Age influences CMV-specific NK and CD8 T cell memory fates (NK cells)
RNA-seq (gene expression) · mouse · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 6 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
- Age determines NK cell fate and tissue compartmentalization to CMV infectionbioRxiv : the preprint server for biology · 2026
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 GSE286266_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1208504 and SRA study SRP556295. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8722245 D0 enriched NK cells_GEX_library 1 D0 enriched NK cells_GE…
- GSM8722246 D0 enriched NK cells_ADT_library 1 D0 enriched NK cells_AD…
- GSM8722247 D0 enriched NK cells_GEX_library 2 D0 enriched NK cells_GE…
- GSM8722248 D0 enriched NK cells_ADT_library 2 D0 enriched NK cells_AD…
- GSM8722249 D7 enriched NK cells_GEX_library 1 D7 enriched NK cells_GE…
- GSM8722250 D7 enriched NK cells_ADT_library 1 D7 enriched NK cells_AD…
- GSM8722251 D7 enriched NK cells_GEX_library 2 D7 enriched NK cells_GE…
- GSM8722252 D7 enriched NK cells_ADT_library 2 D7 enriched NK cells_AD…
- GSM8722253 D15 enriched NK cells_GEX_library 1 D15 enriched NK cells_G…
- GSM8722254 D15 enriched NK cells_ADT_library 1 D15 enriched NK cells_A…
- GSM8722255 D15 enriched NK cells_GEX_library 2 D15 enriched NK cells_G…
- GSM8722256 D15 enriched NK cells_ADT_library 2 D15 enriched NK cells_A…
- GSE306744 Pre-division TCF1 downregulation determines long-term effector and memory CD8 T cell fates [RNA-Seq] 31 samples shares cd8, memory, fates
- GSE317032 Non-cytolytic viral vaccine vectors induce durable effector-memory CD8 T cell immunity by triggering type I interferon 18 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
- GSE215759 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [RNA-seq] 15 samples shares cd8, memory
- GSE235005 Nutrient-driven histone code determines exhausted CD8+ T cell fates [ChIP-seq] 50 samples shares cd8, fates
- GSE273195 H2A.Z regulates memory CD8+ T cell recall response [4] 34 samples shares cd8, memory
- 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
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.