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STL1267 Inhibits Myofibroblast Differentiation in a TGFβ1-Driven Human Lung Fibroblast Model

GSE293962 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2026/01/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
16 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
STL1267 inhibits myofibroblast differentiation in a TGFβ1-driven human lung fibroblast modelAmerican journal of physiology. Cell physiology · 2026
Summary (written by the submitters)
Pulmonary fibrosis is a progressive interstitial lung disease characterized by excessive fibroblast-to-myofibroblast transition (FMT) and extracellular matrix (ECM) deposition, largely driven by transforming growth factor-beta 1 (TGFβ1). Existing therapies offer limited efficacy, particularly in advanced disease. Circadian rhythms have recently emerged as key modulators of lung inflammation and fibrosis.
Read the full summary ↓
In this study, we developed an in vitro model of chronic fibrotic signaling using adenovirus-mediated TGFβ1 overexpression (Ad-TGFβ1) or human recombinant protein TGFβ1 in primary human lung fibroblasts. Using this model, we investigated the antifibrotic potential of STL1267, a next-generation Rev-erbα agonist with improved potency, specificity, and pharmacokinetic properties. RNA sequencing and pathway analysis revealed that STL1267 significantly reversed Ad-TGFβ1-induced expression of genes associated with ECM remodeling, collagen biosynthesis, and immune suppression. STL1267 also upregulated pathways related to IL-10, IL-4, and IL-13 signaling, which are known to counteract fibrotic responses. Quantitative PCR and immunoblotting confirmed STL1267's ability to downregulate key pro-fibrotic markers, including COL1A1, αSMA, FN1, and FAP, at both gene and protein levels. Comparative studies with other Rev-erbα agonists (GSK4112, SR9009), Saracatinib, and FDA-approved antifibrotic drugs (Pirfenidone, Nintedanib) demonstrated superior efficacy of STL1267 in inhibiting both preventive and post-fibrotic induction models. Moreover, lentiviral overexpression of Rev-erbα suppressed TGFβ1-induced αSMA expression, supporting a direct antifibrotic role. These findings highlight Rev-erbα as a key regulator of myofibroblast differentiation and support both STL1267 and GSK4112 as promising candidates for circadian-based antifibrotic therapy. Future in vivo studies are warranted to evaluate its translational potential in idiopathic pulmonary fibrosis.
Published in
STL1267 inhibits myofibroblast differentiation in a TGFβ1-driven human lung fibroblast model
Prasad C, Huang SK, Burris TP et al. · American journal of physiology. Cell physiology 2026 · PMID 41512274 · doi:10.1152/ajpcell.00561.2025
This dataset
Open GSE293962 in finder → Find more human 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 GSE293962_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 PRJNA1247501 and SRA study SRP577021. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41512274) ↗
Study design
A cohort of 16 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run Sample_1 … Sample_30 and carry no group information.

Samples in this study
Datasets on a similar topic

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