Predict cell transition dynamics from the landscape constructed from single-cell data

Date

Dec 14, 2017

Time

2:30 PM - 3:30 PM

Speaker

Joseph Xu Zhou

Affiliation

Cancer Systems Biology, Institute for Systems Biology, Seattle

Series

IMB - Seminar

Language

en

Main Topic

Biologie

Other Topics

Biologie

Host

IMB

Description

Although a gene is considered as the unit of structure and function of life, biological functions usually arise from the emerging properties of a complex gene regulatory network, which manifests as a “Waddington landscape”. However, it is difficult to elucidate all relevant gene interactions, build mathematical models, compute the landscape and cell dynamics consequently. With the rapid development of single-cell technology, we can easily measure the transcriptomes of thousands of cells simultaneously, which make it possible to compute the landscape directly from single-cell data. As proof of principle, we studied the landscapes to explain how melanoma cancer cells transition to resistant states from single-cell data using this method. The ultimate goal is to apply this method to find new cancer treatment against the drug resistance.

Last modified: Oct 30, 2017, 11:24:02 AM