Get in Shape: Cell Shape Is an Independent Repository of Retrievable Information

QUEST Center event
No
Speaker
Amit Ron, Columbia University
Date
25/11/2018 - 12:00Add to Calendar 2018-11-25 12:00:00 2018-11-25 12:00:00 Get in Shape: Cell Shape Is an Independent Repository of Retrievable Information Cells sense and interact with their environment using chemical and physical signals including cell-matrix and cell-cell contacts. These signals often control the global and local shapes of cells by modulating the cytoskeletal structure, but can the local shape alone provide functionally relevant information? We hypothesize that physiologically relevant shapes can encode information needed to maintain the cell in a differentiated state. This conjecture raises two follow-on questions: (i) how is the information stored in cell shape retrieved; and (ii) how does this information contribute to cellular phenotype? Theoretical analyses, based on reaction-diffusion system and optimal control theory, indicate that information from cell shape can be resolved from physical signals and uniquely retrieved by adopting shapes with distinct surface-to-volume relationships. We used microfabricated 3-D biomimetic chips to validate the predictions from the theoretical analyses. We constructed single-cell patterns representing simplified versions of the in vivo morphology of two cell types, kidney podocytes, and smooth muscle cells. In both types, cells in the shapes showed marked phenotypic changes, as measured by expression levels of physiologically important proteins and localization of these proteins to the appropriate subcellular compartment. Using differential proteomics and functional ablation assays, we found that β3 integrin and its binding partners from the ezrin-radixin-moesin (ERM) family are involved in the transduction of shape signals. These observations indicate that physiological cell shape, including local specialization, embodies information obtained during the development, which is utilized to maintain the cell in the differentiated state. About the speaker: Amit Ron received the M.Sc. (2008) and Ph.D. (2012) degrees in Biomedical and Electrical Engineering respectively from Tel Aviv University. Currently he is a postdoctoral fellow in the Department of Mechanical Engineering and the Center for Mechanical Biology at Columbia University. His main areas of interest include cellular mechanobiology and biophysics and bioengineering of the cellular microenvironment. Physics Auditorium, Room (302) Physics Building (202) Department of Physics physics.dept@mail.biu.ac.il Asia/Jerusalem public
Place
Physics Auditorium, Room (302) Physics Building (202)
Abstract

Cells sense and interact with their environment using chemical and physical signals including cell-matrix and cell-cell contacts. These signals often control the global and local shapes of cells by modulating the cytoskeletal structure, but can the local shape alone provide functionally relevant information? We hypothesize that physiologically relevant shapes can encode information needed to maintain the cell in a differentiated state. This conjecture raises two follow-on questions: (i) how is the information stored in cell shape retrieved; and (ii) how does this information contribute to cellular phenotype? Theoretical analyses, based on reaction-diffusion system and optimal control theory, indicate that information from cell shape can be resolved from physical signals and uniquely retrieved by adopting shapes with distinct surface-to-volume relationships. We used microfabricated 3-D biomimetic chips to validate the predictions from the theoretical analyses. We constructed single-cell patterns representing simplified versions of the in vivo morphology of two cell types, kidney podocytes, and smooth muscle cells. In both types, cells in the shapes showed marked phenotypic changes, as measured by expression levels of physiologically important proteins and localization of these proteins to the appropriate subcellular compartment. Using differential proteomics and functional ablation assays, we found that β3 integrin and its binding partners from the ezrin-radixin-moesin (ERM) family are involved in the transduction of shape signals. These observations indicate that physiological cell shape, including local specialization, embodies information obtained during the development, which is utilized to maintain the cell in the differentiated state.

About the speaker: Amit Ron received the M.Sc. (2008) and Ph.D. (2012) degrees in Biomedical and Electrical Engineering respectively from Tel Aviv University. Currently he is a postdoctoral fellow in the Department of Mechanical Engineering and the Center for Mechanical Biology at Columbia University. His main areas of interest include cellular mechanobiology and biophysics and bioengineering of the cellular microenvironment.

Last Updated Date : 05/12/2022