Evidence map›Paper›PMID 31385433›Full record

ReviewProteomics2020

Trajectories of Aging: How Systems Biology in Yeast Can Illuminate Mechanisms of Personalized Aging.

Matthew M Crane, Kenneth L Chen, Ben W Blue, Matt Kaeberlein

Open access · greenAbstract readReview
In one paragraph

Review in Proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 at 1 institution in 1 country.

Matthew M CraneDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, 98195, USA.
Kenneth L ChenDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, 98195, USA.
Ben W BlueDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, 98195, USA.
Matt KaeberleinDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-1311-3421
University of Washington · US

Funding

SPECIFICITY OF OXYGEN DNA DAMAGE AND MUTAGENESISP01AG001751 · NIA · UNIVERSITY OF WASHINGTON · PI PRUSKY, GLEN THOMAS · 1985 to 2021
$29.6M
University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Maitreya J Dunham · 1995 to 2026
$27.1M
GENETIC APPROACHES TO AGING RESEARCHT32AG000057 · NIA · UNIVERSITY OF WASHINGTON · PI RABINOVITCH, PETER S · 1985 to 2019
$14.2M
Neurobehavior, Neuropathology, and Risk Factors in Alzheimer's DiseaseT32AG052354 · NIA · UNIVERSITY OF WASHINGTON · PI Brian C. Kraemer, ELAINE R. PESKIND · 2016 to 2026
$6.7M
Emergent properties of signaling network degradation that mediate homeostatic failure during agingR01AG056359 · NIA · UNIVERSITY OF WASHINGTON · PI KAEBERLEIN, MATT, VILLEN, JUDIT · 2017 to 2021
$2.9M
Whole-lifespan monitoring of yeast healthF30AG052225 · NIA · UNIVERSITY OF WASHINGTON · PI CHEN, KENNETH · 2016 to 2019
$179k
NIA NIH HHS F30 AG052225NIA NIH HHS P01 AG001751NIA NIH HHS P30 AG013280NIA NIH HHS R01 AG056359NIA NIH HHS T32 AG000057NIA NIH HHS T32 AG052354
6 · The paper itself

Abstract

All organisms age, but the extent to which all organisms age the same way remains a fundamental unanswered question in biology. Across species, it is now clear that at least some aspects of aging are highly conserved and are perhaps universal, but other mechanisms of aging are private to individual species or sets of closely related species. Within the same species, however, it has generally been assumed that the molecular mechanisms of aging are largely invariant from one individual to the next. With the development of new tools for studying aging at the individual cell level in budding yeast, recent data has called this assumption into question. There is emerging evidence that individual yeast mother cells may undergo fundamentally different trajectories of aging. Individual trajectories of aging are difficult to study by traditional population level assays, but through the application of systems biology approaches combined with novel microfluidic technologies, it is now possible to observe and study these phenomena in real time. Understanding the spectrum of mechanisms that determine how different individuals age is a necessary step toward the goal of personalized geroscience, where healthy longevity is optimized for each individual.

Indexed as

AgingCellular SenescenceAnimalsHumansLongevityMicrofluidic Analytical TechniquesSaccharomyces cerevisiaeSingle-Cell AnalysisSpecies SpecificitySystems Biologybudding yeastlongevityreplicative lifespanSaccharomyces cerevisiaesingle cells

Identifiers

PMID31385433
PMCPMC7000301
OpenAlexW2965177839

What OpenQuestion holds

Textmetadata
LicenceTDM
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.