Career Center

Event

Title:

  Industry Insights with Mount Sinai: A Systems Framework for Understanding the Complexity of Human Diseases
Date:   Tuesday, September 11th, 2012
Time:   12:00 – 1:30pm
Location:  

Clark Center Auditorium and Courtyard
Stanford School of Medicine
318 Campus Drive West
Stanford, CA 94305
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Sponsor:   Stanford School of Medicine Career Center
Event details:  

INDUSTRY INSIGHTS W/ MOUNT SINAI:
A SYSTEMS FRAMEWORK FOR UNDERSTANDING THE COMPLEXITY OF HUMAN DISEASES

Tuesday, September 11th, 12:00-1:30pm
School of Medicine, Clark Center Auditorium and Courtyard

Presented by:
Dr. Eric Schadt, PhD
Director, Institute of Genomics & Multiscale Biology
Chairman and Professor, Department of Genetics & Genomics

Sponsored by:
School of Medicine Career Center

Registration Required: https://www.onlineregistrationcenter.com/register.asp?m=273&c=42

Overview:  

Overview: Significant advancements in genomic analysis technologies are driving major changes in both the clinical practice of medicine as well as biomedical research.  Recent improvements in our ability to integrate diverse types of data on a large scale has helped to see that some forms of human diseases are most likely the result of perturbations to specific gene networks that in turn causes changes in the states of other gene networks both within and between tissues that drive biological processes associated with disease.  In other words, while the vast majority of previous efforts to elucidate disease and drug response traits have focused on single dimensions of the system, achieving a more comprehensive view requires examining living systems in multiple dimensions and at multiple scales.  

This seminar will provide direct visibility into these remarkable tools and technologies, along with insights into how these advancements are changing the biomedical research and healthcare landscape, how such technologies can be leveraged by physicians and researchers in performing the work they do, and how knowledge of these tools and capabilities will be increasingly relevant within a new and expanding labor market being shaped by these advents.  The material will be presented by Dr. Eric Schadt whose current efforts at Mount Sinai were motivated by the genomics and systems biology research he led within his experiences at Pacific Bioscience and Merck, which have led to great breakthroughs in the fields of genetics and genomics.

Full abstract: Human diseases and drug response are complex traits that involve entire networks of changes at the molecular level driven by genetic and environmental perturbations. Changes at the molecular level can induce changes in biochemical processes or broader molecular networks that affect cell behavior, and changes in cell behavior can affect normal tissue or whole organ function, eventually leading to pathophysiological states at the organism level that we associate with disease.  While the vast majority of previous efforts to elucidate disease and drug response traits have focused on single dimensions of the system, achieving a more comprehensive view of common human diseases requires examining living systems in multiple dimensions and at multiple scales.  Studies focused on identifying changes in DNA that correlate with changes in disease or drug response traits, changes in gene expression that correlate with disease or drug response traits, or changes in other molecular traits (e.g., metabolite, methylation status, protein phosphorylation status, and so on) that correlate with disease or drug response are fairly routine and have met with great success in many cases. However, to further our understanding of the complex network of molecular and cellular changes that impact disease risk, disease progression, severity, and drug response, we can more formally integrate these different data dimensions.  Here I present an approach for integrating a diversity of molecular and clinical trait data to uncover models that predict complex system behavior.  By integrating diverse types of data on a large scale I demonstrate that some forms of common human diseases like diabetes are most likely the result of perturbations to specific gene networks that in turn causes changes in the states of other gene networks both within and between tissues that drive biological processes associated with disease. These models elucidate not only primary drivers of disease and drug response, but they provide a context within which to interpret biological function, beyond what could be achieved by looking at one dimension alone. That some forms of common human disease are the result of complex interactions among networks has significant implications for drug discovery: designing drugs or drug combinations to impact entire network states rather than designing drugs that target specific disease associated genes.
 
About the Speaker: Dr. Eric Schadt recently joined Mount Sinai Medical School as Director of the Institute of Genomics and Multiscale Biology, and Chairman and Professor of the Department of Genetics and Genomic Sciences.  Previously, his role at Pacific Biosciences as Chief Scientific Officer was to oversee the scientific strategy for the company, including creating the vision for next-generation sequencing applications of the company’s technology.  He is also a founding member of Sage Bionetworks, an open access genomics initiative designed to build and support databases and an accessible platform for creating innovative, dynamic models of disease.  Dr. Schadt received his B.S. in applied mathematics/computer science from California Polytechnic State University, his M.A. in pure mathematics from UCD, and his Ph.D. in bio-mathematics from UCLA (requiring Ph.D. candidacy in molecular biology and mathematics).

     
Additional information and/or registration:  

Register HERE to attend

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