Evidence map›Paper›PMID 38453929›Full record

ArticleNPJ systems biology and applications2024

Morphological entropy encodes cellular migration strategies on multiple length scales.

Yanping Liu, Yang Jiao, Qihui Fan, Xinwei Li, Zhichao Liu, Dui Qin, Jun Hu, Liyu Liu, Jianwei Shuai, Zhangyong Li

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Yanping LiuDepartment of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China. liuyp@cqupt.edu.cn.ORCID http://orcid.org/0000-0002-0768-1190
Yang JiaoMaterials Science and Engineering, Arizona State University, Tempe, AZ, USA.
Qihui FanBeijing National Laboratory for Condensed Matter Physics and CAS Key Laboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, China.
Xinwei LiDepartment of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Zhichao LiuDepartment of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Dui QinDepartment of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Jun HuDepartment of Neurology, Southwest Hospital, Army Medical University, Chongqing, China.
Liyu LiuChongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing, China.
Jianwei ShuaiDepartment of Physics, Xiamen University, Xiamen, China. jianweishuai@xmu.edu.cn.ORCID http://orcid.org/0000-0002-8712-0544
Zhangyong LiDepartment of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China. lizy@cqupt.edu.cn.ORCID http://orcid.org/0000-0002-3918-069X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12090052National Natural Science Foundation of China (National Science Foundation of China) 12347178National Natural Science Foundation of China (National Science Foundation of China) 62106032National Natural Science Foundation of China (National Science Foundation of China) 62171073Natural Science Foundation of Chongqing (Natural Science Foundation of Chongqing Municipality) CSTB2022NSCQ-MSX1260Natural Science Foundation of Chongqing (Natural Science Foundation of Chongqing Municipality) CSTB2023NSCQ-MSX0861
6 · The paper itself

Abstract

Cell migration is crucial for numerous physiological and pathological processes. A cell adapts its morphology, including the overall and nuclear morphology, in response to various cues in complex microenvironments, such as topotaxis and chemotaxis during migration. Thus, the dynamics of cellular morphology can encode migration strategies, from which diverse migration mechanisms can be inferred. However, deciphering the mechanisms behind cell migration encoded in morphology dynamics remains a challenging problem. Here, we present a powerful universal metric, the Cell Morphological Entropy (CME), developed by combining parametric morphological analysis with Shannon entropy. The utility of CME, which accurately quantifies the complex cellular morphology at multiple length scales through the deviation from a perfectly circular shape, is illustrated using a variety of normal and tumor cell lines in different in vitro microenvironments. Our results show how geometric constraints affect the MDA-MB-231 cell nucleus, the emerging interactions of MCF-10A cells migrating on collagen gel, and the critical transition from proliferation to invasion in tumor spheroids. The analysis demonstrates that the CME-based approach provides an effective and physically interpretable tool to measure morphology in real-time across multiple length scales. It provides deeper insight into cell migration and contributes to the understanding of different behavioral modes and collective cell motility in more complex microenvironments.

Indexed as

EntropyCell Line, TumorCell Movement

Identifiers

PMID38453929
PMCPMC10920856

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Registered trials

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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.