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Contact Information |
Research Theme
My laboratory studies cellular signaling networks. We are interested in understanding how signals are routed and processed through cellular signaling networks including mechanisms of information sorting and integration. We are interested in understanding dynamics of network topology. For this, we focus on identifying regulatory motifs such as feedback and feedforward loops and determining their information processing capability. We have constructed and analyzed dynamic maps of these motifs to understand how cellular signaling networks engage the various cellular machinery to produce physiological responses to extra-cellular signals. To study complex cell signaling networks we utilize a combination of experimental and theoretical approaches. Multivariant experimental approaches currently being used in the laboratory include reverse-phase phosphoproteomic arrays, transcription factor arrays, and microarrays to obtain message profiling. These experimental approaches are being integrated with theoretical analysis using both graph-theory approaches and differential equation—based modeling to understand network regulation of cell movement, cell proliferation, and activity-induced synaptic plasticity.
We are interested in understanding how spatial organization within the cell contributes to information processing within signaling networks. At the experimental level, we are developing approaches to observe and quantify biochemical signaling reactions related to regulation of cell movement in live cells. At the computational level, we are developing both deterministic and stochastic models of cell movement so as to predict the regulated behavior of the nanomachines that underlie the movement. We are analyzing signaling networks using systems of ordinary and partial differential equations. We are developing spatially realistic models of signaling networks to understand the origins and dynamics of microdomains of signaling components and how these are related to cell movement.
We are developing approaches to use intracellular cell signaling components as therapeutic agents. In these studies we are testing if interactions between signaling pathways can be used as a basis for therapy. Here we seek to integrate experimental and theoretical approaches to identify potential drug targets in a hierarchical manner and develop small molecule interactors with these targets.
Background and Education
Ravi Iyengar is the Dorothy H. and Lewis Rosenstiel Professor and chair of the Department of Pharmacology and Biological Chemistry at the Mount Sinai School of Medicine, New York. Dr. Iyengar received his Ph.D. in biophysical sciences from the University of Houston, and then worked as a postdoctoral fellow, assistant and associate professor at the Baylor College of Medicine. He joined the Department of Pharmacology at the Mount Sinai School of Medicine as an associate professor in 1986. In 1999, he was appointed the chair of the Department of Pharmacology, and then in 2001 he was named the Dorothy H. and Lewis Rosenstiel Professor and chair of the Department of Pharmacology and Biological Chemistry. Dr. Iyengar also served as the dean of research for the Mount Sinai School of Medicine from 2002 to 2004.
Honors and Awards
| 2001 | Dorothy H. and Lewis Rosenstiel Professor and chair, Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine |
| 2004 | Fellow, American Association for the Advancement of Science |
Selected Publications
Ma'ayan A, Lipshtat A, Iyengar R.
Topology of resultant networks shaped by evolutionary pressure.
Phys Rev E. 2006;73:061912.
Ma'ayan A, Gardiner K, Iyengar R.
The cognitive phenotype of down syndrome: insights from intracellular network analysis.
NeuroRx. 2006;3(3):396-406.
Ma'ayan A, Iyengar R.
From components to regulatory motifs in signaling networks.
Brief Funct Genomic Proteomics. 2006;5(1):57-61.
He JC, Gomes I, Nguyen T, Jayaram G, Ram PT, Devi LA, Iyengar R.
The Galpha o/i coupled cannabinoid receptor mediated neurite outgrowth involves Rap regulation of Src and Stat3.
J Biol Chem. 2005;280(39):33426-34.
Ma'ayan A, Jenkins SL, Neves S, Hasseldine A, Grace E, Dubin-Thaler B, Eungdamrong NJ, Weng G, Ram PT, Rice JJ, Kershenbaum A, Stolovitzky GA, Blitzer RD, Iyengar R.
Formation of regulatory patterns during signal propagation in a mammalian cellular network.
Science. 2005;309(5737):1078-1083.
Ma'ayan A, Blitzer RD, Iyengar R.
Toward predictive models of mammalian cells.
Ann Rev Biophys Biomol Struct. 2005;34:319-349.
Jordan JD, He JC, Eungdamrong NJ, Gomes I, Ali W, Nguyen T, Bivona TG, Philips MR, Devi LA, Iyengar R.
Cannabinoid receptor induced neurite outgrowth is mediated by Rap1 activation through Galphao/I-triggered proteasomal degradation of Rap1GAPII.
J Biol Chem. 2005;280(12):11413-11421.
Eungdamrong NJ, Iyengar R.
Modeling cell signaling networks.
Biol Cell. 2004;96:355-362.
Yoo B, Iyengar R, Chen Y.
Functional analysis of the interface regions involved in interactions between the central cytoplasmic loop and the C-terminal tail of adenylyl cyclase.
J Biol Chem. 2004;279:13925-13933.
Buck E, Iyengar R.
Organization and functions of interacting domains for signaling by protein-protein interactions.
Sci STKE. 2003;209:re14.
Buck E, Schatz P, Scarlata S, Iyengar R.
Role of dynamic interactions in effective signal transfer for Gbeta stimulation of phospholipase C-beta 2.
J Biol Chem. 2002;277:49707-49715.
Bhalla US, Ram PT, Iyengar R.
MAP kinase phosphatase as a locus of flexibility in a mitogen-activated protein kinase signaling network.
Science. 2002;297:1018-1023.
Neves SR, Ram PT, Iyengar R.
G protein pathways.
Science. 2002;296(5573):1636-1639.
Chen Y, Yoo B, Lee JB, Weng G, Iyengar R.
The signal transfer regions of G alpha(s).
J Biol Chem. 2001;276:45751-45754.
Holness W, Santore TA, Brown GP, Fallon JT, Taubman MB, Iyengar R.
Expression of Q227L-alpha(s) inhibits intimal vessel wall hyperplasia after balloon injury.
Proc Nat Acad Sci, USA. 2001;98:1288-1293.
Jordan JD, Landau EM, Iyengar R.
Signaling networks: origins of cellular multitasking.
Cell. 2000;103:193-200.
Bhalla US and Iyengar R.
Emergent properties of networks of biological signaling pathways.
Science. 1999;283:381-338.
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3D Visualization of a Signaling Network.  View Image |