Omics · study · 2026
Multi-omic profiling of DNA damage-induced senescence in healthy and IPF primary human lung fibroblasts [RNA-seq]
Listed in NCBI GEO
Uncovering senescent fibroblast heterogeneity connects DNA damage response to idiopathic pulmonary fibrosis: Cellular senescence is a highly heterogeneous state of cell stress response that deleteriously accumulates with age and contributes to age-related dysfunction.
Description
While the heterogeneity across cell types is well documented, variation within the same cell type is only beginning to be understood. Here, we show primary, human lung fibroblasts from either donors who are healthy or diagnosed with idiopathic pulmonary fibrosis (IPF) exhibit a subtle form of heterogeneity over time after DNA damage.
Moreover, senescent IPF lung fibroblasts display a dysregulated transcriptional–protein DNA damage response (DDR). Weighted gene correlation network analysis (WGCNA) reveals unique and known targets linking senescent IPF lung fibroblast heterogeneity to genes associated with DNA damage and repair and cytokine and chemokine responses. We combine our healthy and IPF senescent gene expression datasets to develop a novel gene signature of senescence-associated genes that identify disease-relevant cells in human single-cell RNA-seq (scRNA-seq) data.
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Collectively, our results uncover human-relevant senescence signatures, highlight IPF-specific DDR, cytokine, and chemokine targets, and expand our understanding of how a dysregulated DDR contributes to senescent cell heterogeneity in IPF.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE328nnn/GSE328392 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328392 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1454907 ncbi.nlm.nih.gov/bioproject/PRJNA1454907 ↗
project · from NCBI GEO
- PubMed 42315527 pubmed.ncbi.nlm.nih.gov/42315527 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Genetics 70% · RNA sequencing 65% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE328392 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |