An IL-21-expressing effector CD8+ T cell subset provides superior control of infection and cancer
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: 8 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.
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 GSE262925_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 PRJNA1094923 and SRA study SRP499012. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 8 replicated groups read from 20 sample titles; they account for 16 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.
- GSM8181548 D5 Armstrong VFP+ rep1 D5 Armstrong VFP+
- GSM8181549 D5 Armstrong VFP+ rep2 D5 Armstrong VFP+
- GSM8181550 D5 Armstrong VFP- rep1 D5 Armstrong VFP
- GSM8181551 D5 Armstrong VFP- rep2 D5 Armstrong VFP
- GSM8181552 D5 Cl13 VFP+ rep1 D5 Cl13 VFP+
- GSM8181553 D5 Cl13 VFP+ rep2 D5 Cl13 VFP+
- GSM8181554 D5 Cl13 VFP- rep1 D5 Cl13 VFP
- GSM8181555 D5 Cl13 VFP- rep2 D5 Cl13 VFP
- GSM8181556 D5 Armstrong YFP+ rep1 D5 Armstrong YFP+
- GSM8181557 D5 Armstrong YFP+ rep2 D5 Armstrong YFP+
- GSM8181558 D5 Armstrong YFP- rep1 D5 Armstrong YFP
- GSM8181559 D5 Armstrong YFP- rep2 D5 Armstrong YFP
- GSM8181560 D5 Cl13 YFP+ rep1 D5 Cl13 YFP+
- GSM8181561 D5 Cl13 YFP+ rep2 D5 Cl13 YFP+
- GSM8181562 D5 Cl13 YFP- rep1 D5 Cl13 YFP
- GSM8181563 D5 Cl13 YFP- rep2 D5 Cl13 YFP
- GSM8181564 D30 Armstrong YFP+ rep1
- GSM8181565 D30 Armstrong YFP- rep1
- GSM8181566 D30 Cl13 YFP+ rep1
- GSM8181567 D30 Cl13 YFP- rep1
- GSE255887 HDAC1 controls the generation and maintenance of effector-like CD8+ T cells during chronic viral infection 76 samples shares cd8, effector, control
- GSE261250 Gfi1 controls the formation of effector CD8+ T cells during chronic infection and cancer 47 samples shares cd8, effector, control
- GSE270717 The m6A demethylase FTO controls activation-induced cell death in effector CD8+ T cells by modulating Fas expression 10 samples shares cd8, effector, control
- GSE302682 Sleeping Beauty mutagenesis identifies BACH2 and other regulators promoting CD8+ T cell persistence and effector function under tumor-associated chronic antigen stimulation - RNAseq 66 samples shares cd8, effector
- GSE306744 Pre-division TCF1 downregulation determines long-term effector and memory CD8 T cell fates [RNA-Seq] 31 samples shares cd8, effector
- GSE248272 Therapeutically targeting perivascular macrophage effector function improves CD8+ T-cell infiltration and response to chemotherapeutic drugs in cancer 30 samples shares cd8, effector
- 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, effector
- GSE215759 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [RNA-seq] 15 samples shares cd8, effector
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.