Evidence map›Paper›PMID 31844058›Full record

ArticleNature communications2019

Chaperone biomarkers of lifespan and penetrance track the dosages of many other proteins.

Nikolay Burnaevskiy, Bryan Sands, Soo Yun, Patricia M Tedesco, Thomas E Johnson, Matt Kaeberlein, Roger Brent, Alexander Mendenhall

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Gene-Environment Interactions and Stochastic Variations in the Gero-Exposome.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  14. Article
  15. Career Retrospective: Tom Johnson-Genetics, Genomics, Stress, Stochastic Variation, and Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Transcriptome Analysis of the NematodeFrontiers in physiology · 2020
    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

8 authors.

Nikolay BurnaevskiyDepartment of Pathology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1885-8999
Bryan SandsDepartment of Pathology, University of Washington, Seattle, WA, USA.
Soo YunDepartment of Pathology, University of Washington, Seattle, WA, USA.
Patricia M TedescoDepartment of Integrative Physiology, University of Colorado, Boulder, CO, USA.
Thomas E JohnsonDepartment of Integrative Physiology, University of Colorado, Boulder, CO, USA.
Matt KaeberleinDepartment of Pathology, University of Washington, Seattle, WA, USA.
Roger BrentDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. rbrent@fredhutch.org.ORCID http://orcid.org/0000-0001-8398-3273
Alexander MendenhallDepartment of Pathology, University of Washington, Seattle, WA, USA. alexworm@uw.edu.ORCID http://orcid.org/0000-0002-4716-7671

Funding

THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI JAYADEY, SUMAN · 1985 to 2019
$57.2M
SPECIFICITY OF OXYGEN DNA DAMAGE AND MUTAGENESISP01AG001751 · NIA · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 1985 to 2021
$29.6M
University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Su-In Lee · 1995 to 2026
$27.1M
GENETIC APPROACHES TO AGING RESEARCHT32AG000057 · NIA · UNIVERSITY OF WASHINGTON · PI RABINOVITCH, PETER S · 1985 to 2019
$14.2M
Understanding the antagonistic role of proteostasis in Alzheimer disease and cancer.R01CA219460 · NCI · UNIVERSITY OF WASHINGTON · PI MENDENHALL, ALEXANDER RICHARD · 2018 to 2022
$2.2M
Dynamics of gradient sensing in single cellsR01GM097479 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRENT, ROGER · 2011 to 2014
$2.1M
Causes and consequences of lifespan biomarker variation in Caenorhabditis elegansR00AG045341 · NIA · UNIVERSITY OF WASHINGTON · PI MENDENHALL, ALEXANDER RICHARD · 2016 to 2018
$747k
Precision controllers of mammalian gene expressionR21CA223901 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRENT, ROGER · 2018 to 2020
$695k
Discriminating between causes of age-related variegated gene expressionK99AG061216 · NIA · UNIVERSITY OF WASHINGTON · PI BURNAEVSKIY, NIKOLAY · 2019 to 2021
$396k
NCI NIH HHS R01 CA219460NCI NIH HHS R21 CA223901NIA NIH HHS K99 AG061216NIA NIH HHS P01 AG001751NIA NIH HHS P30 AG013280NIA NIH HHS R00 AG045341NIA NIH HHS T32 AG000057U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R21CA22390U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM97479U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) K99AG061216U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) P30AG013280U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) P50AG005136U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG039025U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) T32AG000057
6 · The paper itself

Abstract

Many traits vary among isogenic individuals in homogeneous environments. In microbes, plants and animals, variation in the protein chaperone system affects many such traits. In the animal model C. elegans, the expression level of hsp-16.2 chaperone biomarkers correlates with or predicts the penetrance of mutations and lifespan after heat shock. But the physiological mechanisms causing cells to express different amounts of the biomarker were unknown. Here, we used an in vivo microscopy approach to dissect different contributions to cell-to-cell variation in hsp-16.2 expression in the intestines of young adult animals, which generate the most lifespan predicting signal. While we detected both cell autonomous intrinsic noise and signaling noise, we found both contributions were relatively unimportant. The major contributor to cell-to-cell variation in biomarker expression was general differences in protein dosage. The hsp-16.2 biomarker reveals states of high or low effective dosage for many genes.

Indexed as

Gene DosagePenetranceAnimalsAnimals, Genetically ModifiedBiomarkersCaenorhabditis elegansCaenorhabditis elegans ProteinsGenes, ReporterHeat-Shock ProteinsIntravital MicroscopyLongevityLuminescent ProteinsMicroscopy, FluorescenceModels, AnimalMolecular ImagingSignal TransductionBiomarkersCaenorhabditis elegans ProteinsHeat-Shock Proteinshsp-16.2 protein, C elegansLuminescent Proteins

Identifiers

PMID31844058
PMCPMC6914778

What OpenQuestion holds

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Registered trials

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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.