Talk Title: Immunoproteomic approaches to host-pathogen interactions
David R. Goodlett, PhD, is a Professor in the Department of Pharmaceutical Sciences in the School of Pharmacy at the University of Maryland – Baltimore (UMB). He was previously Professor at the University of Washington and recently completed a term as a Finland Distinguished Professor at the University of Turku. Prior to that he was first Director of Proteomics at the Institute for Systems Biology and worked in the pharmaceutical business early in his career for BMS and J&J. His scientific interests lie in defining structure function relationships in biomolecules and development of technology to empower this process. He has published more than 230 manuscripts and given nearly as many lectures nationally and internationally. He is co-founder of Deurion LLC of Seattle, WA and Pataigin LLC of Baltimore, MD and for the last decade has been on the organizing committee of the Mass Spectrometry in Biotechnology and Medicine Summer School.
Immunoproteomic approaches to host-pathogen interactions
Presenter: David R. Goodlett
Co-authors: Mohd M. Khan, Supaksoran Chattagul, Bao Q. Tran, Jeffrey A. Freiberg, Young Ah Goo, Mark E. Shirtliff, Robert K. Ernst, and Rasana W. Sermswan.
The innate immune homeostasis, involving a balance between an effective host defense response and associated inflammation, is a complex, dynamic process that facilitates the very first line of defense against invading pathogens. Predicting how immune phenotypes are altered and understanding a global immune landscape is to date difficult. Thus, we have set out to establish a comprehensive, quantitative evaluation of the whole system to help predict phenotypes that arise when the mammalian immune system confronts an intruder. Here we use Burkholderia thailandensis as a model to understand proteome reorganization during biofilm formation and how that may help bacteria influence antibiotic sensitivities. Using a combination of cytokine profiling, global (phospho) proteomic analyses, and network biology approaches, we decipher how macrophages exhibit distinct, disparate phenotypes in response to endotoxin challenges.