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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.

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Life Sciences
Inferred from text
Longitudinal study 65% · Microscopy 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE31887512 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[method].local:method:longitudinal-studyenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:microscopyenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:4932source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title