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Positive, negative and controlled durotaxis
- Source :
- Soft Matter. 19:2993-3001
- Publication Year :
- 2023
- Publisher :
- Royal Society of Chemistry (RSC), 2023.
-
Abstract
- This is an Accepted Manuscript of an article published by Taylor & Francis Group in Soft matter on 29/03/2023, available online at: http://www.tandfonline.com/10.1039/d2sm01326f Cell migration is a physical process central to life. Among others, it regulates embryogenesis, tissue regeneration, and tumor growth. Therefore, understanding and controlling cell migration represent fundamental challenges in science. Specifically, the ability of cells to follow stiffness gradients, known as durotaxis, is ubiquitous across most cell types. Even so, certain cells follow positive stiffness gradients while others move along negative gradients. How the physical mechanisms involved in cell migration work to enable a wide range of durotactic responses is still poorly understood. Here, we provide a mechanistic rationale for durotaxis by integrating stochastic clutch models for cell adhesion with an active gel theory of cell migration. We show that positive and negative durotaxis found across cell types are explained by asymmetries in the cell adhesion dynamics. We rationalize durotaxis by asymmetric mechanotransduction in the cell adhesion behavior that further polarizes the intracellular retrograde flow and the protruding velocity at the cell membrane. Our theoretical framework confirms previous experimental observations and explains positive and negative durotaxis. Moreover, we show how durotaxis can be engineered to manipulate cell migration, which has important implications in biology, medicine, and bioengineering. P.S acknowledges support from the Spanish Ministry of Economy and Competitiveness (Grant No: PID2019-110949GB-I00) and the Generalitat de Catalunya (Grant No: 2017-SGR-1278). C.V. was supported by the Generalitat de Catalunya (FI grant). P.S and C.V. acknowledge support from the European Commission (Grant No. H2020-FETPROACT-01-2016-731957). We also thank W. Mirza, J.J. Muñoz, and M. Arroyo for discussion.
- Subjects :
- Anàlisi numèrica
Biologia
Informàtica
Matemàtiques i estadística::Matemàtica aplicada a les ciències [Àrees temàtiques de la UPC]
68 Computer science::68U Computing methodologies and applications [Classificació AMS]
65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations [Classificació AMS]
General Chemistry
Numerical analysis--Simulation methods
Condensed Matter Physics
Biology
Computing Methodologies
92 Biology and other natural sciences::92C Physiological, cellular and medical topics [Classificació AMS]
Matemàtiques i estadística::Anàlisi numèrica [Àrees temàtiques de la UPC]
Subjects
Details
- ISSN :
- 17446848 and 1744683X
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Soft Matter
- Accession number :
- edsair.doi.dedup.....62be55ba4dd88d8c9bf6932e3d87a9a8