Guilt by Association: Coexpression Analysis of the CHO Transcriptome
Conference Recording Apr 01, 2013
About the SpeakerColin Clarke graduated with a PhD in Bioinformatics from Cranfield University, UK, and specialises in the application of multivariate statistics and machine learning algorithms to high dimensional data. He is currently employed on a Science Foundation Ireland funded project in collaboration with Pfizer focusing on understanding the biological mechanisms of Chinese hamster ovary (CHO) cells in industrial culture. Dr. Clarke has been particularly active in the application of state of the art statistical methods to study transcriptional patterns from the existing NICB-Pfizer CHO microarray dataset (recognised as the largest in the world). Recent work described a systems level method called coexpression analysis to extract gene regulatory networks from this dataset followed by integration of these networks with bioprocess phenotypes. Coexpression patterns from this dataset have led to the construction of an online database to allow user-friendly access to these results (www.cgcdb.org). Other significant work in the area includes the development and validation of the first predictive model for determining recombinant protein production rates in CHO from gene expression.
This talk will focus on the methodology and findings from one of the largest and most diverse analyses of the CHO transcriptome to date. A new online tool to make CHO gene coexpression data publicly available in a user-friendly manner will also be discussed.