Evidence map›Paper›PMID 39820752›Full record

ArticleNature methods2025

High-resolution, noninvasive single-cell lineage tracing in mice and humans based on DNA methylation epimutations.

Mengyang Chen, Ruijiang Fu, Yiqian Chen, Li Li, Shou-Wen Wang

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Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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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

29 citing papers in PubMed.

  1. Review
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  3. A new era of lineage tracing.Cell research · 2026
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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

5 authors.

Mengyang Chen *Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
Ruijiang Fu *Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
Yiqian ChenWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
Li LiWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China. lili@westlake.edu.cn.ORCID http://orcid.org/0000-0002-0101-1890
Shou-Wen WangWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China. wangshouwen@westlake.edu.cn.ORCID http://orcid.org/0000-0003-4569-1194

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 32470700
6 · The paper itself

Abstract

In vivo lineage tracing holds great potential to reveal fundamental principles of tissue development and homeostasis. However, current lineage tracing in humans relies on extremely rare somatic mutations, which has limited temporal resolution and lineage accuracy. Here, we developed a generic lineage-tracing tool based on frequent epimutations on DNA methylation, enabled by our computational method MethylTree. Using single-cell genome-wide DNA methylation datasets with known lineage and phenotypic labels, MethylTree reconstructed lineage histories at nearly 100% accuracy across different cell types, developmental stages, and species. We demonstrated the epimutation-based single-cell multi-omic lineage tracing in mouse and human blood, where MethylTree recapitulated the differentiation hierarchy in hematopoiesis. Applying MethylTree to human embryos, we revealed early fate commitment at the four-cell stage. In native mouse blood, we identified ~250 clones of hematopoietic stem cells. MethylTree opens the door for high-resolution, noninvasive and multi-omic lineage tracing in humans and beyond.

Indexed as

Cell LineageDNA MethylationEpigenesis, GeneticMutationSingle-Cell AnalysisAnimalsCell DifferentiationHematopoiesisHematopoietic Stem CellsHumansMice

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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.