Inflammaging in aged tissues drives remodeling of the CD8+ T cell compartment
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 15 samples, each with a distinct title — no replicated groupsGroups 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
- Inflammaging in aged tissues drives remodeling of the CD8(+) T cell compartmentCell reports · 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 GSE304476_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 PRJNA1301360 and SRA study SRP606453. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 15 sample titles: 15 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.
- GSM9151219 scRNA-seq,M-TNF,GEX
- GSM9151220 scRNA-seq,M-TNF,TCR
- GSM9151221 scRNA-seq,M-TNF,ADT
- GSM9151222 scRNA-seq,M-WT,GEX
- GSM9151223 scRNA-seq,M-WT,TCR
- GSM9151224 scRNA-seq,M-WT,ADT
- GSM9151225 scRNA-seq,O-WT,GEX
- GSM9151226 scRNA-seq,O-WT,TCR
- GSM9151227 scRNA-seq,O-WT,ADT
- GSM9151228 ScRNA-seq,Y-TNF,GEX
- GSM9151229 scRNA-seq,Y-TNF,TCR
- GSM9151230 scRNA-seq,Y-TNF,ADT
- GSM9151231 scRNA-seq,Y-WT,GEX
- GSM9151232 scRNA-seq,Y-WT,TCR
- GSM9151233 scRNA-seq,Y-WT,ADT
- GSE266454 AGED CD8+ T CELLS DRIVE COGNITIVE DECLINE VIA GZMK 21 samples shares cd8, aged
- GSE306058 scCRISPR screens of CD8⁺ T cells in young vs. aged tumors and tdLNs 11 samples shares cd8, aged
- GSE327565 Sustained Yap/Taz activation promotes aberrant alveolar epithelial cell differentiation and drives persistent fibrotic remodeling 14 samples shares remodeling, drives
- GSE276784 Inflammation perturbs hematopoiesis by remodeling specific compartments of the bone marrow niche 89 samples shares compartment, remodeling
- GSE304763 A pan-immunotherapy signature to predict intratumoral CD8+ T cell expansions [scTCR_immunotherapies] 91 samples shares cd8
- GSE281719 PD-1 Mediated Regulation of Unique Activated CD8+ T Cells by NK Cells in the Submandibular Gland [I15, I16] 60 samples shares cd8
- GSE334890 Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors 48 samples shares cd8
- GSE270050 Expansion of Tumor-Infiltrating CD8+ T Cell Clonotypes Occurs in the Spleen in Response to Immune Checkpoint Blockade 29 samples shares cd8
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.