Evidence map›Paper›PMID 39093947›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Reconstruction of single-cell lineage trajectories and identification of diversity in fates during the epithelial-to-mesenchymal transition.

Yu-Chen Cheng, Yun Zhang, Shubham Tripathi, B V Harshavardhan, Mohit Kumar Jolly, Geoffrey Schiebinger, Herbert Levine, Thomas O McDonald, Franziska Michor

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  12. HEYL-mediated activation of LAMA3 influences radiotherapy response in esophageal cancer.Esophagus : official journal of the Japan Esophageal Society · 2025
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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

9 authors.

Yu-Chen ChengDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215.
Yun ZhangState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Shubham TripathiYale Center for Systems and Engineering Immunology and Department of Immunobiology, Yale School of Medicine, New Haven, CT 06510.
B V HarshavardhanInterdisciplinary Mathematics Initiative, Indian Institute of Science, Bangalore 560012, India.
Mohit Kumar JollyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0002-6631-2109
Geoffrey SchiebingerDepartment of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada.
Herbert LevineCenter for Theoretical Biological Physics, Northeastern University, Boston, MA 02115.ORCID 0000-0002-8819-9055
Thomas O McDonaldDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215.
Franziska MichorDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215.

Funding

National Science Foundation (NSF) PHY-2019745
6 · The paper itself

Abstract

Exploring the complexity of the epithelial-to-mesenchymal transition (EMT) unveils a diversity of potential cell fates; however, the exact timing and mechanisms by which early cell states diverge into distinct EMT trajectories remain unclear. Studying these EMT trajectories through single-cell RNA sequencing is challenging due to the necessity of sacrificing cells for each measurement. In this study, we employed optimal-transport analysis to reconstruct the past trajectories of different cell fates during TGF-beta-induced EMT in the MCF10A cell line. Our analysis revealed three distinct trajectories leading to low EMT, partial EMT, and high EMT states. Cells along the partial EMT trajectory showed substantial variations in the EMT signature and exhibited pronounced stemness. Throughout this EMT trajectory, we observed a consistent downregulation of the

Indexed as

Epithelial-Mesenchymal TransitionSingle-Cell AnalysisCell LineageEnhancer of Zeste Homolog 2 ProteinHumansTransforming Growth Factor betaEnhancer of Zeste Homolog 2 ProteinTransforming Growth Factor betacell fateEMTscRNA-seq

Identifiers

PMID39093947
PMCPMC11317558

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.