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

Akihiro Isomura1, Ryoichiro Kageyama2

  • 1Institute for Frontier Life and Medical Sciences, Kyoto University; Japan Science and Technology Agency, PRESTO; aisomura@infront.kyoto-u.ac.jp.

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This study introduces a new optogenetic method to control and monitor gene expression. It reveals how Notch signaling influences cell oscillations, crucial for embryonic development.

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Area of Science:

  • Cellular and Molecular Biology
  • Developmental Biology
  • Systems Biology

Background:

  • Cellular responses to temporal environmental changes are vital for development.
  • The Notch signaling pathway mediates cell-to-cell communication and is critical in embryonic development.
  • Understanding how multicellular interactions affect oscillatory gene dynamics in Notch signaling remains challenging.

Purpose of the Study:

  • To develop a protocol for optogenetic control and live monitoring of gene expression patterns.
  • To investigate the impact of intracellular and intercellular Notch signaling inputs on oscillatory gene dynamics.
  • To provide a platform for analyzing dynamic gene expression in multicellular systems.

Main Methods:

  • Utilized optogenetics for precise temporal control of gene expression.
  • Implemented live monitoring techniques for real-time observation of cellular processes.
  • Applied single-cell resolution analysis to study gene dynamics.

Main Results:

  • Demonstrated successful optogenetic control and live monitoring of gene expression.
  • Revealed that Notch signaling inputs entrain intrinsic oscillations via frequency tuning and phase shifting.
  • Showcased the method's ability to analyze dynamic gene expression at the single-cell level.

Conclusions:

  • The developed protocol enables precise temporal control and monitoring of gene expression.
  • Notch signaling dynamics are modulated by both intracellular and intercellular periodic inputs.
  • This approach offers a valuable tool for studying dynamic gene expression in complex multicellular systems and various signaling pathways.