GFI1-driven transcriptional and epigenetic programs maintain memory CD8+ T cell persistence [ATAC-seq].
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 30 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
- Mus musculus (mouse)
- Samples
- 30 samples: 10 conditions, mostly in triplicateGroups 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
- GFI1-driven transcriptional and epigenetic programs maintain CD8(+) T cell stemness and persistenceNature immunology · 2025
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 GSE271884_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 PRJNA1133801 and SRA study SRP518935. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 10 replicated groups read from 30 sample titles; they account for 30 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.
- GSM8387537 Naïve CD8 T cells, WT, ATAC, rep1 Naïve CD8 T cells, WT, …
- GSM8387538 Naïve CD8 T cells, WT, ATAC, rep2 Naïve CD8 T cells, WT, …
- GSM8387539 Naïve CD8 T cells, WT, ATAC, rep3 Naïve CD8 T cells, WT, …
- GSM8387540 Naïve CD8 T cells, GFI1-KO, ATAC, rep1 Naïve CD8 T cells, GFI1…
- GSM8387541 Naïve CD8 T cells, GFI1-KO, ATAC, rep2 Naïve CD8 T cells, GFI1…
- GSM8387542 Naïve CD8 T cells, GFI1-KO, ATAC, rep3 Naïve CD8 T cells, GFI1…
- GSM8387543 LCMVc13 infection,GFI1-KO, D7, ATAC, rep1 LCMVc13 infection,GFI1-…
- GSM8387544 LCMVc13 infection,GFI1-KO, D7, ATAC, rep2 LCMVc13 infection,GFI1-…
- GSM8387545 LCMVc13 infection,GFI1-KO, D7, ATAC, rep3 LCMVc13 infection,GFI1-…
- GSM8387546 LCMVc13 infection, WT, D7, ATAC, rep1 LCMVc13 infection, WT, …
- GSM8387547 LCMVc13 infection, WT, D7, ATAC, rep2 LCMVc13 infection, WT, …
- GSM8387548 LCMVc13 infection, WT, D7, ATAC, rep3 LCMVc13 infection, WT, …
- GSM8387549 MCMV infection,GFI1-KO, D7, ATAC, rep1 MCMV infection,GFI1-KO,…
- GSM8387550 MCMV infection,GFI1-KO, D7, ATAC, rep2 MCMV infection,GFI1-KO,…
- GSM8387551 MCMV infection,GFI1-KO, D7, ATAC, rep3 MCMV infection,GFI1-KO,…
- GSM8387552 MCMV infection, WT, D7, ATAC, rep1 MCMV infection, WT, D7,…
- GSM8387553 MCMV infection, WT, D7, ATAC, rep2 MCMV infection, WT, D7,…
- GSM8387554 MCMV infection, WT, D7, ATAC, rep3 MCMV infection, WT, D7,…
- GSM8640611 LCMVc13 infection,GFI1-KO, D3, rep1 LCMVc13 infection,GFI1-…
- GSM8640612 LCMVc13 infection,GFI1-KO, D3, rep2 LCMVc13 infection,GFI1-…
- GSM8640613 LCMVc13 infection,GFI1-KO, D3, rep3 LCMVc13 infection,GFI1-…
- GSM8640614 LCMVc13 infection, WT, D3, rep1 LCMVc13 infection, WT, …
- GSM8640615 LCMVc13 infection, WT, D3, rep2 LCMVc13 infection, WT, …
- GSM8640616 LCMVc13 infection, WT, D3, rep3 LCMVc13 infection, WT, …
- GSM8640617 LCMVc13 infection,GFI1-KO, D5, rep1 LCMVc13 infection,GFI1-…
- GSM8640618 LCMVc13 infection,GFI1-KO, D5, rep2 LCMVc13 infection,GFI1-…
- GSM8640619 LCMVc13 infection,GFI1-KO, D5, rep3 LCMVc13 infection,GFI1-…
- GSM8640620 LCMVc13 infection, WT, D5, rep1 LCMVc13 infection, WT, …
- GSM8640621 LCMVc13 infection, WT, D5, rep2 LCMVc13 infection, WT, …
- GSM8640622 LCMVc13 infection, WT, D5, rep3 LCMVc13 infection, WT, …
- GSE342096 Distinct activation programs in naïve and memory CD8 T cells govern progeny stemness and effector persistence 37 samples shares cd8, persistence, programs, memory
- GSE337898 ATAC-seq profiling of lineage-traced exhausted and memory-like CD8+ T cell subsets during tumor progression 24 samples shares cd8, atac-seq, memory
- GSE236575 Adipose tissue retains an epigenetic memory of obesity after weight loss [ATAC-seq] 22 samples shares epigenetic, atac-seq, memory
- GSE252551 Disease-associated astrocyte epigenetic memory promotes CNS pathology [ATAC-Seq and RNA-Seq] 32 samples shares epigenetic, atac-seq, memory
- GSE274865 Epigenetic regulators of clonal hematopoiesis control CD8 T cell stemness during immunotherapy [CUT&Tag] 36 samples shares cd8, epigenetic
- GSE273195 H2A.Z regulates memory CD8+ T cell recall response [4] 34 samples shares cd8, memory
- GSE302682 Sleeping Beauty mutagenesis identifies BACH2 and other regulators promoting CD8+ T cell persistence and effector function under tumor-associated chronic antigen stimulation - RNAseq 66 samples shares cd8, persistence
- GSE306744 Pre-division TCF1 downregulation determines long-term effector and memory CD8 T cell fates [RNA-Seq] 31 samples shares cd8, memory
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.