June 9

09:00 – 9:30

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

9:30 - 10:30

Session V: Implementing systems biology in your renal research: the first step is easier than you think

Dismanteling the tower of Bable: How to make bioinformatician and renal researcher understand each other
Barbara Mirel, School of Information, Univ. Michigan

Bridging the gap in renal translational research: bringing large scale data sets into the renal research labs
Matthias Kretzler, Univ. Michigan

Introduction to web based systems biology tools: just a mouse click away
Jim Cavalcoli, CCMB, Univ. Michigan (TBC)

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
(40 dry labs slots (Computer work stations), each 2-3 participants)
- NCBI resources (including Nephromine)
- NCBC resource tool sets
- Industry resources

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, Univ. Michigan
Eva Feldman, Univ. Michigan

Role of miRNA in renal cell lineage definition
Tom Tuschl, Rockefeller, NY

miRNA’s in Diabetic Nephropathy
Rama Natarajan, UCLA (TBC)

Using transcriptomics to identify targets for focused metabolomics
Sub Pennathur, Univ. Michigan

Metabolomics of diabetic nephropathy in mouse and man
Kumar Sharma, UCSD

Recapitulating genetic variance in the mouse: first lesions learned
Tom Coffman, Duke

Individual dinners depending on location of the meeting