Combinations Of Histone Modifications Research Articles

Single-cell joint profiling of multiple epigenetic proteins and gene transcription.

Sculpting the epigenome with a combination of histone modifications and transcription factor occupancy determines gene transcription and cell fate specification. Here, we first develop uCoTarget, utilizing a split-pool barcoding strategy for realizing ultrahigh-throughput single-cell joint profiling of multiple epigenetic proteins. Through extensive optimization for sensitivity and multimodality resolution, we demonstrate that uCoTarget enables simultaneous detection of five histone modifications (H3K27ac, H3K4me3, H3K4me1, H3K36me3, and H3K27me3) in 19,860 single cells. We applied uCoTarget to the in vitro generation of hematopoietic stem/progenitor cells (HSPCs) from human embryonic stem cells, presenting multimodal epigenomic profiles in 26,418 single cells. uCoTarget reveals establishment of pairing of HSPC enhancers (H3K27ac) and promoters (H3K4me3) and RUNX1 engagement priming for H3K27ac activation along the HSPC path. We then develop uCoTargetX, an expansion of uCoTarget to simultaneously measure transcriptome and multiple epigenome targets. Together, our methods enable generalizable, versatile multimodal profiles for reconstructing comprehensive epigenome and transcriptome landscapes and analyzing the regulatory interplay at single-cell level.

Characterizing cis-regulatory elements using single-cell epigenomics.

Cell type-specific gene expression patterns and dynamics during development or in disease are controlled by cis-regulatory elements (CREs), such as promoters and enhancers. Distinct classes of CREs can be characterized by their epigenomic features, including DNA methylation, chromatin accessibility, combinations of histone modifications and conformation of local chromatin. Tremendous progress has been made in cataloguing CREs in the human genome using bulk transcriptomic and epigenomic methods. However, single-cell epigenomic and multi-omic technologies have the potential to provide deeper insight into cell type-specific gene regulatory programmes as well as into how they change during development, in response to environmental cues and through disease pathogenesis. Here, we highlight recent advances in single-cell epigenomic methods and analytical tools and discuss their readiness for human tissue profiling.

Putative Causal Variants Are Enriched in Annotated Functional Regions From Six Bovine Tissues.

Genetic variants which affect complex traits (causal variants) are thought to be found in functional regions of the genome. Identifying causal variants would be useful for predicting complex trait phenotypes in dairy cows, however, functional regions are poorly annotated in the bovine genome. Functional regions can be identified on a genome-wide scale by assaying for post-translational modifications to histone proteins (histone modifications) and proteins interacting with the genome (e.g., transcription factors) using a method called Chromatin immunoprecipitation followed by sequencing (ChIP-seq). In this study ChIP-seq was performed to find functional regions in the bovine genome by assaying for four histone modifications (H3K4Me1, H3K4Me3, H3K27ac, and H3K27Me3) and one transcription factor (CTCF) in 6 tissues (heart, kidney, liver, lung, mammary and spleen) from 2 to 3 lactating dairy cows. Eighty-six ChIP-seq samples were generated in this study, identifying millions of functional regions in the bovine genome. Combinations of histone modifications and CTCF were found using ChromHMM and annotated by comparing with active and inactive genes across the genome. Functional marks differed between tissues highlighting areas which might be particularly important to tissue-specific regulation. Supporting the cis-regulatory role of functional regions, the read counts in some ChIP peaks correlated with nearby gene expression. The functional regions identified in this study were enriched for putative causal variants as seen in other species. Interestingly, regions which correlated with gene expression were particularly enriched for potential causal variants. This supports the hypothesis that complex traits are regulated by variants that alter gene expression. This study provides one of the largest ChIP-seq annotation resources in cattle including, for the first time, in the mammary gland of lactating cows. By linking regulatory regions to expression QTL and trait QTL we demonstrate a new strategy for identifying causal variants in cattle.

Fine genetic mapping of the chromosome 11q23.3 region in a Han Chinese population: insights into the apolipoprotein genes underlying the blood lipid-lipoprotein variances

The unusual chromosome 11q23.3 harboring the apolipoprotein (APO) gene cluster has been well documented for its essential roles in plasma lipid-related traits and atherosclerotic cardiovascular diseases. However, its genetic architecture and the potential biological mechanisms underlying complex phenotypes have not been well assessed. We conducted a study for this target region in a Han Chinese population through a stepwise forward framework based on massive parallel sequencing, association analyses, genetic fine mapping, and functional interpretation. The present study identified new meaningful genetic associations that were not simply determined by statistical significance. In addition to the APOA5 gene, we found robust evidence of the genetic commitments of APOC3 and APOA1 to blood lipids. Several variants with high confidence were prioritized along with the potential biological mechanism interpretations in the wake of adaptive fine-mapping analyses. rs2849174 in the APOC3 enhancer was discovered with an unrivaled posterior probability of causality for triglyceride levels and could mediate APOC3 expression through enhancer activity modulated by a combination of histone modifications and transcription factor accessibility. Similarly, multiple lines of evidence converged in favor of rs3741297 as a causal variant influencing high-density lipoprotein cholesterol. Our findings provided novel insights into this genomic locus in the Chinese population.

Masakari: visualization supported statistical analysis of genome segmentations

BackgroundIn epigenetics, the change of the combination of histone modifications at the same genomic location during cell differentiation is of great interest for understanding the function of these modifications and their combinations. Besides analyzing them locally for individual genomic locations or globally using correlations between different cells types, intermediate level analyses of these changes are of interest. More specifically, the different distributions of these combinations for different cell types, respectively, are compared to gain new insights.Results and discussionWe propose a new tool called ‘Masakari’ that allows segmenting genomes based on lists of ranges having a certain property, e.g., peaks describing histone modifications. It provides a graphical user interface allowing to select all data sets and setting all parameters needed for the segmentation process. Moreover, the graphical user interface provides statistical graphics allowing to assess the quality and suitability of the segmentation and the selected data.ConclusionMasakari provides statistics based visualizations and thus fosters insights into the combination of histone modification marks on genome ranges, and the differences of the distribution of these combinations between different cell types.

EPIGENE: genome-wide transcription unit annotation using a multivariate probabilistic model of histone modifications

BackgroundUnderstanding the transcriptome is critical for explaining the functional as well as regulatory roles of genomic regions. Current methods for the identification of transcription units (TUs) use RNA-seq that, however, require large quantities of mRNA rendering the identification of inherently unstable TUs, e.g. miRNA precursors, difficult. This problem can be alleviated by chromatin-based approaches due to a correlation between histone modifications and transcription.ResultsHere, we introduce EPIGENE, a novel chromatin segmentation method for the identification of active TUs using transcription-associated histone modifications. Unlike the existing chromatin segmentation approaches, EPIGENE uses a constrained, semi-supervised multivariate hidden Markov model (HMM) that models the observed combination of histone modifications using a product of independent Bernoulli random variables, to identify active TUs. Our results show that EPIGENE can identify genome-wide TUs in an unbiased manner. EPIGENE-predicted TUs show an enrichment of RNA Polymerase II at the transcription start site and in gene body indicating that they are indeed transcribed. Comprehensive validation using existing annotations revealed that 93% of EPIGENE TUs can be explained by existing gene annotations and 5% of EPIGENE TUs in HepG2 can be explained by microRNA annotations. EPIGENE outperformed the existing RNA-seq-based approaches in TU prediction precision across human cell lines. Finally, we identified 232 novel TUs in K562 and 43 novel cell-specific TUs all of which were supported by RNA Polymerase II ChIP-seq and Nascent RNA-seq data.ConclusionWe demonstrate the applicability of EPIGENE to identify genome-wide active TUs and to provide valuable information about unannotated TUs. EPIGENE is an open-source method and is freely available at: https://github.com/imbbLab/EPIGENE.

HCVS: Pinpointing Chromatin States Through Hierarchical Clustering and Visualization Scheme

Background: Specific combinations of Histone Modifications (HMs) contributing towards histone code hypothesis lead to various biological functions. HMs combinations have been utilized by various studies to divide the genome into different regions. These study regions have been classified as chromatin states. Mostly Hidden Markov Model (HMM) based techniques have been utilized for this purpose. In case of chromatin studies, data from Next Generation Sequencing (NGS) platforms is being used. Chromatin states based on histone modification combinatorics are annotated by mapping them to functional regions of the genome. The number of states being predicted so far by the HMM tools have been justified biologically till now. Objective: The present study aimed at providing a computational scheme to identify the underlying hidden states in the data under consideration. </P><P> Methods: We proposed a computational scheme HCVS based on hierarchical clustering and visualization strategy in order to achieve the objective of study. Results: We tested our proposed scheme on a real data set of nine cell types comprising of nine chromatin marks. The approach successfully identified the state numbers for various possibilities. The results have been compared with one of the existing models as well which showed quite good correlation. Conclusion: The HCVS model not only helps in deciding the optimal state numbers for a particular data but it also justifies the results biologically thereby correlating the computational and biological aspects.

Epigenetic programming at the Mogat1 locus may link neonatal overnutrition with long-term hepatic steatosis and insulin resistance.

Postnatal overfeeding increases the risk of chronic diseases later in life, including obesity, insulin resistance, hepatic steatosis, and type 2 diabetes. Epigenetic mechanisms might underlie the long-lasting effects associated with early nutrition. Here we aimed to explore the molecular pathways involved in early development of insulin resistance and hepatic steatosis, and we examined the potential contribution of DNA methylation and histone modifications to long-term programming of metabolic disease. We used a well-characterized mouse model of neonatal overfeeding and early adiposity by litter size reduction. Neonatal overfeeding led to hepatic insulin resistance very early in life that persisted throughout adulthood despite normalizing food intake. Up-regulation of monoacylglycerol O-acyltransferase ( Mogat) 1 conceivably mediates hepatic steatosis and insulin resistance through increasing intracellular diacylglycerol content. Early and sustained deregulation of Mogat1 was associated with a combination of histone modifications that might favor Mogat1 expression. In sum, postnatal overfeeding causes extremely rapid derangements of hepatic insulin sensitivity that remain relatively stable until adulthood. Epigenetic mechanisms, particularly histone modifications, could contribute to such long-lasting effects. Our data suggest that targeting hepatic monoacylglycerol acyltransferase activity during early life might provide a novel strategy to improve hepatic insulin sensitivity and prevent late-onset insulin resistance and fatty liver disease.-Ramon-Krauel, M., Pentinat, T., Bloks, V. W., Cebrià, J., Ribo, S., Pérez-Wienese, R., Vilà, M., Palacios-Marin, I., Fernández-Pérez, A., Vallejo, M., Téllez, N., Rodríguez, M. À., Yanes, O., Lerin, C., Díaz, R., Plosch, T., Tietge, U. J. F., Jimenez-Chillaron, J. C. Epigenetic programming at the Mogat1 locus may link neonatal overnutrition with long-term hepatic steatosis and insulin resistance.

Histone modification patterns in highly differentiation cells

Nucleosomes and modifications on the histones constitute the fundamental genomic structure of eukaryotes. It was reported that particular combinations of histone modifications occurring on the genome indicate specific chromatin states, which are related to a series of cell states. Although the histone code principle has been found for over a decade, the mechanism of the code is not yet known clearly. In this paper, we first conducted an extensive analysis on 38 histone modifications and 1 histone variant in human CD4+ T cells to reveal possible connections among these modifications. Then, we analyzed the different roles that histone modifications play in highly differentiated cells and undifferentiated cells, and found that the number of histone modifications on genes of differentiated cells is correlated to the expression levels of genes, while there is no direct effect of histone modification on gene expression level in undifferentiated cells. Finally, we compared the distributions of histone modifications of CD4+ T cell line and K562 cell line, and observed that they have similar distribution patterns. So we guess that there may exist certain conservative regions of histone modifications.

Epigenetic priming of inflammatory response genes by high glucose in adipose progenitor cells

Cellular metabolism confers wide-spread epigenetic modifications required for regulation of transcriptional networks that determine cellular states. Mesenchymal stromal cells are responsive to metabolic cues including circulating glucose levels and modulate inflammatory responses. We show here that long term exposure of undifferentiated human adipose tissue stromal cells (ASCs) to high glucose upregulates a subset of inflammation response (IR) genes and alters their promoter histone methylation patterns in a manner consistent with transcriptional de-repression. Modeling of chromatin states from combinations of histone modifications in nearly 500 IR genes unveil three overarching chromatin configurations reflecting repressive, active, and potentially active states in promoter and enhancer elements. Accordingly, we show that adipogenic differentiation in high glucose predominantly upregulates IR genes. Our results indicate that elevated extracellular glucose levels sensitize in ASCs an IR gene expression program which is exacerbated during adipocyte differentiation. We propose that high glucose exposure conveys an epigenetic ‘priming’ of IR genes, favoring a transcriptional inflammatory response upon adipogenic stimulation. Chromatin alterations at IR genes by high glucose exposure may play a role in the etiology of metabolic diseases.

Global loss of DNA methylation uncovers intronic enhancers in genes showing expression changes.

BackgroundGene expression is epigenetically regulated by a combination of histone modifications and methylation of CpG dinucleotides in promoters. In normal cells, CpG-rich promoters are typically unmethylated, marked with histone modifications such as H3K4me3, and are highly active. During neoplastic transformation, CpG dinucleotides of CG-rich promoters become aberrantly methylated, corresponding with the removal of active histone modifications and transcriptional silencing. Outside of promoter regions, distal enhancers play a major role in the cell type-specific regulation of gene expression. Enhancers, which function by bringing activating complexes to promoters through chromosomal looping, are also modulated by a combination of DNA methylation and histone modifications.ResultsHere we use HCT116 colorectal cancer cells with and without mutations in DNA methyltransferases, the latter of which results in a 95% reduction in global DNA methylation levels. These cells are used to study the relationship between DNA methylation, histone modifications, and gene expression. We find that the loss of DNA methylation is not sufficient to reactivate most of the silenced promoters. In contrast, the removal of DNA methylation results in the activation of a large number of enhancer regions as determined by the acquisition of active histone marks.ConclusionsAlthough the transcriptome is largely unaffected by the loss of DNA methylation, we identify two distinct mechanisms resulting in the upregulation of distinct sets of genes. One is a direct result of DNA methylation loss at a set of promoter regions and the other is due to the presence of new intragenic enhancers.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-014-0469-0) contains supplementary material, which is available to authorized users.

Evolutionary conservation of the eumetazoan gene regulatory landscape

Despite considerable differences in morphology and complexity of body plans among animals, a great part of the gene set is shared among Bilateria and their basally branching sister group, the Cnidaria. This suggests that the common ancestor of eumetazoans already had a highly complex gene repertoire. At present it is therefore unclear how morphological diversification is encoded in the genome. Here we address the possibility that differences in gene regulation could contribute to the large morphological divergence between cnidarians and bilaterians. To this end, we generated the first genome-wide map of gene regulatory elements in a nonbilaterian animal, the sea anemone Nematostella vectensis. Using chromatin immunoprecipitation followed by deep sequencing of five chromatin modifications and a transcriptional cofactor, we identified over 5000 enhancers in the Nematostella genome and could validate 75% of the tested enhancers in vivo. We found that in Nematostella, but not in yeast, enhancers are characterized by the same combination of histone modifications as in bilaterians, and these enhancers preferentially target developmental regulatory genes. Surprisingly, the distribution and abundance of gene regulatory elements relative to these genes are shared between Nematostella and bilaterian model organisms. Our results suggest that complex gene regulation originated at least 600 million yr ago, predating the common ancestor of eumetazoans.

Global loss of DNA methylation uncovers intronic enhancers in genes showing expression changes

Gene expression is epigenetically regulated by a combination of histone modifications and methylation of CpG dinucleotides in promoters. In normal cells, CpG-rich promoters are typically unmethylated, marked with histone modifications such as H3K4me3, and are highly active. During neoplastic transformation, CpG dinucleotides of CG-rich promoters become aberrantly methylated, corresponding with the removal of active histone modifications and transcriptional silencing. Outside of promoter regions, distal enhancers play a major role in the cell type-specific regulation of gene expression. Enhancers, which function by bringing activating complexes to promoters through chromosomal looping, are also modulated by a combination of DNA methylation and histone modifications. Here we use HCT116 colorectal cancer cells with and without mutations in DNA methyltransferases, the latter of which results in a 95% reduction in global DNA methylation levels. These cells are used to study the relationship between DNA methylation, histone modifications, and gene expression. We find that the loss of DNA methylation is not sufficient to reactivate most of the silenced promoters. In contrast, the removal of DNA methylation results in the activation of a large number of enhancer regions as determined by the acquisition of active histone marks. Although the transcriptome is largely unaffected by the loss of DNA methylation, we identify two distinct mechanisms resulting in the upregulation of distinct sets of genes. One is a direct result of DNA methylation loss at a set of promoter regions and the other is due to the presence of new intragenic enhancers.

Polycomb/Trithorax group proteins collaborate with Heterochromatin protein 1 to regulate Drosophila sex determination

Background A combination of histone modifications, a ‘histone epigenetic code’, is created and altered by specific enzymes, and recognized by proteins that bind to these modifications through specific domains [1]. These proteins modify the chromatin environment for precise transcriptional regulation. Some of these well studied chromatin remodeling complexes include the Polycomb and the Trithorax Group Proteins (PcG and Trx-G). The two groups are primarily antagonistic and control patterning of the body during embryogenesis, through the regulation of gene expression. The Polycomb Repressive Complexes mediate the initiation of gene repression and its maintenance. The Trx-G proteins are involved in maintaining the activation of gene expression [1]. In Drosophila, one of the earliest developmental decisions made in the embryo is that of determining its sex. This process involves regulating the expression of the X chromosome sensing promoter of Sex-lethal (Sxl) at its establishment promoter, Sxlpe [2]. Using this sensitive system which differentiates one versus two X chromosomes, our lab has shown that heterochromatin proteins are required for proper Sxlpe regulation. We found that Heterochromatin Protein 1 a (HP1a) plays both a repressive and activating role in regulating Sxlpe [3].

Analysis for the Combinations of Histone Modifications in S.Cerevisiae

ABSTRACTIt is known that multiple histone modifications act in a combinatorial fashion to form a ‘histone code’. In this study, the pathways within Bayesian networks of histone modifications constructed indicated the combinatorial and causative relationships among 12 histone modifications studied at the region TSS + 1 kb in S. cerevisiae. After Bayesian networks for the genes with high transcript levels and low transcript levels were constructed, all combinations of histone modifications that the two networks indicated were analyzed. The results showed that four combinations were necessary for gene transcription. Other combinations played different roles in the regulation of gene transcription. In addition, our analysis suggested that the combinations in the top layer within the networks might affect the downstream histone modifications and associate with Pol II.

Combinations of Histone Modifications Mark Exon Inclusion Levels

Splicing is a complex process regulated by sequence at the classical splice sites and other motifs in exons and introns with an enhancing or silencing effect. In addition, specific histone modifications on nucleosomes positioned over the exons have been shown to correlate both positively and negatively with exon expression. Here, we trained a model of “IF … THEN …” rules to predict exon inclusion levels in a transcript from histone modification patterns. Furthermore, we showed that combinations of histone modifications, in particular those residing on nucleosomes preceding or succeeding the exon, are better predictors of exon inclusion levels than single modifications. The resulting model was evaluated with cross validation and had an average accuracy of 72% for 27% of the exons, which demonstrates that epigenetic signals substantially mark alternative splicing.

Abstract 73: PELP1 is a novel reader of chromatin modifications: Implications in cancer progression

Abstract Cancer is caused by abnormalities of the genome and epigenome including the frequently occurring epigenetic changes of histone modifications. Specifically, estrogen-induced breast carcinogenesis is characterized by alterations in histone modifications. Reader proteins that recognize these modifications facilitate modulation of genes and their resulting biological actions. In addition to regulation by several coregulators, estrogen receptor alpha (ERα) transcriptional activation or repression depends on the modulation of histone methylation at target promoters. The ERα coregulator PELP1 plays an important role in ERα signaling, is a proto-oncogene with aberrant expression in hormone-related cancers and a prognostic indicator of decreased survival in breast cancer patients. The molecular mechanisms by which PEPL1 promotes oncogenesis remain unknown; however, previous studies from our lab have shown that PELP1 interacts with histones and is a novel reader of chromatin modifications. To explore the PELP1 epigenetic interactome, we used a histone peptide array containing 384 unique combinations of histone modifications including methylation, phosphorylation, acetylation and citrullination. Our results show that PELP1 uniquely recognizes histones modified by arginine dimethylation, arginine citrullination and lysine dimethylation. Phosphorylation of residues adjacent to a methyl modification affects the ability of PELP1 to recognize histone methylation. Using various deletions of PELP1 peptides, we have found that PELP1 acts as a module for recognition of a specific histone modification through the carboxyl-terminal glutamic acid rich region. Reporter gene assays showed that PELP1 functionally interacts with arginine methyltransferases including CARM1 and PRMT6, both shown to be dysregulated in human cancers, and synergistically enhances ERα-transactivation. Chromatin immunoprecipitation assays revealed that PELP1 has the potential to alter histone H3 arginine methylation status at ERα target gene promoters. The critical role of PELP1 status in modulating arginine methylation status was also observed through in vivo studies which show PELP1 knockdown results in decreased tumorigenesis and arginine dimethylation. Our findings suggest that PELP1 is a reader of histone methyl modifications and deregulation may have implications on tumor proliferation via epigenetic alterations at ERα target promoters. Targeting these epigenetic alterations through inhibition of PELP1 and the arginine methyltransferases could be a promising cancer therapeutic. This study was funded by NIH grant CA095681. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 73. doi:10.1158/1538-7445.AM2011-73

Combinatorial effects of four histone modifications in transcription and differentiation

Nucleosomes are involved in DNA compaction and transcriptional regulation. Yet it is unclear whether histone modification marks are primary or secondary to transcription and whether they interact to form a histone code. We investigated the relationship between transcription and four histone modifications (H4ac, H3ac, H3K4me2/3) using ChIP–chip and expression microarray readouts from two murine cell lines, one in two differentiation stages. We found that their association with transcript levels strongly depends on the combination of histone modifications. H3K4me2 coincides with elevated expression levels only in combination with acetylation, while H3ac positive association is diminished by co-occurring modifications. During differentiation, upregulated transcripts frequently gain H4ac, while most modification conversions are uncorrelated with expression changes. Our results suggest histone modifications form a code, as their combinatorial composition is associated with distinct readouts. Histones may primarily function as signaling marks for specific effectors rather than being a sufficient driving force for or a consequence of transcription.

Mouse Polycomb Proteins Bind Differentially to Methylated Histone H3 and RNA and Are Enriched in Facultative Heterochromatin

The chromodomain (CD) of the Drosophila Polycomb protein exhibits preferential binding affinity for histone H3 when trimethylated at lysine 27. Here we have investigated the five mouse Polycomb homologs known as Cbx2, Cbx4, Cbx6, Cbx7, and Cbx8. Despite a high degree of conservation, the Cbx chromodomains display significant differences in binding preferences. Not all CDs bind preferentially to K27me3; rather, some display affinity towards both histone H3 trimethylated at K9 and H3K27me3, and one CD prefers K9me3. Cbx7, in particular, displays strong affinity for both H3K9me3 and H3K27me3 and is developmentally regulated in its association with chromatin. Cbx7 associates with facultative heterochromatin and, more specifically, is enriched on the inactive X chromosome. Finally, we find that, in vitro, the chromodomain of Cbx7 can bind RNA and that, in vivo, the interaction of Cbx7 with chromatin, and the inactive X chromosome in particular, depends partly on its association with RNA. We propose that the capacity of this mouse Polycomb homolog to associate with the inactive X chromosome, or any other region of chromatin, depends not only on its chromodomain but also on the combination of histone modifications and RNA molecules present at its target sites.

Combinatorial Analysis of Transcription Factor Partners Reveals Recruitment of c-MYC to Estrogen Receptor-α Responsive Promoters

In breast cancer and normal estrogen target tissues, estrogen receptor-alpha (ERalpha) signaling results in the establishment of spatiotemporal patterns of gene expression. Whereas primary target gene regulation by ERalpha involves recruitment of coregulatory proteins, coactivators, or corepressors, activation of these downstream promoters by receptor signaling may also involve partnership of ERalpha with other transcription factors. By using an integrated, genome-wide approach that involves ChIP-chip and computational modeling, we uncovered 13 ERalpha-responsive promoters containing both ERalpha and c-MYC binding elements located within close proximity (13-214 bp) to each other. Estrogen stimulation enhanced the c-MYC-ERalpha interaction and facilitated the association of ERalpha, c-MYC, and the coactivator TRRAP with these estrogen-responsive promoters, resulting in chromatin remodeling and increased transcription. These results suggest that ERalpha and c-MYC physically interact to stabilize the ERalpha-coactivator complex, thereby permitting other signal transduction pathways to fine-tune estrogen-mediated signaling networks.