ICOS limits memory-like properties and function of exhausted PD-1+ CD8 T cells [RNA-seq]
RNA-seq (gene expression) · mouse · 24 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
- 24 samples: 6 conditions, mostly with about 4 replicates eachGroups 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
- The costimulatory molecule ICOS limits memory-like properties and function of exhausted PD-1(+)CD8(+) T cellsImmunity · 2025
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 GSE270420_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 PRJNA1126605 and SRA study SRP515208. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 6 replicated groups read from 24 sample titles; they account for 24 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.
- GSM8342489 P14 Tpex Ctrl #1 P14 Tpex Ctrl #
- GSM8342490 P14 Tpex Ctrl #2 P14 Tpex Ctrl #
- GSM8342491 P14 Tpex Ctrl #3 P14 Tpex Ctrl #
- GSM8342492 P14 Tpex Ctrl #4 P14 Tpex Ctrl #
- GSM8342493 P14 Tpex ICOSneg #1 P14 Tpex ICOSneg #
- GSM8342494 P14 Tpex ICOSneg #2 P14 Tpex ICOSneg #
- GSM8342495 P14 Tpex ICOSneg #3 P14 Tpex ICOSneg #
- GSM8342496 P14 Tpex ICOSneg #4 P14 Tpex ICOSneg #
- GSM8342497 P14 effector-like Tex Ctrl #1 P14 effector-like Tex C…
- GSM8342498 P14 effector-like Tex Ctrl #2 P14 effector-like Tex C…
- GSM8342499 P14 effector-like Tex Ctrl #3 P14 effector-like Tex C…
- GSM8342500 P14 effector-like Tex Ctrl #4 P14 effector-like Tex C…
- GSM8342501 P14 effector-like Tex ICOsneg #1 P14 effector-like Tex I…
- GSM8342502 P14 effector-like Tex ICOsneg #2 P14 effector-like Tex I…
- GSM8342503 P14 effector-like Tex ICOsneg #3 P14 effector-like Tex I…
- GSM8342504 P14 effector-like Tex ICOsneg #4 P14 effector-like Tex I…
- GSM8342505 P14 terminal Tex Ctrl #1 P14 terminal Tex Ctrl #
- GSM8342506 P14 terminal Tex Ctrl #2 P14 terminal Tex Ctrl #
- GSM8342507 P14 terminal Tex Ctrl #3 P14 terminal Tex Ctrl #
- GSM8342508 P14 terminal Tex Ctrl #4 P14 terminal Tex Ctrl #
- GSM8342509 P14 terminal Tex ICOSneg #1 P14 terminal Tex ICOSne…
- GSM8342510 P14 terminal Tex ICOSneg #2 P14 terminal Tex ICOSne…
- GSM8342511 P14 terminal Tex ICOSneg #3 P14 terminal Tex ICOSne…
- GSM8342512 P14 terminal Tex ICOSneg #4 P14 terminal Tex ICOSne…
- GSE290839 PD-1 regulates tumor-infiltrating CD8+ T cells in both a cell-intrinsic and cell-extrinsic fashion [scRNA-seq] 20 samples shares pd-1, cd8, rna-seq
- GSE269347 Daunorubicin-induced T cell remodeling facilitates a high antitumor response to PD-1 blockade therapy by promoting the expansion and effector function of CD8+ prolifeating T cells [scRNA-Seq] 16 samples shares pd-1, cd8, rna-seq
- GSE320177 All -trans retinoic acid suppresses CD8+ T cell terminal exhaustion which enhances anti–PD-1 efficacy against glioblastoma [RNA-Seq] 12 samples shares pd-1, cd8, rna-seq
- GSE337898 ATAC-seq profiling of lineage-traced exhausted and memory-like CD8+ T cell subsets during tumor progression 24 samples shares cd8, memory-like, exhausted
- GSE261642 PLPP1-deficiency-mediated ferroptosis induced by PD-1 signaling impairs antitumor activity of intratumoral CD8+ T cells I 23 samples shares pd-1, cd8
- GSE252358 Acetylcyssteine synergizes PD-1 blockers against colorectal cancer progression by promoting TCF1+PD1+CD8+ T cell differentiation in mice 10 samples shares pd-1, cd8
- GSE281719 PD-1 Mediated Regulation of Unique Activated CD8+ T Cells by NK Cells in the Submandibular Gland [I15, I16] 60 samples shares pd-1, cd8
- GSE334845 Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors [RNA-Seq] 86 samples shares cd8, rna-seq
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.