Evidence map›Paper›PMID 41068321›Full record

ArticleCommunications biology2025

Human Cell Aging Transcriptome Atlas (HCATA): a single-cell atlas of age-associated transcriptomic alterations across human tissues.

Josh Bartz, Xiao Ma, Lei Zhang, Xiao Dong

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Josh BartzMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0003-2347-3663
Xiao MaMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0009-0001-1513-5640
Lei ZhangMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA.
Xiao DongMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA. dong0265@umn.edu.ORCID http://orcid.org/0000-0001-9987-5760

Funding

Validation and characterization of the identified variants associated with human longevity in mouse modelsU19AG056278 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JAN VIJG · 2017 to 2026
$24.5M
Project 3 - Role of Proline Metabolism in Regulation of Mammalian Cardiomyocyte ProliferationP01HL160476 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Jianyi Zhang · 2022 to 2026
$13.1M
Midwest Murine-Tissue Mapping Center (MM-TMC)U54AG079754 · NIA · UNIVERSITY OF MINNESOTA · PI GR Scott Budinger, Sundeep Khosla · 2022 to 2026
$11.5M
The role of senescent cells in dysregulating immune responses and pathogen controlP01AI172501 · NIAID · UNIVERSITY OF MINNESOTA · PI DAVID MASOPUST · 2024 to 2026
$10.9M
Minnesota Tissue Mapping Center for Senescent CellsU54AG076041 · NIA · UNIVERSITY OF MINNESOTA · PI LAURA Jane NIEDERNHOFER · 2021 to 2026
$10.5M
Training Grant: Functional Proteomics of AgingT32AG029796 · NIA · UNIVERSITY OF MINNESOTA · PI EDGAR A ARRIAGA, Douglas G Mashek · 2008 to 2026
$6.6M
Somatic mosaicism across mouse tissues during different life stagesR35GM159832 · NIGMS · UNIVERSITY OF MINNESOTA · PI Lei Zhang · 2025 to 2026
$847k
Computational evaluation of the causal role of somatic mutations in human agingR00AG056656 · NIA · UNIVERSITY OF MINNESOTA · PI DONG, XIAO · 2021 to 2023
$747k
NHLBI NIH HHS P01 HL160476NIAID NIH HHS P01 AI172501NIA NIH HHS R00 AG056656NIA NIH HHS T32 AG029796NIA NIH HHS U19 AG056278NIA NIH HHS U54 AG076041NIA NIH HHS U54 AG079754NIGMS NIH HHS R35 GM159832
6 · The paper itself

Abstract

Biological aging is associated with progressively more severe genetic and epigenetic alterations. While these changes are expected to affect the transcriptional profile of cells, the magnitude of that effect is unknown as the aging transcriptome is still poorly understood. Understanding the aging transcriptional landscape will give us greater insight into how cells are affected by and/or respond to the aging process. To facilitate the large-scale exploration of the aging transcriptome, we report the development of the Human Cell Aging Transcriptome Atlas (HCATA). HCATA, contains single-cell RNA-sequencing datasets from 76 publications totaling 92 million cells and 3,475 tissue-level samples across more than 50 tissue types with ages ranging from 0 to 103 years. HCATA includes a genome browser that allows users to interactively explore age-related differential expression, as well as functions to explore related pathways at the tissue and cell-type level. HCATA is publicly accessible at http://hcata-xiaodonglab.org:3304 .

Indexed as

AgingCellular SenescenceSingle-Cell AnalysisTranscriptomeAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDatabases, GeneticFemaleGene Expression ProfilingHumansInfantInfant, Newborn

Identifiers

PMID41068321
PMCPMC12511636

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.