Presentation Information
[2ASPR-09]Introduction: Data-driven multiscale engineering of cell fate decisions
○Mariko Okada1 (1. Institute for Protein Research, The University of Osaka (Japan))
Keywords:
cell biology,computational biology,synthetic biology,data-driven mathematical modeling
We have established a Japan–UK research consortium, BioEngAGE, to study how cell fate is regulated and how it can be controlled. This consortium brings together researchers in cell biology, computational biology, and synthetic biology. By redesigning signaling and gene regulatory systems and by using data-driven mathematical modeling, we aim to build an integrative understanding of cell fate regulation.
Cells receive information from their environment and determine their fate through signal transduction pathways. Dysregulation of these pathways is closely related to human diseases such as cancer. However, many previous studies have focused on individual pathways separately. This reductionist approach is not sufficient to understand the complex regulation involving multiple signaling pathways as well as transcriptional and translational processes. As a result, it is still difficult to fully understand cell fate networks and to develop effective treatments for human diseases.
Through our integrative and collaborative approach, we aim to clarify the structure and function of cell fate networks and to contribute to the development of new therapeutic strategies. This session will present related research from Japan and the UK and will introduce synthetic biology approaches for cellular control by invited speakers.
Cells receive information from their environment and determine their fate through signal transduction pathways. Dysregulation of these pathways is closely related to human diseases such as cancer. However, many previous studies have focused on individual pathways separately. This reductionist approach is not sufficient to understand the complex regulation involving multiple signaling pathways as well as transcriptional and translational processes. As a result, it is still difficult to fully understand cell fate networks and to develop effective treatments for human diseases.
Through our integrative and collaborative approach, we aim to clarify the structure and function of cell fate networks and to contribute to the development of new therapeutic strategies. This session will present related research from Japan and the UK and will introduce synthetic biology approaches for cellular control by invited speakers.
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