National Institute of General Medical Sciences 5R00GM135487-05

Systems biology of quiescence entry

NIH awarded $249,000 to North Carolina State University for a project studying cellular quiescence using machine learning and advanced microscopy to understand stress response pathways and cell cycle regulation.

Description

This project aims to study how cellular quiescence is established through decision-making processes, focusing on the integration of stress signals during the establishment of cellular quiescence to prevent disorders such as fibrosis and cancer. The work will combine machine learning approaches with six-color fluorescent microscopy to reveal mechanisms by which stress responses coordinate quiescence. The project will utilize a microfluidics-fluorescent imaging system to track up to six different pathways during the transition from proliferation to quiescence in the model organism S. cerevisiae. A computational platform based on machine learning and time series analysis will process large imaging data to understand the regulation of stress response pathways and the cell cycle machinery. The project is mentored by Dr. Gaudenz Danuser, a leader in computational biology, and will establish a unique computational and imaging framework, supported by a bioinformatics core facility, to facilitate the transition of the candidate to an independent research position.

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