Evidence map›Paper›PMID 36463290›Full record

ArticleScientific data2022

A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations.

Gabriel Sturm, Anna S Monzel, Kalpita R Karan, Jeremy Michelson, Sarah A Ware, Andres Cardenas, Jue Lin, Céline Bris, Balaji Santhanam, Michael P Murphy and 8 more

Abstract read
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. The Energetic Cost of Adrenergic Signaling in Primary Human Fibroblasts.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Multiomics of Aging and Aging-Related Diseases.International journal of molecular sciences · 2024
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Transcriptional drift in aging cells: A global decontroller.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Article
  20. Review
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

18 authors.

Gabriel SturmDivision of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.ORCID 0000-0002-7280-4310
Anna S MonzelDivision of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
Kalpita R KaranDivision of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
Jeremy MichelsonDivision of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
Sarah A WareUniversity of Pittsburgh, School of Medicine, Division of Cardiology, Center for Metabolism and Mitochondrial Medicine and Vascular Medicine Institute, Pittsburgh, PA, USA.
Andres CardenasDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0003-2284-3298
Jue LinDepartment of Biochemistry and Biophysics, University of California, San Francisco, CA, USA.
Céline BrisUMR CNRS 6015, INSERM U1083, MITOVASC, SFR ICAT, Université d'Angers, Angers, F-49000, France.
Balaji SanthanamDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Michael P MurphyMRC-Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK.ORCID 0000-0003-1115-9618
Morgan E LevineDepartment of Pathology, Yale University School of Medicine, New Haven, CT, 06520, USA.
Steve HorvathAltos Labs, San Diego, USA.ORCID 0000-0002-4110-3589
Daniel W BelskyDepartment of Epidemiology & Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA.
Shuang WangDepartment of Biostatistics, Columbia University Irving Medical Center, New York, NY, USA.
Vincent ProcaccioUMR CNRS 6015, INSERM U1083, MITOVASC, SFR ICAT, Université d'Angers, Angers, F-49000, France.
Brett A KaufmanUniversity of Pittsburgh, School of Medicine, Division of Cardiology, Center for Metabolism and Mitochondrial Medicine and Vascular Medicine Institute, Pittsburgh, PA, USA.ORCID 0000-0003-4767-4937
Michio HiranoMerritt Center and Columbia Translational Neuroscience Initiative, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Martin PicardDivision of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA. martin.picard@columbia.edu.

Funding

Metabolic regulation of human DNA methylation clocksR01AG066828 · NIA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI PICARD, MARTIN · 2020 to 2024
$3.2M
NIA NIH HHS R01 AG066828
6 · The paper itself

Abstract

Aging is a process of progressive change. To develop biological models of aging, longitudinal datasets with high temporal resolution are needed. Here we report a multi-omics longitudinal dataset for cultured primary human fibroblasts measured across their replicative lifespans. Fibroblasts were sourced from both healthy donors (n = 6) and individuals with lifespan-shortening mitochondrial disease (n = 3). The dataset includes cytological, bioenergetic, DNA methylation, gene expression, secreted proteins, mitochondrial DNA copy number and mutations, cell-free DNA, telomere length, and whole-genome sequencing data. This dataset enables the bridging of mechanistic processes of aging as outlined by the "hallmarks of aging", with the descriptive characterization of aging such as epigenetic age clocks. Here we focus on bridging the gap for the hallmark mitochondrial metabolism. Our dataset includes measurement of healthy cells, and cells subjected to over a dozen experimental manipulations targeting oxidative phosphorylation (OxPhos), glycolysis, and glucocorticoid signaling, among others. These experiments provide opportunities to test how cellular energetics affect the biology of cellular aging. All data are publicly available at our webtool: https://columbia-picard.shinyapps.io/shinyapp-Lifespan_Study/.

Indexed as

AgingFibroblastsCellular SenescenceGlycolysisHumansLongevity

Identifiers

PMID36463290
PMCPMC9719499

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.