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Direct GR binding sites potentiate clusters of TF binding across the human genome [5]

ABSTRACT: The glucocorticoid receptor (GR) binds the human genome at >10,000 sites, but only regulates the expression of hundreds of genes. To determine the functional effect of each site, we measured the glucocorticoid (GC) responsive activity of nearly all GR binding sites (GBSs) captured using chromatin immunoprecipitation (ChIP) in A549 cells. 13% of GBSs assayed had GC-induced activity. The responsive sites were defined by direct GR binding via a GC response element (GRE) and exclusively increased reporter- gene expression. Meanwhile, most GBSs lacked GC-induced reporter activity. The non-responsive sites had epigenetic features of steady state enhancers and clustered around direct GBSs. Together, our data support a model in which clusters of GBSs observed with ChIP-seq reflect interactions between direct and tethered GBSs over tens of kilobases. We further show that those interactions can synergistically modulate the activity of direct GBSs, and may therefore play a major role in driving gene activation in response to GCs. Glucoroticoid receptor binding site chip-seq libraries were cloned into STARR-seq for massively parallel functional analysis. The results were confirmed by ChIP-Exo performed on the GR in A549 cells treated with 100 nM dexamethasone for one hour. In dataset [5], the files contain RNA-seq from GR-ChIP-reporters that were transfected into A549 cells and treated with DEX or EtOH. [5] contains the reporter assay specific RNA-seq from plasmids described in [4].

ORGANISM(S): Homo sapiens

SUBMITTER: Christopher Vockley

PROVIDER: E-GEOD-79428 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Direct GR binding sites potentiate clusters of TF binding across the human genome [8]

Project description:The glucocorticoid receptor (GR) binds the human genome at >10,000 sites, but only regulates the expression of hundreds of genes. To determine the functional effect of each site, we measured the glucocorticoid (GC) responsive activity of nearly all GR binding sites (GBSs) captured using chromatin immunoprecipitation (ChIP) in A549 cells. 13% of GBSs assayed had GC-induced activity. The responsive sites were defined by direct GR binding via a GC response element (GRE) and exclusively increased reporter- gene expression. Meanwhile, most GBSs lacked GC-induced reporter activity. The non-responsive sites had epigenetic features of steady state enhancers and clustered around direct GBSs. Together, our data support a model in which clusters of GBSs observed with ChIP-seq reflect interactions between direct and tethered GBSs over tens of kilobases. We further show that those interactions can synergistically modulate the activity of direct GBSs, and may therefore play a major role in driving gene activation in response to GCs. Glucoroticoid receptor binding site chip-seq libraries were cloned into STARR-seq for massively parallel functional analysis. The results were confirmed by ChIP-Exo performed on the GR in A549 cells treated with 100 nM dexamethasone for one hour. This dataset [8] contains ChIP-seq data for A549 cells treated with DEX or EtOH for 3 hours.

2016-08-25 | E-GEOD-79431 | biostudies-arrayexpress

Direct GR binding sites potentiate clusters of TF binding across the human genome

Project description:The glucocorticoid receptor (GR) binds the human genome at >10,000 sites, but only regulates the expression of hundreds of genes. To determine the functional effect of each site, we measured the glucocorticoid (GC) responsive activity of nearly all GR binding sites (GBSs) captured using chromatin immunoprecipitation (ChIP) in A549 cells. 13% of GBSs assayed had GC-induced activity. The responsive sites were defined by direct GR binding via a GC response element (GRE) and exclusively increased reporter- gene expression. Meanwhile, most GBSs lacked GC-induced reporter activity. The non-responsive sites had epigenetic features of steady state enhancers and clustered around direct GBSs. Together, our data support a model in which clusters of GBSs observed with ChIP-seq reflect interactions between direct and tethered GBSs over tens of kilobases. We further show that those interactions can synergistically modulate the activity of direct GBSs, and may therefore play a major role in driving gene activation in response to GCs. Glucoroticoid receptor binding site chip-seq libraries were cloned into STARR-seq for massively parallel functional analysis. The results were confirmed by ChIP-Exo performed on the GR in A549 cells treated with 100 nM dexamethasone for one hour. Dnase-seq was performed on A549 cells treated for 1 h with dexamethasone or ethanol.

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Direct GR binding sites potentiate clusters of TF binding across the human genome [7]

Project description:The glucocorticoid receptor (GR) binds the human genome at >10,000 sites, but only regulates the expression of hundreds of genes. To determine the functional effect of each site, we measured the glucocorticoid (GC) responsive activity of nearly all GR binding sites (GBSs) captured using chromatin immunoprecipitation (ChIP) in A549 cells. 13% of GBSs assayed had GC-induced activity. The responsive sites were defined by direct GR binding via a GC response element (GRE) and exclusively increased reporter- gene expression. Meanwhile, most GBSs lacked GC-induced reporter activity. The non-responsive sites had epigenetic features of steady state enhancers and clustered around direct GBSs. Together, our data support a model in which clusters of GBSs observed with ChIP-seq reflect interactions between direct and tethered GBSs over tens of kilobases. We further show that those interactions can synergistically modulate the activity of direct GBSs, and may therefore play a major role in driving gene activation in response to GCs. Glucoroticoid receptor binding site chip-seq libraries were cloned into STARR-seq for massively parallel functional analysis. The results were confirmed by ChIP-Exo performed on the GR in A549 cells treated with 100 nM dexamethasone for one hour. This dataset [7] contains the sequences of fragments BACs cloned into the STARR-seq plasmid backbone. These STARR-seq plasmid libraries were transfected into A549 cells. The contents of this data set are the sequences encoded on the pool of reporter plasmids that were then transfected into A549 cells. The data set describing the results of that transfection is described in [1].

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Project description:The glucocorticoid receptor (GR) binds the human genome at >10,000 sites, but only regulates the expression of hundreds of genes. To determine the functional effect of each site, we measured the glucocorticoid (GC) responsive activity of nearly all GR binding sites (GBSs) captured using chromatin immunoprecipitation (ChIP) in A549 cells. 13% of GBSs assayed had GC-induced activity. The responsive sites were defined by direct GR binding via a GC response element (GRE) and exclusively increased reporter- gene expression. Meanwhile, most GBSs lacked GC-induced reporter activity. The non-responsive sites had epigenetic features of steady state enhancers and clustered around direct GBSs. Together, our data support a model in which clusters of GBSs observed with ChIP-seq reflect interactions between direct and tethered GBSs over tens of kilobases. We further show that those interactions can synergistically modulate the activity of direct GBSs, and may therefore play a major role in driving gene activation in response to GCs. Glucoroticoid receptor binding site chip-seq libraries were cloned into STARR-seq for massively parallel functional analysis. The results were confirmed by ChIP-Exo performed on the GR in A549 cells treated with 100 nM dexamethasone for one hour. This dataset [4] contains the sequences of GR ChIP-seq fragments that have been cloned into the STARR-seq backbone. [4] *.fragments files contain DNA fragments that were cloned into a massively parallel reporter assay. These fragments were generated via ChIP-seq for the glucororticoid receptor. The ChIP-seq library that was used for this source material was sequenced and the data from that sequencing was deposited in [8]. The [4] *.fragments file contains the abundance of each reporter plasmid produced by cloning the GR ChIP-seq library into the reporter vector.

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