Evidence map›Paper›PMID 39173586›Full record

ArticleCell systems2024

Enhanced cellular longevity arising from environmental fluctuations.

Yuting Liu, Zhen Zhou, Hetian Su, Songlin Wu, Gavin Ni, Alex Zhang, Lev S Tsimring, Jeff Hasty, Nan Hao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yuting LiuDepartment of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Zhen ZhouDepartment of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: zzhou@sioc.ac.cn.
Hetian SuDepartment of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Songlin WuDepartment of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Gavin NiDepartment of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Alex ZhangDepartment of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Lev S TsimringSynthetic Biology Institute, University of California, San Diego, La Jolla, CA 92093, USA.
Jeff HastyDepartment of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA; Synthetic Biology Institute, University of California, San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Nan HaoDepartment of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA; Synthetic Biology Institute, University of California, San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: nhao@ucsd.edu.

Funding

Network-Driven Dynamics of Replicative AgingR01AG056440 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEFF M HASTY, Nan Hao · 2017 to 2026
$5.6M
Dynamically compartmentalized control of gene expression by messenger ribonucleoprotein granulesR01GM111458 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAO, NAN · 2014 to 2022
$3.4M
Reprogramming cell-fate decisions through predictive modeling and synthetic biologyR01GM144595 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAO, NAN, HASTY, JEFF M · 2022 to 2025
$2.8M
Systems biology analysis of RNA-binding protein aggregation during cellular agingR01AG068112 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAO, NAN · 2021 to 2025
$2.3M
NIA NIH HHS R01 AG056440NIA NIH HHS R01 AG068112NIGMS NIH HHS R01 GM111458NIGMS NIH HHS R01 GM144595
6 · The paper itself

Abstract

Cellular longevity is regulated by both genetic and environmental factors. However, the interactions of these factors in the context of aging remain largely unclear. Here, we formulate a mathematical model for dynamic glucose modulation of a core gene circuit in yeast aging, which not only guided the design of pro-longevity interventions but also revealed the theoretical principles underlying these interventions. We introduce the dynamical systems theory to capture two general means for promoting longevity-the creation of a stable fixed point in the "healthy" state of the cell and the "dynamic stabilization" of the system around this healthy state through environmental oscillations. Guided by the model, we investigate how both of these can be experimentally realized by dynamically modulating environmental glucose levels. The results establish a paradigm for theoretically analyzing the trajectories and perturbations of aging that can be generalized to aging processes in diverse cell types and organisms.

Indexed as

GlucoseSaccharomyces cerevisiaeCellular SenescenceEnvironmentGene Regulatory NetworksLongevityModels, BiologicalGlucoseagingcaloric restrictioncomputational modelingdynamical systems theorylongevitymetabolismquantitative biologysingle-cell imagingsystems biologytime-lapse microscopy

Identifiers

PMID39173586
PMCPMC11380573

What Socratic holds

Textmetadata
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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 Socratic graph.