Evidence map›Paper›PMID 40134031›Full record

ArticleGenome biology2025

Clonal expansion dictates the efficacy of mitochondrial lineage tracing in single cells.

Xin Wang, Kun Wang, Weixing Zhang, Zhongjie Tang, Hao Zhang, Yuying Cheng, Da Zhou, Chao Zhang, Wen-Zhao Zhong, Qing Ma and 2 more

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

12 authors.

Xin Wang *State Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Kun Wang *School of Mathematical Sciences, Xiamen University, Xiamen, China.
Weixing Zhang *State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Zhongjie TangState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Hao ZhangState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yuying ChengState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Da ZhouSchool of Mathematical Sciences, Xiamen University, Xiamen, China.
Chao ZhangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Wen-Zhao ZhongGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qing MaState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. qing.ma@siat.ac.cn.
Jin XuState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China. xujin7@mail.sysu.edu.cn.
Zheng HuState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. zheng.hu@siat.ac.cn.

Funding

China Postdoctoral Science Foundation 2022M723301Guangdong Basic and Applied Basic Research Foundation 2021B1515020042National Natural Sciences Foundation of China 32070644National Natural Sciences Foundation of China 32070870National Natural Sciences Foundation of China 32300493National Natural Sciences Foundation of China 82241236
6 · The paper itself

Abstract

backgroundMitochondrial DNA (mtDNA) variants hold promise as endogenous barcodes for tracking human cell lineages, but their efficacy as reliable lineage markers are hindered by the complex dynamics of mtDNA in somatic tissues.

resultsHere, we use computational modeling and single-cell genomics to thoroughly interrogate the origin and clonal dynamics of mtDNA variants across various biological settings. Our findings reveal that the majority of mtDNA variants which are specifically present in a cell subpopulation, termed subpopulation-specific variants, are pre-existing heteroplasmies in the first cell instead of de novo somatic mutations during divisions. Moreover, subpopulation-specific variants demonstrate limited discriminatory power among different genuine lineages under weak clonal expansion; however, certain subpopulation-specific variants with consistently high frequencies among a subpopulation are capable of faithfully labeling cell lineages in scenarios of stringent clonal expansion, such as strongly expanded T cell populations in diseased conditions and clonal hematopoiesis in aged individuals. Inspired by our simulations, we introduce a lineage informative score, facilitating the identification of reliable mitochondrial lineage tracing markers across different modalities of single-cell genomic data.

conclusionsCombining computational modeling and single-cell sequencing, our study reveals that the performance of mitochondrial lineage tracing is highly dependent on the extent of clonal expansion, which thus should be considered when applying mitochondrial lineage tracing.

Indexed as

Cell LineageDNA, MitochondrialMitochondriaSingle-Cell AnalysisHumansMutationDNA, MitochondrialClonal dynamicsLineage tracingmtDNA variantsSingle-cell genomics

Identifiers

PMID40134031
PMCPMC11938731

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