3D epigenomic landscape of human retinal pigment epithelium [CUT&Tag]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 40 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 40 samples: 16 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE307363_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1316513 and SRA study SRP617613. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 40 samples.
How we read this: 16 replicated groups read from 40 sample titles; they account for 40 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9222813 hRPE_H3K4me3,rep1 hRPE_H3K4me3,
- GSM9222814 hRPE_H3K4me3,rep2 hRPE_H3K4me3,
- GSM9222815 hRPE_H3K4me1,rep1 hRPE_H3K4me1,
- GSM9222816 hRPE_H3K4me1,rep2 hRPE_H3K4me1,
- GSM9222817 hRPE_H3K27ac,rep1 hRPE_H3K27ac,
- GSM9222818 hRPE_H3K27ac,rep2 hRPE_H3K27ac,
- GSM9222819 hRPE_H3K27me3,rep1 hRPE_H3K27me3,
- GSM9222820 hRPE_H3K27me3,rep2 hRPE_H3K27me3,
- GSM9222821 iPSC-RPE_H3K4me3,rep1 iPSC-RPE_H3K4me3,
- GSM9222822 iPSC-RPE_H3K4me3,rep2 iPSC-RPE_H3K4me3,
- GSM9222823 iPSC-RPE_H3K4me1,rep1 iPSC-RPE_H3K4me1,
- GSM9222824 iPSC-RPE_H3K4me1,rep2 iPSC-RPE_H3K4me1,
- GSM9222825 iPSC-RPE_H3K27ac,rep1 iPSC-RPE_H3K27ac,
- GSM9222826 iPSC-RPE_H3K27ac,rep2 iPSC-RPE_H3K27ac,
- GSM9222827 iPSC-RPE_H3K27me3,rep1 iPSC-RPE_H3K27me3,
- GSM9222828 iPSC-RPE_H3K27me3,rep2 iPSC-RPE_H3K27me3,
- GSM9222829 ARPE-19_H3K4me3,rep1 ARPE-19_H3K4me3,
- GSM9222830 ARPE-19_H3K4me3,rep2 ARPE-19_H3K4me3,
- GSM9222831 ARPE-19_H3K4me1,rep1 ARPE-19_H3K4me1,
- GSM9222832 ARPE-19_H3K4me1,rep2 ARPE-19_H3K4me1,
- GSM9222833 ARPE-19_H3K27ac,rep1 ARPE-19_H3K27ac,
- GSM9222834 ARPE-19_H3K27ac,rep2 ARPE-19_H3K27ac,
- GSM9222835 ARPE-19_H3K27me3,rep1 ARPE-19_H3K27me3,
- GSM9222836 ARPE-19_H3K27me3,rep2 ARPE-19_H3K27me3,
- GSM9222837 iPSC_H3K4me3,rep1 iPSC_H3K4me3,
- GSM9222838 iPSC_H3K4me3,rep2 iPSC_H3K4me3,
- GSM9222839 iPSC_H3K4me1,rep1 iPSC_H3K4me1,
- GSM9222840 iPSC_H3K4me1,rep2 iPSC_H3K4me1,
- GSM9222841 iPSC_H3K27ac,rep1 iPSC_H3K27ac,
- GSM9222842 iPSC_H3K27ac,rep2 iPSC_H3K27ac,
- GSM9222843 iPSC_H3K27me3,rep1 iPSC_H3K27me3,
- GSM9222844 iPSC_H3K27me3,rep2 iPSC_H3K27me3,
- GSM9883412 hRPE_H3K4me3,rep3 hRPE_H3K4me3,
- GSM9883413 hRPE_H3K4me3,rep4 hRPE_H3K4me3,
- GSM9883414 hRPE_H3K4me1,rep3 hRPE_H3K4me1,
- GSM9883415 hRPE_H3K4me1,rep4 hRPE_H3K4me1,
- GSM9883416 hRPE_H3K27ac,rep3 hRPE_H3K27ac,
- GSM9883417 hRPE_H3K27ac,rep4 hRPE_H3K27ac,
- GSM9883418 hRPE_H3K27me3,rep3 hRPE_H3K27me3,
- GSM9883419 hRPE_H3K27me3,rep4 hRPE_H3K27me3,
- GSE327821 Single-molecule, single-cell profiling of linked chromatin states [Single_cell_CoCUT&Tag] 200 samples shares cut
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares cut
- GSE318107 CAD-C: An engineered nuclease enables repair-free in situ proximity ligation and nucleosome-resolution chromosome walks in human cells [Cut & Tag] 10 samples shares cut
- GSE303343 A unified network systems approach uncovers a core program underlying T follicular helper cell differentiation [CUT&RUN] 48 samples shares cut
- GSE294275 Transcriptional analysis of direct NSD2 target genes in t(4;14) multiple myeloma reveals H3K36me2-dependent regulation and H3K27me3 antagonism [CUT&TAG] 40 samples shares cut
- GSE287902 BPTF regulstes androgen receptor activity by enhancing chromatin accessibility and stabilizing the AR-FOXA1 interaction [Cut&Run] 40 samples shares cut
- GSE327819 Single-molecule, single-cell profiling of linked chromatin states [Bulk_CoCUT&Tag] 35 samples shares cut
- GSE278910 Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling [CUT&RUN] 30 samples shares cut
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.