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Sex disparity in systemic sclerosis-associated pulmonary fibrosis.

GSE317056 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2026/06/03 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 6 × F_NL vs 6 × M_NL vs 6 × F_SSC vs 6 × M_SSCGroups 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
Sex Disparity in Systemic Sclerosis-Associated Pulmonary FibrosisInternational journal of molecular sciences · 2026
Summary (written by the submitters)
Systemic sclerosis (SSc) is a fibrotic disease with high mortality and SSc-associated pulmonary fibrosis (SSc-PF) as the leading cause of death. SSc shows a significant sex disparity with a sex ratio of 1:3 men to women, yet SSc-PF is more severe in men. This study investigates gene expression differences between men and women with SSc-PF.
Read the full summary ↓
Whole lung tissues from healthy donors and SSc-PF patients of both sexes were analyzed by RNA sequencing. Selected genes were validated by quantitative polymerase chain reaction (qPCR) and Western blotting analyses. Notably, in whole lung, genes related to extracellular matrix production, such as COL3A1, COL5A1, PDGFA, THBS1, and THBS2, were upregulated in females, while genes that are less-explicitly related to fibrosis, like GNB3, PCSK4, and PCSK7, were upregulated in males. Additionally, normal lung fibroblasts were treated with recombinant TGFβ to determine if there is a differential response in lung fibroblasts depending on sex. This study reveals differentially expressed genes that are unique to female and male SSc-PF patients and identifies potential sex-specific clinical targets.
Published in
Sex Disparity in Systemic Sclerosis-Associated Pulmonary Fibrosis
Galimba AN, Renaud L, Kotz SE et al. · International journal of molecular sciences 2026 · PMID 42196343 · doi:10.3390/ijms27104363
This dataset
Open GSE317056 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 GSE317056_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 PRJNA1405719 and SRA study SRP664855. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42196343) ↗
Study design
6 × F_NL vs 6 × M_NL vs 6 × F_SSC vs 6 × M_SSC

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 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
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.