{"title":"单细胞迁移的现代建模:从膜张力和流原性到机器学习。","authors":"Wenzheng Shi, Alex Mogilner","doi":"10.1101/cshperspect.a041745","DOIUrl":null,"url":null,"abstract":"<p><p>Cell migration phenomenon has inspired and benefited from computational modeling for decades. Here, we review recent applications of traditional bottom-up modeling to three aspects of cell migration: the role of membrane tension (MT) in organizing directional cell motility, the role of the electric field (EF) as the directional cue for migration, and the mechanics of three-dimensional migration. We then discuss nascent applications of machine learning (ML) to cell migration and galvanotaxis. We focus on the migratory mechanisms of the single cell and highlight the feedback between theory and experiment.</p>","PeriodicalId":10494,"journal":{"name":"Cold Spring Harbor perspectives in biology","volume":" ","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modern Modeling of Single-Cell Migration: From Membrane Tension and Galvanotaxis to Machine Learning.\",\"authors\":\"Wenzheng Shi, Alex Mogilner\",\"doi\":\"10.1101/cshperspect.a041745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cell migration phenomenon has inspired and benefited from computational modeling for decades. Here, we review recent applications of traditional bottom-up modeling to three aspects of cell migration: the role of membrane tension (MT) in organizing directional cell motility, the role of the electric field (EF) as the directional cue for migration, and the mechanics of three-dimensional migration. We then discuss nascent applications of machine learning (ML) to cell migration and galvanotaxis. We focus on the migratory mechanisms of the single cell and highlight the feedback between theory and experiment.</p>\",\"PeriodicalId\":10494,\"journal\":{\"name\":\"Cold Spring Harbor perspectives in biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cold Spring Harbor perspectives in biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1101/cshperspect.a041745\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cold Spring Harbor perspectives in biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1101/cshperspect.a041745","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Modern Modeling of Single-Cell Migration: From Membrane Tension and Galvanotaxis to Machine Learning.
Cell migration phenomenon has inspired and benefited from computational modeling for decades. Here, we review recent applications of traditional bottom-up modeling to three aspects of cell migration: the role of membrane tension (MT) in organizing directional cell motility, the role of the electric field (EF) as the directional cue for migration, and the mechanics of three-dimensional migration. We then discuss nascent applications of machine learning (ML) to cell migration and galvanotaxis. We focus on the migratory mechanisms of the single cell and highlight the feedback between theory and experiment.
期刊介绍:
Cold Spring Harbor Perspectives in Biology offers a comprehensive platform in the molecular life sciences, featuring reviews that span molecular, cell, and developmental biology, genetics, neuroscience, immunology, cancer biology, and molecular pathology. This online publication provides in-depth insights into various topics, making it a valuable resource for those engaged in diverse aspects of biological research.