RNA-seq of murine CD8+ tumor-infiltrating T cells following treatment with pembrolizumab and/or ABL503
RNA-seq (gene expression) · mouse · 20 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
- 20 samples: 5 × CD8+ TIL, ABL503 treated, vs 5 × CD8+ TIL, ABL503+pembrolizumab treated, vs 5 × CD8+ TIL, control, vs 5 × CD8+ TIL, pembrolizumab treated,Groups 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.
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 GSE264650_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 PRJNA1103745 and SRA study SRP503560. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 15 samples read as cases, 5 as controls.
How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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.
- GSM8224530 CD8+ TIL, ABL503 treated, rep1 CD8+ TIL, ABL503 treate…
- GSM8224531 CD8+ TIL, ABL503 treated, rep2 CD8+ TIL, ABL503 treate…
- GSM8224532 CD8+ TIL, ABL503 treated, rep3 CD8+ TIL, ABL503 treate…
- GSM8224533 CD8+ TIL, ABL503 treated, rep4 CD8+ TIL, ABL503 treate…
- GSM8224534 CD8+ TIL, ABL503 treated, rep5 CD8+ TIL, ABL503 treate…
- GSM8224535 CD8+ TIL, ABL503+pembrolizumab treated, rep1 CD8+ TIL, ABL503+pembro…
- GSM8224536 CD8+ TIL, ABL503+pembrolizumab treated, rep2 CD8+ TIL, ABL503+pembro…
- GSM8224537 CD8+ TIL, ABL503+pembrolizumab treated, rep3 CD8+ TIL, ABL503+pembro…
- GSM8224538 CD8+ TIL, ABL503+pembrolizumab treated, rep4 CD8+ TIL, ABL503+pembro…
- GSM8224539 CD8+ TIL, ABL503+pembrolizumab treated, rep5 CD8+ TIL, ABL503+pembro…
- GSM8224540 CD8+ TIL, control, rep1 CD8+ TIL, control,
- GSM8224541 CD8+ TIL, control, rep2 CD8+ TIL, control,
- GSM8224542 CD8+ TIL, control, rep3 CD8+ TIL, control,
- GSM8224543 CD8+ TIL, control, rep4 CD8+ TIL, control,
- GSM8224544 CD8+ TIL, control, rep5 CD8+ TIL, control,
- GSM8224545 CD8+ TIL, pembrolizumab treated, rep1 CD8+ TIL, pembrolizumab…
- GSM8224546 CD8+ TIL, pembrolizumab treated, rep2 CD8+ TIL, pembrolizumab…
- GSM8224547 CD8+ TIL, pembrolizumab treated, rep3 CD8+ TIL, pembrolizumab…
- GSM8224548 CD8+ TIL, pembrolizumab treated, rep4 CD8+ TIL, pembrolizumab…
- GSM8224549 CD8+ TIL, pembrolizumab treated, rep5 CD8+ TIL, pembrolizumab…
- GSE290839 PD-1 regulates tumor-infiltrating CD8+ T cells in both a cell-intrinsic and cell-extrinsic fashion [scRNA-seq] 20 samples shares cd8, tumor-infiltrating, rna-seq
- 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
- GSE337601 XCR1+ and CD11b+ migratory dendritic cells cooperate for the crosspriming of intratumoral CD8+ T cells with a tissue-resident memory phenotype [RNA-Seq] 36 samples shares cd8, rna-seq
- GSE306744 Pre-division TCF1 downregulation determines long-term effector and memory CD8 T cell fates [RNA-Seq] 31 samples shares cd8, rna-seq
- GSE316541 α2,6-Sialoglycan-regulated anti-tumor immunity of tumor-infiltrating CD8+ T cells in the tumor microenvironment [CD8+T] 27 samples shares cd8, tumor-infiltrating
- 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 cd8, rna-seq
- GSE215759 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [RNA-seq] 15 samples shares 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 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.