Genome-wide mapping of H3K27ac by Cut&Tag in CD4+ and CD8+ immune cells of astronauts following prolonged orbital space flight.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 36 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
- 36 samples: 18 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
- Epigenomic profiling of immune cell subtypes reveals H3K27ac-marked stress signatures after long-duration spaceflightScientific reports · 2025
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 GSE288469_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 PRJNA1217808 and SRA study SRP560873. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 18 replicated groups read from 36 sample titles; they account for 36 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.
- GSM8768411 A1_PF_CD4 A1_PF_CD
- GSM8768412 A1_R+1_CD4 A1_R+1_CD
- GSM8768413 A1_R+35_CD4 A1_R+35_CD
- GSM8768414 A2_PF_CD4 A2_PF_CD
- GSM8768415 A2_R+1_CD4 A2_R+1_CD
- GSM8768416 A2_R+35_CD4 A2_R+35_CD
- GSM8768417 A3_PF_CD4 A3_PF_CD
- GSM8768418 A3_R+1_CD4 A3_R+1_CD
- GSM8768419 A3_R+35_CD4 A3_R+35_CD
- GSM8768420 C1_PF_CD4 C1_PF_CD
- GSM8768421 C1_R+1_CD4 C1_R+1_CD
- GSM8768422 C1_R+35_CD4 C1_R+35_CD
- GSM8768423 C2_PF_CD4 C2_PF_CD
- GSM8768424 C2_R+1_CD4 C2_R+1_CD
- GSM8768425 C2_R+35_CD4 C2_R+35_CD
- GSM8768426 C3_PF_CD4 C3_PF_CD
- GSM8768427 C3_R+1_CD4 C3_R+1_CD
- GSM8768428 C3_R+35_CD4 C3_R+35_CD
- GSM8768429 A1_PF_CD8 A1_PF_CD
- GSM8768430 A1_R+1_CD8 A1_R+1_CD
- GSM8768431 A1_R+35_CD8 A1_R+35_CD
- GSM8768432 A2_PF_CD8 A2_PF_CD
- GSM8768433 A2_R+1_CD8 A2_R+1_CD
- GSM8768434 A2_R+35_CD8 A2_R+35_CD
- GSM8768435 A3_PF_CD8 A3_PF_CD
- GSM8768436 A3_R+1_CD8 A3_R+1_CD
- GSM8768437 A3_R+35_CD8 A3_R+35_CD
- GSM8768438 C1_PF_CD8 C1_PF_CD
- GSM8768439 C1_R+1_CD8 C1_R+1_CD
- GSM8768440 C1_R+35_CD8 C1_R+35_CD
- GSM8768441 C2_PF_CD8 C2_PF_CD
- GSM8768442 C2_R+1_CD8 C2_R+1_CD
- GSM8768443 C2_R+35_CD8 C2_R+35_CD
- GSM8768444 C3_PF_CD8 C3_PF_CD
- GSM8768445 C3_R+1_CD8 C3_R+1_CD
- GSM8768446 C3_R+35_CD8 C3_R+35_CD
- GSE308745 The Cd4+ T cell population Partners with Tpex CD8 T cells to mediate Antitumor Immunity in the Tumor Microenvironment.[PB cohort2] 87 samples shares cd4, cd8
- GSE322527 Single-cell transcriptomes and T cell receptor sequences of CD4 or CD8 single positive T lymphocytes from peripheral blood or urine of lupus nephritis patients at flare. 26 samples shares cd4, cd8
- GSE285617 Characterization and effective expansion of CD4-CD8- TCRab+ T cells from individuals living with type 1 diabetes 24 samples shares cd4, cd8
- GSE295601 The Cd4+ T cell population Partners with Tpex CD8 T cells to mediate Antitumor Immunity in the Tumor Microenvironment. [P6] 18 samples shares cd4, cd8
- GSE253723 Reverse translational discovery reveals dysregulation of CD4+ and CD8+ resident memory T, myeloid, and stromal cells in steroid-refractory, checkpoint inhibitor colitis 12 samples shares cd4, cd8
- GSE333738 Genome-wide mapping of human H4K20me3 in the HN-SCC-151 HPV-negative head and neck squamous cell carcinoma cells treated with DMSO or the SUV420H1 inhibitor A-196/siNC (control) or siSUV420H1 siRNAs. 24 samples shares genome-wide, mapping
- GSE267119 The transcription factor ZNF469 regulates collagen production in liver fibrosis [Cohort_CUTRUN_H3K27ac] 99 samples shares h3k27ac
- GSE329231 Epigenomic profiling of H3K9me3 and H3K27ac across melanoma cell lines with different mutational backgrounds 45 samples shares h3k27ac
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.