Ashrafi, Kaveh
Barber, Diane L
Bernstein, Harold S.
Black, Brian L
Blanc, Paul D
Boushey, Homer A
Broaddus, V Courtney
Brown, James K
Caughey, George H
Chapman, Harold A
Charo, Israel F
Chatterjee, Kanu
Chuang, Pao-Tien
Clyman, Ronald I
Conklin, Bruce R
Coughlin, Shaun R
Derynck, Rik M
Dobbs, Leland G
Eisner, Mark D
Engel, Joanne N
Erle, David J
Fahy, John Vincent
Farese, Robert V
Fielding, Christopher J
Fielding, Phoebe
Fineman, Jeffrey R
Glantz, Stanton A
Grossman, William
Hawgood, Samuel
Ingraham, Holly A
Jan, Lily Y
Kan, Yuet W
Kane, John P
Kornberg, Thomas B
Kurtz, Theodore W
Kwok, Pui-Yan
Lazarus, Stephen C
Malloy, Mary J.
Martin, Gail R
Matthay, Michael A
Mcdonald, Donald M
Mikawa, Takashi
Minor, Daniel L
Mostov, Keith E
Nadel, Jay A
Ordahl, Charles P
Pitas, Robert E
Reiter, Jeremy F.
Rosen, Steven D
Shaw, Robin M.
Sheppard, Dean
Simpson, Paul C
Stainier, Didier Y. R.
Wang, Rong
Weiner, Orion D
Weisgraber, Karl H
Weiss, Arthur
Weiss, Ethan J
Werb, Zena
Wiener-Kronish, Jeanine
Young, William L

CVRI Scientists

Bruce R. Conklin, M.D.
Associate Investigator, Gladstone Institute of Cardiovascular Disease

Research Interests:
Rewiring G protein signals in vivo

Summary:
Hormone receptors help to coordinate the development and function of tissues such as the heart. The largest known family of receptors for hormones and drugs are the G proteinÐcoupled receptors, with over 700 human genes. Many of the mostly widely used drugs work on these receptors, so it is of great medical interest to find out how they work. We focus on how these receptors work in embryonic stem (ES) cells, since these cells can develop into beating heart cells in a few days. This way we can rapidly turn on or off receptor signaling pathways, and see what happens in the ES-derived heart cells. Most of our work is with mouse ES cells, but we also work with human ES cells when technically possible.

Since many of our experiments produce overwhelming amounts of data we write computer software programs to help analyze these data in the context of known biological pathways. One of our programs is freely distributed (www.GenMAPP.org) and has over 13,000 registered users. For many biologists GenMAPP has become like an 'Adobe Acrobat' for biological pathways, since they can exchange pathway information without buying expensive software. We continue to develop free open-source software to accelerate our own research while helping the community of biologists. In the future, we are particularly interested in designing software to study human genetic variations that could be associated with disease. By combining pathway-oriented bioinformatics with high-throughput experimental methods that probe these pathways, we are gaining insights into the molecular basis for hormonal control of heart development and function.

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