GEO DataSets

(Submitter supplied) We have analyzed publicly available K562 Hi-C data, which enables genome-wide unbiased capturing of chromatin interactions, using a Mixture Poisson Regression Model to define a highly specific set of interacting genomic regions. We integrated multiple ENCODE Consortium resources with the Hi-C data, using DNase-seq data and ChIP-seq data for 46 transcription factors and 8 histone modifications. We classified 12 different sets (clusters) of interacting loci that can be distinguished by their chromatin modifications and which can be categorized into three types of chromatin hubs. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

3 Samples

Download data: BAM, XLS

(Submitter supplied) We generated a genome-wide interaction map of regulatory elements in human cells (K562, GM12878) using Chromatin Interaction Analysis by Paired-End Tag sequencing (ChIA-PET) experiments targeting six broadly distributed factors. For data usage terms and conditions, please refer to https://www.encodeproject.org/about/data-use-policy

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL11154

7 Samples

Download data: BED, TXT

(Submitter supplied) Purpose: 224 GSM Samples form GSE32970 and GSE29692 was reanalyzed to find the TFBS-clustered regions of 133 cell lines. TFBS-clustered regions were divided into ten classes belong to the TF complexity. Methods: 1. We assigned the binding sites of 542 TFs in 133 cell lines as our record GSE53962 . 2. We performed a Gaussian kernel density estimation across the genome with a bandwidth of 300 bp, using the centers of each of the TF binding peaks as points. more...

Organism:

Homo sapiens

Type:

Third-party reanalysis; Genome binding/occupancy profiling by high throughput sequencing

Download data: TXT

(Submitter supplied) Purpose: 224 GSM Samples form GSE32970 and GSE29692 was reanalyzed to find the binding sites of 542 TFs. Methods: 1. iFORM (incorporating Find Occurrence of Regulatory Motifs) is a tool we designed to scan through sequences in search of binding sites that match given motifs. 2. We mapped motif-binding protein information found in TRANSFAC, JASPAR, and UniPROBE databases to 542 coding genes, using GeneCards (Rebhan et al., 1997) and UniProt Knowledgebase (Magrane and Consortium, 2011). more...

Organism:

Homo sapiens

Type:

Third-party reanalysis; Genome binding/occupancy profiling by high throughput sequencing

Download data: TXT

(Submitter supplied) We used mouse ENCODE data along with complementary data from other laboratories to study the dynamics of occupancy and the role in gene regulation of the transcription factor TAL1, a critical regulator of hematopoiesis, at multiple stages of hematopoietic differentiation. We combined ChIP-seq and RNA-seq data in six mouse cell types representing a progression from multilineage precursors to differentiated erythroblasts and megakaryocytes. more...

Organism:

Mus musculus

Type:

Other

4 related Platforms

81 Samples

Download data: BEDGRAPH, BIGWIG, BROADPEAK, TXT, WIG

(Submitter supplied) [1] Gene expression profiling in Gata4, Mef2a knockdown in HL-1 cells. HL-1 cells infected with adenovirus expressing either control siRNA or Gata4, and Gata4 & Mef2a siRNA. [2] Genome-wide maps of cardiac transcription factors binding region in HL-1 cells. We performed bio-ChIP-seq using streptavidin beads immunoprecipitation of biotinylated 5 cardiac transcription factors (fbio) and P300 antibody ChIP-seq. more...

Organism:

Mus musculus

Type:

Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL9185 GPL6246

17 Samples

Download data: CEL, GFF, TXT

(Submitter supplied) Total RNA was analyzed from either uninduced or β-estradiol treated G1E-ER-GATA cells to determine changes in gene expression upon induction of erythroid maturation (treated).

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6103

8 Samples

Download data: TXT

(Submitter supplied) GATA factors interact with simple DNA motifs (WGATAR) to regulate critical processes, including hematopoiesis, but very few WGATAR motifs are occupied in genomes. Given the rudimentary knowledge of mechanisms underlying this restriction, and how GATA factors establish genetic networks, we used ChIP-seq to define GATA-1 and GATA-2 occupancy genome-wide in erythroid cells. Coupled with genetic complementation analysis and transcriptional profiling, these studies revealed a rich collection of targets containing a characteristic binding motif of greater complexity than WGATAR. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL9115

3 Samples

Download data: BED, TXT

(Submitter supplied) GATA factors interact with simple DNA motifs (WGATAR) to regulate critical processes, including hematopoiesis, but very few WGATAR motifs are occupied in genomes. Given the rudimentary knowledge of mechanisms underlying this restriction, and how GATA factors establish genetic networks, we used ChIP-seq to define GATA-1 and GATA-2 occupancy genome-wide in erythroid cells. Coupled with genetic complementation analysis and transcriptional profiling, these studies revealed a rich collection of targets containing a characteristic binding motif of greater complexity than WGATAR. more...

Organism:

Homo sapiens; Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by array

Platforms:

GPL6103 GPL9115

11 Samples

Download data: BED, TXT

(Submitter supplied) We analyzed genome-wide chromatin binding of the transcription factor c-Myb using ChIP-Seq. K-562 cell lines stably expressing N-termianl 3xTY tagged Myb (pEFneo-3xTY-Myb) and control cell lines expressing the tag (pEFneo-3xTY) were used.

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL18573

12 Samples

Download data: BW

(Submitter supplied) The readout of genome information is controlled by transcriptional regulatory elements, but a comprehensive view of the combinatorial control by these DNA sequences, which bind regulatory protein and/or the modified histones in regulating gene transcription, is clearly preliminary. We have developed an experimental strategy for comprehensive determination of such functional elements in human DNA. This strategy involves the application of genome-wide location analysis, also known as ChIP-chip, to a panel of well-characterized regulatory proteins and histones with specific modifications, known to generally associate with transcriptional regulatory elements in vivo. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by genome tiling array

Platforms:

GPL4559 GPL1454

124 Samples

Download data: GPR, PAIR

(Submitter supplied) Eukaryotic gene regulatory information is contained within the DNA sequences of cis-regulatory elements and the epigenetic features of the chromatin surrounding these elements. Recent investigations in yeast, fly, and mammalian systems have made significant contributions toward our understanding of the relationship between gene activation and chromatin architecture at transcriptional promoters, but much work remains to improve our knowledge of this relationship at human promoters and other transcriptional regulatory elements, such as enhancers. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by genome tiling array

Platforms:

GPL4558 GPL4559 GPL1454

64 Samples

Download data

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL20301

30 Samples

Download data

(Submitter supplied) We conducted chromatin immunoprecipitation followed by sequencing (ChIP-seq) and proximity ligation-assisted ChIP-seq (PLAC-seq) for enhancers and promoters (E-P) using left ventricular tissues from dilated cardiomyopathy (DCM) patients and non-heart failure (NF) donors. Differential active enhancer H3K27ac and promoter H3K4me3 regions were identified between NF and DCM. While the average read density (ARD) for H3K27ac is similar between NF and DCM, the ARD of H3K4me3 is significantly lower in DCM samples than in NF.Super-enhancer (SE) analysis revealed that 929 and 129 genes linked to NF- and DCM-specific SE, respectively, and three unique SE-associated genes between NF and DCM were identified.Moreover, the differential E-P interactions were observed in the known heart failure gene loci and are correlated with the gene expression levels. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL20301

8 Samples

Download data: HIC

(Submitter supplied) We conducted chromatin immunoprecipitation followed by sequencing (ChIP-seq) and proximity ligation-assisted ChIP-seq (PLAC-seq) for enhancers and promoters (E-P) using left ventricular tissues from dilated cardiomyopathy (DCM) patients and non-heart failure (NF) donors. Differential active enhancer H3K27ac and promoter H3K4me3 regions were identified between NF and DCM. While the average read density (ARD) for H3K27ac is similar between NF and DCM, the ARD of H3K4me3 is significantly lower in DCM samples than in NF.Super-enhancer (SE) analysis revealed that 929 and 129 genes linked to NF- and DCM-specific SE, respectively, and three unique SE-associated genes between NF and DCM were identified.Moreover, the differential E-P interactions were observed in the known heart failure gene loci and are correlated with the gene expression levels. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL20301

22 Samples

Download data: BED

(Submitter supplied) The nuclear lamina interacts with the genome through megabase-size lamina-associated domains (LADs). LADs have been identified in proximity labeling assays and recently by chromatin immunoprecipitation-sequencing (ChIP-seq) of A- and B-type lamins. LADs localize mainly to the nuclear periphery, they are gene-poor and largely heterochromatic. Here, we show that the mode of chromatin fragmentation for ChIP, namely either bath sonication (used to date for ChIP of nuclear lamins) or digestion with micrococcal nuclease (MNase) leads to the discovery of distinct sets of lamin-interacting domains (which we refer to as LiDs) with distinct gene content, histone composition enrichment and relationship to lamin B1-interacting domains. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL16791

5 Samples

Download data: BED

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing

Platform:

GPL16791

7 Samples

Download data: BED, CSV

(Submitter supplied) Nuclear lamins contact the genome at the nuclear periphery through large domains and are involved in chromatin organization. Among broad peak calling algorithms available to date, none are suited for mapping lamin-genome interactions genome-wide. We disclose a novel algorithm, Enriched Domain Detector (EDD), for analysis of broad enrichment domains from ChIP-seq data. EDD enables discovery of genomic domains interacting with broadly distributed chromatin-associated proteins such as lamins. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

2 Samples

Download data: CSV

(Submitter supplied) Nuclear lamins contact the genome at the nuclear periphery through large domains and are involved in chromatin organization. Among broad peak calling algorithms available to date, none are suited for mapping lamin-genome interactions genome-wide. We disclose a novel algorithm, Enriched Domain Detector (EDD), for analysis of broad enrichment domains from ChIP-seq data. EDD enables discovery of genomic domains interacting with broadly distributed chromatin-associated proteins such as lamins. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL16791

5 Samples

Download data: BED

(Submitter supplied) Regulatory DNA elements in the human genome play important roles in determining the transcriptional abundance and spatiotemporal gene expression. It is a mystery how chromatin marks in regulatory elements are modulated to establish cell type-specific gene expression. Here we profiled a variety of epigenetic marks in the regulatory elements using massive ChIP-seq (n=84). We uncovered two classes of regulatory elements: Class I was identified with ubiquitous enhancer (H3K4me1) and promoter (H3K4me3) marks in all cell types, whereas Class II was enriched with H3K4me1 and H3K4me3 in a cell type-specific manner. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing

Platform:

GPL16791

96 Samples

Download data: TXT