Evidence map›Paper›PMID 41811451›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Single-cell analyses identify independent aging processes that compete to determine cellular fate in budding yeast.

Manuel Hotz, Rachel G Kroll-Ling, Nathaniel H Thayer, Daniel E Gottschling

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Single-cell analyses identify independent aging processes that compete to determine cellular fate in budding yeast.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Manuel Hotz *Calico Life Sciences LLC, South San Francisco, CA 94080.
Rachel G Kroll-Ling *Calico Life Sciences LLC, South San Francisco, CA 94080.
Nathaniel H Thayer *Calico Life Sciences LLC, South San Francisco, CA 94080.
Daniel E GottschlingCalico Life Sciences LLC, South San Francisco, CA 94080.ORCID 0000-0002-7303-6552

Funding

Calico Life Sciences (Calico) 0
6 · The paper itself

Abstract

Phenotypic heterogeneity is prevalent during aging, yet its underlying molecular drivers remain poorly understood. 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 reveal 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. However, the ESR is merely a biomarker of this decline and not itself a determinant of lifespan. While rDNA instability and mitochondrial dysfunction are anticorrelated 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 framework for understanding how distinct aging trajectories emerge from independent molecular events.

Indexed as

Cellular SenescenceSaccharomyces cerevisiaeSaccharomycetalesSingle-Cell AnalysisDNA, RibosomalGene Expression Regulation, FungalMembrane Potential, MitochondrialMitochondriaPhenotypeStress, PhysiologicalDNA, Ribosomalagingmitochondriaphenotypic heterogeneitysingle-cell RNA seqyeast

Identifiers

PMID41811451
PMCPMC12993945

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.