An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

作者： Akihiro Isomura1,2, Ryoichiro Kageyama1,3,4,5 1Institute for Frontier Life and Medical Sciences,Kyoto University, 2Japan Science and Technology Agency,PRESTO, 3Institute for Integrated Cell-Material Sciences,Kyoto University, 4Graduate School of Medicine,Kyoto University, 5Graduate School of Biostudies,Kyoto University

简介：

Overview

This article presents a protocol for analyzing cell-to-cell transfer of oscillatory information using optogenetic control and live monitoring of gene expression. The method allows for precise control and observation of gene expression dynamics, providing insights into cellular communication.

Key Study Components

Area of Science

• Neuroscience
• Cell Biology
• Optogenetics

Background

• Understanding cell communication is crucial for deciphering multicellular systems.
• The Notch signaling pathway plays a significant role in cellular interactions.
• Oscillatory information transfer is a key aspect of cellular dynamics.
• Optogenetic tools enable precise manipulation of gene expression.

Purpose of Study

• To observe how cells communicate through oscillatory signals.
• To investigate the dynamics of gene expression in a multicellular context.
• To develop a platform for testing the functional significance of gene expression programs.

Methods Used

• Transfection of plasmid vectors into C2C12 cells.
• Use of Tol2-based optogenetic modules.
• Live monitoring of gene expression dynamics.
• Cell counting and plating techniques for transfection.

Main Results

• Successful transfection of optogenetic modules into target cells.
• Demonstration of oscillatory information transfer between cells.
• High precision in controlling gene expression dynamics.
• Insights into the role of Notch signaling in cellular communication.

Conclusions

• This protocol provides a valuable tool for studying cell communication.
• Optogenetic control enhances our understanding of gene expression dynamics.
• The findings may have implications for understanding multicellular systems.

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