A minimal physical model for curvotaxis driven by curved protein complexes at the cell’s leading edge

板层 曲率 生物物理学 圆柱 细胞迁移 肌动蛋白 膜曲率 小泡 材料科学 细胞 化学 几何学 细胞生物学 生物 生物化学 数学
作者
Raj Kumar Sadhu,Marine Luciano,Xi Wang,Cristina Martinez-Torres,Marcel Schröder,Christoph Blum,Marco Tarantola,Samo Penič,Aleš Iglič,Carsten Beta,Oliver Steinbock,Eberhard Bodenschatz,Benoît Ladoux,Sylvain Gabriele,Nir S. Gov
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:121 (12) 被引量:2
标识
DOI:10.1073/pnas.2306818121
摘要

Cells often migrate on curved surfaces inside the body, such as curved tissues, blood vessels, or highly curved protrusions of other cells. Recent in vitro experiments provide clear evidence that motile cells are affected by the curvature of the substrate on which they migrate, preferring certain curvatures to others, termed "curvotaxis." The origin and underlying mechanism that gives rise to this curvature sensitivity are not well understood. Here, we employ a "minimal cell" model which is composed of a vesicle that contains curved membrane protein complexes, that exert protrusive forces on the membrane (representing the pressure due to actin polymerization). This minimal-cell model gives rise to spontaneous emergence of a motile phenotype, driven by a lamellipodia-like leading edge. By systematically screening the behavior of this model on different types of curved substrates (sinusoidal, cylinder, and tube), we show that minimal ingredients and energy terms capture the experimental data. The model recovers the observed migration on the sinusoidal substrate, where cells move along the grooves (minima), while avoiding motion along the ridges. In addition, the model predicts the tendency of cells to migrate circumferentially on convex substrates and axially on concave ones. Both of these predictions are verified experimentally, on several cell types. Altogether, our results identify the minimization of membrane-substrate adhesion energy and binding energy between the membrane protein complexes as key players of curvotaxis in cell migration.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
压线大王完成签到 ,获得积分10
刚刚
happyjqm关注了科研通微信公众号
刚刚
1秒前
华仔应助hcx123456采纳,获得10
1秒前
悠然地八音完成签到,获得积分10
1秒前
灵波发布了新的文献求助10
1秒前
zero1发布了新的文献求助10
1秒前
2秒前
2秒前
2秒前
烟花应助李越采纳,获得10
3秒前
cyuan发布了新的文献求助10
4秒前
六六发布了新的文献求助10
4秒前
111完成签到,获得积分10
4秒前
TBHP完成签到,获得积分10
4秒前
赘婿应助hu采纳,获得10
5秒前
银泽宇发布了新的文献求助10
5秒前
wenfeng完成签到 ,获得积分20
5秒前
Orange应助upup采纳,获得10
5秒前
yyydmhsj发布了新的文献求助10
5秒前
半盏完成签到,获得积分10
5秒前
5秒前
6秒前
GLOVE发布了新的文献求助10
6秒前
6秒前
Mcccccc完成签到 ,获得积分10
7秒前
7秒前
deng完成签到 ,获得积分10
7秒前
大个应助忐忑的源智采纳,获得10
7秒前
8秒前
8秒前
8秒前
8秒前
隐形曼青应助勤恳的代芙采纳,获得10
8秒前
科研小白完成签到,获得积分10
9秒前
XX发布了新的文献求助10
9秒前
penhuodragon完成签到,获得积分10
10秒前
TB发布了新的文献求助10
10秒前
小二郎应助cyuan采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7768857
求助须知:如何正确求助?哪些是违规求助? 9312004
关于积分的说明 20326821
捐赠科研通 7353986
什么是DOI,文献DOI怎么找? 3315845
关于科研通互助平台的介绍 2464872
邀请新用户注册赠送积分活动 2330417