Evidence map›Paper›PMID 38496474›Full record

ArticlebioRxiv : the preprint server for biology2024

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 readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.
Chloe SchaeferLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Weirong JiangLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Ziyu LuLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Jasper LeeLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
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.
Zhuoyan LiNew York Genome Center, New York, NY, USA.
Gesmira MollaNew York Genome Center, New York, NY, USA.
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.
Junyue CaoLaboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.

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
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 AG076932NIH HHS OT2 OD033760NIMH NIH HHS RF1 MH132662
6 · The paper itself

Abstract

To elucidate the aging-associated cellular population dynamics throughout the body, here we present PanSci, a single-cell transcriptome atlas profiling over 20 million cells from 623 mouse tissue samples, encompassing a range of organs across different life stages, sexes, and genotypes. This comprehensive dataset allowed us to identify more than 3,000 unique cellular states and catalog over 200 distinct aging-associated cell populations experiencing significant depletion or expansion. Our panoramic analysis uncovered temporally structured, organ- and lineage-specific shifts of cellular dynamics during lifespan progression. Moreover, we investigated aging-associated alterations in immune cell populations, revealing both widespread shifts and organ-specific changes. We further explored the regulatory roles of the immune system on aging and pinpointed specific age-related cell population expansions that are lymphocyte-dependent. The breadth and depth of our 'cell-omics' methodology not only enhance our comprehension of cellular aging but also lay the groundwork for exploring the complex regulatory networks among varied cell types in the context of aging and aging-associated diseases.

Identifiers

PMID38496474
PMCPMC10942312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.