Omics · study · 2026
Single-Cell Analyses Identify Independent Aging Processes that Compete to Determine Cellular Fate in Budding Yeast -- scRNA-seq
Listed in NCBI GEO
Phenotypic heterogeneity is prevalent during aging, yet its underlying molecular drivers remain poorly understood.
Description
In budding yeast, two distinct aging trajectories, characterized by either ribosomal DNA (rDNA) instability or mitochondrial decline, have been proposed to be mutually exclusive. Here, we systematically dissect the heterogeneity among aging yeast cells by combining single-cell transcriptomics with longitudinal fluorescence microscopy.
Our data reveals distinct transcriptional responses that emerge in aging cells, highlighted by loss of rDNA silencing, a hypoxia response, and the Environmental Stress Response (ESR). Contrary to expectation, we establish that ESR induction is not caused by rDNA instability but is instead a consequence of an early decline in mitochondrial membrane potential (MMP). However, the ESR is merely a biomarker of this decline and not itself a determinant of lifespan.
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While rDNA instability and mitochondrial dysfunction are anti-correlated as terminal phenotypes, we find that they are not necessarily mutually exclusive and can instead proceed concurrently within individual cells. Targeted genetic perturbations that are specific for one pathway do not impinge on the other, which is in contradiction to the idea of mutual inhibition between the two. We therefore propose a "competing hazards model", where independent aging processes progress in parallel, and the observed mode of death is determined by which process first reaches a catastrophic failure point.
Our work untangles the causal links between several aging pathways and provides a new framework for understanding how distinct aging trajectories emerge from independent molecular events.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE318nnn/GSE318875 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE318875 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1420739 ncbi.nlm.nih.gov/bioproject/PRJNA1420739 ↗
project · from NCBI GEO
- PubMed 41811451 pubmed.ncbi.nlm.nih.gov/41811451 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Saccharomyces cerevisiae
- From keywords
- Life Sciences
- Inferred from text
- Longitudinal study 65% · Microscopy 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE318875 | 12 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[method].local:method:longitudinal-study | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:microscopy | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:4932 | 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 |