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Small molecule probe for IBD risk variant GPR65 I231L alters cytokine signaling networks through positive allosteric modulation

GSE243692 Mus musculus (mouse) RNA-seq (gene expression) 90 samples Submitted 2024/06/27 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 90 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
90 samples: 30 conditions, mostly in triplicateGroups 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
Small-molecule probe for IBD risk variant GPR65 I231L alters cytokine signaling networks through positive allosteric modulationScience advances · 2024
Summary (written by the submitters)
BRD5075 is a positive allosteric modulator of GPR65. Activity has been demonstrated by cAMP production in HeLa cells overexpessing GPR65 and target engagment has been confirmed. BRD5075 also decreases TNF-a secretion by GPR65 WT BMDCs. Goal is to identify differentially expressed genes in response to this GPR65 PAM
Published in
Small-molecule probe for IBD risk variant GPR65 I231L alters cytokine signaling networks through positive allosteric modulation
Neale I, Reddy C, Tan ZY et al. · Science advances 2024 · PMID 39028811 · doi:10.1126/sciadv.adn2339
This dataset
Open GSE243692 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE243692_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1019398 and SRA study SRP462096. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39028811) ↗
Study design
30 conditions, mostly in triplicate
WT_6.6_DMSO_2h ×3 WT_7.2_DMSO_2h ×3 WT_7.2_BRD5075_2h ×3 WT_7.6_DMSO_2h ×3 WT_7.6_PGE2_2h ×3 I231L_6.6_DMSO_2h ×3 I231L_7.2_DMSO_2h ×3 I231L_7.2_BRD5075_2h ×3 +22 more

Supports a between-group comparison across 90 samples.

How we read this: 30 replicated groups read from 90 sample titles; they account for 90 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

+ 50 more — browse all 90 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.