Evidence map›Paper›PMID 40307991›Full record

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

Stereotyped Subclones Revealed by High-Density Single-Cell Lineage Tracing Support Robust Development.

Xiaoyu Zhang, Zizhang Li, Jingyu Chen, Wenjing Yang, Xingxing He, Peng Wu, Feng Chen, Ziwei Zhou, Chenze Ren, Yuyan Shan and 5 more

Abstract read
In one paragraph

Article 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 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

15 authors.

Xiaoyu ZhangAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.ORCID https://orcid.org/0000-0002-5153-5377
Zizhang LiDepartment of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Jingyu ChenDepartment of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Wenjing YangAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Xingxing HeAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Peng WuAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Feng ChenAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Ziwei ZhouAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Chenze RenAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Yuyan ShanAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Xiewen WenUniversity Research Facility in 3D Printing, & State Key Laboratory of Ultra-precision Machining Technology, Dept. of ISE, the Hong Kong Polytechnic University, Hong Kong, 999077, China.
Vassily A LyubetskyKharkevich Institute for Information Transmission Problems Russian Academy Sciences, Moscow, 127051, Russia.
Leonid Yu RusinKharkevich Institute for Information Transmission Problems Russian Academy Sciences, Moscow, 127051, Russia.
Xiaoshu ChenAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Jian-Rong YangAdvanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.ORCID https://orcid.org/0000-0002-7807-9455

Funding

Fundamental Research Funds for the Central Universities, Sun Yat-sen University 23ptpy70National Key R&D Program of China 2021YFA1302500National Key R&D Program of China 2021YFF1200904National Natural Science Foundation of China 32122022National Natural Science Foundation of China 32361133555Research Grants Council of the Hong Kong Special Administrative Region, China 21206223Russian Science Foundation 24-44-00099
6 · The paper itself

Abstract

Robust development is essential for multicellular organisms. While various mechanisms contributing to developmental robustness are identified at the subcellular level, those at the intercellular and tissue level remain underexplored. This question is approached using a well-established in vitro directed differentiation model recapitulating the in vivo development of lung progenitor cells from human embryonic stem cells. An integrated analysis of high-density cell lineage trees (CLTs) and single-cell transcriptomes of differentiating colonies enabled the resolution of known cell types and developmental hierarchies. This dataset showed little support for the contribution of transcriptional memory to developmental robustness. Nevertheless, stable terminal cell type compositions are observed among many subclones, which enhances developmental robustness because the colony can retain a relatively stable composition even if some subclones are abolished by cell death. Furthermore, it is found that many subclones are formed by sub-CLTs resembling each other in terms of both terminal cell type compositions and topological structures. The presence of stereotyped sub-CLTs constitutes a novel basis for developmental robustness. Moreover, these results suggest a unique perspective on individual cells' function in the context of stereotyped sub-CLTs, which can bridge the knowledge of the atlas of cell types and how they are organized into functional tissues.

Indexed as

Cell DifferentiationCell LineageHuman Embryonic Stem CellsSingle-Cell AnalysisHumansTranscriptomecell lineage treedevelopmental robustnesshuman embryonic stem celllung primordial progenitor

Identifiers

PMID40307991
PMCPMC12376543

What OpenQuestion holds

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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.