Evidence map›Paper›PMID 41782815›Full record

ArticleiScience2026

Single-cell aging trajectories reveal a dynamic coupling between nuclear size and proteasome concentration.

Michael Mobaraki, Changhui Deng, Jiashun Zheng, Hao Li

Abstract read
In one paragraph

Article in iScience, 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. 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.

Michael MobarakiDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA.
Changhui DengDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA.
Jiashun ZhengDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA.
Hao LiDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA.

Funding

Cellular Aging and Rejuvenation: A Comprehensive Picture from a Dynamic and Network Perspective - Administrative SupplementR01AG058742 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KENNEDY, BRIAN K, LI, HAO · 2018 to 2022
$3.0M
Cellular and Tissue Rejuvenation through Transcriptional ReprogrammingR01AG083524 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAO LI, SAUL A VILLEDA · 2023 to 2026
$2.5M
NIA NIH HHS R01 AG058742NIA NIH HHS R01 AG083524
6 · The paper itself

Abstract

Yeast replicative aging is cell autonomous and thus a good model for mechanistic study from a dynamic systems perspective. Utilizing an engineered strain and a high-throughput microfluidic device, we analyzed the dynamic trajectories of thousands of single yeast mother cells throughout their lifespan, using fluorescent reporters that cover a wide range of biological processes. We found that proteostasis markers are the strongest predictors of the lifespan of individual cells. We observed that proteasome concentration in the nucleus shows dynamics distinct from those in the cytoplasm, with much more rapid decrease during aging; such behavior can be accounted for by the increase of nuclear size in a simple mathematical model of transport. We hypothesize that nuclear enlargement may dilute key nuclear factors, potentially contributing to aging. Our large-scale single-cell dynamics dataset provides a valuable resource for analyzing relationships among aging hallmarks.

Indexed as

cellular physiologydynamical systemintegrative aspects of cell biologymodel organism

Identifiers

PMID41782815
PMCPMC12955095

What OpenQuestion holds

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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.