Session C2 - Computational Mathematical Biology with emphasis on the Genome
July 17, 14:30 ~ 15:20 - Room B2
Biological Clocks in Cell Division and Infectious Disease
Duke University, Geometric Data Analytics and Mimetics Biosciences, United States - email@example.com
Gene regulatory networks (GRNs) can drive cyclic and temporally ordered processes in biological systems. One of the best-known GRNs of this type is the circadian clock, which drives rhythmic behaviors with a period of approximately 24hrs. The circadian clock network exerts its control, in part, by regulating a dynamic program of gene expression where substantial fractions of the genome are expressed during distinct phases of the circadian cycle. We have proposed that a different GRN controls the cyclic program of gene expression that is observed during the cell division cycle. In fact, we have observed similar gene expression programs across time scales from hours to days, and across organisms that are evolutionarily diverged by millions of years. These observations suggest that a class of GRNs may serve as central mechanisms that drive temporal gene expression programs in biological systems.
In this talk we will discuss a pipeline of mathematical methods designed to infer GRNs that control various cyclic and temporally ordered processes, including the Yeast Cell Cycle and Parasite Clock Networks.
Joint work with Steve Haase, Duke University and Mimetics Biosciences, USA, Anastasia Deckard, Geometric Data Analytics, USA, Francis Motta, Duke University, Tina Kelliher, Duke University, Kevin McGoff, UNC Charlotte, USA and Zin Guo, The Hong Kong Polytechnic University.