Evidence map›Paper›PMID 41024350›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Cell Fate Determination and Lineage Tracing: Technological Evolution and Multidimensional Applications.

Hui Chen, Zhicong Liu, Qiang Shu, Bin Zhou

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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

4 authors.

Hui ChenCAS 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, 200031, China.
Zhicong LiuDepartment of Pediatric Cardiaovascular Surgery, Children's Hospital, School of Medicine, Zhejiang University, National Clinical Research Center for Child Health, Hangzhou, 310052, China.
Qiang ShuDepartment of Pediatric Cardiaovascular Surgery, Children's Hospital, School of Medicine, Zhejiang University, National Clinical Research Center for Child Health, Hangzhou, 310052, China.
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, 200031, China.ORCID https://orcid.org/0000-0001-5278-5522

Funding

CAS Strategic Priority Research Program of CAS XDB0990101National Key Research & Development Program of China 2023YFA1800700National Key Research & Development Program of China 2024YFA1803302National Science Foundation of China 82088101
6 · The paper itself

Abstract

Cell fate determination is a fundamental process in multicellular development. In multicellular organisms, cells display plasticity in their fate, allowing them to revert to prior states or adopt alternative differentiation pathways, thereby altering their identity and functional specialization in response to specific stimuli. Investigating cell fate determination and its plasticity enhances our understanding of organ development, tissue homeostasis, and disease pathogenesis and progression, providing novel insights into regenerative medicine strategies. Lineage tracing technologies have fundamentally revolutionized this understanding of cell fate dynamics by enabling the identification and tracking of cells and their progeny in vivo. These technologies have progressed significantly, from the direct observation and manual annotation of cell lineage trees to complex recombinase-mediated genetic labeling techniques. With the advent of sequencing technologies, the resolution and scale of lineage tracing have also developed toward the single-cell level in individual organisms. Furthermore, lineage tracing is increasingly expanding to investigate how the tissue microenvironment influences cell fate decisions. Here, the evolution of lineage tracing technologies is introduced and their applications in cell fate determinations across development, regeneration, and diseases contexts.

Indexed as

Cell DifferentiationCell LineageCell TrackingAnimalsHumansRegenerative Medicinecell fatelineage tracingneighboring cell labelingorthogonal recombinases systemssingle‐cell lineage tracing

Identifiers

PMID41024350
PMCPMC12591152

What Socratic 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 Socratic graph.