggesting that H3K9M directly inhibits the enzymatic activity of Clr4 in vitro (Figure 2A).

Figure 2 with 2 supplements see all
H3K9M traps Clr4 at nucleation centers to prevent heterochromatin spreading.

(A) In vitro histone methyltransferase assay with recombinant Clr4 SET domain and recombinant nucleosomes. (B) Top, a schematic diagram of the 3xgbs-ade6+ reporter. Left, ten-fold serial dilution analyses of indicated yeast strains grown on low adenine media (YE) to measure the expression of 3xgbs-ade6+. Right, ChIP analyses of H3K9me3 levels at 3xgbs, normalized to act1+. Data presented is mean ± s.d. of four technical replicates. (C) ChIP analysis of Clr4 levels at heterochromatin associated repeats, normalized to act1+. Data presented is mean ± s.d. of four technical replicates. (D) Western blot analysis of Flag-Clr4 protein levels. (E) Live cell imaging of cells expressing GFP-Clr4. Scale bar is 1 μm. (F) Top, a schematic diagram of the mating type region, with shaded area representing heterochromatin. The PCR fragments used for qPCR analyses are labeled. Bottom, ChIP analysis of Flag-Clr4, H3K9me3, and H3K9me2 levels across the mating type region, normalized to act1+. Data presented is mean ± s.d. of four technical replicates.

https://doi.org/10.7554/eLife.17903.007

To test the inhibitory effects of H3K9M in vivo, we used an ade6+ reporter that is adjacent to 3 copies of Gal4-binding sites (3xgbs-ade6+). In wild type cells, the reporter gene is expressed, resulting in the formation of white colonies on low adenine medium (YE). In contrast, artificially targeting Clr4 through a Gal4 DNA binding domain silences the reporter, resulting in red colonies (Kagansky et al., 2009). In hht3-K9M cells, the reporter gene was not silenced and no H3K9me3 was detected (Figure 2B and Figure 2—figure supplement 1), suggesting that H3K9M inhibits the enzymatic activity of Clr4 in vivo.

H3K9M traps Clr4 at heterochromatin nucleation centers and prevents Clr4 spreading

Surprisingly, ChIP analyses showed that Clr4 protein levels were much higher at dh and cenH repeats in hht3-K9M cells (Figure 2C), even though overall Clr4 protein levels were unchanged (Figure 2D). Consistently, live-cell imaging analyses showed stronger GFP-Clr4 foci in hht3-K9M cells (Figure 2E). These results suggest that hht3-K9M does not affect the targeting of Clr4 to chromatin, but instead traps Clr4 at heterochromatic locations.

Heterochromatin formation is divided into two distinct steps: initiation and spreading (Wang et al., 2014). First, Clr4 is recruited to nucleation centers to initiate H3K9me. H3K9me recruits additional Clr4, through the chromo domain of Clr4 and Swi6 proteins, leading to methylation of adjacent nucleosomes (Hall et al., 2002; Zhang et al., 2008a; Al-Sady et al., 2013). The repetition of such cycles promotes heterochromatin spreading across large chromosome domains. Both dh and cenH, which showed higher levels of Clr4, are heterochromatin nucleation centers (Hall et al., 2002). To investigate the effects of H3K9M on heterochromatin spreading, we measured Clr4, H3K9me3, and H3K9me2 levels at the silent mating-type region, which has been extensively used to examine heterochromatin initiation and spreading (Hall et al., 2002). At this region, cenH recruits Clr4, which then spreads into a 20 kb domain that are marked by two inverted repeats (IRL and IRR) (Figure 2F). We found that in hht3-K9M cells, Clr4 was highly enriched at cenH, but not at the surrounding regions (Figure 2F). Furthermore, H3K9me3 was completely abolished across the entire locus, whereas low levels of H3K9me2 were restricted to cenH (Figure 2F). Therefore, H3K9M traps Clr4 at nucleation centers and prevents its spreading into neighboring regions.

Heterochromatin at the silent mating-type locus is essential for the correct choice of donors during mating-type switching, when heterochromatin-embedded mat2P or mat3M are used as a donor to replace the DNA sequence at mat1 (Jia et al., 2004) (Figure 2—figure supplement 2A). Loss of heterochromatin leads to the predominant use of mat3M as a donor, the accumulation of the M mating type within a switching competent population, and reduced mating efficiency (indicated by lightly iodine-stained colonies on medium that induces mating and meiosis) (Jia et al., 2004) (Figure 2—figure supplement 2B and C). As expected, hht3-K9M cells were predominantly of the M mating type and formed lightly iodine-stained colonies similar to clr4∆ cells (Figure 2—figure supplement 2B and C).

H3K9M enhances binding of Clr4 SET domain to histone H3 tail in a SAM-dependent manner

One possible reason for the increased levels of Clr4 at heterochromatin nucleation centers is that Clr4 has a higher affinity for H3K9M. However, the fact that H3K9M-containing nucleosomes outside of heterochromatin failed to trap Clr4 suggests that the interaction between Clr4 and H3K9M is regulated. Clr4 contains a catalytic SET domain as well as a chromo domain that interacts with H3K9me. We found that the chromo domain of Clr4 (1–190) interacted with an H3K9me3 peptide and to a lesser extent with an H3K9me2 peptide, but showed no interaction with the H3K9M peptide (Figure 3A). In addition, none of the other H3K9me-interacting chromo domains in fission yeast, including Swi6, Chp2, and Chp1 (Sadaie et al., 2008; Schalch et al., 2009), interacted with the H3K9M peptide (Figure 3—figure supplement 1). Interestingly, the SET domain of Clr4 (190–490) showed stronger interaction with an H3K9M peptide than a wild type histone H3 tail peptide in a histone methyltransferase buffer (50 mM Tris, pH 8.0, 1 mM EDTA, 50 mM NaCl, 1 mM DTT) supplemented with 100 μM SAM (Figure 3B). In addition, such interaction was significantly reduced in the absence of SAM (Figure 3B). The binding is not covalent as Clr4 was removed under stringent washing conditions (data not shown). Moreover, the binding is significantly reduced when S-adenosyl-homocysteine (SAH) was used in place of SAM (Figure 3C). Furthermore, the SET domain of human H3K9 methyltransferase G9a, which is inhibited by H3K9M in vitro (Lewis et al., 2013), also showed stronger binding to the H3K9M peptide than the wild type H3 tail peptide in the presence of SAM (Figure 3D), suggesting a similar binding mechanism.

Figure 3 with 2 supplements see all
H3K9M interacts directly with H3K9 methyltransferases.

(A) Binding assays with recombinant Clr4 chromo domain and histone peptides in PBS buffer. (B, C) Binding assays with recombinant Clr4 SET domain and histone peptides in histone methyltransferase buffer supplemented with SAM or SAH. (D) Binding assays with recombinant G9a SET domain and histone peptides in histone methyltransferase buffer supplemented with SAM.

https://doi.org/10.7554/eLife.17903.010

The binding data suggests that H3K9M exerts its effects through the SET domain of Clr4. To rule out the contribution of the chromo domain of Clr4 to the trapping of Clr4 by H3K9M in vivo, we generated a W31G mutation within the chromo domain, which abolishes its interaction with H3K9me3, but does not affect the enzymatic activity of Clr4 in vitro (Nakayama et al., 2001; Zhang et al., 2008a). Similar to previous observations, introducing the W31G mutation at the endogenous clr4+ locus resulted in a severe reduction of H3K9me3, but had little effects on H3K9me2 at cenH, the heterochromatin nucleation center of the silent mating-type region (Figure 3—figure supplement 2A) (Al-Sady et al., 2013). The localization of Clr4 to cenH was severely reduced in clr4-W31G cells, due to the dependence of H3K9me3 for the stable association of Clr4 with heterochromatin (Figure 3—figure supplement 2B) (Zhang et al., 2008a). Consistent with the idea that H3K9M exerts its effects through the Clr4 SET domain, Clr4-W31G showed enhanced localization at cenH in hht3-K9M cells (Figure 3—figure supplement 2C).

Structure of H3K9M in complex with H3K9 methyltransferase G9a and SAM

To understand the molecular details for the interactions between H3K9M and its methyltransferases, we determined a 1.7 Å resolution crystal structure of G9a SET domain in complex with an H3K9M peptide (ARTKQTARMSTGGKA) and SAM (Supplementary file 1). Clear electron density was observed for residues 3–12 of the peptide based on the crystallographic analysis (Figure 4A). We did not include additional SAM during purification and crystallization, but a SAM molecule was observed in the electron density (Figure 4B), which was likely copurified with the G9a SET domain from E. coli lysates.

Figure 4 with 3 supplements see all
Structure of the H3K9M-G9a-SAM complex.

(A) Omit Fo–Fc electron density at 1.7 Å resolution for the H3K9M peptide, contoured at 3σ. (B) Omit Fo–Fc electron density at 1.7 Å resolution for SAM, contoured at 3σ. (C) Overall structure of G9a (cyan) in complex with the H3K9M peptide (green, stick models) and SAM (magenta). Several zinc ions bound to the protein are shown as pink spheres. The bound position of dimethylated H3K9 peptide to GLP1 is also shown (gray). (D) Detailed interactions between G9a (cyan) and the H3K9M peptide (green) near Met9. The structure of GLP1 in complex with the dimethylated H3K9 (Mly9) peptide and SAH is also shown (gray).

https://doi.org/10.7554/eLife.17903.013

Compared with the structure of another H3K9 methyltransferase G9a-like protein 1 (GLP1) in complex with a dimethylated H3K9 peptide and SAH (Wu et al., 2010), the binding mode of the H3K9M peptide to G9a is essentially identical (Figure 4C and D). The methionine residue of H3K9M occupies the same binding pocket as the dimethylated lysine residue (Figure 4D). Five aromatic residues, Tyr1067, Tyr1087, Phe1152, Tyr1154 and Phe1158 surround the methionine side chain. While the dimethylated Lys side chain assumes a fully extended conformation, there is a sharp bend at the sulfur atom of methionine, such that its end methyl group is in closer contact with Tyr1067 and the sulfur is in closer contact with Phe1152 and Tyr1154. The methionine side chain does not extend as deeply into the pocket, and the SAM compound at the bottom of the pocket moves closer to the side chain, by ~0.8 Å compared to the position of SAH in GLP1. SAM does not make direct contributions to the interactions with the methionine side chain, suggesting that its role is to stabilize the structure of the protein. Interestingly, the methyl group of SAM is 3.4 Å away from the side chain of Tyr1154, which is part of the conformational change to stabilize the peptide-binding pocket. In contrast, the G9a-SAH structure does not have this interaction (Wu et al., 2010).

It has been demonstrated that the hydrophobicity of the side chain is critical for H3K27M to inhibit PRC2, and changing methionine to norleucine produces a more potent inhibitor (Lewis et al., 2013; Brown et al., 2014). To further understand the contribution of the aliphatic side chain to the interaction between H3K9M and G9a, we performed binding assays with an H3K9-norleucine (H3K9Nle) peptide. We found that H3K9Nle also enhanced binding of the H3 tail peptide to G9a similar to H3K9M (data not shown). We also solved a 1.9Å structure of G9a in complex with an H3K9Nle peptide and SAM (Figure 4—figure supplement 1). The structure showed that the norleucine side chain adopts a similar orientation as the methionine side chain, with a bend of the end methyl group (Figure 4—figure supplement 1).

To characterize the importance of residues in the binding site for the interactions with the H3K9M peptide, we mutated Tyr451 of Clr4, which is equivalent to Tyr1154 of G9a, to asparagine (Figure 4—figure supplement 2). Consistent with our expectations, the binding of Clr4-SET-Y451N to the H3K9M peptide was significantly reduced (Figure 4—figure supplement 3A). We then introduced the Y451N mutation into the endogenous clr4+ locus. The mutant protein was expressed at similar levels as that of wild-type Clr4 and mass spectrometry analysis showed efficient association with other components of the Clr4 complex (Hong et al., 2005; Horn et al., 2005; Jia et al., 2005) (Figure 4—figure supplement 3B and C). The localization of Clr4-Y451N to pericentric dh repeats was completely abolished, and no trapping of Clr4 was observed in hht3-K9M cells (data not shown). The complete loss of localization of Clr4-Y451N to dh repeats is due to the positive feedback mechanism between H3K9 methylation and Clr4 localization (Zhang et al., 2008a), as the Y451N mutation cannot methylate histones in vitro and in vivo (Figure 4—figure supplement 3D and E). Therefore, although the Y451N mutant demonstrates the critical role of this residue in mediating interaction with H3K9M in vitro, it cannot distinguish in vivo the contribution of its being catalytically inactive or inability to bind H3K9M. We have also mutated two other residues of Clr4 that are expected to interact with H3K9M, Y357N and F383N. However, both of them behaved similarly as Y451N, with complete loss of enzymatic activity in vitro and in vivo, but associated efficiently with other components of the Clr4 complex (data not shown).

Alleviating Clr4 trapping overcomes the inhibitory effects of H3K9M

Given that the aromatic residues interacting with the methionine side chain are also required for interaction with the normal lysine substrate, it is not surprising that mutating these residues affected Clr4 enzymatic activity. We therefore explored other ways to relieve trapping of Clr4 by H3K9M. The enzymatic activity of Clr4 in vitro is influenced by modifications of residues adjacent to H3K9 such as phosphorylation of serine 10 (Nakayama et al., 2001). We suspected that phosphorylated S10 might interfere with the binding of Clr4 with H3K9M peptide. Indeed, in vitro binding of Clr4 SET domain was significantly reduced when an H3K9M peptide containing phosphorylated S10 was used (Figure 5A). In addition, the in vitro binding of Clr4 to an H3K9MS10D peptide (to mimic the phosphorylated state of S10) was also dramatically reduced (Figure 5A).

Figure 5 with 1 supplement see all
Reduced binding between H3K9M and Clr4 alleviates its inhibitory effects.

(A) Binding assays with recombinant Clr4 SET domain and histone peptides in histone methyltrasnferase buffer containing SAM. (B) Western blot analyses of histone H3 and Clr4 levels. (C) ChIP analysis of Clr4 levels at heterochromatin associated repeats, normalized to act1+. Data presented is mean ± s.d. of four technical repeats. (D) Left, ten-fold serial dilution analyses of indicated yeast strains grown on indicated media to measure the expression of otr::ura4+. Right, ChIP analyses of H3K9me3 and H3K9me2 levels at heterochromatin-associated repeats, normalized to act1+, and qRT-PCR analysis of repeat transcript levels, normalized to act1+. Data presented is mean ± s.d. of four technical repeats.

https://doi.org/10.7554/eLife.17903.017

To examine whether alleviating the trapping of Clr4 by H3K9M can detoxify H3K9M in vivo, we constructed an hht3-K9MS10D transgene to mimic the constitutively phosphorylated S10 in vivo. The mutant histone was expressed at similar levels to hht3-K9M, and the mutation had no effects on Clr4 protein levels (Figure 5B). Consistent with our hypothesis, Clr4 was localized to pericentric dh repeat in hht3-K9MS10D cells at levels very similar to those in wild-type cells, demonstrating that trapping by H3K9M was alleviated by the adjacent S10 modification (Figure 5C). Moreover, hht3-K9MS10D cells showed normal heterochromatin as indicated by silencing of otr::ura4+, wild type levels of H3K9me3 and H3K9me2 at pericentric repeats, and wild type levels of dh RNA transcripts (Figure 5D). The S10D mutation only detoxified H3K9M when it was present in cis with K9M, as introducing an hht1-S10D mutation in trans could not rescue silencing defects associated with hht3-K9M (Figure 5—figure supplement 1).

The effects of H3K9M also depends on Clr4 protein levels and the relative concentrations of H3K9M to wild-type H3

To further examine the mechanism by which H3K9M regulates H3K9 methylation, we introduced a genomic DNA library into cells containing hht3-K9M and otr::ura4+ and looked for clones that conferred resistance to FOA (Figure 6A). We identified two clones, and sequencing of these two plasmids showed that one contains the clr4+ gene and the other contains histone H3 gene hht2+ (Figure 6B and Figure 6—figure supplement 1A). A similar screen with a cDNA library also identified three suppressors that all encode histone H3 genes (Figure 6B and Figure 6—figure supplement 1A). These results raise the possibility that the relative dosage of Clr4 and histone H3 is essential for the phenotypes associated with the H3K9M mutation.

Figure 6 with 1 supplement see all
The effects of H3K9M on heterochromatin depend on the relative concentrations of H3K9M and Clr4.

(A) A schematic diagram of the screen procedure for overexpression suppressors of hht3-K9M. (B) List of genomic and cDNA clones identified in the screen. (C, D, E) Left, ten-fold serial dilution analyses of indicated yeast strains grown on indicated media to measure the expression of otr::ura4+. Right, ChIP analyses of H3K9me3 and H3K9me2 levels at pericentric dh repeat, normalized to act1+, and qRT-PCR analysis of dh repeat transcript levels, normalized to act1+. Data presented is mean ± s.d. of four technical replicates.

https://doi.org/10.7554/eLife.17903.019

To further test the effects of Clr4 dosage on hht3-K9M, we replaced the clr4+ gene promoter with an inducible nmt41 promoter. Induction of clr4+ partially rescued the silencing defects associated with hht3-K9M (Figure 6C). The effect is Clr4 dosage dependent, as the stronger nmt1 promoter provided better rescue and the weaker nmt81 promoter conferred less rescue (Figure 6—figure supplement 1B). In contrast, overexpression of Swi6, an HP1 family protein that binds to H3K9me (Bannister et al., 2001; Lachner et al., 2001; Nakayama et al., 2001), could not rescue silencing defects associated with hht3-K9M (Figure 6—figure supplement 1B).

To investigate the effects of histone dosage on hht3-K9M, we constructed diploid cells containing one or two copies of hht3-K9M. Diploid cells containing two copies of hht3-K9M are similar in mutant histone dosage as haploid cells containing one copy of hht3-K9M, and behaved similarly (Figure 6D). However, diploid cells containing one copy of hht3-K9M resulted in only partial desilencing of otr::ura4+, with normal H3K9me2 and about a 50% reduction of H3K9me3 (Figure 6D). Therefore, H3K9M acts in a dosage-dependent manner to affect H3K9 methylation and heterochromatin assembly.

We also tested the effects of histone demethylation in hht3-K9M cells. In fission yeast, genetic studies suggest that the JmjC domain protein Epe1 is an H3K9 demethylase, although it should be noted that no demethylase activity of Epe1 is detected in vitro (Tsukada et al., 2006; Zofall and Grewal 2006; Trewick et al., 2007; Audergon et al., 2015; Ragunathan et al., 2015). We found that epe1∆ hht3-K9M cells partially rescued silencing defects of otr::ura4+, accompanied by the restoration of H3K9me2 levels and a reduction of pericentric dh repeat transcript levels, although H3K9me3 levels were only marginally rescued (Figure 6E). Therefore, the balance of heterochromatin promoting and destabilizing forces also contribute to the effects of hht3-K9M.

Discussions

Histone K-to-M mutations are associated with distinct types of cancers and they function in a dominant fashion to block the methylation of lysine residues. However, the molecular mechanism by which these mutations block histone methylation is not well understood. Mammalian cells contain large number of histone genes (and their variants) and histone methyltransferases, which complicate mechanistic analysis. Here, we established an H3K9M model in a much simpler organism, fission yeast, which contains only three histone H3 genes and a single H3K9 methyltransferase Clr4. We found that cells containing one copy of mutant H3K9M completely abolished H3K9me3 on the two other wild copies of histone H3 across the entire genome.

The formation of heterochromatin is divided into two distinct steps: initiation and spreading. The histone methyltransferase Clr4 is first targeted to heterochromatin nucleation centers to initiate H3K9 methylation. The spreading of heterochromatin requires Clr4 mediated H3K9 methylation, which creates binding sites for the chromo domain proteins such as Swi6 and Clr4, thus enhancing the binding of Clr4 to methylate adjacent histones (Figure 7). We found that Clr4 is trapped at heterochromatin nucleation centers in cells containing H3K9M. The fact that H3K9M enhances the interaction between the SET domain of Clr4 and H3 tail, and that compromising such interaction alleviates the trapping of Clr4 by H3K9M to allow heterochromatin assembly suggest that the trapping of Clr4 is mediated by a direct interaction between H3K9M and the Clr4 SET domain. Since Clr4 enzymatic activity is required for heterochromatin spreading and H3K9M inhibits Clr4 activity, it is also possible that the lack of H3K9me also contributes to the failure of Clr4 spreading in addition to the interaction between Clr4 and H3K9M. The fact that trapping only occurs at heterochromatin nucleation centers suggests that recruitment of Clr4 to H3K9M-containing nucleosomes is essential for trapping of Clr4. Alternatively, other factors might also contribute to the trapping of Clr4 in vivo.

A model of H3K9M dominantly blocking histone H3K9 methylation.

In wild type cells, Clr4 is first recruited to heterochromatin nucleation centers to initiate H3K9 methylation. Methylated nucleosomes recruit additional Clr4 to methylate neighboring nucleosomes, leading to heterochromatin spreading. In the end, low levels of Clr4 will cover the entire heterochromatin domain. In H3K9M expressing cells, Clr4 is still recruited to heterochromatin nucleation centers, but will be trapped there due to its interaction with H3K9M containing nucleosomes (yellow). This result in the failure of Clr4 spreading to form heterochromatin domains.

https://doi.org/10.7554/eLife.17903.021

It should be noted that in hht3-K9M cells, although H3K9me3 is completely abolished from the entire genome, there are still significant amounts of H3K9me2 present at heterochromatin nucleation centers. Given that the interaction between H3K9M and Clr4 is not covalent, Clr4 is expected to be in an equilibrium between H3K9M bound and free states. Therefore, although Clr4 is trapped at heterochromatin nucleation centers for a majority of the time, there will be short intervals when Clr4 is in the free form and thus available to methylate nearby nucleosomes. Since the kcat of Clr4 for H3K9me3 is 10 times slower than that of H3K9me2 (Al-Sady et al., 2013), it is much easier for Clr4 to catalyze H3K9me2 than H3K9me3, therefore resulting in a much stronger effects on H3K9me3 than H3K9me2 at heterochromatin nucleation centers, where Clr4 levels are high.

Our structure of G9a in complex with H3K9M and SAM provides the molecular details of how methionine interacts with histone methyltransferases. In contrast to Clr4, which can perform H3K9me3 and regulates heterochromatin assembly, G9a only performs H3K9me2 and mainly acts at euchromatin. Nonetheless G9a is inhibited by H3K9M in vitro (Lewis et al., 2013) and its SET domain is highly conserved with that of Clr4. Therefore, we used the G9a-H3K9M-SAM structure as a guide for further analyses. The crystal structure of G9a-H3K9M-SAM complex clearly shows the methionine side chain of H3K9M. It occupies a similar position as that of a normal lysine and interacts with several aromatic residues of G9a through van der Waals interactions. The most obvious difference between the methionine and lysine side chains is the bending of the end methyl group of methionine. When the methionine was substituted with Norleucine, a similar bend of the methyl group was also observed. Such bending increases the diameter of the side chain to enhance van der Waals interactions, therefore explaining the increased binding of H3K9M and H3K9Nle to H3K9 methyltransferases. Although SAM enhanced the binding between H3K9M and H3K9 methyltransferases, SAM does not make strong direct contributions to the interactions with the methionine side chain, suggesting that its role is to stabilize the structure of the protein to properly form the binding pocket. In addition, the position of SAM is incompatible with dimethylated lysine within G9a, suggesting that the binding of SAM helps release the wild type histone H3 tail after methylation reactions. Therefore, the structure explains why SAM is critical for stabilizing the interaction between H3K9M and H3K9 methyltransferases.

The binding mode of H3K9M-G9a-SAM differs from the structure of H3K27M in complex with Chaetomium thermophilum PRC2, in which an adjacent arginine occupies the lysine channel (Jiao and Liu 2015), even though H3K9M also has an adjacent arginine. It is consistent with the structure of the H3K27M-human PRC2 complex, with methionine occupying the expected lysine-binding channel (Justin et al., 2016). Such a binding state can explain the fact that all known K-to-M mutations, even those without adjacent arginine (such as H3K36M and H3K4M), inhibit the enzymatic activity of their corresponding histone methyltransferases (Chan et al., 2013b; Lewis et al., 2013; Herz et al., 2014). The high conservation of aromatic residues mediating interactions with the methionine side chain suggests that other K-to-M mutations might function in a similar fashion. Indeed, mutant histones show increased association with histone methyltransferases in vivo and in vitro (Bender et al., 2013; Chan et al., 2013a; Justin et al., 2016; Lu et al., 2016Fang et al., 2016). The strengthened interaction might similarly prevent the turnover of these enzymes to block the methylation of other wild type histones.

Finally, our results also suggest several ways to detoxify the effects of H3K9M. First, the effect of H3K9M can be modulated by a modification on the K9M containing histone tail that affects its interaction with Clr4. It is interesting to note that H3K27 is also adjacent to a serine (S28). S28 phosphorylation reduced the inhibitory effects of H3K27M on PRC2 activity in vitro, and introduction of a H3K27MS28E mutant reduced the effects of H3K27M on H3K27me3 in vivo (Brown et al., 2014). Another way to modulate the effects of H3K9M is through changing Clr4 levels or mutant-to-wild type histone ratios, suggesting that the effects of H3K9M are exerted through a direct competition between H3K9M and normal H3 for a limited pool of Clr4 protein. Finally, tipping the balance between heterochromatin assembly and disassembly, such as the deletion of putative histone demethylase Epe1, can also partially detoxify H3K9M. This is consistent with an earlier observation that inhibiting H3K27 demethylase JMJD3 alleviates the effects of H3K27M mutation in glioblastoma (Hashizume et al., 2014). Given the similarities between different histone K-to-M mutations, it is highly likely that these approaches can be used to detoxify other histone K-to-M mutations as well.

Materials and methods

Fission yeast strains and genetic analyses

Request a detailed protocol

Yeast strains containing epitope tagged histones and their mutants were generated by a PCR-based module method. All other strains were constructed through genetic crosses. A list of yeast strains used is provided in Supplementary file 2. For serial dilution plating assays, ten-fold dilutions of a mid log-phase culture were plated on the indicated medium and grown for 3 days at 30°C.

Chromatin immunoprecipitation (ChIP) analyses

Request a detailed protocol

Log-phase yeast cells were incubated at 18°C for 2 hours and then fixed for 30 minutes in 3% freshly made formaldehyde. The crosslinking reaction was stopped by the addition of 2.5 M Glycine to make a final concentration of 0.125 M. The cells were pelleted and washed with PBS (phosphate buffered saline) before resuspended in ChIP lysis buffer (50 mM HEPES-KOH, pH 7.5, 140 mM NaCl, 1% Triton X-100, 0.1% Deoxycholate supplemented with cOmplete protease inhibitors cocktail (Roche)). Ice cold glass beads were added and the mixtures were vigorously disrupted in a beadbeater. The lysates were collected and subjected to sonication to reduce chromatin size to 500–1000 base pairs. The cleared cell lysates were incubated with antibodies: H3K9me3 (Abcam), H3K9me2 (Abcam), and Flag (Sigma) over night at 4°C. Protein G beads were then added to isolate the antibodies and associated chromatin fragments. The beads were then washed with ChIP lysis buffer twice, ChIP lysis buffer containing 0.5 M NaCl, Wash buffer (10 mM Tris, pH 8.0, 250 mM LiCl, 0.5% NP-40, 0.5% Deoxycholate, 1 mM EDTA), and TE (50 mM Tris pH 8.0, 1 mM EDTA). The bound chromatin fragments were eluted with TES (50 mM Tris pH 8.0, 1 mM EDTA, 1% SDS) and the crosslinking was reversed by incubating at 65°C overnight. The protein DNA mixture were then subjected to proteinase K treatment and phenol:chloroform extraction before the DNA was precipitated by ethanol.

Quantitative real-time PCR (qPCR) was performed with Maxima SYBR Green qPCR Master Mix (Fermentas) in a StepOne Plus Real Time PCR System (Applied Biosystems). DNA serial dilutions were used as templates to generate a standard curve of amplification for each pair of primers, and the relative concentration of target sequence was calculated accordingly. An act1 fragment was used as a reference to calculate the enrichment of ChIP over WCE for each target sequence. A list of DNA oligos used is provided in Supplementary file 3.

For ChIP-seq, DNA samples were prepared according to TruSeq ChIP sample preparation guide (Illumina) and sequenced on the Illumina HiSeq 2500 system by 100 bp paired-end sequencing. The raw reads were trimmed by Trimmomatic (v0.35) (Bolger et al., 2014) to remove potential adapter contamination and regions with bad sequencing qualities. The trimmed reads were aligned to the S. pombe reference genome (Ensembl version: ASM294v2.29) by bwa (0.7.12-r1039) (http://bio-bwa.sourceforge.net/). The resulting sam files were further processed by Samtools (v1.2) (Li et al., 2009), picard-tools (v2.0.1) (http://broadinstitute.github.io/picard/) and GATK (v3.5) (McKenna et al., 2010) for indexing, sorting, removing PCR duplicates, and local-realignment. The per-based mapping depth was calculated by bedtools (v2.25.0) (Quinlan and Hall, 2010) and the sliding window plots (window size = 100 bp, step size = 50 bp) were created by in-house Perl and R scripts. We also employed MACS (v1.4.2) (Zhang et al., 2008b) to contrast each ChIP sample versus WCE sample for peak calling.

RNA analyses

Request a detailed protocol

Total cellular RNA was isolated from log-phase cells using MasterPure yeast RNA purification kit (Epicentre) according to the manufacturer’s protocol. Quantification with real time RT-PCR was performed with Power SYBR Green RNA-to-CT one-step Kit (Applied Biosystems). RNA serial dilutions were used as templates to generate a standard curve of amplification for each pair of primers, and the relative concentration of the target sequence was calculated accordingly. An act1 fragment served as a reference to normalize the concentration of samples. The concentration of each target gene in wild type was arbitrarily set to 1 and served as reference for other samples.

In vitro histone methyltransferase and peptide binding assays

Request a detailed protocol

Histone peptides (H3, 1–21) with a C-terminal biotinylated lysine were synthesized by Anaspec at 90% purity and confirmed by mass spectrometry analyses. Clr4 chromo domain (1–190) and SET domain (190–490) were cloned into a pGEX vector. Expression plasmid for GST tagged Swi6, Chp2, and Chp1 chromo domains are gifts from Dr. Jun-ichi Nakayama. The GST fusion proteins were purified with Glutathione beads (GE Healthcare) according to the manufacturer’s protocol.

To examine the enzymatic activity of Clr4 mutants, histone methyltransferase assays were performed with 0.5 µg of recombinant Clr4 SET domain and 2.6 µg of Hela histones in a histone methyltransferase buffer (50 mM Tris, pH 8.0, 1 mM EDTA, 0.5 mM DTT) supplemented with 3H-SAM for 30 minutes at 30°C. The samples were resolved by SDS-PAGE and subjected to Coomassie staining to visualize the proteins and then treated with EN3HANCE (Perkin Elmer) to visualize labeled substrates.

To examine the inhibitory effects of H3K9M peptide, 0.1 µg recombinant SET domain of Clr4 was incubated with 1 µg recombinant human nucleosomes in a methyltransferase buffer (100 mM Tris, pH 8.8, 100 mM KCl, 5% glycerol, 1 mM MgCl2, 20 µM ZnSO4, 10 mM β-mercaptoethanol) supplemented with 10 µM non-radioactive SAM and 2 µM [3H]-labeled SAM for 30 minutes at 30°C. The H3K9M peptide was incubated with Clr4 SET domain for 15 minutes at 30°C before the addition of mono-nucleosomes.

Protein binding assays with recombinant chromo domains were performed by incubating recombinant proteins with biotinylated histone peptides in PBS buffer for 30 minutes at 30°C. Streptavidin beads were added to isolate biotinylated peptide and associated proteins. The beads were washed three times with PBS buffer. The proteins bound to the beads were resolved by SDS-PAGE and stained with Coomassie blue.

Protein binding assays with recombinant SET domains were performed by incubating recombinant proteins in histone methyltransferase buffer (50 mM Tris, pH 8.0, 50 mM NaCl, 1 mM EDTA, 0.5 mM DTT) supplemented with 50 µM SAM or SAH for one hour at 30°C. Streptavidin beads were added to isolate biotinylated peptide and associated proteins. The beads were washed three times in histone methyltransferase buffer before resolved by SDS-PAGE and stained with Coomassie blue. To examine whether the binding was covalent, ChIP lysis buffer (50 mM HEPES-KOH, pH7.5, 500 mM NaCl, 1% Triton X-100, 0.1% sodium deoxycholate) was used to perform the washes.

Protein expression and purification

Request a detailed protocol

The expression and purification of the SET domain of human G9a (residues 913–1193) followed a published procedure (Wu et al., 2010). The expression plasmid (gift of Prof. Matthieu Schapira) was transformed into competent cells and induced using 0.25 mM isopropyl-1-thio-D-galactopyranoside when A600 is 0.7. After incubation overnight at 16°C, the cells were harvested and resuspended in lysis buffer (20 mM Tris (pH 8.0), 250 mM NaCl, and 5% (v/v) glycerol) supplemented with 2 mM β-mercaptoethanol, 0.1% Igepal and 1 mM phenylmethylsulfonyl fluoride and lysed with ultrasonication. The lysate was incubated with Ni-NTA resin (QIAGEN) and washed with 10 column volume lysis buffer containing 50 mM imidazole. Bound protein was eluted with lysis buffer containing 250 mM imidazole, and was digested overnight with thrombin to remove the 6xHis-tag. After concentration, the protein was loaded onto a Superose 6 column (GE Healthcare) equilibrated with gel filtration buffer (20 mM Tris (pH 8.0), 150 mM NaCl). The fractions of the protein peaks were collected and concentrated.

Crystallization

Request a detailed protocol

The protein was incubated with the H3K9M peptide at a molar ration of 1:10 on ice for 30 min, and the sample was then set up for crystallization with the hanging-drop vapor diffusion method at 20°C. The reservoir solution contained 0.1 M Bis-Tris propane (pH 7.5), 18% (w/v) PEG3350, 0.2 M NaF, and 5% (v/v) ethylene glycol. Using mother liquor supplemented with 15% (v/v) glycerol as cryo-protectant, the crystals were frozen in liquid nitrogen before data collection.

Data collection and structure determination

Request a detailed protocol

X-ray diffraction data were collected at 100K at NE-CAT beamline 24-ID-C of Advanced Photon Source (APS) at Argonne National Laboratory and processed using program HKL2000 (Otwinowski and Minor, 1997). The structure was solved through molecular replacement using Phaser-MR in program PHENIX (Adams et al., 2002). The structure refinement was carried out using PHENIX, and manual model building with Coot (Emsley and Cowtan, 2004).

Accession numbers

Request a detailed protocol

ChIP-seq data is available at Arrayexpress under accession number E-MTAB-4776. The atomic coordinates have been deposited at the Protein Data Bank, with accession codes 5T0K (Clr4-H3K9M-SAM) and 5T0M (Clr4-H3K9Nle-SAM).

References

    1. Emsley P
    2. Cowtan K
    (2004) Coot: model-building tools for molecular graphics
    Acta Crystallographica Section D Biological Crystallography 60:2126–2132.
    https://doi.org/10.1107/S0907444904019158
    1. Grewal SI
    2. Klar AJ
    (1997)
    A recombinationally repressed region between mat2 and mat3 loci shares homology to centromeric repeats and regulates directionality of mating-type switching in fission yeast
    Genetics 146:1221–1238.

Article and author information

Author details

  1. Chun-Min Shan

    Department of Biological Sciences, Columbia University, New York, United States
    Contribution
    C-MS, Designed experiments, Performed experiments, Analyzed data
    Contributed equally with
    Jiyong Wang and Ke Xu
    Competing interests
    The authors declare that no competing interests exist.
  2. Jiyong Wang

    Department of Biological Sciences, Columbia University, New York, United States
    Contribution
    JW, Designed experiments, Performed experiments, Analyzed data
    Contributed equally with
    Chun-Min Shan and Ke Xu
    Competing interests
    The authors declare that no competing interests exist.
  3. Ke Xu

    Department of Biological Sciences, Columbia University, New York, United States
    Contribution
    KX, Performed crystallography analyses
    Contributed equally with
    Chun-Min Shan and Jiyong Wang
    Competing interests
    The authors declare that no competing interests exist.
  4. Huijie Chen

    Department of Pathology, Columbia University, New York, United States
    Contribution
    HC, Performed ChIP-seq
    Competing interests
    The authors declare that no competing interests exist.
  5. Jia-Xing Yue

    Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR 7284, INSERM U1081, Nice, France
    Contribution
    J-XY, Performed ChIP-seq data analyses
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2122-9221
  6. Stuart Andrews

    Department of Pathology, Columbia University, New York, United States
    Contribution
    SA, Performed ChIP-seq data analyses
    Competing interests
    The authors declare that no competing interests exist.
  7. James J Moresco

    Department of Chemical Physiology, Scripps Research Institute, La Jolla, United States
    Contribution
    JJM, Performed mass spectrometry analyses
    Competing interests
    The authors declare that no competing interests exist.
  8. John R Yates III

    Department of Chemical Physiology, Scripps Research Institute, La Jolla, United States
    Contribution
    JRY, Performed mass spectrometry analyses
    Competing interests
    The authors declare that no competing interests exist.
  9. Peter L Nagy

    Department of Pathology, Columbia University, New York, United States
    Contribution
    PLN, Performed ChIP-seq data analyses
    Competing interests
    The authors declare that no competing interests exist.
  10. Liang Tong

    Department of Biological Sciences, Columbia University, New York, United States
    Contribution
    LT, Designed experiments, Analyzed data, Wrote the paper
    For correspondence
    ltong@columbia.edu
    Competing interests
    The authors declare that no competing interests exist.
  11. Songtao Jia

    Department of Biological Sciences, Columbia University, New York, United States
    Contribution
    SJ, Designed experiments, Analyzed data, Wrote the paper
    For correspondence
    jia@biology.columbia.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7927-0227

Funding

National Institutes of Health (R01-GM085145)

  • Songtao Jia

National Institutes of Health (S10-OD012018)

  • Liang Tong

National Institutes of Health (P41-RR011823)

  • John R Yates III

National Institutes of Health (P41-GM103533)

  • John R Yates III

Fondation ARC pour la Recherche sur le Cancer (PDF20150602803)

  • Jia-Xing Yue

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

Acknowledgements

We thank Jun-ichi Nakayama for providing chromo domain expression plasmids, Matthieu Schapira for G9a plasmid, National BioResource Project (Japan) for providing the genomic DNA library, Charlie Hoffman for the cDNA library, and members of Jia lab for helpful discussions and critical reading of the manuscript. This work was supported by National Institutes of Health grants R01-GM085145 to SJ, S10-OD012018 to LT, the National Center for Research Resources (P41-RR011823), and National Institute of General Medical Sciences (P41-GM103533). J-XY is supported by a postdoctoral fellowship from Fondation ARC pour la Recherche sur le Cancer (n°PDF20150602803). This work is based upon research conducted at the Northeastern Collaborative Access Team beamlines, which are funded by the National Institute of General Medical Sciences from the National Institutes of Health (P41 GM103403). The Pilatus 6M detector on 24-ID-C beam line is funded by a NIH-ORIP HEI grant (S10 RR029205). This research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357.

Copyright

© 2016, Shan 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

  • 5,399
    views
  • 794
    downloads
  • 36
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

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. Chun-Min Shan
  2. Jiyong Wang
  3. Ke Xu
  4. Huijie Chen
  5. Jia-Xing Yue
  6. Stuart Andrews
  7. James J Moresco
  8. John R Yates III
  9. Peter L Nagy
  10. Liang Tong
  11. Songtao Jia
(2016)
A histone H3K9M mutation traps histone methyltransferase Clr4 to prevent heterochromatin spreading
eLife 5:e17903.
https://doi.org/10.7554/eLife.17903

Share this article

https://doi.org/10.7554/eLife.17903

Further reading

    1. Chromosomes and Gene Expression
    2. Developmental Biology
    Augusto Berrocal, Nicholas C Lammers ... Michael B Eisen
    Research Advance

    Transcription often occurs in bursts as gene promoters switch stochastically between active and inactive states. Enhancers can dictate transcriptional activity in animal development through the modulation of burst frequency, duration, or amplitude. Previous studies observed that different enhancers can achieve a wide range of transcriptional outputs through the same strategies of bursting control. For example, in Berrocal et al., 2020, we showed that despite responding to different transcription factors, all even-skipped enhancers increase transcription by upregulating burst frequency and amplitude while burst duration remains largely constant. These shared bursting strategies suggest that a unified molecular mechanism constraints how enhancers modulate transcriptional output. Alternatively, different enhancers could have converged on the same bursting control strategy because of natural selection favoring one of these particular strategies. To distinguish between these two scenarios, we compared transcriptional bursting between endogenous and ectopic gene expression patterns. Because enhancers act under different regulatory inputs in ectopic patterns, dissimilar bursting control strategies between endogenous and ectopic patterns would suggest that enhancers adapted their bursting strategies to their trans-regulatory environment. Here, we generated ectopic even-skipped transcription patterns in fruit fly embryos and discovered that bursting strategies remain consistent in endogenous and ectopic even-skipped expression. These results provide evidence for a unified molecular mechanism shaping even-skipped bursting strategies and serve as a starting point to uncover the realm of strategies employed by other enhancers.

    1. Chromosomes and Gene Expression
    2. Developmental Biology
    Marius Regin, Yingnan Lei ... Claudia Spits
    Research Article

    About 70% of human cleavage stage embryos show chromosomal mosaicism, falling to 20% in blastocysts. Chromosomally mosaic human blastocysts can implant and lead to healthy new-borns with normal karyotypes. Studies in mouse embryos and human gastruloids showed that aneuploid cells are eliminated from the epiblast by p53-mediated apoptosis while being tolerated in the trophectoderm. These observations suggest a selective loss of aneuploid cells from human embryos, but the underlying mechanisms are not yet fully understood. Here, we investigated the cellular consequences of aneuploidy in a total of 125 human blastocysts. RNA-sequencing of trophectoderm cells showed activated p53 pathway and apoptosis proportionate to the level of chromosomal imbalance. Immunostaining corroborated that aneuploidy triggers proteotoxic stress, autophagy, p53-signaling, and apoptosis independent from DNA damage. Total cell numbers were lower in aneuploid embryos, due to a decline both in trophectoderm and in epiblast/primitive endoderm cell numbers. While lower cell numbers in trophectoderm may be attributed to apoptosis, aneuploidy impaired the second lineage segregation, particularly primitive endoderm formation. This might be reinforced by retention of NANOG. Our findings might explain why fully aneuploid embryos fail to further develop and we hypothesize that the same mechanisms lead to the removal of aneuploid cells from mosaic embryos.