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RNA-seq analysis of bead-purified B cells of (i) 5-7-week-old Tlr779 or Tlr7WT (all Tlr9-/-) MRL/lpr mice

GSE269457 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/12/31 Platform GPL24247
At a glance

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
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
Divergent TIR signaling domains in TLR7 and TLR9 control opposing effects on systemic autoimmunityThe Journal of clinical investigation · 2025
Summary (written by the submitters)
RNA-seq analysis of bead-purified B cells of (i) 5-7-week-old Tlr779 or Tlr7WT (all Tlr9-/-) MRL/lpr mice,stimulated or not with TLR7 agonists (CL097, invivogen) and of (ii) 5-7-week-old Tlr997 or Tlr9+/- (all Tlr7-/-) MRL/lpr mice, stimulated or not with CpG (ODN 1826, Hokkaido System Science) . The goal of this study was to evaluate if CL097 or CpG induced qualitatively different responses in Tlr7WT or Tlr779 (all Tlr9-/-) B cells and in Tlr9+/- or Tlr997 (all Tlr7-/-) B cells, respectively.
Published in
Divergent TIR signaling domains in TLR7 and TLR9 control opposing effects on systemic autoimmunity
Leibler C, Thomas KB, Josensi C et al. · The Journal of clinical investigation 2025 · PMID 40794441 · doi:10.1172/JCI189566
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE269457_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1122063 and SRA study SRP512843. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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