Step-wise signal integration governs adaptive programming of lymphocytes
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 108 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
- 108 samples: 78 distinct titles, 17 of them repeatedGroups 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
- Stepwise epigenetic signal integration drives adaptive programming of cytotoxic lymphocytesImmunity · 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 GSE309370_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 PRJNA1335251 and SRA study SRP571350. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 108 sample titles: 78 distinct titles with little repetition. 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.
- GSM8855645 mouse NK cells, IL-12 stimulated, input, rep1
- GSM8855646 mouse NK cells, antiNK1.1 + IL-12 stimulated, STAT4, rep1
- GSM8855647 mouse NK cells, antiNK1.1 + IL-12 stimulated, STAT4, rep2
- GSM8855648 mouse NK cells, antiNK1.1 + IL-12 stimulated, STAT4, rep3
- GSM8855649 mouse NK cells, IL-12 stimulated, STAT4, rep1
- GSM8855650 mouse NK cells, IL-12 stimulated, STAT4, rep2
- GSM8855651 mouse NK cells, IL-12 stimulated, STAT4, rep3
- GSM8855652 mouse OT-1 CD8+ T cells, SIINFEKL + IL-12 stimulated, input, rep1
- GSM8855653 mouse OT-1 CD8+ T cells, SIINFEKL + IL-12 stimulated, STAT4, rep1
- GSM8855654 mouse OT-1 CD8+ T cells, SIINFEKL + IL-12 stimulated, STAT4, rep2
- GSM8855655 mouse OT-1 CD8+ T cells, SIIQFEHL + IL-12 stimulated, STAT4, rep1
- GSM8855656 mouse OT-1 CD8+ T cells, SIIQFEHL + IL-12 stimulated, STAT4, rep2
- GSM8855671 NKCells_TimeCourse_scRNA
- GSM8855672 NKCells_TimeCourse_CITE_HTO
- GSM8857729 RNA_TotalNK_NK11_3hr_1_12001_5
- GSM8857730 RNA_TotalNK_NK11_3hr_2_12001_6
- GSM8857731 RNA_TotalNK_NK11_3hr_3_12001_7
- GSM8857732 RNA_TotalNK_Unstim_3hr_1_12001_1
- GSM8857733 RNA_TotalNK_Unstim_3hr_2_12001_2
- GSM8857734 ATAC_TotalNK_NK11_3hr_1_12002_B_8
- GSM8857735 ATAC_TotalNK_NK11_3hr_2_12002_B_9
- GSM8857736 ATAC_TotalNK_NK11_3hr_3_12002_B_10
- GSM8857737 ATAC_TotalNK_Unstim_3hr_1_12002_B_1
- GSM8857738 ATAC_TotalNK_Unstim_3hr_2_12002_B_2
- GSM8857739 RNA_NK_Spleen_D1_Ly49D_Nur77GFP_All_2_12637_4
- GSM8857740 RNA_NK_Spleen_D1_Ly49D_Nur77GFP_All_3_12637_7
- GSM8857741 RNA_NK_Spleen_D1_Ly49D_Nur77GFP_All_4_12637_10
- GSM8857742 RNA_NK_Spleen_D1_Ly49H_Nur77GFP_GFPneg_2_12637_6
- GSM8857743 RNA_NK_Spleen_D1_Ly49H_Nur77GFP_GFPneg_3_12637_9
- GSM8857744 RNA_NK_Spleen_D1_Ly49H_Nur77GFP_GFPneg_4_12637_12
- GSM8857745 RNA_NK_Spleen_D1_Ly49H_Nur77GFP_GFPpos_2_12637_5
- GSM8857746 RNA_NK_Spleen_D1_Ly49H_Nur77GFP_GFPpos_3_12637_8
- GSM8857747 RNA_NK_Spleen_D1_Ly49H_Nur77GFP_GFPpos_4_12637_11
- GSM8857748 ATAC_NK_Spleen_D1_Ly49D_Nur77GFP_All_1_2_12669_13
- GSM8857749 ATAC_NK_Spleen_D1_Ly49D_Nur77GFP_All_2_2_12669_16
- GSM8857750 ATAC_NK_Spleen_D1_Ly49D_Nur77GFP_All_3_2_12669_19
- GSM8857751 ATAC_NK_Spleen_D1_Ly49D_Nur77GFP_All_4_2_12669_22
- GSM8857752 ATAC_NK_Spleen_D1_Ly49H_Nur77GFP_GFPneg_1_2_12669_15
- GSM8857753 ATAC_NK_Spleen_D1_Ly49H_Nur77GFP_GFPneg_3_2_12669_21
- GSM8857754 ATAC_NK_Spleen_D1_Ly49H_Nur77GFP_GFPneg_4_2_12669_24
+ 68 more — browse all 108 samples with per-sample file links →
- GSE292377 Step-wise signal integration governs adaptive programming of lymphocytes [bulkRNA-seq and ATAC-seq] 41 samples shares integration, programming, lymphocytes, step-wise, adaptive, governs, signal
- GSE247946 Regulation of transcriptional signal integration and memory by inflammation-induced chromosome conformation 132 samples shares integration, signal
- GSE313769 SATB1 Lowers The TCR Signaling Threshold For Thymocytes Positive Selection via Super-enhancer Reprogramming 122 samples shares programming, signal
- GSE302857 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [RNA-seq] 81 samples shares programming, signal
- GSE302858 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [ATAC-seq] 42 samples shares programming, signal
- GSE302859 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [ChIP-seq] 28 samples shares programming, signal
- GSE237410 MyD88 Signaling in Trophoblasts is Necessary for Maternal High Fat Diet-Associated Developmental Programming of Obesity 24 samples shares programming, signal
- GSE307669 Succinate-GPR91 signaling promotes cardiomyocyte metabolic reprogramming and NAD⁺ production to alleviate HFpEF 16 samples shares programming, signal
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.