Evidence map›Paper›PMID 38724668›Full record

ArticleNature biotechnology2025

Tracking single-cell evolution using clock-like chromatin accessibility loci.

Yu Xiao, Wan Jin, Lingao Ju, Jie Fu, Gang Wang, Mengxue Yu, Fangjin Chen, Kaiyu Qian, Xinghuan Wang, Yi Zhang

Abstract read
In one paragraph

Article in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Cell lineage tracing: Methods, applications, and challenges.Quantitative biology (Beijing, China) · 2025
    Review
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

10 authors.

Yu Xiao *Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0003-1377-9685
Wan Jin *Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Lingao Ju *Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0003-0813-3628
Jie Fu *Hong Kong University of Science and Technology, Hong Kong, China.ORCID http://orcid.org/0000-0002-4494-843X
Gang WangDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0002-4690-9020
Mengxue YuDepartment of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fangjin ChenHigh Performance Computing Center, Peking-Tsinghua College of Life Sciences, Peking University, Beijing, China.
Kaiyu QianDepartment of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0003-4153-1265
Xinghuan WangDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China. wangxinghuan@whu.edu.cn.ORCID http://orcid.org/0000-0003-3497-0024
Yi ZhangEuler Technology, ZGC Life Sciences Park, Beijing, China. zy@eulertechnology.com.ORCID http://orcid.org/0000-0001-5388-1276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell chromatin accessibility sequencing (scATAC-seq) reconstructs developmental trajectory by phenotypic similarity. However, inferring the exact developmental trajectory is challenging. Previous studies showed age-associated DNA methylation (DNAm) changes in specific genomic regions, termed clock-like differential methylation loci (ClockDML). Age-associated DNAm could either result from or result in chromatin accessibility changes at ClockDML. As cells undergo mitosis, the heterogeneity of chromatin accessibility on clock-like loci is reduced, providing a measure of mitotic age. In this study, we developed a method, called EpiTrace, that counts the fraction of opened clock-like loci from scATAC-seq data to determine cell age and perform lineage tracing in various cell lineages and animal species. It shows concordance with known developmental hierarchies, correlates well with DNAm-based clocks and is complementary with mutation-based lineage tracing, RNA velocity and stemness predictions. Applying EpiTrace to scATAC-seq data reveals biological insights with clinically relevant implications, ranging from hematopoiesis, organ development, tumor biology and immunity to cortical gyrification.

Indexed as

ChromatinDNA MethylationSingle-Cell AnalysisAnimalsCell LineageHumansMiceChromatin

Identifiers

PMID38724668
PMCPMC12084158

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.