Evidence map›Paper›PMID 36211119›Full record

ArticleNature aging2021

Profiling epigenetic age in single cells.

Alexandre Trapp, Csaba Kerepesi, Vadim N Gladyshev

Open access · greenAbstract read
In one paragraph

Article in Nature aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
9.9field-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

94 citing papers in PubMed, 143 citations in OpenAlex.

  1. Review
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  7. Research progress on blood therapy for anti-aging.Journal of advanced research · 2026
    Review
  8. Determining the age of single cells using scMLEAge.bioRxiv : the preprint server for biology · 2026
    Article
  9. Histone modification clocks for robust cross-species biological age prediction and elucidating senescence regulation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Human Brain Cell-Type-Specific Aging Clocks Based on Single-Nuclei Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Review
  16. Review
  17. Article
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  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Alexandre TrappDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Csaba KerepesiDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Vadim N GladyshevDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Brigham and Women's Hospital · US

Funding

QUANTITATIVE ASSESSMENT OF BIOLOGICAL AGE AND ITS APPLICATIONSR01AG065403 · NIA · YALE UNIVERSITY · PI Vadim N. Gladyshev, Albert Tzongyang Higgins-Chen · 2020 to 2026
$4.2M
Unbiased identification of interventions that extend lifespanR01AG067782 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI GLADYSHEV, VADIM N. · 2019 to 2023
$3.5M
Role of rare damaging mutations in agingR01AG064223 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI GLADYSHEV, VADIM N. · 2020 to 2024
$2.8M
NIA NIH HHS R01 AG064223NIA NIH HHS R01 AG065403NIA NIH HHS R01 AG067782
6 · The paper itself

Abstract

DNA methylation dynamics emerged as a promising biomarker of mammalian aging, with multivariate machine learning models ('epigenetic clocks') enabling measurement of biological age in bulk tissue samples. However, intrinsically sparse and binarized methylation profiles of individual cells have so far precluded the assessment of aging in single-cell data. Here, we introduce

Indexed as

AgingEpigenesis, GeneticAnimalsBiomarkersDNA MethylationHepatocytesMammalsMiceBiomarkers

Identifiers

PMID36211119
PMCPMC9536112
OpenAlexW4206540351

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.