Activin A activation of Smad3 confers a natural brake to innate inflammation
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 4 × WT vs 4 × WT LPS vs 4 × Smad3 KO vs 4 × Smad3 KO LPSGroups 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
- Activin A activation of Smad3 mitigates innate inflammation in mouse models of psoriasis and sepsisThe Journal of clinical investigation · 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 GSE284154_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 PRJNA1197466 and SRA study SRP551115. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8679048 WT Replicate 1 WT
- GSM8679049 WT LPS Replicate 1 WT LPS
- GSM8679050 Smad3 KO Replicate 1 Smad3 KO
- GSM8679051 Smad3 KO LPS Replicate 1 Smad3 KO LPS
- GSM8679052 WT Replicate 2 WT
- GSM8679053 WT LPS Replicate 2 WT LPS
- GSM8679054 Smad3 KO Replicate 2 Smad3 KO
- GSM8679055 Smad3 KO LPS Replicate 2 Smad3 KO LPS
- GSM8679056 WT Replicate 3 WT
- GSM8679057 WT LPS Replicate 3 WT LPS
- GSM8679058 Smad3 KO Replicate 3 Smad3 KO
- GSM8679059 Smad3 KO LPS Replicate 3 Smad3 KO LPS
- GSM8679060 WT Replicate 4 WT
- GSM8679061 WT LPS Replicate 4 WT LPS
- GSM8679062 Smad3 KO Replicate 4 Smad3 KO
- GSM8679063 Smad3 KO LPS Replicate 4 Smad3 KO LPS
- GSE281467 Coactivation of innate immune suppressive cells induces acquired resistance against cancer immunotherapy targeting the innate immune system [TIICs RNA-seq] 30 samples shares activation, innate
- GSE313021 STING–IFN–CH25H lipid axis links innate immune activation to tau pathology [scRNA-seq] 16 samples shares activation, innate
- GSE268791 TGF-b/Smad3 inhibition synergizes with PPARg agonism to reduce fibrosis and enhance functional beige adipogenesis 18 samples shares smad3
- GSE227606 Transcriptional regulation of microglia priming by IRF7, IRF9 and SMAD3 in accelerated aging mice [RNA-seq] 16 samples shares smad3
- GSE241176 Fibroblast-specific TGF-b signaling mediates dysfunction, fibrosis and hypertrophy in a mouse model of obesity-associated type 2 diabetes [RNA-seq: Smad3 in dbdb] 12 samples shares smad3
- GSE297515 Piezo1-dependent activation of stromal cells ignites muscle inflammation in exercise and injury and is associated with inflammaging 90 samples shares activation
- GSE315433 Versatile SMAD2 and SMAD3 epitope-tagged mouse models for genome-wide profiling of TGFβ superfamily signaling: uncovering novel GDF9-SMAD2/3 target genes 44 samples shares smad3
- GSE255212 Transcriptomic Signatures of WNT-Driven Pathways and Granulosa Cell-Oocyte Interaction during Primordial Follicle Activation 762 samples shares activation
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.