Mapping ERβ genomic binding sites reveals unique genomic features and identifies EBF1 as an ERβ interactor
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE48161 | GEO | 2013/06/21
SECONDARY ACCESSION(S): PRJNA209059
REPOSITORIES: GEO
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Project description:Considerable effort by numerous laboratories has resulted in an improved understanding of estrogen and SERM action mediated by the two estrogen receptors, ERα and ERβ. However, many of the targets for ERβ in cell physiology remain elusive. Here, the C4-12/Flag.ERβ cell line which stably expressed Flag.ERβ is used to study ERβ genomic functions without ERα interference. Mapping ERβ binding sites in these cells reveals ERβ unique distribution and motif enrichment patterns. Accompanying our mapping results, nascent RNA profiling is performed on cells at the same treatment time. The combined results allow the identification of ERβ target genes. Gene ontology analysis reveals that ERβ targets are enriched in differentiation, development and apoptosis. Concurrently, E2 treatment suppresses proliferation in these cells. Within ERβ binding sites, while the most prevalent binding motif is the canonical ERE, motifs of known ER interactors are also enriched in ERβ binding sites. Moreover, among enriched binding motifs are those of GFI, REST and EBF1, which are unique to ERβ binding sites in these cells. Further characterization confirms the association between EBF1 and the estrogen receptors, which favors the N-terminal region of the receptor. Furthermore, EBF1 negatively regulates ERs at the protein level. In summary, by studying ERβ genomic functions in our cell model, we confirm the anti-proliferative role of ERβ and discover the novel cross talk of ERβ with EBF1 which has various implications in normal physiology.
| S-EPMC3738513 | biostudies-literature
Project description:The C4-12/Flag.ERβ cell line which stably expressed Flag.ERβ is used to study ERβ genomic functions without ERα interference. Mapping ERβ binding sites in these cells reveals ERβ unique distribution and motif enrichment patterns. Accompanying our mapping results, nascent RNA profiling is performed on cells at the same treatment time. The combined results allow the identification of ERβ target genes. Gene ontology analysis reveals that ERβ targets are enriched in differentiation, development and apoptosis. Concurrently, E2 treatment suppresses proliferation in these cells. Within ERβ binding sites, while the most prevalent binding motif is the canonical ERE, motifs of known ER interactors are also enriched in ERβ binding sites. Moreover, among enriched binding motifs are those of GFI, REST and EBF1, which are unique to ERβ binding sites in these cells. Further characterization confirms the association between EBF1 and the estrogen receptors, which favors the N-terminal region of the receptor. Furthermore, EBF1 negatively regulates ERs at the protein level. In summary, by studying ERβ genomic functions in our cell model, we confirm the anti-proliferative role of ERβ and discover the novel cross talk of ERβ with EBF1 which has various implications in normal physiology. C4-12/Flag.ERβ cells were treated with 10nM E2 for 1 hour then crosslinked with 1% formaldehyde; EtOH treatment was used as control. Crosslinked samples were processed for ChIP-seq and sequenced with Illumina Genome Analyzer II and aligned to hg18. QuEST was used as the peak-calling software, using default parameters recommended to analyze transcription factor ChIP-seq data. The entire ChIP-seq process was performed once on each sample (Vehicle or E2-treated).
2013-06-21 | E-GEOD-48096 | biostudies-arrayexpress
Project description:The C4-12/Flag.ERβ cell line which stably expressed Flag.ERβ is used to study ERβ genomic functions without ERα interference. Mapping ERβ binding sites in these cells reveals ERβ unique distribution and motif enrichment patterns. Accompanying our mapping results, nascent RNA profiling is performed on cells at the same treatment time. The combined results allow the identification of ERβ target genes. Gene ontology analysis reveals that ERβ targets are enriched in differentiation, development and apoptosis. Concurrently, E2 treatment suppresses proliferation in these cells. Within ERβ binding sites, while the most prevalent binding motif is the canonical ERE, motifs of known ER interactors are also enriched in ERβ binding sites. Moreover, among enriched binding motifs are those of GFI, REST and EBF1, which are unique to ERβ binding sites in these cells. Further characterization confirms the association between EBF1 and the estrogen receptors, which favors the N-terminal region of the receptor. Furthermore, EBF1 negatively regulates ERs at the protein level. In summary, by studying ERβ genomic functions in our cell model, we confirm the anti-proliferative role of ERβ and discover the novel cross talk of ERβ with EBF1 which has various implications in normal physiology. C4-12/Flag.ERβ cells were treated with 10nM E2 (or ethanol as vehicle control) for 1 hour. Nuclei were extracted and processed with run-on assay. The resultant run-on RNA was reverse-transcribed to generate cDNA library which was subsequently sequenced by Illumina Genome Analyzer II or HiSeq2000. Two samples for each treatment were included in this experiment.
2013-06-21 | E-GEOD-48159 | biostudies-arrayexpress
Project description:The C4-12/Flag.ERβ cell line which stably expressed Flag.ERβ is used to study ERβ genomic functions without ERα interference. Mapping ERβ binding sites in these cells reveals ERβ unique distribution and motif enrichment patterns. Accompanying our mapping results, nascent RNA profiling is performed on cells at the same treatment time. The combined results allow the identification of ERβ target genes. Gene ontology analysis reveals that ERβ targets are enriched in differentiation, development and apoptosis. Concurrently, E2 treatment suppresses proliferation in these cells. Within ERβ binding sites, while the most prevalent binding motif is the canonical ERE, motifs of known ER interactors are also enriched in ERβ binding sites. Moreover, among enriched binding motifs are those of GFI, REST and EBF1, which are unique to ERβ binding sites in these cells. Further characterization confirms the association between EBF1 and the estrogen receptors, which favors the N-terminal region of the receptor. Furthermore, EBF1 negatively regulates ERs at the protein level. In summary, by studying ERβ genomic functions in our cell model, we confirm the anti-proliferative role of ERβ and discover the novel cross talk of ERβ with EBF1 which has various implications in normal physiology.
2013-06-21 | GSE48096 | GEO
Project description:The C4-12/Flag.ERβ cell line which stably expressed Flag.ERβ is used to study ERβ genomic functions without ERα interference. Mapping ERβ binding sites in these cells reveals ERβ unique distribution and motif enrichment patterns. Accompanying our mapping results, nascent RNA profiling is performed on cells at the same treatment time. The combined results allow the identification of ERβ target genes. Gene ontology analysis reveals that ERβ targets are enriched in differentiation, development and apoptosis. Concurrently, E2 treatment suppresses proliferation in these cells. Within ERβ binding sites, while the most prevalent binding motif is the canonical ERE, motifs of known ER interactors are also enriched in ERβ binding sites. Moreover, among enriched binding motifs are those of GFI, REST and EBF1, which are unique to ERβ binding sites in these cells. Further characterization confirms the association between EBF1 and the estrogen receptors, which favors the N-terminal region of the receptor. Furthermore, EBF1 negatively regulates ERs at the protein level. In summary, by studying ERβ genomic functions in our cell model, we confirm the anti-proliferative role of ERβ and discover the novel cross talk of ERβ with EBF1 which has various implications in normal physiology.
2013-06-21 | GSE48159 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2013-06-21 | E-GEOD-48161 | biostudies-arrayexpress
Project description:Computational mapping places molecular probes--small molecules or functional groups--on a protein surface to identify the most favorable binding positions. Although x-ray crystallography and NMR show that organic solvents bind to a limited number of sites on a protein, current mapping methods result in hundreds of energy minima and do not reveal why some sites bind molecules with different sizes and polarities. We describe a mapping algorithm that explains the origin of this phenomenon. The algorithm has been applied to hen egg-white lysozyme and to thermolysin, interacting with eight and four different ligands, respectively. In both cases the search finds the consensus site to which all molecules bind, whereas other positions that bind only certain ligands are not necessarily found. The consensus sites are pockets of the active site, lined with partially exposed hydrophobic residues and with a number of polar residues toward the edge. These sites can accommodate each ligand in a number of rotational states, some with a hydrogen bond to one of the nearby donor/acceptor groups. Specific substrates and/or inhibitors of hen egg-white lysozyme and thermolysin interact with the same side chains identified by the mapping, but form several hydrogen bonds and bind in unique orientations.
| S-EPMC123641 | biostudies-literature
Project description:BackgroundInsulator elements are proposed to play a key role in the organization of the regulatory architecture of the genome. In Drosophila, one of the best studied is the gypsy retrotransposon insulator, which is bound by the Suppressor of Hairy-wing (Su [Hw]) transcriptional regulator. Immunolocalization studies suggest that there are several hundred Su(Hw) sites in the genome, but few of these endogenous Su(Hw) binding sites have been identified.ResultsWe used chromatin immunopurification with genomic microarray analysis to identify in vivo Su(Hw) binding sites across the 3 megabase Adh region. We find 60 sites, and these enabled the construction of a robust new Su(Hw) binding site consensus. In contrast to the gypsy insulator, which contains tightly clustered Su(Hw) binding sites, endogenous sites generally occur as isolated sites. These endogenous sites have three key features. In contrast to most analyses of DNA-binding protein specificity, we find that strong matches to the binding consensus are good predictors of binding site occupancy. Examination of occupancy in different tissues and developmental stages reveals that most Su(Hw) sites, if not all, are constitutively occupied, and these isolated Su(Hw) sites are generally highly conserved. Analysis of transcript levels in su(Hw) mutants indicate widespread and general changes in gene expression. Importantly, the vast majority of genes with altered expression are not associated with clustering of Su(Hw) binding sites, emphasizing the functional relevance of isolated sites.ConclusionTaken together, our in vivo binding and gene expression data support a role for the Su(Hw) protein in maintaining a constant genomic architecture.
| S-EPMC2374998 | biostudies-literature
Project description:Early B cell factor-1 (Ebf1), a transcription factor expressed in B cells, adipocytes and neuronal cells, has been identified as a determinant in the specification of the B cell lineage in which Ebf1 acts in a regulatory network with the transcription factors E2A and Pax5. To gain insight into the molecular basis of Ebf1 function in early stage B cells, we compared the data set of a genome-wide ChIP sequencing analysis with gain- and loss-of-function transcriptome analyses. Identification of genetic loci enriched by chromatin-immunoprecipitation using antibodies against EBF1.
2010-05-06 | E-GEOD-19971 | biostudies-arrayexpress
Project description:Early B cell factor-1 (Ebf1), a transcription factor expressed in B cells, adipocytes and neuronal cells, has been identified as a determinant in the specification of the B cell lineage in which Ebf1 acts in a regulatory network with the transcription factors E2A and Pax5. To gain insight into the molecular basis of Ebf1 function in early stage B cells, we compared the data set of a genome-wide ChIP sequencing analysis with gain- and loss-of-function transcriptome analyses.
2010-05-06 | GSE19971 | GEO