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Cell Res. 2011 October; 21(10): 1393–1409.
Published online 2011 August 30. doi:  10.1038/cr.2011.146
PMCID: PMC3193447

Dynamic chromatin states in human ES cells reveal potential regulatory sequences and genes involved in pluripotency


Pluripotency, the ability of a cell to differentiate and give rise to all embryonic lineages, defines a small number of mammalian cell types such as embryonic stem (ES) cells. While it has been generally held that pluripotency is the product of a transcriptional regulatory network that activates and maintains the expression of key stem cell genes, accumulating evidence is pointing to a critical role for epigenetic processes in establishing and safeguarding the pluripotency of ES cells, as well as maintaining the identity of differentiated cell types. In order to better understand the role of epigenetic mechanisms in pluripotency, we have examined the dynamics of chromatin modifications genome-wide in human ES cells (hESCs) undergoing differentiation into a mesendodermal lineage. We found that chromatin modifications at promoters remain largely invariant during differentiation, except at a small number of promoters where a dynamic switch between acetylation and methylation at H3K27 marks the transition between activation and silencing of gene expression, suggesting a hierarchy in cell fate commitment over most differentially expressed genes. We also mapped over 50 000 potential enhancers, and observed much greater dynamics in chromatin modifications, especially H3K4me1 and H3K27ac, which correlate with expression of their potential target genes. Further analysis of these enhancers revealed potentially key transcriptional regulators of pluripotency and a chromatin signature indicative of a poised state that may confer developmental competence in hESCs. Our results provide new evidence supporting the role of chromatin modifications in defining enhancers and pluripotency.

Keywords: hESCs, epigenomics, histone modifications, enhancers


Human embryonic stem cells (hESCs) are derived from the inner cell mass of the blastocyst 1. Due to their ability to self-renew while retaining the potential to differentiate into most other cell types in the body, there has been growing interest to explore hESCs in regenerative medicine and as a model system to study early human development.

A prevailing theory holds that pluripotency is established and maintained by a network of transcription regulatory proteins 2, 3. A core transcriptional regulatory network consisting of transcription factors OCT4, SOX2, NANOG and their regulatory target genes has been discovered to control the gene expression program to maintain self-renewal and pluripotency in human and mouse ESCs 3, 4, 5. Oct4, Sox2 and Nanog bind to key cis-regulatory sequences, including enhancers and promoters, recruiting co-activator complexes or transcriptional machinery to allow transcription and production of proteins 4, 5, 6. Importantly, they regulate each other's transcription, through feed forward loops, and produce two bistable states: in the presence of appropriate levels of all three proteins, the network is able to maintain the stable expression of each gene; on the other hand, if any of these proteins is absent or inappropriately expressed, the cells would then exit from this state and take on another stable state where some or all the three proteins are repressed. Besides regulating themselves, Oct4, Sox2 and Nanog also control the expression of a large number of other pluripotency genes, many of which encode for additional transcription factors that work together with the three to further stabilize the pluripotent state.

While it is clear that the transcriptional regulatory network plays a critical role in establishing and maintaining pluripotency of ES cells, other factors have also been shown to be important. Among them are epigenetic factors, such as DNA methylation and histone modifications, cis-regulating molecular marks that can exert long-lasting influences on gene activities in the cells 7, 8, 9. Without DNA methylation, differentiation to certain lineages is severely blocked 10, 11. Alterations that lead to abnormal chromatin modifications are also known to cause defects in either maintenance of pluripotency or cell fate specification 12, 13, 14. Therefore, there has been considerable interest in the examination of the DNA methylation profiles and chromatin landscape in pluripotent stem cells and lineage-committed cell types.

Promoter bivalency, characterized by trimethylation of both histone H3 lysine 4 (H3K4me3) and lysine 27 (H3K27me3) at gene promoters, has been proposed as an epigenetic mechanism for regulating development and proliferation 15, 16, 17, 18, 19, 20. These promoters are considered poised for activation (or repression) at a later stage, since they contain both active and repressive modifications. These genes are not transcribed in ES cells, but could either become activated during differentiation with concurrent loss of the methylation mark on H3K27 or silenced as indicated by loss of H3K4me3 15, 21. Given that not all repressed genes are targeted by H3K27me3, identifying which genes are influenced by this modification will be critical to understanding cell fate changes.

Regulation of chromatin state at specific enhancers may represent another epigenetic mechanism involved in pluripotency. We and others have demonstrated that transcriptional enhancers are characterized by the histone modification H3K4me1, and the presence of this mark is strongly correlated with tissue- and cell-type specific gene expression, suggesting a role for chromatin state in regulating enhancer activities 22, 23, 24. Recent studies have further shown that transcription factor binding and function at enhancers are strongly influenced by preexisting chromatin structure 25, 26, 27. More recently, Rada-Iglesias et al. examined the chromatin state in hESCs differentiating along a neural epithelium lineage, and uncovered two classes of enhancers distinguished by the presence or absence of lysine 27 acetylation on histone H3 (H3K27ac). The presence of this mark is indicative of active state of enhancers and correlated with activation of stem cell genes in the hESCs, while its absence coupled with presence of H3K4me1 would suggest a poised state that could become activated upon differentiation 28. Similar findings were also reported in mouse ES cells that undergo differentiation to neural progenitor cells 29.

To further characterize the role of chromatin modifications in self-renewal, pluripotency and differentiation, we have employed a new model of ES cell differentiation, which involves the treatment of hESCs grown in defined medium by BMP4, inducing them to exit the pluripotent state and enter a mixture state of mesendodermal and trophectodermal cells. We mapped epigenetic differences in undifferentiated ES cell (hESC) and differentiated ES cell (denoted as DFC) genomes. We have identified potential enhancers using chromatin signature patterns, and examined the dynamics of chromatin state at both promoters and enhancers during the differentiation of these cells. We found remarkable differences of chromatin dynamics at human promoters and enhancers. The chromatin state at promoters is generally stable during differentiation, with a small fraction undergoing changes that primarily involve a switch between active acetylation and repressive methylation at H3K27, which further allowed us to define a set of genes that appears to be important for maintenance of ES cell pluripotency, and another set that is involved in differentiation. The use of epigenetic changes distinguishes them from the larger group of differentially expressed genes. Our experiments identified over 50 000 potential enhancers in the undifferentiated ES cell and differentiated ES cell genomes, with a majority of the enhancers displaying marked changes in chromatin states in a manner that correlates with differential expression of their predicted target genes. These enhancers, and the factors predicted to bind them based on motif analysis, now provide a basis for future investigation into the regulatory networks of hESCs and differentiation. In addition, we also identified a set of poised enhancers marked by a distinct chromatin signature near developmentally important genes induced early in differentiation, underscoring the importance of enhancer elements in regulating differentiation. More importantly, this unique set of enhancer elements likely provides one means by which stem cells could respond to stimuli and differentiate to various cell types, in part becoming a key characteristic of pluripotency.

Results and Discussion

Genome-wide maps of chromatin state in hESC before and after differentiation

Low-passage (20-50) hESCs (H1) were grown in feeder cell-free medium TeSR1 as described 30. These hESCs express several known markers of stem cells including, OCT4, SOX2, NANOG, GDF3, DPPA4, DNMT3B, GABRB3, TDGF1, LEFTB, IFITM1, NODAL, GRB7, PODXL and CD9 31. To differentiate the hESCs, the cells were treated with BMP4 for 4-6 days (denoted as DFCs from here on), generating a heterogeneous cell population that is a mixture of mesendoderm (lineage markers: GATA4, GATA6, SOX17, FOXF1, GATA5 and CXCR4) 32, 33, 34, 35, 36, and trophectoderm (CDX2, GATA2 and GATA3; Supplementary information, Table S1) 37, 38, 39. We utilized chromatin immunoprecipitation coupled with genome-wide tiling microarrays (ChIP-chip) to map chromatin modifications in the genomes of both hESCs and DFCs 40. We focused on four modifications – H3K4me1, H3K4me3, H3K27ac and H3K27me3. Our previous studies demonstrated that the patterns of H3K4me1 and H3K4me3 profiles along the genome allow for identification of potential enhancers and promoters in particular cells 24. Additionally, the methylation at H3K27 has been demonstrated to play a critical role in silencing of gene expression in ES cells 41, 42. Our recent study suggested that H3K27 may also be acetylated at active gene promoters, as well as enhancers 23. By comparing the genome-wide maps of these four chromatin modifications from hESCs to those in DFCs, we hypothesized that we would be able to identify promoters and enhancers contributing to hESC and DFC identity.

Dynamic switch between acetylation and methylation at H3K27 during hESC differentiation

Promoters are key transcriptional regulatory sequences that integrate extracellular and intracellular inputs to control transcriptional initiation of genes. Previous studies have identified methylation of H3K4 and H3K27 at promoters to be important for the poised state of some key developmental regulator genes 15, 16, 17, 18, 19. To find whether additional promoters display dynamic changes in chromatin modification during ES cell differentiation, we examined modifications on H3K4 and H3K27 in both hESCs and DFCs. We found that the presence of H3K4me3 reveals little information in terms of gene activation: on a global scale, enrichment of this mark appears cell-type invariant during differentiation (Figure 1A and Supplementary information, Figure S1). This observation is in agreement with several recent studies finding this modification to be present at 70-80% of known transcription start sites (TSSs) 18, 19, 23, 43, 44, 45, 46. Interestingly, when we examined modifications to H3K27, we found a number of promoters displaying a switch between acetylation and methylation (Supplementary information, Figure S1). Trimethylation of this residue (H3K27me3) is a known marker of repressed promoters 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, in contrast to acetylation (H3K27ac), which is generally a hallmark of active chromatin 48, 49. These modifications were shown to be mutually exclusive in fly and human cells, with reciprocal changes in H3K27 acetylation and methylation mediated by changes in Drosophila CBP expression 50. Our results are in agreement, indicating that on a genome-wide scale these two modifications residing on the same residue are mutually exclusive: H3K27me3-marked promoters show no enrichment for H3K27ac, while those marked by H3K27ac are not enriched for H3K27me3.

Figure 1
Dynamic switch of H3K27 modifications at promoters. (A; left) Heat map of histone modifications H3K4me1, H3K4me3, H3K27ac and H3K27me3 within 5 kb of 22 047 TSSs, before and after differentiation. Middle: for each gene and cell type, we calculate the ...

To quantify how these modifications switch upon differentiation, we ranked TSSs by the change in levels of active H3K27ac and repressive H3K27me3: Cg = (H3K27acDFC – H3K27achESC) – (H3K27me3DFC – H3K27me3hESC) (Figure 1A and Supplementary information, Data S1). Genes with low Cg exhibit a combination of H3K27ac loss and H3K27me3 gain after differentiation. Examination of gene expression reveals that in general these genes are actively transcribed in hESCs and repressed in DFCs (Supplementary information, Table S1). This class of genes is of particular interest, as it contains the key stem cell transcription factors OCT4 (POU5F1), SOX2 and NANOG. For example, SOX2 shows hyperacetylation at H3K27 in hESCs that is lost following differentiation and becomes marked by H3K27me3 (Figure 1B). Additional genes showing the same active to repressive switch include notable transcription factors and signaling molecules likely important in the regulation of ESC pluripotency and self-renewal (Table 1 and Supplementary information, Table S2). For example, of just the few gene promoters included, a number of WNT signaling factors are revealed, including TCF7L1, FZD7, FZD8 and SFRP2. Also, targeted deletion of one gene on the list, FOXD3, resulted in a decreased ability of ES cells to self-renew and an increased tendency to differentiate to trophectoderm, endoderm, and mesendoderm 51. In addition, knockdown of another gene on the list, ZIC3, induced differentiation of ES cells to the endodermal lineage 52. These observations support the hypothesis that genes undergoing dynamic H3K27ac / H3K27me3 switch may play roles in pluripotency and self-renewal. Finally, we observe that based on the Cg metric of change in chromatin structure, OCT4, SOX2 and NANOG ranked 30, 1 and 155, respectively, among the top 1% of 22 047 genes. However, based on changes in gene expression, these genes would have ranked 2 591, 13 and 637, respectively, only among the top 12% of all genes. Thus, change in chromatin structure is a powerful method for categorizing functionally related genes.

Table 1
Representative transcription factors and signaling molecules associated with H3K27me3 following differentiation

In contrast, genes with high Cg show gain of H3K27ac and loss of H3K27me3 upon differentiation (Supplementary information, Table S2). These genes show the opposite expression pattern to that of low Cg genes, illustrating the close correlation between epigenetic modifications and gene expression. For example, the transcription factor gene HAND1 shows no H3K27ac in the hESC epigenome but is enveloped by H3K27me3-marked chromatin. Following differentiation, HAND1 undergoes a complete switch: losing H3K27me3, gaining H3K27ac and becoming actively expressed (Figure 1B). These results agree with recent findings examining H3K27me3 loss at developmentally important gene promoters 15, 19, 21, 44. Overall, ~5.7% of all promoters exhibit at least a 2-fold change in H3K27 chromatin state during hESC differentiation, defining a set of genes differentially marked and expressed between these cells. The change in chromatin state during a change in cell fate distinguishes this set of genes amongst the 12% that are differentially expressed. Given that only a fraction of genes are epigenetically repressed following differentiation, it may suggest these genes are at the top of the hierarchy of regulatory factors in the prior hESC state. Therefore, assessing changes in H3K27 acetylation and trimethylation may prove more advantageous than simply monitoring how H3K4/27me3 bivalent genes change knowing that monovalent H3K4me3 genes are not always expressed 15, 19, 43, 45, 46.

Genome-wide identification of enhancers in hESCs and early differentiation

Recent studies have suggested that enhancers play important roles in cell-type-specific and tissue-specific gene expression. To identify enhancers that regulate stem cell gene expression during differentiation, we employ a computational method that identifies potentially active enhancers based on chromatin modification patterns of H3K4me1 and H3K4me3 23, 24. This method predicts 28 809 enhancers in hESCs and 33 369 in DFCs (Figure 2A, Supplementary information, Data S1, Figure S2A and Table S3). This definition of enhancers is used throughout. A number of predicted hESC enhancers were near important regulators of pluripotency. For example, we predicted three hESC-specific enhancers upstream of FOXD3, a gene that is important for pluripotency and known to activate Nanog and Oct4 expression in mouse ESCs 51 (Figure 2B). The distribution of the chromatin-predicted enhancers is primarily distal to the TSSs, with ~50% lying in intergenic regions for each cell type and just over 40% falling in intragenic regions, above what is expected at random (Figure 2C and Supplementary information, Data S1). Additionally, these enhancers tend to be clustered, indicating that multiple enhancers may act together to drive gene expression (Supplementary information, Figure S2B; see below).

Figure 2
Enhancer features and cell-type specificity. (A; left) A heat map of histone modifications ± 5 kb of predicted enhancers, ranked based on differences in H3K27ac (DFC – hESC). Middle: the cell-type specificity of chromatin modifications ...

To identify the common themes of enhancer sequences and further elucidate the transcriptional regulatory mechanisms guiding ES cells and differentiation, we investigated if known transcription factor binding sites (TFBS) from the JASPAR and TRANSFAC databases were enriched at predicted enhancers in a cell-type-specific manner. We identified both hESC-specific motifs and DFC-specific motifs (Table 2 and Supplementary information, Tables S4). The high-confidence hESC-specific motifs include those that are recognized by KLF4 and c-MYC, two transcription factors that are capable of reprogramming human fibroblasts to become iPS cells when transduced with OCT4 and SOX2 31, 53, 54, 55. Also included in this list is a motif for FOXD3, which is known to be involved in maintaining mouse ESCs and in the hESC pluripotency gene regulatory network 56, 57. A joint OCT4:SOX2 motif in the TRANSFAC database was identified, consistent with the role of these two factors in regulating ES cell gene expression 58, 59. Additionally, a number of motifs are consistently found from both databases (Supplementary information, Table S4). In contrast to the hESC-specific motifs, the high-confidence DFC-specific enhancer motifs represent several transcription factors known to be involved in early development or differentiation, including Brachyury (mesoderm gene expression), FOXC1 (heart field specification), the Myf family (myogenesis) and ZEB1 (epithelial-mesenchymal transitions; Table 2) 60, 61, 62, 63. Of the transcription factor motifs that we classify at DFC-specific enhancers, none of the corresponding factors are known to play a role in human ESC maintenance or in reprogramming to an induced pluripotent state.

Table 2
Transcription factor binding site motifs enriched in hESC or DFC enhancers

If the predicted enhancers function in vivo, we expect significant binding of transcription factors. In order to test this hypothesis, we employed high-throughput sequencing coupled with chromatin immunoprecipitation (ChIP-Seq) to determine the binding sites for SOX2 and NANOG. We identified 4 818 SOX2 and 20 973 NANOG binding sites (FDR = 1%) using the MACS peak finding software 6 against a background of input hESC DNA. Comparing to putative hESC enhancers, 39.1% and 35.5% of the SOX2 and NANOG binding sites were recovered, respectively, compared with 3.9% and 4.6% at putative DFC enhancers (Figure 2D). Additionally, a number of binding sites not recovered by hESC enhancer predictions show a weak enrichment of H3K4me1 in hESCs but not DFCs, which may reflect enhancers missed by the prediction algorithm (Supplementary information, Figure S3). The presence of these key stem cell regulators at enhancers suggests a central role of enhancers in defining the ES cell gene expression program. These results indicate that other transcription factors with motifs enriched in hESC enhancers, such as KLF4, MYC and FOXD3, likely bind to the predicted hESC enhancers.

Dynamics of chromatin state at enhancers reveal cell-type-specific usage

Since promoters that undergo dynamic changes in chromatin structure generally belong to important stem cell and developmental genes, we wondered if chromatin dynamics at enhancers would identify potential sequences regulating the same processes. To assess the dynamics of chromatin modifications at human enhancers, we clustered H3K4me1, H3K4me3, H3K27me3 and H3K27ac at the H3K4me1-marked enhancers. Most predicted enhancers exhibit dramatic gains or losses of H3K4me1 and H3K27ac during differentiation (Supplementary information, Figure S2A). Of particular note is the general absence of H3K27me3 at these sequences, suggesting that this repressive modification is mainly found at promoters. In contrast, a significant number of enhancers are associated with H3K27ac. We ranked the predicted enhancers by the change in levels of acetylation between hESCs and DFCs: Ce = (H3K27acDFC – H3K27achESC) (Figure 2A). Just as individual enhancers studies have shown the presence of hyperacetylation 48, 49, 64, 65, 66, 67, 68, we find that hyperacetylated enhancers tend to be cell-type specific. In addition, hyperacetylated enhancers are nearer to upregulated genes than enhancers lacking acetylation (Figure 2A, expression heat map), suggesting a role of H3K27ac in modulating enhancer activity.

CTCF-organized regulatory domains predict enhancer targets

Genes regulated by enhancers marked in a cell-type-specific manner likely contribute to defining the unique abilities of stem cells. However, to find these target genes, we first need to link H3K4me1-marked enhancers to the genes they regulate. To do this, we focused on the vertebrate insulator binding protein CTCF 69, 70, which is known for its enhancer-blocking activity when bound between enhancers and promoters (for review, see 71, 72, 73). Focusing on 1% of the human genome, we had previously found that 90% of the CTCF-binding sites in hESCs are shared in DFCs, and others have made similar observations on the cell-type invariance of CTCF binding 23, 73, 74 (Supplementary information, Figure S4). Thus, as a map of CTCF binding in hESCs can be used as a proxy for CTCF binding in DFCs, we completed our cis-regulatory map by performing ChIP-chip to map 33 302 CTCF-binding sites genome wide (FDR = 1%) in the hESCs (Supplementary information, Table S5). Supporting the accuracy of this map, 70% of the hESC CTCF sites previously mapped in 1% of the human genome are recovered here.

We then partitioned the genome into CTCF-organized regulatory domains (CORDs). Each CORD is a cis-regulatory block containing at least one gene, and its outer boundaries are defined by CTCF-binding sites (Figure 3A). The median size of a CORD is 83 kb (Supplementary information, Figure S4C), the majority (57%) of CORDs contain only one promoter (Supplementary information, Figure S4D), and about half of all CORDs (51.3% in hESC and 50.9% in DFC) contain no predicted enhancers (Supplementary information, Figure S4E). From our observations above, we then assigned predicted enhancers to the promoters in the same CORD. If the model of CTCF function is true, then we expect hESC-specific enhancers to be highly enriched in CORDs containing hESC-specific genes compared to DFC-specific genes and vice versa. Using the Ce ranking from Figure 2A, we divided the predicted enhancers into three equal-sized groups that are hESC specific, nonspecific and DFC specific. We observed that hESC-specific enhancers are highly enriched within the CORDs containing the 1000 most hESC-specific genes. Similarly, DFC-specific enhancers are enriched within CORDs containing the 1000 most DFC upregulated genes (Figure 3B). In contrast, neighboring CORDs do not show enrichment of cell-type-specific enhancers (Figure 3C). These results suggest enhancers may play an important role in regulating gene expression from promoters in the same CORD.

Figure 3
Enrichment of cell-specific enhancers within CTCF-organized regulatory domain (CORDs) and enhancer validation. (A) Diagram of CORDs. Regions bounded by CTCF containing promoters and enhancers. (B) Distribution of hESC specific, DFC specific and nonspecific ...

Through the examination of enhancer enrichment relative to all genes within their respective CORD (See Supplementary information, Data S1), we observe that CORDs containing differentially expressed genes are enriched with cell-type-specific enhancers, while non-differentially expressed genes remain static for enhancer enrichment (Figure 4A). The dynamics of chromatin reorganization upon differentiation also reveals that enhancers are generally weak and act synergistically, as the number of enhancers increases within CORDs, differential expression also increases linearly on a log scale (Pearson correlation = 0.82; Supplementary information, Figure S5).

Figure 4
Subset of shared enhancers are poised for early response. (A) Enhancer enrichment relative to gene expression for three subsets of enhancers: those uniquely marked in hESCs (blue), those uniquely marked in DFCs (orange) and the remaining 8 863 that are ...

With this framework in place, we next set out to validate the function of enhancers potentially regulating key pluripotent genes. We cloned 17 enhancers downstream of the Luciferase gene in a reporter construct and measured the luciferase activity in hESCs after transient transfection. Of the 17 putative enhancer constructs tested in this assay, 14 (82%) showed higher level of enhancer activity (P = 0.01) compared to random genomic regions that showed no significant reporter activity (Figure 3D; see Materials and Methods). To examine the cell-type specificity of these predicted enhancers, we next tested them in different cell lines. Of the 15 successfully transfected into HeLa cells, only 1 (6.7%) tested positive (Figure 3D). To further assess enhancer cell-type specificity, we also tested 10 DFC-specifically predicted enhancers in hESCs, and only 2 (20%) showed activity (Supplementary information, Figure S4F). Together, these results support the accuracy and cell-type specificity of these predicted enhancers.

While reporter activity in a luciferase assay implies that an enhancer can function, it does not necessarily mean that an enhancer acts on an endogenous gene. To provide further evidence of endogenous gene activation, we examined the three-dimensional structure of chromatin near the FOXD3 gene. The FOXD3 CORD contains three hESC predicted enhancers: E1, E2 and E3 in decreasing distance from the TSS. We performed chromosome conformation capture (3C) 76 to measure the interaction strength between the FOXD3 promoter and these three predicted enhancers. We find that all three predicted enhancers showed significant interaction compared to (1) control regions not predicted to be enhancers (C2-C4 and C6), (2) hESC predicted enhancers outside the FOXD3 CORD (EC1 and EC7) and (3) the same regions in the MDA-MB-231 breast cancer cell line (Figure 3E). Interestingly, the enhancer displaying the strongest interaction strength with the FOXD3 promoter is E2, which also shows the strongest luciferase reporter activity, suggesting that it may be a key regulatory element regulating FOXD3 activity in hESCs. Together, these results suggest that enhancers within a CORD contribute to regulating the expression of genes within the CORD.

In light of the 3C validation of promoter-enhancer interactions, we extended our analysis to predict promoter targets within the CORDs of the top 1% of hESC-specific enhancers and DFC-specific enhancers based on Ce to identify additional genes contributing to the hESC and DFC expression program (Supplementary information, Table S6). These lists provide additional candidates for genes important in defining each cellular state. As confirmation, we discovered several putative enhancers in CORDs containing genes important for hESC regulation. A view of the SOX2 locus reveals a number of predicted enhancers downstream of the gene. To date, only a single enhancer has been identified in mouse ESCs, ~4 kb downstream of the TSS 77, which is also epigenetically marked as a predicted human enhancer in this region, and is one of several predicted enhancer elements downstream of the gene (Supplementary information, Figure S6A). We also predict several hESC-specifically marked enhancers in the CORDs containing OCT4 and NANOG (Supplementary information, Figure S6B and S6C), as well as a number of other genes required for ES cell pluripotency.

Genes regulated by cell-type-specific enhancers may contribute to defining each cellular state. Further examination of potential enhancer gene targets reveals JMJD2C, JARID2, LEFTY1, as well as other transcription factors, and MAP kinase signaling molecules in hESCs, while DFC enhancer targets reveal genes, such as several HOX and GATA factors (Supplementary information, Table S6). By linking enhancers to target promoters, our results allow for the expansion of regulatory networks and provide a more precise depiction of regulatory pathways in ES cells.

Chromatin dynamics at poised enhancers correlate with cell fate commitment

One of the most intriguing aspects of ES cells is their ability to differentiate into a variety of other cell types in the body in response to different environmental cues. Our analysis shows that there are three classes of H3K4me1-marked enhancers: those marked specifically in hESCs, those marked specifically in DFCs and those marked in both. While the first and second groups are enriched near genes specifically expressed in hESCs and DFCs, respectively, enhancers marked in both cell types are enriched near both hESC- and DFC-specific genes (Figure 4A and Supplementary information, Figure S7A). To further examine hESC differentiation, we examined this class of 8 863 shared enhancers that are marked before and after differentiation, reasoning that extracellular signaling may act through some of these sequences to activate a group of key regulators for cell fate determination.

Particularly interesting among these enhancers are those that are enriched in CORDs containing DFC-specific genes (Figure 4A). Many of these shared enhancers are only marked by H3K4me1 in ES cells, but upon differentiation they gain H3K27ac (Figure 4A and Supplementary information, Figure S7A). Since H3K27ac is a mark of activity that we have previously shown to overlap with H3K4me1 23, we hypothesized that these enhancers may be inactive in ES cells but poised and awaiting a regulatory signal to activate them, therefore giving rise to acetylation and differentiation. If true, then we expect these enhancers to be enriched near genes induced early during differentiation. When we examined the enrichment of shared enhancers near genes differentially upregulated at various time points during BMP4 treatment (3, 6, 12, 24, 48 and 120 h), we indeed observed that this set of poised enhancers is significantly enriched in CORDs containing early response genes (Figure 4C). This is in contrast to the most DFC-specific acetylated enhancers from Figure 3A (Supplementary information, Figure S7B) or the shared enhancers that lose acetylation and show no enrichment near the same genes (Figure 4D).

Interestingly, the enhancers in this category can be found near genes coding for the developmental transcription factors MSX1 and MEIS1, which are upregulated at 3 and 48 h, respectively. Each of these genes is highly expressed in DFCs, and their CORDs contain numerous shared enhancers, but H3K27ac only marks the enhancers in DFCs (Figure 4B). In addition, BMP4 itself as well as downstream factors SMAD3, SMAD6, SMAD7 and ID2 are also found in this category at 3 h. This set of genes contains a number of additional transcription factors, including HAND1, GATA3, CDX2, FOXO4, LEF, JUN and SOX9 (Supplementary information, Table S7). These seven factors along with SMAD3 all have TFBS motifs enriched in DFC-specific enhancers (Supplementary information, Table S4), suggesting these factors go on to establish the cell fate through transcriptional regulation at enhancers. Thus, our results suggest that poised enhancers may contribute to ES cell differentiation by pre-marking enhancers for genes likely responsible for early steps in differentiation. Our results are supported by two recent studies that also noted H3K27ac can distinguish active from poised enhancers in mouse and human ESCs 28, 29. However, distinct differences do exist. Besides species differences in the study by Creyghton et al., the study by Rada-Iglesias et al. in hESCs assesses activation by H3K27ac acquisition during differentiation to neuroectoderm. Additionally, our method excludes promoter-proximal H3K4me1 that partially overlaps with H3K4me3, defined as class II enhancers by Rada-Iglesias et al., as it can be challenging to distinguish where the enhancer ends and promoter begins. Finally, we have predicted the target genes of poised enhancers based on CORDs. In conclusion, in a manner similar to bivalent promoters, poised enhancers may provide one additional means by which pluripotency and developmental competence are maintained in ES cells.


In summary, we have analyzed chromatin modification landscapes in an in vitro model of hESC differentiation to identify potential genes and regulatory sequences contributing to pluripotency and lineage specification. We provide a global view of chromatin dynamics upon differentiation of hESCs along a largely mesendodermal lineage, laying the foundation for understanding how chromatin state is involved in regulating pluripotency and commitment to specific lineages. By assessing how chromatin state changes at promoters and enhancers during differentiation, we made several observations. First, a large number of promoters undergo a chromatin switch between methylation and acetylation at H3K27, which is strongly correlated with changes of gene expression. Importantly, such a chromatin state switch is most pronounced at promoters of genes involved in regulating pluripotency or cell fate determination, implicating the corresponding chromatin remodeling process in the regulation of pluripotency. Second, we show that the majority of enhancers mapped exhibit dramatic gain or loss of chromatin modifications H3K4me1 and H3K27ac during differentiation, and the dynamic chromatin modifications correlate with cell-type-specific gene expression within CORDs. The cell-type-specific enhancer regulation of genes within CORDs expands the potential of an ESC regulatory network. Third, we also identify a set of enhancers marked by H3K4me1 in hESCs and DFCs that become acetylated upon differentiation. This subset of enhancers bears the characteristic chromatin signature of poised enhancers 29. The poised enhancer state may allow for activation of early response genes important for the initial steps in differentiation (Figure 5). Our results therefore provide additional evidence supporting the role of epigenetic processes in regulating pluripotency and cell fate determination.

Figure 5
Model of cell-type-specific enhancers and poised enhancers in cell fate. This model illustrates the role of poised enhancers in hESC pluripotency and cell fate commitment. ES cells grown in the presence of BMP4 and bFGF give rise to three of four possible ...

Materials and Methods

Cell culture

For ChIP-chip experiments, passage 32 H1 cells were grown in mTeSR1 medium 30 on Matrigel (BD Biosciences, San Jose, California) for 5 passages. A total of 15 × 10 cm2 dishes were grown using standard mTeSR1 culture conditions and 20 × 10 cm2 dishes were cultured in mTeSR1 supplemented with 200 ng/ml BMP4 (RND systems, Minneapolis, MN) for 4-6 days post passage. When cells were ~70% confluent, they were crosslinked. To crosslink, 2.5 ml of crosslinking buffer (5 M NaCl, 0.5 M EDTA, 0.5 M EGTA, 1 M HEPES, pH 8, 37% fresh formaldehyde) was added to 10 ml culture medium and incubated at 37 °C for 30 min; 1.25 ml of 2.5 M glycine was added to stop the crosslinking reaction. Cells were removed from culture dish with a cell scraper, and collected by centrifugation for 10 min at 2 500 rpm. at 4 °C. Cells were washed three times with cold PBS. After the final spin, cells were pelleted and flash frozen using liquid nitrogen. BMP4-treated cells were subjected to the same procedure after 6 days of exposure.

For non-time course expression experiments, cells were grown in the same conditions as for ChIP-chip above for 4 days, and then RNA was harvested for analysis on NimbleGen microarrays (NimbleGen Systems). For the time course expression experiments, cells were grown in conditions similar to above, except that the BMP4 concentration was 50 ng/ml, and the cells were cultured for 5 days.

ChIP-chip and ChIP-Seq

ChIP-chip procedure and antibodies against H3K4me1, H3K4me3 and CTCF were previously described 24, 74, 78. Additional antibodies are commercially available (α-H3K27ac, ab4729, Abcam; α-H3K27me3, 07-44919, Upstate). ChIP-DNA samples were hybridized to NimbleGen HD microarrays (NimbleGen Systems). DNA was labeled according to NimbleGen Systems' protocol. Samples were hybridized at 42 °C for 16 h on a MAUI 12-bay hybridization station (BioMicro Systems). The GeneChip Microarray Core on the UCSD campus hybridized Affymetrix genome-wide tiling arrays according to the manufacturer's protocol. We used the Mpeak program to determine binding sites of CTCF peaks as previously described 74, 79 with the following modifications. Peaks consisted of at least three consecutive probes having a signal threshold above 1.5 standard deviations at a false discovery rate of 1%.

For ChIP-Seq, see Supplementary information, Data S1. All data are available through GEO, accession number: GSE30434.

Enhancer predictions

The procedure used to predict enhancers follows closely to that in 24. Specifically, we first bin the tiling ChIP-ChIP data into 100 bp bins, averaging multiple probes that fall into the same bin. Empty bins are interpolated if the distance between flanking non-empty bins is less than 1 kb, and set to 0 otherwise. We scan this binned data, keeping only those windows (1) in the top 10% of the intensity distribution and (2) having H3K4me1 and H3K4me3 profiles in the top 1% of all windows using the same training set of sites as in 24 (Figure 1A and and1B).1B). We use a discriminative filter on H3K4me1 and H3K4Me3 to keep only those sites that correlate with the averaged enhancer training set more than the promoter training set. Finally, we apply a descriptive filter on H3K4me1 and H3K4me3, keeping only those remaining predictions having a correlation of at least 0.5 with an averaged training set.

Gene expression analysis for hESCs and differentiated cells

For the non-time course gene expression analysis, we isolated the total RNA from H1 ES cells or BMP4-treated cells using Trizol (Life Technologies Inc., Carlsbad, CA) according to the manufacturer's recommendations. For the time course gene expression analysis, RNA was isolated using the Qiagen RNeasy (Qiagen) with the column DNase I digestion step included. PolyA RNA was then isolated using the Oligotex mRNA Mini Kit (Qiagen). The mRNA were then reversed transcribed, labeled, mixed with differently labeled sonicated genomic DNA and hybridized to a single array that tiled transcripts from ~36 000 human loci from the hg17 assembly (Roche NimbleGen). Detailed descriptions of array design, labeling, hybridization and data analysis are provided in the supplementary section (Supplementary information, Data S1). We set the expression level of genes in undifferentiated cells as 1 and calculated the relative fold change of individual genes in the differentiated cells.


This work is supported, in part, by funding from the California Institute of Regenerative Medicine (to BR; RS1-00292-1 and RN2-00905-1), the NIH (U01 ES017166-01) and the Ludwig Institute for Cancer Research.


(Supplementary information is linked to the online version of the paper on the Cell Research website.)

Supplementary Information

Supplementary information, Table S1

Table S1, related to Figure 1 Figure 1 Sorted Gene List and Expression Values Ranked by Cg.

Supplementary information, Table S2

Table S2, related to Figure 1 Top 1% genes exhibiting H3K27 switch following differentiation.

Supplementary information, Table S3

Table S3, related to Figure 2 Enhancers Predicted by Chromatin Signatures in hESC and DFC.

Supplementary information, Table S4

Table S4, related to Figure 2 Complete Motif List for Enhancers.

Supplementary information, Table S5

Table S5, related to Figure 3 CTCF Bound Sites.

Supplementary information, Table S6

Table S6, related to Figure 3 Genes within CTCF-defined domains with top enhancers (top 1% Ce ranking)

Supplementary information, Table S7

Table S7, related to Figure 4 Genes Up-regulated at 3hrs with Poised Enhancer.

Supplementary information, Figure S1

Figure S1, related to Figure 1 k-means cluster of modifications at 22 047 gene transcription start sites (center of 10-kb window).

Supplementary information, Figure S2

Figure S2, related to Figure 2

Supplementary information, Figure S3

Figure S3, related to Figure 2 Clustering of histone modifications at distal SOX2 and NANOG binding sites not predicted as enhancers.

Supplementary information, Figure S4

Figure S4, related to Figure 3 Additional analysis of CTCF binding site analysis and CTCF-defined domains.

Supplementary information, Figure S5

Figure S5, related to Figure 3 Changes in enhancer numbers correspond to changes in gene expression.

Supplementary information, Figure S6

Figure S6, related to Figure 3 UCSC Genome browser shots of histone modifications and enhancer predictions in CTCF-defined blocks (CORDs) containing (A) SOX2, (B) OCT4(POU5F1), (C) NANOG, and the (D) HOXB locus.

Supplementary information, Figure S7

Figure S7, related to Figure 4 Shared Enhancers May be Poised.

Supplementary information, Data S1

Supplemental Figures, Tables, Legends and Procedures for Hawkins, Hon et al.


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