Webinar: A Network View on Parkinson's Disease with Professor Danail Bonchev
In this webinar, Professor Danail Bonchev of the Center for the Study of Biological Complexity at Virginia Commonwealth University will give us an in-depth look at how a systems biology approach was used to identify some of the critical aspects Parkinson's disease: molecular players, drug targets, and underlying biological processes. Together with his team, he used Pathway Studio to construct and analyze biomolecular networks based on gene expression data, direct interaction information, the shortest path of connections, and microRNA regulatory interactions. By applying a network topology analysis of node connectivity and centrality, coupled with the "guilt-by-association" rule, they identified 17 novel genes of potential interest in Parkinson's disease and 7 new microRNAs (miR-132, miR-133a1, miR-181-1, miR-182, miR-218-1, miR-29a, and miR-330) related to this debilitating neurological condition. Pathway Studio was used to do enrichment analysis on KEGG and canonical pathways, supplemented with information from other resources such as DAVID and the Ingenuity Pathway Analysis software. Thus, they discovered several routes for possible disease initiation and neurological protection mechanisms triggered via the extra-cellular ligands such as CX3CL1, SEMA6D and IL12B, and detected a dual regulatory system of integrated transcription factors and microRNAs mechanisms.
About the speaker
Danail Bonchev, PhD, DSc, is a Professor of Mathematics and the Director of Research in Networks and Pathways at the Center for the Study of Biological Complexity, Virginia Commonwealth University. For the past 12 years, his research has focused on network theory and its biomedical applications. He has taught graduate courses in network biology since 2006, and has authored more than 250 publications.
Register here: Thursday, January 15, 2015 10:00 AM - 11:00 AM EST