Evidence map›Paper›PMID 42380265›Full record

ReviewNature genetics2026

Lineage tracing from cellular heritage to disease destiny.

Huan Zhu, Xiuxiu Liu, Muxue Tang, Kathy O Lui, Bin Zhou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature genetics, 2026. 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

5 authors.

Huan Zhu *CAS CEMCS-CUHK Joint Laboratory, New Cornerstone Science Laboratory, Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-0731-2547
Xiuxiu Liu *CAS CEMCS-CUHK Joint Laboratory, New Cornerstone Science Laboratory, Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-3807-5417
Muxue Tang *CAS CEMCS-CUHK Joint Laboratory, New Cornerstone Science Laboratory, Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Kathy O LuiCAS CEMCS-CUHK Joint Laboratory, Department of Chemical Pathology, Li Ka Shing Institute of Health Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China. kathyolui@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-1616-3643
Bin ZhouCAS CEMCS-CUHK Joint Laboratory, New Cornerstone Science Laboratory, Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China. zhoubin@sibs.ac.cn.ORCID http://orcid.org/0000-0001-5278-5522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The developmental history of a cell fundamentally defines its identity and function. Recent advances in cell lineage tracing now enable high-resolution reconstruction of cellular ancestries in vivo, illuminating how lineage dictates fate in health and disease. This Review highlights recently developed tools, ranging from refined recombinase systems to advanced synthetic and natural barcoding approaches, that facilitate the investigation of pathological lineage programs in cancer, cardiovascular disease and aging. Moving forward, integrating permanent lineage records with single-cell multi-omics promises to provide a unified framework to decode how a cell's past shapes its present state and future potential, heralding a new era for precision medicine.

Indexed as

Cell LineageAgingAnimalsCardiovascular DiseasesHumansNeoplasms

Identifiers

PMID42380265

What OpenQuestion holds

Textmetadata
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.