RNA-seq analysis of integrin β7hi or integrin β7lo PCs, or klf2-sufficient or -deficient PCs
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: 3 × Control vs 3 × Klf2_cKO vs 3 × b7_posi vs 3 × b7_negaGroups 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
- KLF2 expression in IgG plasma cells at their induction site regulates the migration programThe Journal of experimental medicine · 2025
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 GSE266441_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 PRJNA1107186 and SRA study SRP505438. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8247006 Control_1 Control
- GSM8247007 Control_2 Control
- GSM8247008 Control_3 Control
- GSM8247009 Klf2_cKO_1 Klf2_cKO
- GSM8247010 Klf2_cKO_2 Klf2_cKO
- GSM8247011 Klf2_cKO_3 Klf2_cKO
- GSM8247012 b7_posi_1 b7_posi
- GSM8247013 b7_posi_2 b7_posi
- GSM8247014 b7_posi_3 b7_posi
- GSM8247015 b7_nega_1 b7_nega
- GSM8247016 b7_nega_2 b7_nega
- GSM8247017 b7_nega_3 b7_nega
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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.