Epigenetic landscape, key transcriptional regulators, and in vivo identification of human Tr1 cells [ATAC-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 33 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
- 33 samples: 8 conditions, mostly with about 5 replicates eachGroups 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.
- Paper
- Epigenetic landscape, key transcriptional regulators, and in vivo identification of human Tr1 cellsScience advances · 2026
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 GSE333876_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 PRJNA1473148 and SRA study SRP705701. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 8 replicated groups read from 33 sample titles; they account for 32 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.
- GSM9776384 Tr1_d4147 Tr1_d
- GSM9776385 Tr1_d0587 Tr1_d
- GSM9776386 Tr1_d0143 Tr1_d
- GSM9776387 Tr1_d0008 Tr1_d
- GSM9776388 Tr1_d0957 Tr1_d
- GSM9776389 Teff_d4147 Teff_d
- GSM9776390 Teff_d0587 Teff_d
- GSM9776391 Teff_d0143 Teff_d
- GSM9776392 Teff_d0008 Teff_d
- GSM9776393 Teff_d0957 Teff_d
- GSM9776394 DN_d4147 DN_d
- GSM9776395 DN_d0587 DN_d
- GSM9776396 DN_d0143 DN_d
- GSM9776397 DN_d0008 DN_d
- GSM9776398 DN_d0957 DN_d
- GSM9776399 CD4_d4147 CD4_d
- GSM9776400 CD4_d0587 CD4_d
- GSM9776401 CD4_d0143 CD4_d
- GSM9776402 CD4_d0008 CD4_d
- GSM9776403 CD4_d0957 CD4_d
- GSM9776404 Pt1_D35 Pt1_D
- GSM9776405 Pt2_D35 Pt2_D
- GSM9776406 Pt3_D35 Pt3_D
- GSM9776407 Pt1_D90 Pt1_D
- GSM9776408 Pt2_D90 Pt2_D
- GSM9776409 Pt3_D90 Pt3_D
- GSM9776410 Pt1_D300 Pt1_D
- GSM9776411 Pt2_D300 Pt2_D
- GSM9776412 Pt3_D300 Pt3_D
- GSM9776413 BC2800 BC
- GSM9776414 BC3826 BC
- GSM9776415 HD
- GSM9776416 BC0141 BC
- GSE261033 Epigenetic landscape, key transcriptional regulators, and in vivo identification of human Tr1 cells [scMultiome] 28 samples shares epigenetic, regulators, vivo
- GSE296831 Epigenetic Context Defines the Transcriptional Activity of Canonical and Noncanonical NF-kappaB Signaling in Pancreatic Cancer [ChIP-Seq] 48 samples shares epigenetic
- GSE334112 Reversible epiblast regionalisation determines differentiation potential of human PSCs [ATAC-seq] 38 samples shares atac-seq
- GSE294916 IFNγ-induced memory in human macrophages is not sustained by epigenetic changes but the durability of the cytokine itself [CUT&Tag] 28 samples shares epigenetic
- GSE289805 Histone H4 lysine 20 tri-methylation safeguards breast cancer lineage fidelity and unfolded protein response [ChIP-seq/ATAC-seq] 126 samples shares atac-seq
- GSE279619 SETD2 loss-of-function uniquely sensitizes cells to epigenetic targeting of NSD1-directed H3K36 methylation. 124 samples shares epigenetic
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares epigenetic
- GSE302930 Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes 92 samples shares epigenetic
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.