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Impact of SLC15A4, TASL and TASL2(Gm6377) deficiency on endolysosomal TLR7 and TLR9 responses

GSE267786 Mus musculus (mouse) RNA-seq (gene expression) 95 samples Submitted 2024/11/04 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 95 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
95 samples: 25 conditions, mostly with about 4 replicates eachGroups 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
The TLR7/9 adaptors TASL and TASL2 mediate IRF5-dependent antiviral responses and autoimmunity in mouseNature communications · 2025
Summary (written by the submitters)
Nucleic acid sensing by endolysosomal TLR7-9 results in the induction of antiviral and proinflammatory transcriptional responses. We recently identified TASL as the innate immune adaptor mediating TLR7-9-induced IRF5 activation via the interaction with SLC15A4, but its relevance in primary murine cells remained unexplored. Here we assessed the impact of deficiency in TASL and/or its previously uncharacterized paralogue Gm6377, named here TASL2, on endolysosomal TLR responses in primary bone-marrow-derived pDCs and splenic B cells.
Read the full summary ↓
Double knockout TASLxTASL2 (TASLDKO) phenocopied the strong impairement observed in cells from SLC15A4-deficient feeble mice, while single TASL or TASL2 deficiency showed partial effect. Altogether, this study demonstrates that the SLC15A4-TASL/TASL2 complex play a critical role for TLR7-9-driven inflammatory responses.
Published in
The TLR7/9 adaptors TASL and TASL2 mediate IRF5-dependent antiviral responses and autoimmunity in mouse
Drobek A, Bernaleau L, Delacrétaz M et al. · Nature communications 2025 · PMID 39856058 · doi:10.1038/s41467-024-55692-y
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 GSE267786_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 PRJNA1112874 and SRA study SRP508411. Searching any of these in the dataset finder brings you back here.

Study design
25 conditions, mostly with about 4 replicates each
B cells, WT TLR9, 6h, ×4 B cells, TASL TLR9, 6h, ×4 B cells, TASL2 TLR9, 6h, ×4 B cells, TASLDKO TLR9, 6h, ×4 B cells, SLC15A4 TLR9, 6h, ×4 BM-pDC, WT non-stim, ×4 BM-pDC, WT TLR7, 4h, ×4 BM-pDC, WT TLR9, 6h, ×4 +17 more

Supports a between-group comparison across 95 samples.

How we read this: 25 replicated groups read from 95 sample titles; they account for 95 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.

Samples in this study

+ 55 more — browse all 95 samples with per-sample file links →

Datasets on a similar topic

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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.