Evidence map›Paper›PMID 39607904›Full record

ArticleScience (New York, N.Y.)2025

A panoramic view of cell population dynamics in mammalian aging.

Zehao Zhang, Chloe Schaefer, Weirong Jiang, Ziyu Lu, Jasper Lee, Andras Sziraki, Abdulraouf Abdulraouf, Brittney Wick, Maximilian Haeussler, Zhuoyan Li and 4 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Computational modelling of cell identity.The Biochemical journal · 2026
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Zehao ZhangLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-7568-5775
Chloe SchaeferLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0009-0008-2913-9352
Weirong JiangLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0009-0005-7257-6329
Ziyu LuLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0003-4321-2727
Jasper LeeLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0009-0000-1612-6247
Andras SzirakiLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Abdulraouf AbdulraoufLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Brittney WickUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
Maximilian HaeusslerUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.ORCID 0000-0001-8721-8253
Zhuoyan LiNew York Genome Center, New York, NY, USA.ORCID 0009-0002-3486-5785
Gesmira MollaNew York Genome Center, New York, NY, USA.ORCID 0000-0002-8628-5056
Rahul SatijaNew York Genome Center, New York, NY, USA.
Wei ZhouLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0003-4236-4091
Junyue CaoLaboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.ORCID 0000-0003-4097-489X

Funding

Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
The UCSC Genome BrowserU24HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Maximilian Haeussler · 2022 to 2026
$17.6M
Weill Cornell/Rockefeller/Sloan Kettering MST ProgramT32GM152349 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KATHARINE C HSU · 2024 to 2026
$6.6M
Comprehensive reference atlas construction, geolocation and data integration for HuBMAP HIVE [5 of 5]OT2OD033760 · OD · NEW YORK GENOME CENTER · PI SATIJA, RAHUL · 2022 to 2025
$6.1M
Development of novel genomic approaches for profiling cellular temporal-spatial dynamics of neurogenesis in Aging and Alzheimer's diseaseR01AG076932 · NIA · ROCKEFELLER UNIVERSITY · PI Junyue Cao · 2022 to 2026
$4.0M
Single cell dynamics on a whole organism scaleDP2HG012522 · NHGRI · ROCKEFELLER UNIVERSITY · PI CAO, JUNYUE · 2021 to 2024
$2.5M
A visualization interface for BRAIN single cell data, integrating transcriptomics, epigenomics and spatial assaysRF1MH132662 · NIMH · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAEUSSLER, MAXIMILIAN · 2023 to 2023
$866k
NHGRI NIH HHS DP2 HG012522NHGRI NIH HHS RM1 HG011014NHGRI NIH HHS U24 HG002371NIA NIH HHS R01 AG076932NIGMS NIH HHS T32 GM152349NIH HHS OT2 OD033760NIMH NIH HHS RF1 MH132662
6 · The paper itself

Abstract

To elucidate aging-associated cellular population dynamics, we present PanSci, a single-cell transcriptome atlas profiling >20 million cells from 623 mouse tissues across different life stages, sexes, and genotypes. This comprehensive dataset reveals >3000 different cellular states and >200 aging-associated cell populations. Our panoramic analysis uncovered organ-, lineage-, and sex-specific shifts in cellular dynamics during life-span progression. Moreover, we identify both systematic and organ-specific alterations in immune cell populations associated with aging. We further explored the regulatory roles of the immune system on aging and pinpointed specific age-related cell population expansions that are lymphocyte dependent. Our "cell-omics" strategy enhances comprehension of cellular aging and lays the groundwork for exploring the complex cellular regulatory networks in aging and aging-associated diseases.

Indexed as

AgingCellular SenescenceAnimalsCell LineageFemaleGene Expression ProfilingImmune SystemLongevityLymphocytesMaleMiceOrgan SpecificitySingle-Cell AnalysisTranscriptome

Identifiers

PMID39607904
PMCPMC11910726

What OpenQuestion holds

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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.