Reverse mathematical methods for reconstructing molecular dynamics in single cell

Proteome-scale cell cycle dependent dynamics from asynchronous fluorescent microscopy images

speaker: Devin Sullivan (KTH Royal Institute of Technology)

abstract: One of the most crucial and complex systems within the cell is the process of growth and division known as the cell cycle. Due to its central role in cellular function, disorders in this highly regulated system are often the cause of diseases including cancers, neurodegenerative disease and aging. Understanding the proteins involved in this process can aid in treating these diseases. In this work we have developed a novel model of determining continuous cell cycle position of fluorescent microscopy images of asynchronous cells. We utilize this model to construct continuous pseudo-time models of dynamic responses in protein expression over the cell cycle to understand and predict potential protein-protein interactions.

timetable:
Mon 15 Oct, 14:30 - 15:15, Aula Dini
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