Transcriptional response of small-intestinal lamina propria CD4+ T cells to bacterial colonization
RNA-seq (gene expression) · mouse · 12 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
- 12 samples
- 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 GSE89261_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 PRJNA350847 and SRA study SRP092209. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 12 more — browse all 12 samples with per-sample file links →
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- GSE226649 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 64 samples shares cd4
- 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
- GSE275355 Heterochromatin-dependent gene silencing controls CD4 T cell response to Treg-mediated suppression [Tmem] 16 samples shares cd4
- GSE278003 Single cell RNA sequencing of CD45+ immune cells from tumor and tumor-adjacent mammary adipose tissue in a postmenopausal breast cancer model of lean, obese, and weight loss Trem2+/+ and Trem2-/- mice 92 samples shares cd4
- GSE235059 ICOSL, OX40L, and CD30L Control Persistence of Asthmatic CD4 Trm Cells 80 samples shares cd4
- GSE201228 CD4+ T cell activation in absence of WNK1 72 samples shares cd4
- GSE227937 MicroRNA-150 controls experimental autoimmune encephalomyelitis by regulating CD4 T cell differentiation and function 69 samples shares cd4
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.