June 9

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09:00 – 9:30

The 1000 Genome Project: What defines variance in humans and what impact does variance have on our lives
Gonzalo Abecasis, University of Michigan

9:30 - 11:00

Session V: Implementing Systems Biology in your Renal Research: The First Step is Easier Than You Think

Bridging the gap in renal translational research: bringing large scale data sets into the renal research labs Matthias Kretzler, University of Michigan, Ann Arbor, USA

Facilitating Renal Disease Researchers in Constructing and Sharing Team Knowledge Across Disciplines and Geographies
Barbara Mirel, School of Information, University of Michigan, Ann Arbor, USA 

Introduction to Web Based Systems Biology Tools
Jim Cavalcoli, CCMB, University of Michigan

10:30 – 15:00

Session VI and VII combined with lunch break

Break out session I and II

Using online tools for large scale data mining; Hands on tutorials in computer labs

15:00 – 15:30

Coffee Break in Poster Area

15.30 – 18.00

Session VIII: Integration of Large-Scale Data Sets Across Species and Tissues

Diabetic endorgan damage: Lessons learned between nephrons and neurons
Frank Brosius, University of Michigan, Ann Arbor, USA
Eva Feldman, University of Michigan, Ann Arbor, USA

miRNA’s in Diabetic Nephropathy
Rama Natarajan, Beckman Research Institute of City of Hope, Los Angeles, USA

Using transcriptomics to identify targets for focused metabolomics
Sub Pennathur, University of Michigan, USA

Metabolomics of diabetic kidney disease
Kumar Sharma, University of California, San Diego, USA

Recapitulating genetic variance in the mouse: first lessons learned
Tom Coffman, Duke University Medical Center, Durham, USA

Individual dinners depending on location of the meeting