Omics · study · 2026
Gene expression changes of C.elegans during aging and in daf-16(mu86) mutants
Listed in NCBI GEO
Aging is characterized by continuous deterioration of resilience and an increase in risk of diseases, leading to a gradual decline in function and, ultimately, death.
Description
Most of the studies on aging transcriptome focused on whether the interventions can reverse the aging transcriptome, while the dynamics of the aging transcriptome is overlooked. We generated a transcriptomic dataset to investigate the molecular dynamics of aging and the role of insulin/IGF-1 signaling in regulating age-associated gene expression changes.
Using Caenorhabditis elegans, we performed RNA sequencing across multiple time points during adulthood in both wild-type (N2) and daf-16(mu86) mutant animals, which lack the key FOXO transcription factor downstream of insulin/IGF-1 signaling.This dataset captures temporal gene expression changes associated with physiological aging and enables comparison between normal aging and impaired stress-response signaling. Samples were collected at defined adult stages, and total RNA was extracted for high-throughput sequencing.
Read the rest (1 more)
Differential expression and downstream analyses can be used to identify aging-associated transcriptional programs, distinguish adaptive versus potentially causative gene expression changes, and characterize daf-16-dependent regulatory networks. These data provide a resource for studying the systems-level architecture of aging, benchmarking transcriptomic aging clocks, and identifying gene modules associated with longevity and stress responses.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE329nnn/GSE329137 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329137 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1458046 ncbi.nlm.nih.gov/bioproject/PRJNA1458046 ↗
project · from NCBI GEO
Topics
- Stated by source
- Caenorhabditis elegans · Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE329137 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| 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 (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:6239 | 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 |