← BioTransfer GEO Dataset Finder
GEO series

Step-wise signal integration governs adaptive programming of lymphocytes [bulkRNA-seq and ATAC-seq]

GSE292377 Mus musculus Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing 41 samples Submitted 2026/01/22 Platform GPL24247
Summary
Lymphocyte differentiation depends on activation via antigen and cytokines during the immune response to infection. How the timing and integration of these signals program the epigenetic and functional fate of these cells is not completely understood. In this study, we find that inflammatory cytokine signals received by innate and adaptive lymphocytes have a context-dependent role for immune memory formation. Without preceding and sufficient antigen receptor signaling, inflammatory cytokines drive terminal differentiation into short-lived effector cells. In contrast, sufficient antigen-receptor signaling redirects inflammatory cytokine signals to promote memory differentiation via cooperation of STAT and AP-1 transcription factors. By this crucial epigenetic mechanism, optimally equipped lymphocytes are selected for memory formation rather than a terminal effector cell fate. Whereas T cells are hardwired to be shielded from premature inflammatory signals, NK cells rely on coincidental early antigen receptor signaling for adaptive responses. Together, step-wise integration of antigen and cytokine signaling optimizes both effector and memory differentiation, allowing for promiscuous recruitment into the acute immune response while promoting avidity maturation in memory populations of both innate and adaptive lymphocytes.
Published in
Stepwise epigenetic signal integration drives adaptive programming of cytotoxic lymphocytes
Grassmann S, Santosa EK, Kim H et al. · Immunity 2026 · PMID 41619729 · doi:10.1016/j.immuni.2026.01.004
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE292377_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 41 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1238266 and SRA study SRP571580. Searching any of these in the dataset finder brings you back here.

Study design
40 conditions, each sampled once — no replicated groups

Read from the first 40 of 41 sample titles: 40 distinct titles with little repetition. Check it against the sample list below before relying on it.

Samples in this study

+ 1 more — browse all 41 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.