Multi-omics of resting and anti-CD3/CD28-stimuated Jurkat cells
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 46 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
- 46 samples: 22 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.
- Paper
- Multidimensional mapping of stimulation-responsive regulatory elements and candidate causal variants in T cell activationScience advances · 2026
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 GSE285832_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 PRJNA1206166 and SRA study SRP531503. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 44 samples.
How we read this: 22 replicated groups read from 46 sample titles; they account for 44 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.
- GSM8504150 Jurkat cell resting RNA-seq replicate 1 Jurkat cell resting RNA…
- GSM8504151 Jurkat cell resting RNA-seq replicate 2 Jurkat cell resting RNA…
- GSM8504152 Jurkat cell stimulated RNA-seq replicate 1 Jurkat cell stimulated …
- GSM8504153 Jurkat cell stimulated RNA-seq replicate 2 Jurkat cell stimulated …
- GSM8504154 Jurkat cell resting ATAC-seq rep1 Jurkat cell resting ATA…
- GSM8504155 Jurkat cell stimulated ATAC-seq rep1 Jurkat cell stimulated …
- GSM8522701 Jurkat cell resting 4C-seq
- GSM8522702 Jurkat cell stimulated 4C-seq
- GSM8522703 Jurkat cell resting Capture HiC replicate 1 Jurkat cell resting Cap…
- GSM8522704 Jurkat cell resting Capture HiC replicate 2 Jurkat cell resting Cap…
- GSM8522705 Jurkat cell stimulated Capture HiC replicate 1 Jurkat cell stimulated …
- GSM8522706 Jurkat cell stimulated Capture HiC replicate 2 Jurkat cell stimulated …
- GSM8522707 Jurkat cell resting ChIP-seq Input rep1 Jurkat cell resting ChI…
- GSM8522708 Jurkat cell resting ChIP-seq H3K27ac rep1 Jurkat cell resting ChI…
- GSM8522709 Jurkat cell resting ChIP-seq H3K4me1 rep1 Jurkat cell resting ChI…
- GSM8522710 Jurkat cell resting ChIP-seq H3K4me3 rep1 Jurkat cell resting ChI…
- GSM8522711 Jurkat cell resting ChIP-seq H3K27me3 rep1 Jurkat cell resting ChI…
- GSM8522712 Jurkat cell resting ChIP-seq RNA PoII rep1 Jurkat cell resting ChI…
- GSM8522713 Jurkat cell resting ChIP-seq CTCF rep1 Jurkat cell resting ChI…
- GSM8522714 Jurkat cell stimulated ChIP-seq Input rep1 Jurkat cell stimulated …
- GSM8522715 Jurkat cell stimulatedChIP-seq H3K27ac rep1 Jurkat cell stimulatedC…
- GSM8522716 Jurkat cell stimulated ChIP-seq H3K4me1 rep1 Jurkat cell stimulated …
- GSM8522717 Jurkat cell stimulated ChIP-seq H3K4me3 rep1 Jurkat cell stimulated …
- GSM8522718 Jurkat cell stimulated ChIP-seq H3K27me3 rep1 Jurkat cell stimulated …
- GSM8522719 Jurkat cell stimulated ChIP-seq RNA PoII rep1 Jurkat cell stimulated …
- GSM8522720 Jurkat cell stimulated ChIP-seq CTCF rep1 Jurkat cell stimulated …
- GSM8522721 Jurkat cell CD28 CRISPRa-seq replicate 1 Jurkat cell CD28 CRISPR…
- GSM8522722 Jurkat cell CD28 CRISPRa-seq replicate 2 Jurkat cell CD28 CRISPR…
- GSM8522723 Jurkat cell Neg CRISPRa-seq replicate 1 Jurkat cell Neg CRISPRa…
- GSM8522724 Jurkat cell Neg CRISPRa-seq replicate 2 Jurkat cell Neg CRISPRa…
- GSM9242518 Jurkat cell resting ATAC-seq rep2 Jurkat cell resting ATA…
- GSM9242519 Jurkat cell stimulated ATAC-seq rep2 Jurkat cell stimulated …
- GSM9252899 Jurkat cell resting ChIP-seq Input rep2 Jurkat cell resting ChI…
- GSM9252900 Jurkat cell resting ChIP-seq H3K27ac rep2 Jurkat cell resting ChI…
- GSM9252901 Jurkat cell resting ChIP-seq H3K4me1 rep2 Jurkat cell resting ChI…
- GSM9252902 Jurkat cell resting ChIP-seq H3K4me3 rep2 Jurkat cell resting ChI…
- GSM9252903 Jurkat cell resting ChIP-seq H3K27me3 rep2 Jurkat cell resting ChI…
- GSM9252904 Jurkat cell resting ChIP-seq RNA PoII rep2 Jurkat cell resting ChI…
- GSM9252905 Jurkat cell resting ChIP-seq CTCF rep2 Jurkat cell resting ChI…
- GSM9252906 Jurkat cell stimulated ChIP-seq Input rep2 Jurkat cell stimulated …
+ 6 more — browse all 46 samples with per-sample file links →
- GSE342431 Transcriptomic effects of combined AZD4573 and SMAP-2 treatment in resting and anti-CD3/CD28-activated primary human CD4+ T cells 12 samples shares anti-cd3, resting
- GSE240296 Expression data from T-cell Acute Lymphoblastic Leukemia (T-ALL) patient-derived xenograft treated with anti-CD3 mAb 12 samples shares anti-cd3
- GSE149407 Single-Cell Multi-Omics Sequencing Reveals the Dynamic Epigenome Landscape of Human Adult Spermatogenesis 1435 samples shares multi-omics
- GSE300844 Deciphering the functional impact of Alzheimer’s Disease-associated variants in resting and proinflammatory immune cells 192 samples shares resting
- GSE263717 Epigenomic profiles of SLE resting and transitional B cells 150 samples shares resting
- GSE319092 Integrated Multi-Omics and Interactome Analysis of CDK8 Inhibition Reveals Erythroid Differentiation Programs and BET Synergy in AML Stem-like Cells 135 samples shares multi-omics
- GSE282511 Multi-omics analysis in primary T cells elucidates mechanisms behind disease associated genetic loci [RNA-seq] 128 samples shares multi-omics
- GSE273075 Multi-omics Analysis of Umbilical Cord Hematopoietic Stem Cells from a Multi-ethnic Cohort of Hawaii Reveals the Intergenerational Effect of Maternal Pre-Pregnancy Obesity and Risk Prediction for Cancers 122 samples shares multi-omics
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.