Evidence map›Paper›PMID 36936385›Full record

ArticleNature aging2022

NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health.

SenNet Consortium

Open access · bronzeAbstract read
In one paragraph

Article in Nature aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 2 pooled it
13.0field-weighted citation impact, top 1% 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

98 citing papers in PubMed, 2 syntheses or guidelines pooled it, 118 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. The HuBMAP Framework for Advancing Data FAIRness.bioRxiv : the preprint server for biology · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Chronic Kidney Disease and Cellular Senescence.International journal of molecular sciences · 2026
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

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

1 author at 20 institutions in 3 countries.

SenNet Consortium
University of Pittsburgh · USBuck Institute for Research on Aging · USWashington University in St. Louis · USUniversity of Minnesota · USDuke University · USJackson Laboratory · USPittsburgh Supercomputing Center · USThe University of Texas Health Science Center at San Antonio · USUniversity of Rochester Medical Center · USYale University · USNorthwestern University · USColumbia University · USMayo Clinic in Arizona · USNational Institutes of Health · USUniversity of Michigan · USUniversity of Washington · USLung Institute · USNational Institute on Aging · USNew York Genome Center · USThe Ohio State University Wexner Medical Center · US

Funding

SenNet Supplement - Consortium BenchmarkingU24CA268108 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Philip D. Blood, JONATHAN C. SILVERSTEIN · 2021 to 2026
$22.1M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
TriState SenNET (Lung and Heart) Tissue Map and Atlas consortiumU54AG075931 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TOREN FINKEL, Melanie Koenigshoff · 2021 to 2026
$14.0M
The KAPP-Sen Tissue Mapping Center CollaborativeU54AG075941 · NIA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GAROVIC, VESNA D, KUCHEL, GEORGE A · 2021 to 2025
$13.8M
Data Analysis CoreU54AG076040 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHRISTIANO, ANGELA M, MENON, VILAS · 2021 to 2025
$13.1M
The Duke Senescent Cell Evaluations in Normal Tissues (SCENT) Mapping CenterU54AG075936 · NIA · DUKE UNIVERSITY · PI KRAFT, MONICA, LEE, PATTY J · 2021 to 2025
$12.7M
Senescent cell mapping, identification and validation for human somatic and reproductive tissuesU54AG075932 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI Simon Melov, Birgit Schilling · 2021 to 2026
$12.5M
The Jackson Laboratory Senescence Tissue Mapping Center (JAX-Sen TMC) - Data Analysis CoreU54AG079753 · NIA · JACKSON LABORATORY · PI ROSENTHAL, NADIA A · 2022 to 2025
$11.0M
Minnesota Tissue Mapping Center for Senescent CellsU54AG076041 · NIA · UNIVERSITY OF MINNESOTA · PI Constantin F. Aliferis, LAURA Jane NIEDERNHOFER · 2021 to 2026
$10.5M
WU-SN-TMC Data Analysis CoreU54AG075934 · NIA · WASHINGTON UNIVERSITY · PI FENG CHEN, Li Ding · 2021 to 2026
$8.0M
Yale TMC for Cellular Senescence in Lymphoid OrgansU54AG076043 · NIA · YALE UNIVERSITY · PI HALENE, STEPHANIE · 2021 to 2025
$7.0M
Targeting p21-Highly Expressing Cells to Increase Lifespan and Healthspan in Old AgeR01AG076642 · NIA · UNIVERSITY OF MINNESOTA · PI Ming Xu · 2022 to 2026
$2.4M
NCI NIH HHS U24 CA268108NCI NIH HHS UG3 CA268091NCI NIH HHS UG3 CA268096NCI NIH HHS UG3 CA268103NCI NIH HHS UG3 CA268105NCI NIH HHS UG3 CA268112NCI NIH HHS UG3 CA268117NCI NIH HHS UG3 CA268202NCI NIH HHS UH3 CA268103NCI NIH HHS UH3 CA268117NIA NIH HHS P30 AG044271NIA NIH HHS R01 AG066679NIA NIH HHS R01 AG076642NIA NIH HHS U54 AG075931NIA NIH HHS U54 AG075932NIA NIH HHS U54 AG075934NIA NIH HHS U54 AG075936NIA NIH HHS U54 AG075941NIA NIH HHS U54 AG076040NIA NIH HHS U54 AG076041NIA NIH HHS U54 AG076043NIA NIH HHS U54 AG079753NIDDK NIH HHS R01 DK132535
6 · The paper itself

Abstract

Cells respond to many stressors by senescing, acquiring stable growth arrest, morphologic and metabolic changes, and a proinflammatory senescence-associated secretory phenotype. The heterogeneity of senescent cells (SnCs) and senescence-associated secretory phenotype are vast, yet ill characterized. SnCs have diverse roles in health and disease and are therapeutically targetable, making characterization of SnCs and their detection a priority. The Cellular Senescence Network (SenNet), a National Institutes of Health Common Fund initiative, was established to address this need. The goal of SenNet is to map SnCs across the human lifespan to advance diagnostic and therapeutic approaches to improve human health. State-of-the-art methods will be applied to identify, define and map SnCs in 18 human tissues. A common coordinate framework will integrate data to create four-dimensional SnC atlases. Other key SenNet deliverables include innovative tools and technologies to detect SnCs, new SnC biomarkers and extensive public multi-omics datasets. This Perspective lays out the impetus, goals, approaches and products of SenNet.

Indexed as

Cellular SenescenceLongevityBiomarkersHumansUnited StatesBiomarkers

Identifiers

PMID36936385
PMCPMC10019484
OpenAlexW4313449211

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.