Bulk RNA sequencing of bone marrow CD8+ T cells in BMF mice treated with or without baricitinib at different time points
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 16 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
- Selective Janus kinase inhibitors exhibit different effects in murine immune aplastic anemiaHemaSphere · 2026
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 GSE293533_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 PRJNA1244889 and SRA study SRP575721. 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 16 sample titles: 16 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.
- GSM8884759 XF-10_S10
- GSM8884760 XF-11_S11
- GSM8884761 XF-12_S12
- GSM8884762 XF-13_S13
- GSM8884763 XF-14_S14
- GSM8884764 XF-15_S15
- GSM8884765 XF-16_S16
- GSM8884766 XF-1_S1
- GSM8884767 XF-2_S2
- GSM8884768 XF-3_S3
- GSM8884769 XF-4_S4
- GSM8884770 XF-5_S5
- GSM8884771 XF-6_S6
- GSM8884772 XF-7_S7
- GSM8884773 XF-8_S8
- GSM8884774 XF-9_S9
- GSE338265 Smad4 and Eomes converge on a shared transcriptional program associated with inflammatory CD8 T-cell differentiation 31 samples shares cd8, different
- GSE215759 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [RNA-seq] 15 samples shares cd8, different
- GSE290455 RNAseq of activated CD8+ T cells with and without Glutamine Synthetase 10 samples shares cd8, without
- GSE252358 Acetylcyssteine synergizes PD-1 blockers against colorectal cancer progression by promoting TCF1+PD1+CD8+ T cell differentiation in mice 10 samples shares cd8, different
- GSE334890 Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors 48 samples shares cd8, different
- GSE342312 T-bet and Runx3 orchestrate effector CD8 T cell differentiation and lineage fidelity through cooperative and distinct chromatin regulatory mechanisms [Multi-omics] 40 samples shares cd8, different
- GSE157232 The CD8+ T cell tolerance checkpoint triggers a transcriptionally and epigenetically distinct differentiation state defined by protein translation defects 30 samples shares cd8, different
- GSE293709 Transcriptome analysis in the prefrontal cortex of different ASD mouse models treated with drug 1565 samples shares different, treated
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.