Event Title

Patterns of Activation and Repression for a Single Transcription Factor with Multiple Binding Sites

Location

Old Dominion University, Learning Commons at Perry Library, West Foyer

Start Date

8-4-2017 8:30 AM

End Date

8-4-2017 10:00 AM

Description

The molecular complexity of eukaryotic gene regulation has made it difficult to study gene products, which are processed from DNA sequences. We built mathematical models of gene expression based on the established linear framework. In this project, we study how complicated the gene expression profile can be when a single type of transcription factor binds to multiple sites. The lambda phage repressor is a classical example of an actual gene that has both “activation” and “repression.” We investigate the parameters of the gene regulation functions (GRFs), such as higher-order affinity binding and cooperativity of TFs and polymerase. We gained insights to the GRFs’ behavior though (1) random exploration, (2) clustering parameters based on the characteristics of the GRFs, and (3) modular exploration.

Presentation Type

Poster

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Apr 8th, 8:30 AM Apr 8th, 10:00 AM

Patterns of Activation and Repression for a Single Transcription Factor with Multiple Binding Sites

Old Dominion University, Learning Commons at Perry Library, West Foyer

The molecular complexity of eukaryotic gene regulation has made it difficult to study gene products, which are processed from DNA sequences. We built mathematical models of gene expression based on the established linear framework. In this project, we study how complicated the gene expression profile can be when a single type of transcription factor binds to multiple sites. The lambda phage repressor is a classical example of an actual gene that has both “activation” and “repression.” We investigate the parameters of the gene regulation functions (GRFs), such as higher-order affinity binding and cooperativity of TFs and polymerase. We gained insights to the GRFs’ behavior though (1) random exploration, (2) clustering parameters based on the characteristics of the GRFs, and (3) modular exploration.