RNA seq of activated CD8 T cells of WT and Card11 mutant mice(E134G/K215M)
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 conditions, mostly in triplicateGroups 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 GSE292542_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 PRJNA1234802. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8861156 K215M_naive_repeat3 K215M_naive_repeat
- GSM8861157 K215M_naive_repeat2 K215M_naive_repeat
- GSM8861158 K215M_naive_repeat1 K215M_naive_repeat
- GSM8861159 E134G_naive_repeat3 E134G_naive_repeat
- GSM8861160 E134G_naive_repeat2 E134G_naive_repeat
- GSM8861161 E134G_naive_repeat1 E134G_naive_repeat
- GSM8861162 WT_naive_repeat3 WT_naive_repeat
- GSM8861163 WT_naive_repeat2 WT_naive_repeat
- GSM8861164 WT_naive_repeat1 WT_naive_repeat
- GSM8861165 K215M_activated_repeat3 K215M_activated_repeat
- GSM8861166 K215M_activated_repeat2 K215M_activated_repeat
- GSM8861167 K215M_activated_repeat1 K215M_activated_repeat
- GSM8861168 E134G_activate_repeat3 E134G_activate_repeat
- GSM8861169 E134G_activate_repeat2 E134G_activate_repeat
- GSM8861170 E134G_activate_repeat1 E134G_activate_repeat
- GSM8861171 WT_activte_repeat3 WT_activte_repeat
- GSM8861172 WT_activte_repeat2 WT_activte_repeat
- GSM8861173 WT_activte_repeat1 WT_activte_repeat
- GSE253492 Transcriptional Regulation by NFATc1 and NFATc2 in chronically activated CD8+ T cells 16 samples shares cd8, activated
- GSE290455 RNAseq of activated CD8+ T cells with and without Glutamine Synthetase 10 samples shares cd8, activated
- GSE232024 Differences in gene expression of liver cancer cells after co-culture with activated CD8+ T cells in vitro 10 samples shares cd8, activated
- GSE281719 PD-1 Mediated Regulation of Unique Activated CD8+ T Cells by NK Cells in the Submandibular Gland [I15, I16] 60 samples shares cd8, activated
- GSE293533 Bulk RNA sequencing of bone marrow CD8+ T cells in BMF mice treated with or without baricitinib at different time points 16 samples shares cd8
- 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
- GSE331107 The transcription factor AFF3 is necessary to maintain metabolic quiescence in naïve CD8 T cells and prevent premature immune aging 30 samples shares cd8
- GSE316541 α2,6-Sialoglycan-regulated anti-tumor immunity of tumor-infiltrating CD8+ T cells in the tumor microenvironment [CD8+T] 27 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.