H2A.Z regulates memory CD8+ T cell recall response [4]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 34 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
- 34 samples: 17 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
- H2A.Z primes an epigenetic landscape for memory CD8(+) T cell recall responseNature communications · 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 GSE273195_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 PRJNA1140587 and SRA study SRP522436. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 34 samples.
How we read this: 17 replicated groups read from 34 sample titles; they account for 34 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.
- GSM8423863 TN_PolIIS5P-CUTandTag_rep1 TN_PolIIS5P-CUTandTag
- GSM8423864 TN_PolIIS5P-CUTandTag_rep2 TN_PolIIS5P-CUTandTag
- GSM8423865 TM_PolIIS5P-CUTandTag_rep1 TM_PolIIS5P-CUTandTag
- GSM8423866 TM_PolIIS5P-CUTandTag_rep2 TM_PolIIS5P-CUTandTag
- GSM8423867 TN_H2A.Z-CUTandTag_rep1 TN_H2A.Z-CUTandTag
- GSM8423868 TN_H2A.Z-CUTandTag_rep2 TN_H2A.Z-CUTandTag
- GSM8423869 WT-TM_H2A.Z-CUTandTag_rep1 WT-TM_H2A.Z-CUTandTag
- GSM8423870 WT-TM_H2A.Z-CUTandTag_rep2 WT-TM_H2A.Z-CUTandTag
- GSM8423871 cKO-TM_H2A.Z-CUTandTag_rep1 cKO-TM_H2A.Z-CUTandTag
- GSM8423872 cKO-TM_H2A.Z-CUTandTag_rep2 cKO-TM_H2A.Z-CUTandTag
- GSM8423873 WT-TM_ATAC-seq_rep1 WT-TM_ATAC-seq
- GSM8423874 WT-TM_ATAC-seq_rep2 WT-TM_ATAC-seq
- GSM8423875 cKO-TM_ATAC-seq_rep1 cKO-TM_ATAC-seq
- GSM8423876 cKO-TM_ATAC-seq_rep2 cKO-TM_ATAC-seq
- GSM8423877 WT-TM_H3K4me3-CUTandTag_rep1 WT-TM_H3K4me3-CUTandTag
- GSM8423878 WT-TM_H3K4me3-CUTandTag_rep2 WT-TM_H3K4me3-CUTandTag
- GSM8423879 cKO-TM_H3K4me3-CUTandTag_rep1 cKO-TM_H3K4me3-CUTandTag
- GSM8423880 cKO-TM_H3K4me3-CUTandTag_rep2 cKO-TM_H3K4me3-CUTandTag
- GSM8423881 WT-TM_H3K27me3-CUTandTag_rep1 WT-TM_H3K27me3-CUTandTag
- GSM8423882 WT-TM_H3K27me3-CUTandTag_rep2 WT-TM_H3K27me3-CUTandTag
- GSM8423883 cKO-TM_H3K27me3-CUTandTag_rep1 cKO-TM_H3K27me3-CUTandT…
- GSM8423884 cKO-TM_H3K27me3-CUTandTag_rep2 cKO-TM_H3K27me3-CUTandT…
- GSM8423885 WT-TM_PolIIS5P-CUTandTag_rep1 WT-TM_PolIIS5P-CUTandTag
- GSM8423886 WT-TM_PolIIS5P-CUTandTag_rep2 WT-TM_PolIIS5P-CUTandTag
- GSM8423887 cKO-TM_PolIIS5P-CUTandTag_rep1 cKO-TM_PolIIS5P-CUTandT…
- GSM8423888 cKO-TM_PolIIS5P-CUTandTag_rep2 cKO-TM_PolIIS5P-CUTandT…
- GSM8423889 WT-TM_Input-ChIP-seq_rep1 WT-TM_Input-ChIP-seq
- GSM8423890 WT-TM_Input-ChIP-seq_rep2 WT-TM_Input-ChIP-seq
- GSM8423891 cKO-TM_Input-ChIP-seq_rep1 cKO-TM_Input-ChIP-seq
- GSM8423892 cKO-TM_Input-ChIP-seq_rep2 cKO-TM_Input-ChIP-seq
- GSM8423893 WT-TM_H3K27ac-ChIP-seq_rep1 WT-TM_H3K27ac-ChIP-seq
- GSM8423894 WT-TM_H3K27ac-ChIP-seq_rep2 WT-TM_H3K27ac-ChIP-seq
- GSM8423895 cKO-TM_H3K27ac-ChIP-seq_rep1 cKO-TM_H3K27ac-ChIP-seq
- GSM8423896 cKO-TM_H3K27ac-ChIP-seq_rep2 cKO-TM_H3K27ac-ChIP-seq
- GSE271884 GFI1-driven transcriptional and epigenetic programs maintain memory CD8+ T cell persistence [ATAC-seq]. 30 samples shares cd8, memory
- GSE337898 ATAC-seq profiling of lineage-traced exhausted and memory-like CD8+ T cell subsets during tumor progression 24 samples shares cd8, memory
- GSE342096 Distinct activation programs in naïve and memory CD8 T cells govern progeny stemness and effector persistence 37 samples shares cd8, memory
- GSE306744 Pre-division TCF1 downregulation determines long-term effector and memory CD8 T cell fates [RNA-Seq] 31 samples shares cd8, memory
- GSE317032 Non-cytolytic viral vaccine vectors induce durable effector-memory CD8 T cell immunity by triggering type I interferon 18 samples shares cd8, memory
- GSE215759 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [RNA-seq] 15 samples shares cd8, memory
- GSE286266 Age influences CMV-specific NK and CD8 T cell memory fates (NK cells) 12 samples shares cd8, memory
- GSE341988 Sequential pathogen exposure normalizes the brain neuroimmune microenvironment and reveals a tissue-resident memory CD8 T cell-microglia axis shaping adult neurogenesis 8 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.