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. 2021 Nov 12;49(21):12136–12151. doi: 10.1093/nar/gkab1044

Epigenetic regulation of nuclear lamina-associated heterochromatin by HAT1 and the acetylation of newly synthesized histones

Liudmila V Popova 1, Prabakaran Nagarajan 2, Callie M Lovejoy 3, Benjamin D Sunkel 4, Miranda L Gardner 5, Meng Wang 6, Michael A Freitas 7, Benjamin Z Stanton 8,9, Mark R Parthun 10,
PMCID: PMC8643632  PMID: 34788845

Abstract

A central component of the epigenome is the pattern of histone post-translational modifications that play a critical role in the formation of specific chromatin states. Following DNA replication, nascent chromatin is a 1:1 mixture of parental and newly synthesized histones and the transfer of modification patterns from parental histones to new histones is a fundamental step in epigenetic inheritance. Here we report that loss of HAT1, which acetylates lysines 5 and 12 of newly synthesized histone H4 during replication-coupled chromatin assembly, results in the loss of accessibility of large domains of heterochromatin, termed HAT1-dependent Accessibility Domains (HADs). HADs are mega base-scale domains that comprise ∼10% of the mouse genome. HAT1 globally represses H3 K9 me3 levels and HADs correspond to the regions of the genome that display HAT1-dependent increases in H3 K9me3 peak density. HADs display a high degree of overlap with a subset of Lamin-Associated Domains (LADs). HAT1 is required to maintain nuclear structure and integrity. These results indicate that HAT1 and the acetylation of newly synthesized histones may be critical regulators of the epigenetic inheritance of heterochromatin and suggest a new mechanism for the epigenetic regulation of nuclear lamina-heterochromatin interactions.

Graphical Abstract

Graphical Abstract.

Graphical Abstract

The disruption of nucleosomes during DNA replication may provide a window during which the deposition of acetylated new histones regulates histone H3 methylation and the association of heterochromatin with components of the nuclear lamina.

INTRODUCTION

When eukaryotic cells divide, not all of the information necessary for proper functioning of daughter cells is encoded in the primary DNA sequence of inherited genomes. Critical regulatory information is also relayed by patterns of chemical modifications to DNA bases and the histones packaging the genome, as well as in the 3D architecture of the genome. This regulatory information is inherited epigenetically during cell division. In mammals, the faithful transmission of epigenetic information is essential for life as it is critical for the control of cell proliferation, maintenance of cell identity and preservation of genome integrity (1–3).

The central process in cell division is genome duplication, which must occur with high fidelity and with accompanying inheritance of epigenetic information that is etched on DNA and chromatin. For example, patterns of CpG methylation are maintained following DNA replication by the maintenance DNA methyltransferase, DNMT1, which recognizes hemi-methylated DNA to restore CpG methylation patterns on daughter strands (4). By comparison, reproducing patterns of histone modifications on replicated chromatin or important aspects of 3-dimensional genomic structure are far more complex processes, and both are required for maintaining cell identity via proper regulation of transcriptional programs (5).

When a parental DNA duplex is replicated to produce two daughter duplexes, the chromatin packaging the DNA must be duplicated, as well. The replisome disrupts the parental nucleosomes in its path, leading to the dissociation of the histone octamer into an H3/H4 tetramer and two H2A/H2B dimers (6). The parental H3/H4 tetramer, which contains most of the epigenetically important modifications such as acetylation and methylation, is recycled onto one of the resulting daughter duplexes near its original location (7–14). This provides for the spatial memory of the parental histone modification patterns (15,16). These histone modification patterns play a central role in the formation of specific chromatin states by regulating inter-nucleosomal interactions and the association of non-histone proteins with chromatin.

As the parental H3/H4 tetramers are distributed to both daughter duplexes, maintaining correct nucleosome density requires that an equal number of newly synthesized H3/H4 tetramers be deposited on the newly replicated daughter duplexes (17). As a result, nascent chromatin is a 1:1 mixture of parental histones and newly synthesized histones. The accurate transfer of parental histone modification patterns to new histones is an essential step in the epigenetic inheritance of specific chromatin states (5,16).

The mechanisms underlying the transmission of parental histone modification patterns are best understood in the context of heterochromatin. Elegant work has established the ‘read-write’ model to describe the transfer of transcriptionally repressive histone H3 methylation from parental to new histones (5,16,18–19). The lysine methyltransferases (KMTs) responsible for H3 K9me2/3 and H3 K27me3 also bind to, and are activated by, their cognate modification. For example, during the replication of constitutive heterochromatin, which is enriched in H3 K9me2 and H3 K9me3, the KMTs G9a and Suv39h1/2 can bind to the parental histones containing H3 K9me2/3. This brings the KMTs near the new histones and promotes the spread of the parental histone methylation pattern to neighboring new histones (5,20–21). While new histones are in close proximity to these KMTs in nascent chromatin, they acquire the parental patterns of methylation very slowly, suggesting that that this is a tightly regulated process (22,23).

Heterochromatic histone modification patterns also regulate genome architecture by regulating the interaction of chromatin with the structural components of the nucleus, such as the nuclear lamina (24–27). The nuclear lamina is a meshwork of intermediate filaments composed of A- and B-type lamins that coat the surface of the inner nuclear membrane through interactions with components of the nuclear membrane, such as the lamin B receptor (LBR) and Emerin (26,28). The regions of heterochromatin that interact with the nuclear lamina are known as LADs (lamin-associated domains). LADs range in size from ∼0.1 to 10 Mb, are gene poor and compose 30–40% of the mammalian genome (29,30). These domains are enriched in the repressive histone modifications H3 K9me2/3, H3 K27me3 and H4 K20me2/3. These modifications are essential for the interaction of LADs with the nuclear lamina, as loss of the lysine methyltransferases (KMTs) responsible for these methylation marks reduces heterochromatin-nuclear lamina association (31–33). Heterochromatin associated histone methylation promotes a direct physical association between heterochromatin and the nuclear lamina. Heterochromatin Protein 1 (HP1) is a reader for H3 K9me2/3. HP1 directly binds to both LBR and to PRR14, a proline-rich protein associated with the nuclear lamina through interactions with lamin A/C (24,34–36). In addition, LBR directly binds to H4 K20me2 (37). Hence, direct physical interactions between heterochromatin and the nuclear lamina help drive the tethering of heterochromatin domains to the nuclear envelope and contribute to 3D genome architecture.

New histones have been considered as passive participants in epigenetic inheritance, serving as a blank canvas onto which the parental histone modification patterns are written (5,16). However, the newly synthesized H3 and H4 acquire specific patterns of modification prior to their deposition onto newly replicated DNA (17,38–41). The modification of new H3 begins with the co-translational monomethylation of K9 by ribosome-associated histone methyltransferase SetDB1 (42). H3 and H4 then form stable heterodimers in a chaperone-mediated process. The H3/H4 dimers then associate with the HAT1 complex that contains the histone acetyltransferase HAT1 and the histone chaperone Rbap46 (43). HAT1 acetylates the new H4 on K5 and K12, an evolutionarily conserved modification pattern specific for newly synthesized molecules (38,44–47). Following nuclear import, the new H3 can also be acetylated, potentially by CBP or GCN5 (48–59). The new H3/H4 complexes are then directed to sites of replication and deposited on newly replicated DNA by the chromatin assembly factor 1 (CAF1) complex (60–68). Following histone deposition, nascent chromatin assumes the correct 3D conformation during chromatin maturation. Chromatin maturation is a poorly characterized process that is accompanied by dynamic changes in the modification state of new histones. The predeposition patterns of acetylation are removed before the new histones acquire the post-translational modification patterns of neighboring parental histones (17). Whether the pre-deposition processing of newly synthesized H3 and H4 plays a regulatory role in the epigenetic inheritance of histone modification patterns is an open question.

HAT1 has emerged as a central regulator of new histone acetylation in mammalian cells. Studies in mouse embryonic fibroblasts (MEFs) have shown that, in addition to the expected acetylation of new H4 K5 and K12, the acetylation of new H3 is also HAT1-dependent. In particular, the deposition of H3 acetylated on K9 and 27 onto newly replicated DNA is lost in HAT1−/− cells (38). Several lines of evidence suggest a link between HAT1 and regulation of the epigenetic inheritance of chromatin states. Complete knock out of HAT1 in mice results in a variety of developmental defects and neonatal lethality suggesting errors in cell fate decisions. In addition, HAT1−/− MEFs display a high degree of genome instability (38). Finally, quantitative proteomics shows that HAT1 regulates the association of proteins with newly replicated DNA. Nascent chromatin assembled in the absence of HAT1 is enriched in factors involved in the formation of constitutive heterochromatin, including G9a, HP1, SMARCAD1, macro H2A, ATRX, KDM2A and the HELLS/CDCA7 complex (69).

We now report that HAT1 is a key regulator of the epigenetic inheritance of chromatin states and genome architecture. ATAC-Seq analysis of HAT1+/+ and HAT1−/− MEFs demonstrates that HAT1 regulates the accessibility of specific chromosomal domains, which we have termed HAT1-dependent accessibility domains (HADs). Most HADs range in size from 0.1 to 10 Mb, are AT-rich, gene poor and heterochromatic. HAT1 functions as a global negative regulator of H3 K9me2 and K9me3, and HADs correspond to regions of the genome where HAT1 regulates the density of H3 K9me3. HADs display a high degree of overlap with Lamin-Associated Domains (LADs) suggesting that HAT1 and acetylation of newly synthesized histones regulate the association between heterochromatin and the nuclear lamina following DNA replication. We strengthen this link by reporting HAT1-dependent phenotypes consistent with disruption of nuclear lamina function. Finally, we propose a model for the epigenetic regulation of histone H3 methylation by HAT1 and newly synthesized histone acetylation and for the role of histone modification dynamics in the association of nascent chromatin with the nuclear lamina.

MATERIALS AND METHODS

MEF cell culture

e12.5 to e14.5 embryos were dissected from the pregnant female and internal organs were removed. The embryonic tissue was disaggregated using an 18-gauge syringe and brought to single cell suspension with Trypsin incubation at 37°C. Cells were then plated onto 100 mm tissue culture plates, passaged upon confluency and maintained in Dulbecco's modified Eagle medium (DMEM-Sigma) with 10% fetal bovine serum (FBS-Gibco) and 1× Pen/Strep antibiotics (Sigma). Genomic DNA was isolated from fibroblasts by standard methods using phenol: chloroform isolation and genotypes were confirmed by PCR using the following pairs of primers P1: 5′-GCC TGG TGA GAT GGC TTA AAC-3′ and P2: 5′-GCA AGT AGT ATG ACA AGA GGT AGG-3′. PCR was performed under following conditions; 95°C for 50 min followed by 29 cycles at 95°C for 40 s, 54.6°C for 30 s and 72°C for 60 s and final extension for 5 min at 72°C. The WT and mutant alleles yielded product sizes of 916 and 478 bp respectively. SV40 T immortalized MEFs (iMEFs) were derived from primary HAT1+/+ and HAT1−/− embryonic day 13.5 embryos. Early passage primary MEFs were transformed with SV-40 T antigen containing plasmid pBSSVD2005 (ADDGENE, Cambridge, MA) to generate immortalized MEFs. Early passage cells were seeded at 25% confluency in six-well plates and transfected with 2 ug of expression vector using Fugene reagent (Roche). Cells were harvested and seeded into 100 mm dishes after 48 h of transfection. The cells were split at 1 in 10 dilutions until passage 5.

For the ATAC-seq and ChIP-seq experiments, cells were grown in DMEM media (Sigma) supplemented with 10% FBS (Sigma) and 1× Penicillin/Streptomycin antibiotics (Gibco).

Data analysis and code availability

All custom data analysis, unless otherwise indicated, was performed using R version 3.6.3 (2020-02-29). The chromosome plots were generated using karyoploteR package version 1.12.4 in R (70). Additional plots were generated using ggplot2 (71).All custom code generated for this publication is available as supplementary material.

pMEF ATAC-Seq library preparation

Primary MEFs isolated from HAT1+/+ (n = 3) and HAT1−/− (n = 3) embryos (5 × 104 cells) were collected, resuspended in cold PBS, and centrifuged for 5min at 500g at 4°C. Next, cells were washed with 1mL cold RSB buffer (10 mM Tris–HCl, pH 7.4, 10 mM NaCl and 3 mM MgCl2). Cells were centrifuged at 500g for 10 min at 4°C, resuspended in 250 μl of freshly made Lysis Buffer (250 μl of RSB buffer and 2.5 μl of 10% NP-40), and incubated for 5 min on ice. Cells were centrifuged at 500g for 10 min at 4°C. Isolated nuclei were resuspended in 50 μl of the transposition mix (22.5 μl of H2O, 25 μl of the 2× Tagment DNA Buffer, 2.5 μl of Tagment DNA Enzyme (both Illumina)) and incubated at 37°C for 30 min. Transposition reactions were purified with the MinElute PCR Purification Kit (Qiagen) and eluted in EB buffer. ATAC-seq libraries were amplified with Nextera primers (Illumina) by PCR and purified with AMPure beads (Beckman Coulter). Resulting ATAC libraries were sequenced with paired-end reads.

pMEF ATAC-Seq data analysis

ATAC-seq reads were processed with the ENCODE ATAC-sequencing pipeline version 1.6.1. The reads were aligned to the mouse genome version mm10 using bowtie2, and the peaks were called using MACS2. Differential accessibility analysis was carried out in R using the DiffBind package version 2.14.0.

Genomic features annotation and gene density analysis

The annotation of the ATAC-seq differentially occupied peaks was carried out using the ChIPseeker package (version 1.22.1) in R. Gene density analysis was performed using the TxDb.Mmusculus.UCSC.mm10.knownGene package (version 3.10.0) in R.

Isochore analysis

Dataset, containing mouse isochore genomic coordinates and isochore classification based on the G/C content was taken from Costantini et al. (72). The genomic coordinates of the isochores were converted from mm9 to mm10 genome assemblies using the UCSC liftOver tool. Percentages of differentially occupied sites in different isochores were calculated using the plyranges package (version 1.6.10) in R.

Computational identification of HADs

To identify HADs computationally, sliding window averages of the ATAC-seq HAT1−/− to HAT1+/+ log2 fold change in 25 data point windows were calculated using slider (version 0.1.5) package in R. Next, a custom R algorithm (available as supplementary material) was used to systematically identify HADs. With this algorithm, any two adjacent regions that fell below the set cutoff of –0.58 log2 fold change or 1.5-fold change and had no more than 1 Mb of gap between themselves were considered to be a part of the same HAD. As a result, 189 HADs were identified. 1 HAD localized on chromosome Y was removed from further analysis.

HADs and LADs data analysis

MEF LADs dataset was downloaded from Peric-Hupkes et al. (73). The genomic coordinates of the LADs were converted from mm9 to mm10 genome assemblies using the UCSC liftOver tool. Overlap between HADs and LADs was calculated using the plyranges package (version 1.6.10) in R.

RNA-Seq

RNA-seq was performed as previously described in Nagarajan et al. (74).

ENCODE ChIP-seq data analysis

Bigwig files for H3K4me1, H3K4me3 and H3K27ac histone marks in MEFs were downloaded from ENCODE (datasets ENCSR000CAZ, ENCSR000CBA and ENCSR000CDI respectively). Heatmaps were generated using deeptools version 3.5.1.

imMEF ATAC-Seq library preparation and data analysis

Immortalized MEFs isolated from Hat1+/+ (n = 2) and Hat1−/− (n = 2) (1 × 105 cells) were collected; nuclei were isolated from the cells and subjected to a transposition reaction with Tn5 transposase by Novogene. Sequencing libraries were amplified by PCR and sequenced with paired-end reads. Raw reads were aligned to the mouse genome version mm10 using bwa version 0.7.12 and peaks were called using MACS2 version 2.1.0. Differential occupancy analysis was performed using DESeq2 in R.

Immunoblot analysis of HAT1 mutant MEFs

For immunoblot anlaysis, protein lysates from MEFs were prepared by using RIPA buffer (100 mM Tris–HCl pH 7.4; 300 mM NaCl; 2% NP‐40; 1% sodium deoxycholate; 0.2% SDS). Protein lysates were separated in 12% acrylamide gels and transferred to nitrocellulose blotting membrane (cat.# 10600004‐GE Healthcare Life Sciences). The membrane was blocked with 5% skim milk in TBS‐T (20 mM Tris–HCl at pH 7.4, 150 mM NaCl, 0.1% Tween‐20) for an hour at room temperature and then incubated with primary antibodies against HAT1 (Abcam, ab12163), histone H3 (Abcam, ab1791), histone H4 (Abcam, ab10158), histone H3 K9me2 (Abcam, ab1220), H3 K9me3 (Abcam, ab8898) and alpha Tubulin (abcam ab7291) incubated overnight at 4°C. HRP‐conjugated secondary antibodies and Pierce ECL or Brighstar Femto chemiluminescent (Pierce cat.# 32106; Brightstar cat. # XR94) were used for detection.

Nuclear structure and integrity assays

Three HAT1+/+ or HAT1−/− MEF cell lines were seeded in equal quantities on coverslips and allowed to attach for 24 h. Cells were then permeabilized with 0.5% Triton X-100 and fixed with 4% PFA simultaneously for 15 min, rinsed with PBS, and fixed again with 4% PFA for 10 min at room temperature. After several PBS washes cells were blocked with 5% BSA for 1 h at room temperature. BSA was removed with PBS. Nuclei were stained with 20 mM Hoechst 33342 Fluorescent Stain and mounted on slides using Vectashield. Images were acquired using a Zeiss LSM 900 Airyscan 2 Point Scanning Confocal microscope and Zen Blue 3.0. Quantification was completed using ImageJ version 1.52t by identifying nuclear regions, measuring the size, and recording nuclei that exhibited nuclear abnormalities.

H3K9me2 and H3K9me3 ChIP

Immortalized MEFs isolated from HAT1+/+ (n = 2) and HAT1−/− (n = 2) embryos were collected, washed with PBS, and resuspended in CiA fixing buffer (50 mM HEPES, pH 8, 1 mM EDTA, 100 mM NaCI and 0.5 mM EGTA). Cells were fixed with 1% formaldehyde (Thermo Scientific) for 10 min at room temperature. Crosslinking reaction was quenched with 0.125 M glycine. Cells were washed with PBS supplemented with 1× of Complete protease inhibitor cocktail (Roche), pelleted and frozen. The pellets were thawed and resuspended 0.8 ml of ice-cold TE buffer (pH 8.0) supplemented with 1× of Complete protease inhibitor cocktail (Roche). Human Dbt immortalized myoblasts were added to the mouse cells to be used as a spike-in control. Samples were sonicated with an Active Motif sonicator for 20 min at 30% amplitude using a 30sec on/off cycle. Sheared chromatin samples were adjusted to RIPA 200 mM NaCl buffer (final concentrations of 0.1% SDS, 0.1% sodium deoxycholate, 1% Triton X-100, and 200 mM NaCl in 1× TE). Samples were incubated on ice for 5 minutes and centrifuged at 13 000 rpm for 10 min at 4°C. H3K9me2 and H3K9me3 antibodies (Abcam ab1220 and ab8898, respectively) were added to the supernatant, and the samples were incubated at 4°C with rotation for 2 hours. Next, pre-washed with RIPA 200 mM NaCl buffer Dynabeads (Invitrogen) were added to the samples for overnight incubation. After incubation, Dynabeads were isolated and washed twice with RIPA buffer (0.1% SDS, 0.1% sodium deoxycholate, and 1% Triton X-100 in 1× TE), twice with RIPA 200 mM NaCl Buffer, twice with LiCl Buffer (250 mM LiCl, 0.5% NP-40, 0.5% sodium deoxycholate in 1× TE), and twice with TE buffer. Beads were isolated, sonicated DNA was decrosslinked overnight and eluted using the MinElute PCR kit (Qiagen).

H3K9me2 and H3K9me3 ChIP-Seq library preparation and data analysis

Sequencing libraries were prepared by PCR amplification and sequenced with paired-end reads by Novogene. Reads were aligned to the mouse genome version mm10 using BWA version 0.7.12, and the peaks were called using MACS2 version 2.1.0. Differential accessibility analysis was carried out using the DiffBind package. ChIP-seq signal density was calculated using the karyoploteR package version 1.12.4 in R (70).

H4 K5ac ChIP-Seq

Mouse embryonic fibroblasts were fixed with 1% formaldehyde in flasks at room temperature for 10 min and subsequently washed with ice-cold PBS before a 0.1-M glycine solution was added to stop the fixation. After chromatin fragmented to 200–500 bp by sonication using Bioruptor. chromatin templates from 20 million cells were used for ChIP experiment. Samples were immunoprecipitated with 2-4 μg of H4K5 antibody overnight at 4°C followed by washing steps. After reverse crosslinking, the ChIP DNA fragment were purified. After reverse crosslinking, the ChIP DNA fragment were purified and repaired followed by treatment with Taq polymerase to generate single-base 3’ overhangs used for adaptor ligation. Libraries were prepared with the Illumina ChIP-seq Sample Prep Kit and sequenced using a genome analyzer (Illumina). ChIP-seq reads were mapped to the most recent mouse genome (mm9) using IGV (Integrative Genomics Viewer) and only the uniquely mapping reads were used for further analysis.

RESULTS

Hat1 regulates the accessibility of large chromatin domains

Nascent chromatin from HAT1−/− cells is enriched for factors involved in constitutive heterochromatin formation, suggesting that the acetylation of newly synthesized histones regulates reestablishment of specific chromatin states following DNA replication. To test this hypothesis, we used ATAC-seq (Assay for Transposase Accessible Chromatin using sequencing) to profile genome-wide accessibility in Hat1+/+ and Hat1−/− primary MEFs (75). The ATAC-Seq results demonstrate that HAT1 has a dramatic effect where 1859 sites were found to be differentially accessible (log2 fold change +/− 1, P < 0.01), with 88% of these sites less accessible in HAT1−/− cells (Figure 1A, Supplementary Table S1).

Figure 1.

Figure 1.

HAT1 regulates the accessibility of large chromatin domains. (A) Volcano plot comparing ATAC-Seq peaks from HAT1−/− versus HAT1+/+ cells (log2 fold change ±1, P< 0.01). (B) The log2 fold change of ATAC-seq data from primary HAT1+/+ and HAT1−/− MEFs plotted along mouse chromosome 1. (C) (Top) The sliding window average (window size 25 data points) of the log2 Fold Change (log2FC) of the ATAC-Seq signal from HAT1−/− chromatin relative to HAT1+/+ chromatin is plotted below a karyoplot of chromosome 1. The location of HAT1-dependent accessibility domains (HADs) is indicated in green above the karyoplot. (Bottom) A genome browser view of the ATAC-Seq data from the indicated region of chromosome 1 (data is representative of biological triplicates). The location of HADs are indicated.

We localized the HAT1-dependent sites of accessibility relative to functional genomic features. The majority of HAT1-dependent sites of accessibility (57%) were in distal intergenic regions. The remaining sites were primarily in downstream introns (∼31%) and promoter proximal regions (∼8%) (Supplementary Figure S1A). HAT1-dependent sites of accessibility show a marked preference for low GC-content DNA, with more than 65% located in isochores L1 and L2 and 0 sites in isochore H3 (Supplementary Figure S1B). The HAT1-dependent sites of differential accessibility also display a preference for regions of low gene density (Supplementary Figure S1C).

Interestingly, the HAT1-dependent sites of accessibility are not evenly distributed throughout the genome. To visualize this distribution, we plotted the ATAC-Seq log2 fold change (log2 FC) difference between HAT1+/+ and HAT1−/− cells across the genome. In these plots, values above 0 indicate increased accessibility in HAT1−/− cells and values below 0 have decreased accessibility (Figure 1B). It is apparent that large domains of chromatin lose accessibility in HAT1−/− cells. To computationally define these domains, we plotted a sliding window average of the log2 FC of the ATAC-Seq data (Figure 1C, top). Regions where the log2 FC sliding window average is less than −0.58 (−1.5-fold change) were classified as HAT1-dependent accessibility domains (HADs).

The bottom of Figure 1C shows a genome browser view of the ATAC-Seq data for a 23 Mb region of chromosome 1 that contains three HADs. The HADs are large domains that have characteristics of heterochromatin. HADs have lower gene density and lower accessibility than flanking euchromatic domains. Strikingly, the chromatin in HADs becomes almost entirely inaccessible in HAT1−/− cells, while the flanking domains are unchanged. This suggests that the decrease in chromatin accessibility observed in the absence of HAT1 is largely due to decreased accessibility of heterochromatic regions rather than spreading of heterochromatin into neighboring euchromatic domains.

Across the genome (Y chromosome was excluded from analysis), we have identified 188 HADs that range in size from ∼0.9 kb to greater than 11 Mb, with ∼48% of the HADs between 1 Mb and 5 Mb in size. In total, HADs encompass 10% of the mouse genome (Supplementary Table S2). The ATAC-Seq analysis was repeated with immortalized MEFs and highly similar patterns of HADs were observed, suggesting that the regulation of large domains of chromatin structure is a fundamental function of HAT1 (Supplementary Figure S2).

HAT1 is a global regulator of H3K9 methylation

The decrease in constitutive heterochromatin accessibility upon HAT1 loss led us to hypothesize that HAT1 regulates the transmission of heterochromatic histone methylation patterns from parental histones to new histones. To test this hypothesis, we performed ChIP-Seq analysis of H3 K9me2 and H3 K9me3 in HAT1+/+ and HAT1−/− MEFs. We used human chromatin as a spike-in control to permit a quantitative comparison of methylation levels between samples. Figure 2A shows a genome browser view of chromosome 1. There is a clear increase in the level of both H3 K9me2 and K9me3 in HAT1−/− cells. Strikingly, the methylation increase is distributed across the length of the chromosome such that the overall patterns of H3 K9me2 and K9me3 are retained. Identical results are seen for all of the autosomes (data not shown). A global increase in H3 K9me2/3 is consistent with proteomic analyses that indicate a trend towards increased levels of H3 K9me2/3 and a decrease in the level of H3 K9me1 in HAT1−/− MEFs (Supplementary Figure S3).

Figure 2.

Figure 2.

HAT1 is a global regulator of H3K9 methylation. (A) Genome browser view of mouse chromosome 1 showing ChIP-Seq data of H3 K9me2, H3 K9me3 and H4 K5ac from immortalized HAT1+/+ and HAT1−/− MEFs (as indicated). (B) Genome browser view of a 12.8 Mb region of chromosome 1 showing ATAC-Seq data and ChIP-Seq data of H3 K9me2, H3 K9me3 and H4 K5ac from immortalized HAT1+/+ and HAT1−/− MEFs (as indicated).

The H3 K9me2/3 ChIP-Seq data suggests that HAT1-dependent regulation of H3 K9 methylation occurs uniformly across the genome. A genome-wide role for HAT1 is consistent with previous reports demonstrating that nearly 100% of newly synthesized histone H4 is diacetylated on K5 and K12 (39,47,76). To obtain additional support for a genome-wide function for HAT1, we analyzed the effect of HAT1 loss on H4 K5 acetylation. This analysis is complicated by the transient nature of the acetylation of new H4, as this modification is lost during chromatin maturation (77,78). We predicted that ChIP-Seq analysis of H4 K5 acetylation from an asynchronous culture would reveal a basal level of acetylation that is due to the random distribution of active replication fork progression across the genome. Regions of HAT1-dependent new H4 acetylation should be indicated by a decrease in this basal level of K5 acetylation. As seen in Figure 6A, ChIP-Seq analysis of H4 K5 acetylation in HAT1+/+ and HAT1−/− cells indicates that there is a uniform decrease of basal H4 K5 acetylation across the entirety of chromosome 1. Hence, these results suggest that HAT1 is responsible for the acetylation of new histones that are deposited throughout the genome and that HAT1 and the acetylation of new histones function as global negative regulators of H3 K9 methylation.

Figure 6.

Figure 6.

HAT1 is required to maintain nuclear structure and stability. (A) HAT1+/+ (n = 12 980) and HAT1−/− (n = 11 796) cells were stained with DAPI, imaged and nuclear area determined with ImageJ. (B) Cells of the indicated genotype were visualized with DAPI. The percentage of cells containing nuclear blebs or micronuclei (marked by white arrows) was quantitated (n = 1207 and 894 cells for HAT1+/+ and HAT1−/−, respectively, *P-value < 0.05).

The decrease in accessibility in HADs was not strictly correlated to increased levels of H3 K9me2/me3. Figure 2B shows a genome browser view of a 12.8 Mb region of chromosome 1. The levels of H3 K9 me2/3 are elevated in the regions of HAT1-dependent accessibility. However, there were also increased levels of H3 K9 methylation in flanking regions whose accessibility does not change. In addition, there is a uniform decrease of H4 K5Ac across regions where accessibility is both HAT1-dependent and HAT1-independent. Hence, HAT1-dependent alterations in chromatin accessibility do not appear to be linked to the overall levels of H3 K9 methylation.

HAT1 regulates H3 K9me3 density in HADs

When analyzed by population-based methods such as ChIP-Seq, the concentration of H3 K9 methylation in a given region of chromatin is indicated by two measurements; the intensity, or height, of the ChIP-Seq signal and the density of the ChIP-Seq signal. As HADs do not correlate with HAT1-dependent changes in H3 K9me2/3 intensity, we analyzed HAT1-dependent changes in H3 K9 methylation peak density. We calculated the number of H3 K9me2 and H3 K9me3 peaks in 1 Mb segments across each chromosome. In Figure 3A, the plot above the karyoplot of chromosome 1 depicts the change in the density of H3 K9me2 peaks between HAT1+/+ and HAT1−/− cells, where values above zero reflect an increase in peak density in the HAT1−/− cells. Loss of HAT1 has little effect on the density of H3 K9me2 peaks. However, HAT1 has a significant effect on H3 K9me3 peak density across chromosome 1 (Figure 3B). We observed a striking correlation between HADs and the regions of the chromosome that display increases in H3 K9me3 peak density. Similar results are observed across all autosomes (data not shown). These data suggests that chromatin accessibility in HADs is linked to the HAT1-dependent regulation of H3 K9me3 density.

Figure 3.

Figure 3.

HAT1 regulates H3 K9me3 peak density in HADs. (A) The change in the density of H3 K9me2 peaks (peaks/Mb), determined by comparing ChIP-Seq data from HAT1+/+ and HAT1−/− MEFs, is plotted above a karyoplot of mouse chromosome 1. Below the karyoplot are plots of the log2 FC of ATAC-Seq data between HAT1+/+ and HAT1−/− immortalized and primary MEFs (as indicated). (B) (Top) The change in the density of H3 K9me3 peaks (peaks/Mb), determined by comparing ChIP-Seq data from HAT1+/+ and HAT1−/− MEFs, is plotted above a karyoplot of mouse chromosome 1. Below the karyoplot are plots of the log2 FC of ATAC-Seq data between HAT1+/+ and HAT1−/− immortalized and primary MEFs (as indicated). (Bottom) A zoomed in view of the region of chromosome 1 indicated by the oval. Shown are genome browser views of of H3 K9me3 ChIP-Seq data from HAT1+/+ and HAT1−/− MEFs and the corresponding ATAC-Seq data.

HAT1-dependent chromatin accessibility is not tightly linked to transcription

It was recently shown that in regions of euchromatin, the ground state of nascent chromatin following DNA replication is inaccessibility. Accessibility is acquired during chromatin maturation as genes become transcriptionally active (79). To determine whether the loss of accessibility in HAT1−/− cells is the result of a loss of transcription, we performed RNA-Seq analysis in HAT1+/+ and HAT1−/− MEFs. Consistent with the overall decrease in accessibility of HAT1−/− chromatin, the primary effect of HAT1 loss was a decrease in transcription (Figure 4A). The expression of 709 genes decreased by at least 1.5-fold and 283 genes increased by at least 1.5-fold (P-value < 0.05). However, comparison of the ATAC-Seq and RNA-Seq data suggests that the HAT1-dependent changes in chromatin accessibility are not tightly linked to changes in transcription. Of the 709 genes down-regulated in primary HAT1−/− MEFs, only 39 (∼5%) are located in HADs. Consistent with their heterochromatic nature and low gene density, most HADs have low levels of transcription. For example, Figure 4B shows a HAD from chromosome 16. Within the HAD there is very little transcription and there is no difference between the HAT1+/+ and HAT1−/− cells. This raises the interesting possibility that in the wake of DNA replication, the reemergence of the correct patterns of accessibility in heterochromatic HADs occurs through mechanisms distinct from those governing euchromatic inheritance.

Figure 4.

Figure 4.

HAT1-dependent chromatin accessibility is not tightly linked to transcription. (A) Volcano plot of RNA-Seq data from primary HAT1+/+ and HAT1−/− MEFs. (B) Genome browser view of a 10 Mb region of chromosome 16 showing ATAC-Seq and RNA-Seq data from primary HAT1+/+ and HAT1−/− MEFs. Location of HADs is indicated by the green boxes. (C) Genome browser view of a 50 kb region of chromosome 1 showing the indicated tracks. ATAC-Seq and RNA-Seq was generated by our laboratory in HAT1+/+ and HAT1−/− MEFs. ChIP-Seq data was obtained from MEFs by the ENCODE project. (D) The 1859 HAT1-dependent sites of accessibility were aligned with publicly available ChIP-Seq data for H3 K27ac, H3 K4me1 and H3 K4me3. The sites were divided into 3 groups following unsupervised hierarchical clustering. Heatmaps show the abundance of each modification relative to the centers of the peaks of accessibility ±2 kb.

There are a small number of sites that become more accessible in the absence of HAT1 (Figure 1A). These sites do not show an obvious link to transcription. The sites of increased accessibility in HAT1−/− cells are distributed throughout the genome and do not show an obvious association with HAT1-dependent changes in transcription (Supplementary Figure S4).

HAT1-dependent sites of accessibility have characteristics of active enhancers

To better understand the nature of the HAT1-dependent sites of accessibility embedded within heterochromatin, we compared our ATAC-Seq data to publicly available ChIP-Seq datasets for histone post-translational modifications and chromatin modifying proteins. The HAT1-dependent sites of accessibility have properties of active enhancers as there is a significant correlation with H3 K27ac and H3 K4me1 (Figure 4C and D). However, only a small subset of these sites are also associated with H3 K4me3 peaks, consistent with the lack of connection between HAT1-dependent accessibility and active transcription.

As the HAT1-dependent sites of accessibility have characteristics of active enhancers, we compared these sites to ENdb, which is a dataset of experimentally verified enhancer elements from human and mouse (80). However, none of the HAT1-dependent sites of accessibility overlap with known enhancers. Hence, these active enhancer-like sites of accessibility in heterochromatin are not linked to transcriptional regulation in MEFs.

HADs localize to lamin-associated domains

The nuclear lamina is an important structural component of the nucleus that provides a framework for the 3D architecture of the genome. The association of LADs with the nuclear lamina localizes these domains to the periphery and the heterochromatin compartment of the nucleus (25–26,81–82). LADs range in size from 0.1 Mb to 10 Mb, tend to be gene poor and are enriched in the L1 and L2 isochores. The physical characteristics of HADs are similar to those of LADs (25,26). We compared our ATAC-Seq data with available lamin B1 localization in MEFs determined by DamID and found a remarkable degree of overlap (Figure 5A). In the karyoplots shown in Figure 5B, it is clear that HADs are predominantly located within LADs throughout the genome (86% of HADs overlap with LADs). LADs can also be categorized as either constitutive LADs (cLADs) and facultative LADs (fLADs). The cLADs are ubiquitously present in all of the cell types that have been examined, while fLADs develop in specific cell types during differentiation. We compared the location of HADs relative to cLADs and and found that ∼85% of HADs colocalize with cLADs (Supplementary Figure S5) (73). These data indicate that HAT1 regulates the accessibility of large chromosomal domains associated with the nuclear lamina.

Figure 5.

Figure 5.

HADs display a high degree of overlap with LADs. (A) Genome browser visualization of ATAC Seq data from HAT1+/+ (blue) and HAT1−/− (red) cell lines. For the indicated region of chromosome 6. Lamin B1 DamID data (dark green) from MEFs was obtained from the UCSC browser (73). (B) Karyoplots of each autosome with location of HADs on the top and LADs on the bottom.

HAT1 is required to maintain nuclear structure and stability

Previous studies have suggested a link between HAT1 and nuclear lamina function. For example, complete knockout of HAT1 in mice results in neonatal lethality with a number of developmental phenotypes that are very similar to those seen following the complete knockout of the LMNB1 gene, including hyper-proliferation of lung mesenchymal cells and craniofacial bone defects (38,83). In addition, senescence of MEFs is highly sensitive to the level of HAT1 (84). Finally, mice heterozygous for HAT1 have a dramatically shortened lifespan and develop multiple signs of early onset aging (84).

The nuclear lamina is a critical determinant of nuclear morphology. To determine whether HAT1 is functionally linked to the nuclear lamina, we examined several aspects of nuclear structure and stability. We measured nuclear size in HAT1+/+ and HAT1−/− MEFs and found that loss of HAT1 leads to a significant increase in nuclear area (Figure 6A). This is consistent with a number of studies that have demonstrated an increase in nuclear size associated with decreases in the expression of lamins or with mutations that compromise lamina function (85,86). We analyzed lamin A/C and lamin B levels in HAT1+/+ and HAT1−/− MEFs by Western blot and found that loss of HAT1 does not affect lamin expression (Supplementary Figure S6A). In addition, immunofluorescence imaging indicates that there are no marked differences in lamin A/C or lamin B expression or sub-cellular localization between HAT1+/+ and HAT1−/− MEFs (Supplementary Figure S6B).

Defects in the nuclear lamina can also compromise the structural integrity of the nucleus. An interesting example is related to the protein acetyltransferase Mof. Analysis of Mof-dependent acetylation identified multiple sites of acetylation in the lamins, particularly lamin A. This acetylation is functionally relevant as mutations in Mof or the Mof-dependent sites of acetylation in lamin A cause increased nuclear blebbing and formation of micronuclei (87). We identified a similar phenotype in nuclei from HAT1−/− cells, as there is a significant increase in the frequency of nuclear blebbing and micronuclei relative to that observed in control HAT1+/+ cells (Figure 6B). We conclude that HAT1 deficient cells display an array of phenotypes similar to those seen in cells with defects in the nuclear lamina further supporting that HAT1 is functionally linked to nuclear lamia-associated heterochromatin.

Our results suggest that HAT1 plays a central role in the epigenetic inheritance of chromatin states. Specifically, we demonstrate that HAT1 is required to maintain the accessibility of large domains of chromatin that we have termed HADs (HAT1-dependent Accessibility Domains). In addition, HAT1 functions as a global repressor of H3 K9 methylation and chromatin accessibility in HADs correlates with HAT1-dependent increases in H3 K9me3 density. HADs are megabase-scale domains that coincide with heterochromatic regions of chromatin that interact with the nuclear lamina (LADs). HAT1 is directly linked to the nuclear lamina as HAT1 loss leads to defects in nuclear structure and integrity.

DISCUSSION

In the wake of a replication fork, nascent chromatin contains a 1:1 mixture of parental and newly synthesized histones. The presence of H3 K9me2/3 on parental histones provides the template for the propagation of these modifications to new histones and the epigenetic inheritance of constitutive heterochromatin structure (15). The ‘read-write’ model for this epigenetic inheritance of heterochromatin posits that parental H3 K9me2/me3 serve as binding sites for the KMTs G9a and Suv39h1/2. This recruits these KMTs to nascent chromatin and into the proximity of neighboring newly synthesized histones for the propagation of the methylation marks (5,16,88). Here, we test the hypothesis that HAT1 and the acetylation of the newly synthesized histones play active regulatory roles in the epigenetic inheritance of histone H3 K9 methylation and constitutive heterochromatin.

We propose that HAT1 and the acetylation of new histones serve as a spatial and/or temporal brake on the transfer of H3 K9me2/3 from parental histones to new histones (Figure 7A). This transient inhibition of the propagation of K3 K9me2/3 would provide an opportunity for the ordered and regulated reestablishment of constitutive heterochromatin structure following DNA replication. A regulatory role for new histone acetylation is consistent with a number of previous reports. Early studies involving the treatment of cells in S phase with histone deacetylase inhibitors indicated that a delay in the removal of new histone acetylation prevented the generation of stable and mature chromatin (77). More recent studies have used proteomics to characterize the acquisition of H3 K9me2/3 by newly synthesized histones. Surprisingly, methylation of H3K9 occurs with slow kinetics following deposition of newly synthesized histones on nascent chromatin, with new histones taking an entire cell cycle to acquire the parental level of methylation (22,23).

Figure 7.

Figure 7.

Model of epigenetic regulation of nuclear lamina-associated heterochromatin domains by HAT1 and the acetylation of newly synthesized histones. (A) Schematic diagram showing the potential role of HAT1 and the acetylation of newly synthesized histones in the epigenetic inheritance of histone H3 methylation in heterochromatin. (B) Schematic diagram describing the regulation of nuclear lamina-heterochromatin interactions following DNA replication by nascent chromatin maturation.

There are multiple, non-mutually exclusive, mechanisms by which HAT1 and the acetylation of newly synthesized histones may regulate the epigenetic inheritance of histone methylation patterns on nascent chromatin (Figure 7). HAT1 is required for the acetylation of newly synthesized H3 and H4 and for the deposition of H3 and H4 with specific sites of acetylation onto newly replicating DNA. In particular, H3 acetylated on K9 and K27 and H4 acetylated on K5 and K12 are absent on nascent chromatin from HAT1−/− cells (38). The deposition of new H3/H4 tetramers containing H3 K9ac would directly block the ability of KMTs to methylate these new histones (Figure 7A). An important caveat of this mechanism is that a relatively small proportion of new H3 appears to be acetylated on K9. Pulse labeling with 14C-lysine demonstrated that ∼3% of new H3 molecules were acetylated on K9 (76). Hence, the direct inhibition of H3 K9me2/3 by K9 acetylation is only likely to play a significant regulatory role if new H3 containing this modification is specifically targeted and concentrated at discreet regions of the genome, such as HADs. In this context, it is interesting to note that increasing H3 K27ac can disrupt the interaction of LADs with the nuclear lamina (89,90).

Contrary to new H3, essentially all new molecules of H4 are diacetylated on K5 and K12 by HAT1 (39,76). Our results indicate that HAT1-modified new H4 is uniformly distributed throughout the genome. Hence, the genome-wide effect on H3 K9me2/3 is more likely linked to HAT1 or the acetylation of new H4. The acetylation of new H4 creates binding sites for bromodomain proteins on nascent chromatin and it was recently shown that association of Brg1, BRD3 and Baz1a with nascent chromatin is HAT1-dependent (69). The presence of these proteins on nascent chromatin may directly block the spread of H3 K9 methylation or may function to promote the localized assembly of open chromatin (Figure 7A). The latter possibility is consistent with the active enhancer-like structure of the HAT1-dependent sites of accessibility in constitutive heterochromatin, given the central role of bromodomain proteins in the formation of active enhancers in the context of euchromatin (91).

The transient physical association of HAT1 with newly replicated DNA opens up the possibility that HAT1 is directly involved in the regulation of H3 K9me2/3 dynamics on nascent chromatin (Figure 7A) (38,69,92). The presence of HAT1 on nascent chromatin may sterically block the activity of KMTs, as the RBBP7/HAT2 subunit of the HAT1 complex also binds the NH2-terminal tail of histone H3 (93). Alternatively, HAT1 may negatively regulate H3 K9 methylation directly or indirectly through its acetyltransferase activity. Indeed, a recent report identified the HAT1-dependent acetylation of a number of chromatin modifying proteins, including KMT5b (94). HAT1 was also recently proposed to play a central role in the regulation of nuclear acetyl-CoA availability and the absence of HAT1 may decrease heterochromatin accessibility through decreased acetyl-CoA availability (95). Finally, HAT1 may regulate heterochromatin structure through the modification of non-histone proteins or through a non-catalytic activity of the protein (94,96).

In addition to genome-wide increases in H3 K9me2/3, loss of HAT1 also results in the formation of megabase scale domains of highly inaccessible chromatin (HADs). A link between these two phenomena is suggested by the correlation between HADs and HAT1-dependent changes in the density of H3 K9me3 peaks. Recent reports have suggested that constitutive heterochromatin structure is formed by liquid−liquid phase separation or polymer-polymer phase separation (97–101). An important aspect of these models is that phase separation is mediated by the concentration and valence of HP1 interactions with chromatin. In the absence of HAT1, regions of the genome where the density of H3 K9me3 increases would provide an environment with a high local HP1 concentration and the opportunity for multi-valent interactions. This may push the HP1 concentration past the normal threshold and drive the assembly of an aberrantly condensed form of heterochromatin (Figure 7A).

In the context of euchromatin, accessibility following DNA replication develops as a consequence of transcriptional restart (79). Chromatin accessibility in regions of constitutive heterochromatin may develop through a distinct mechanism. Comparison of our ATAC-Seq and RNA-Seq data indicates that heterochromatic chromatin accessibility is not strictly linked to proximal transcription. However, the sites of accessibility possess properties similar to those of active enhancers in euchromatin. This raises the question of the function of sites of chromatin accessibility in gene poor regions of heterochromatin. These sites of accessibility may be important for facilitating long-range chromatin interactions that are important for proper 3D genome architecture. These sites of accessibility may also be involved in creating regional chromatin environments that allow for the interaction of heterochromatin components with structural components of the nucleus, such as the nuclear lamina.

The nuclear lamina is a critical structure that provides the framework for the 3D organization of the genome. Our understanding of nuclear lamina formation and its association with specific chromatin domains is based largely on studies of its assembly following mitosis (25–27). However, it is likely that passage of a replication fork through lamin-associated chromatin disrupts lamin-chromatin interactions. The timely reestablishment of the association between nascent chromatin and the nuclear lamina would then be essential for the epigenetic inheritance of global genome architecture.

We propose a model for the epigenetic regulation of nuclear lamina-heterochromatin interactions following DNA replication (Figure 7B). The replication fork disrupts the nuclear lamina-heterochromatin interaction as the parental nucleosomes are displaced. The recycled parental histones carry H3 K9me2/3, which is necessary for reestablishing contact with the nuclear lamina through factors such as LBR and PRR14, which directly interact with HP1 (24,29,33,35–36). We propose that the association of newly synthesized histones with the nuclear lamina is regulated by dynamic changes in their modification state. The interaction between the new histones and the nuclear lamina would develop during chromatin maturation as the new histones acquire H3 K9me2/3. Hence, DNA replication and chromatin maturation provide a window of opportunity to epigenetically regulate global genome architecture through modulating the localization of heterochromatin with the nuclear periphery.

DATA AVAILABILITY

Epigenomic datasets are deposited in GEO: GSE178592. Mass spectrometry proteomics data has been deposited to PRIDE: PXD026232.

Supplementary Material

gkab1044_Supplemental_Files

ACKNOWLEDGEMENTS

We would like to thank Dr Aaron Goldman, Dr Moray Campbell, Dr Paul Wade and Dr Gene Oltz for helpful discussions.

Contributor Information

Liudmila V Popova, Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, OH 43210, USA.

Prabakaran Nagarajan, Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, OH 43210, USA.

Callie M Lovejoy, Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, OH 43210, USA.

Benjamin D Sunkel, Abigail Wexner Research Institute at Nationwide Children's, Center for Childhood Cancer and Blood Diseases, Columbus, OH 43205, USA.

Miranda L Gardner, Campus Chemical Instrument Center, Mass Spectrometry and Proteomics Facility, The Ohio State University, Columbus, OH 43210, USA.

Meng Wang, Abigail Wexner Research Institute at Nationwide Children's, Center for Childhood Cancer and Blood Diseases, Columbus, OH 43205, USA.

Michael A Freitas, Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH 43210, USA.

Benjamin Z Stanton, Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, OH 43210, USA; Abigail Wexner Research Institute at Nationwide Children's, Center for Childhood Cancer and Blood Diseases, Columbus, OH 43205, USA.

Mark R Parthun, Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, OH 43210, USA.

SUPPLEMENTARY DATA

Supplementary Data are available at NAR Online.

FUNDING

National Institutes of Health [GM062970 to M.R.P. and CMBP T32 to L.V.P.]; St. Baldrick's Foundation (Berry Strong Fund award to B.Z.S.); Mark Foundation for Cancer Research (ASPIRE Award to B.Z.S.); Andrew McDonough B+ Foundation (Childhood Cancer Research Grant to B.Z.S.); CancerFree KIDS Foundation (New Idea Award to B.D.S.); microscopy facilities [P30 NS104177 and S10 OD02684]; proteomics facilities [P30 016058] to the Ohio State University Comprehensive Cancer Center. The open access publication charge for this paper has been waived by Oxford University Press – NAR Editorial Board members are entitled to one free paper per year in recognition of their work on behalf of the journal.

Conflict of interest statement. None declared.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

gkab1044_Supplemental_Files

Data Availability Statement

Epigenomic datasets are deposited in GEO: GSE178592. Mass spectrometry proteomics data has been deposited to PRIDE: PXD026232.


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