RNA-seq of resting and stimulated CD4+ and CD8+ T cells from wt and Raptor-deleted mice
RNA-seq (gene expression) · mouse · 27 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
- 27 samples: 27 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
- Reciprocal regulation of mTORC1 signaling and ribosomal biosynthesis determines cell cycle progression in activated T cellsScience signaling · 2024
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 GSE217350_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 PRJNA898425 and SRA study SRP406383. 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 27 sample titles: 27 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.
- GSM6715303 1 WT-CD4-7 1 StP212
- GSM6715304 2 WT-CD4-7 2 StP213
- GSM6715305 3 WT-CD4-7 3 StP219
- GSM6715306 4 WT-CD4-3-28 1 StP212
- GSM6715307 5 WT-CD4-3-28 2 StP213
- GSM6715308 6 WT-CD4-3-28 3 StP219
- GSM6715309 7 WT-CD8-7 1 StP212
- GSM6715310 8 WT-CD8-7 2 StP213
- GSM6715311 9 WT-CD8-7 3 StP219
- GSM6715312 10 WT-CD8-3-28 1 StP212
- GSM6715313 11 WT-CD8-3-28 2 StP213
- GSM6715314 12 WT-CD8-3-28 3 StP219
- GSM6715315 13 RAP-CD4-7 1 StP212
- GSM6715316 14 RAP-CD4-7 2 StP213
- GSM6715317 15 RAP-CD4-7 3 StP219
- GSM6715318 16 RAP-CD4-3-28 1 StP212
- GSM6715319 17 RAP-CD4-3-28 2 StP213
- GSM6715320 18 RAP-CD4-3-28 3 StP219
- GSM6715321 19 RAP-CD8-7 1 StP212
- GSM6715322 20 RAP-CD8-7 2 StP213
- GSM6715323 21 RAP-CD8-7 3 StP219
- GSM6715324 22 RAP-CD8-3-28 1 StP212
- GSM6715325 23 RAP-CD8-3-28 2 StP213
- GSM6715326 24 RAP-CD8-3-28 3 StP219
- GSM6715327 25 RIC-CD8-3-28 1 StP219
- GSM6715328 26 RIC-CD8-3-28 2 StP219
- GSM6715329 27 RIC-CD8-3-28 3 StP219
- GSE325329 Transcriptomic profiling of macrophages that phagocytosed apoptotic Treg or conventional CD4⁺ T (Tconv) cells under different polarization conditions [RNA-Seq] 28 samples shares cd4, rna-seq
- GSE290839 PD-1 regulates tumor-infiltrating CD8+ T cells in both a cell-intrinsic and cell-extrinsic fashion [scRNA-seq] 20 samples shares 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 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
- GSE313761 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - scRNA-seq of Adam12CKO Mouse Model CD45- cells 11 samples shares cd4, 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
- GSE275974 SATB1 is a key regulator of quiescence in stem-like CD8+ T cells [RNA-seq] 10 samples shares cd8, rna-seq
- GSE222996 The immune landscape of the “deregulated host response” in sepsis: newly emerging MDSCs with high expression of CD47 leads to B cell suppression via App-CD74 signaling [RNA-seq] 61 samples shares cd4, 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.