Ravi Iyengar

Summary

Affiliation: Mount Sinai School of Medicine
Country: USA

Publications

  1. ncbi request reprint Teaching resources. Cell signaling systems: a course for graduate students
    Ravi Iyengar
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci STKE 2005:tr3. 2005
  2. pmc A potential peptide therapeutic derived from the juxtamembrane domain of the epidermal growth factor receptor
    Aislyn D W Boran
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, United States of America
    PLoS ONE 7:e49702. 2012
  3. pmc Merging systems biology with pharmacodynamics
    Ravi Iyengar
    Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci Transl Med 4:126ps7. 2012
  4. pmc Systems pharmacology and genome medicine: a future perspective
    Aislyn D Wist
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Genome Med 1:11. 2009
  5. pmc Systems pharmacology of arrhythmias
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics and Systems Biology Center New York, Mount Sinai School of Medicine, One Gustave L Levy Place, Box 1215, New York, NY 10029, USA
    Sci Signal 3:ra30. 2010
  6. ncbi request reprint Teaching resources. Introduction: Overview of pathways and networks and GPCR signaling
    Ravi Iyengar
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci STKE 2005:tr4. 2005
  7. ncbi request reprint Teaching resource. Quantitative models of mammalian cell signaling pathways
    Ravi Iyengar
    Department of Pharmacology and SystemsTherapeutics, Mount Sinai School ofMedicine, New York, NY 10029, USA
    Sci Signal 1:tr1. 2008
  8. ncbi request reprint Teaching resources. Using web-based discussion forums as a model of the peer-review process and a tool for assessment
    Sherry L Jenkins
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci Signal 1:tr2. 2008
  9. pmc Inquiry learning. Integrating content detail and critical reasoning by peer review
    Ravi Iyengar
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Science 319:1189-90. 2008
  10. ncbi request reprint Teaching resources. Structure of G-protein-coupled receptors and G proteins
    Ravi Iyengar
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci STKE 2005:tr10. 2005

Research Grants

  1. Modeling Cell Regulatory Networks
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2009
  2. Dynamics Underlying Tissue Integrity
    Susana R Neves; Fiscal Year: 2010
  3. SIGNALING PATHWAYS INTERACTIONS AND MAMMARY TUMOR
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2000
  4. STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2003
  5. Functions of Regulatory Motifs in Signaling Networks
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2009
  6. Structure and Function of Signal Transduing Components
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2006
  7. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2007
  8. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2002
  9. STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2002
  10. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2002

Collaborators

Detail Information

Publications76

  1. ncbi request reprint Teaching resources. Cell signaling systems: a course for graduate students
    Ravi Iyengar
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci STKE 2005:tr3. 2005
    ..Each lecture is 2 hours. After each set of lectures, there is a 2-hour discussion period during which students present an in-depth analysis of a primary literature article, selected in consultation with the lecturer...
  2. pmc A potential peptide therapeutic derived from the juxtamembrane domain of the epidermal growth factor receptor
    Aislyn D W Boran
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, United States of America
    PLoS ONE 7:e49702. 2012
    ..These results are the first to indicate that the JXM domain of EGFR is a viable drug target for several cancer types...
  3. pmc Merging systems biology with pharmacodynamics
    Ravi Iyengar
    Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci Transl Med 4:126ps7. 2012
    ..This new knowledge can drive drug discovery and shape precision medicine...
  4. pmc Systems pharmacology and genome medicine: a future perspective
    Aislyn D Wist
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Genome Med 1:11. 2009
    ..The interface of the two fields will enable drug discovery for personalized medicine. Here we provide a perspective on the questions and approaches that drive the development of these new interrelated fields...
  5. pmc Systems pharmacology of arrhythmias
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics and Systems Biology Center New York, Mount Sinai School of Medicine, One Gustave L Levy Place, Box 1215, New York, NY 10029, USA
    Sci Signal 3:ra30. 2010
    ....
  6. ncbi request reprint Teaching resources. Introduction: Overview of pathways and networks and GPCR signaling
    Ravi Iyengar
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci STKE 2005:tr4. 2005
    ..A description of the lecture, along with a set of slides (http://stke.sciencemag.org/cgi/content/full/sigtrans;2005/270/tr4/DC1) used to present this information, is provided...
  7. ncbi request reprint Teaching resource. Quantitative models of mammalian cell signaling pathways
    Ravi Iyengar
    Department of Pharmacology and SystemsTherapeutics, Mount Sinai School ofMedicine, New York, NY 10029, USA
    Sci Signal 1:tr1. 2008
    ..The lecture concludes with a description of how models can be tested experimentally and modified when the details of the models and the resultant predictive behavior are not confirmed by experimentation...
  8. ncbi request reprint Teaching resources. Using web-based discussion forums as a model of the peer-review process and a tool for assessment
    Sherry L Jenkins
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci Signal 1:tr2. 2008
    ....
  9. pmc Inquiry learning. Integrating content detail and critical reasoning by peer review
    Ravi Iyengar
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Science 319:1189-90. 2008
  10. ncbi request reprint Teaching resources. Structure of G-protein-coupled receptors and G proteins
    Ravi Iyengar
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci STKE 2005:tr10. 2005
    ..The lecture begins with a discussion of the crystal structure of rhodopsin and G protein subunits and then proceeds to describe the molecular mechanisms of receptor activation and the subsequent release of G proteins...
  11. pmc Retinoic acid utilizes CREB and USF1 in a transcriptional feed-forward loop in order to stimulate MKP1 expression in human immunodeficiency virus-infected podocytes
    Ting Chi Lu
    Department of Medicine, Mount Sinai School of Medicine, One Gustave L Levy Place, New York, NY 10029, USA
    Mol Cell Biol 28:5785-94. 2008
    ..The mechanism involves a feed-forward loop where activation of one transcription factor (TF) (CREB) leads to induction of a second TF (USF1)...
  12. pmc Neuro2A differentiation by Galphai/o pathway
    AVI MA'AYAN
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci Signal 2:cm1. 2009
    ..Components in the Science Signaling Connections Map are linked to Nature Molecule Pages. This interoperability provides ready access to detail that includes information about specific states for the nodes...
  13. pmc Formation of regulatory patterns during signal propagation in a Mammalian cellular network
    AVI MA'AYAN
    Department of Pharmacology and Biological Chemistry Mount Sinai School of Medicine, New York, NY 10029, USA
    Science 309:1078-83. 2005
    ..Key regulators of plasticity were highly connected nodes required for the formation of regulatory motifs, indicating the potential importance of such motifs in determining cellular choices between homeostasis and plasticity...
  14. pmc Signaling network triggers and membrane physical properties control the actin cytoskeleton-driven isotropic phase of cell spreading
    Padmini Rangamani
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, USA
    Biophys J 100:845-57. 2011
    ..Thus, the biophysical properties of the plasma membrane can condense varying levels of signaling network activities into a single cohesive macroscopic cellular behavior...
  15. pmc HIV-1 upregulates VEGF in podocytes
    Sonal Navin Korgaonkar
    Department of, New York, Mount Sinai School of Medicine, New York, USA
    J Am Soc Nephrol 19:877-83. 2008
    ..In conclusion, HIV-1 induces VEGF and VEGFR2 expression in podocytes, and this may be a critical step in the pathogenesis of HIVAN...
  16. pmc G Protein-regulated inducer of neurite outgrowth (GRIN) modulates Sprouty protein repression of mitogen-activated protein kinase (MAPK) activation by growth factor stimulation
    Tracy Anh Hwangpo
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Biol Chem 287:13674-85. 2012
    ..Free Sprouty then in turn inhibits growth factor signaling. Thus, here we present a novel mechanism of how G(o/i)-coupled receptors can inhibit growth factor signaling to MAPK...
  17. ncbi request reprint The G alpha(o/i)-coupled cannabinoid receptor-mediated neurite outgrowth involves Rap regulation of Src and Stat3
    John Cijiang He
    Department of Pharmacology, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Biol Chem 280:33426-34. 2005
    ..Overall, this study demonstrated that G alpha(o/i)-coupled CB1R triggers neurite outgrowth in Neuro-2A through the activation of a signaling network containing two pathways that bifurcate at Src and converge at Stat3...
  18. ncbi request reprint Mitogen-activated protein kinase upregulates the dendritic translation machinery in long-term potentiation by controlling the mammalian target of rapamycin pathway
    Panayiotis Tsokas
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Neurosci 27:5885-94. 2007
    ..The role of ERK in regulating PDK1 and Akt, with their extensive effects on cellular function, has important implications for the coordinated response of the neuron to LTP-inducing stimulation...
  19. pmc Design logic of a cannabinoid receptor signaling network that triggers neurite outgrowth
    Kenneth D Bromberg
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Science 320:903-9. 2008
    ....
  20. pmc HIV-1 Nef disrupts the podocyte actin cytoskeleton by interacting with diaphanous interacting protein
    Ting Chi Lu
    Department of Medicine, Mount Sinai School of Medicine, New York, NY 10029, USA
    J Biol Chem 283:8173-82. 2008
    ..We conclude that in HIV-infected podocytes, Nef, through the recruitment of DIP and p190RhoAGAP to Nef-Src complex, activates p190RhoAGAP and down-regulates RhoA activity...
  21. pmc Cell shape and negative links in regulatory motifs together control spatial information flow in signaling networks
    Susana R Neves
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave L Levy Place, Box 1215, New York, NY 10029, USA
    Cell 133:666-80. 2008
    ....
  22. pmc Decoding information in cell shape
    Padmini Rangamani
    Department of Pharmacology and Systems Therapeutics and Systems Biology Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
    Cell 154:1356-69. 2013
    ..These predictions were experimentally validated by changing cellular eccentricity, showing that shape is a locus of retrievable information storage in cells...
  23. pmc Retinoic acid inhibits HIV-1-induced podocyte proliferation through the cAMP pathway
    John Cijiang He
    Department of Medicine, Mount Sinai School of Medicine, One Gustave L Levy Place, New York, NY 10029, USA
    J Am Soc Nephrol 18:93-102. 2007
    ..These results demonstrate the mechanism by which atRA reverses the proliferation of podocytes that is induced by HIV-1...
  24. pmc Galphao/i-stimulated proteosomal degradation of RGS20: a mechanism for temporal integration of Gs and Gi pathways
    Mario Pagano
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, United States
    Cell Signal 20:1190-7. 2008
    ..These observations suggest that G(o/i)-coupled receptors, by stimulating the degradation of RGS20, can regulate how subsequent activation of the G(s) and G(i) pathways controls cellular cAMP levels, thus allowing for signal integration...
  25. pmc Recovering protein-protein and domain-domain interactions from aggregation of IP-MS proteomics of coregulator complexes
    Amin R Mazloom
    Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York SBCNY, Mount Sinai School of Medicine, New York, New York, United States of America
    PLoS Comput Biol 7:e1002319. 2011
    ..The networks that resulted from the predictions are provided as a web-based interactive application at http://maayanlab.net/HT-IP-MS-2-PPI-DDI/...
  26. pmc Cannabinoid 1 receptor and interleukin-6 receptor together induce integration of protein kinase and transcription factor signaling to trigger neurite outgrowth
    Yana Zorina
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Biol Chem 285:1358-70. 2010
    ..These results provide a mechanism where multiple protein kinases and transcription factors interact to integrate signals from G protein-coupled and cytokine receptor to evoke neurite outgrowth in Neuro2A cells...
  27. ncbi request reprint An androgen-IL-6-Stat3 autocrine loop re-routes EGF signal in prostate cancer cells
    David S Aaronson
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY, USA
    Mol Cell Endocrinol 270:50-6. 2007
    ..Understanding interactions and changes in signal flow within the cell is important to our understanding of signaling networks as well as our ability to identify cellular targets for novel therapies to inhibit cancer progression...
  28. pmc Mechanisms controlling cell size and shape during isotropic cell spreading
    Yuguang Xiong
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, USA
    Biophys J 98:2136-46. 2010
    ..These mechanistic insights can provide a format for understanding how force and chemical signals together modulate cellular regulatory networks to control cell motility...
  29. pmc SNAVI: Desktop application for analysis and visualization of large-scale signaling networks
    AVI MA'AYAN
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    BMC Syst Biol 3:10. 2009
    ..The emergence of large-scale signaling networks provides an opportunity for topological statistical analysis while visualization of such networks represents a challenge...
  30. pmc Functions of bifans in context of multiple regulatory motifs in signaling networks
    Azi Lipshtat
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York 10029, USA
    Biophys J 94:2566-79. 2008
    ..These results indicate that bifan motifs in cell signaling networks can contribute to signal processing capability both intrinsically and by enabling the functions of other regulatory motifs...
  31. pmc Systems approach to explore components and interactions in the presynapse
    Noura S Abul-Husn
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Proteomics 9:3303-15. 2009
    ....
  32. pmc Systems pharmacology of adverse event mitigation by drug combinations
    Shan Zhao
    Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
    Sci Transl Med 5:206ra140. 2013
    ..We conclude that this type of crowdsourced approach of using databases like FAERS can help to identify drugs that could potentially be repurposed for mitigation of serious adverse events. ..
  33. ncbi request reprint Role of the Go/i signaling network in the regulation of neurite outgrowth
    John Cijiang He
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, One Gustave L Levy Place, New York, NY 10029, USA
    Can J Physiol Pharmacol 84:687-94. 2006
    ..We also analyze the role neurotransmitters, which stimulate Go/i to activate a complex signaling network controlling neurite outgrowth, play in regeneration after neuronal injury...
  34. ncbi request reprint Interconnected network motifs control podocyte morphology and kidney function
    Evren U Azeloglu
    1Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci Signal 7:ra12. 2014
    ..Thus, analysis of regulatory motifs using network dynamics can provide insights into pathophysiology that enable predictions for drug intervention strategies to treat kidney disease. ..
  35. ncbi request reprint Systems pharmacology of complex diseases
    Jens Hansen
    Pharmacology and Systems Therapeutics and Systems Biology Center, Mount Sinai School of Medicine, New York, New York, USA
    Ann N Y Acad Sci 1245:E1-5. 2011
    ..Disease-centered networks within the human interactome allow us to predict which drugs may produce a similar pathophysiology. Such predictions can be tested in animal models...
  36. pmc AVIS: AJAX viewer of interactive signaling networks
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1425 Madison Avenue, New York 10029, USA
    Bioinformatics 23:2803-5. 2007
    ..Simple web-based visualization tools can allow for improved data presentation and collaboration. Researchers studying cell signaling would benefit from having the ability to embed dynamic cell signaling maps in web pages...
  37. pmc Specification of spatial relationships in directed graphs of cell signaling networks
    Azi Lipshtat
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, USA
    Ann N Y Acad Sci 1158:44-56. 2009
    ..We suggest that such mixed graphs will provide more accurate descriptions of functional cellular networks and their regulatory capabilities and aid in the development of large-scale predictive models of cellular behavior...
  38. pmc Identification of new Gβγ interaction sites in adenylyl cyclase 2
    Aislyn D W Boran
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave L Levy Place, New York, NY 10029, USA
    Cell Signal 23:1489-95. 2011
    ..Further, the recently discovered PFAHL motif was confirmed to bind and to be involved with stimulation of AC2 by Gβγ. These functional studies indicate that multiple regions of AC2 are involved in the interaction with Gβγ...
  39. pmc Regulation of neurite outgrowth by G(i/o) signaling pathways
    Kenneth D Bromberg
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Front Biosci 13:4544-57. 2008
    ....
  40. pmc Toward predictive models of mammalian cells
    AVI MA'AYAN
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Annu Rev Biophys Biomol Struct 34:319-49. 2005
    ..The use of deterministic, stochastic, and hybrid models to represent cellular processes is reviewed, and an initial integrated approach for the development of large-scale predictive models of a mammalian cell is presented...
  41. ncbi request reprint Local protein synthesis mediates a rapid increase in dendritic elongation factor 1A after induction of late long-term potentiation
    Panayiotis Tsokas
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Neurosci 25:5833-43. 2005
    ..These results suggest a mechanism whereby synaptic stimulation, by signaling through the mTOR pathway, produces an increase in dendritic translational capacity that contributes to LTP maintenance...
  42. pmc Nef stimulates proliferation of glomerular podocytes through activation of Src-dependent Stat3 and MAPK1,2 pathways
    John Cijiang He
    Department of Medicine, Mount Sinai School of Medicine, New York, New York, USA
    J Clin Invest 114:643-51. 2004
    ..These data suggest that Nef-induced activation of Stat3 and Ras-MAPK1,2 via Src-dependent pathways is responsible for podocyte proliferation and dedifferentiation, a characteristic finding in collapsing FSGS of HIVAN...
  43. ncbi request reprint Role of dynamic interactions in effective signal transfer for Gbeta stimulation of phospholipase C-beta 2
    Elizabeth Buck
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    J Biol Chem 277:49707-15. 2002
    ....
  44. pmc Design of versatile biochemical switches that respond to amplitude, duration, and spatial cues
    Azi Lipshtat
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Proc Natl Acad Sci U S A 107:1247-52. 2010
    ..We conclude that the emergence of ultrasensitivity from coupled first-order reactions provides a versatile mechanism for the design of biochemical switches...
  45. pmc Role of systems pharmacology in understanding drug adverse events
    Seth I Berger
    Department of Pharmacology and Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY, USA
    Wiley Interdiscip Rev Syst Biol Med 3:129-35. 2011
    ..This allows rapid identification of biomarkers for side effect susceptibility. In this way, systems pharmacology will lead to not only newer and more effective therapies, but safer medications with fewer side effects...
  46. pmc Systems biology of kidney diseases
    John Cijiang He
    Department of Medicine, Mount Sinai School of Medicine, New York, New York 10029, USA
    Kidney Int 81:22-39. 2012
    ..This integration of experimental approaches and computational modeling is expected to generate new knowledge that can help to identify marker sets to guide the diagnosis, monitor disease progression, and identify new therapeutic targets...
  47. pmc Systems pharmacology: network analysis to identify multiscale mechanisms of drug action
    Shan Zhao
    Department of Pharmacology and Systems Therapeutics, and Systems Biology Center New York, Mount Sinai School of Medicine, New York, New York 10029, USA
    Annu Rev Pharmacol Toxicol 52:505-21. 2012
    ..The long-term goal of such research is to develop polypharmacology for complex diseases and predict therapeutic efficacy and adverse event risk for individuals prior to commencement of therapy...
  48. pmc Ordered cyclic motifs contribute to dynamic stability in biological and engineered networks
    AVI MA'AYAN
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, USA
    Proc Natl Acad Sci U S A 105:19235-40. 2008
    ..This topology provides more dynamic stability in large networks...
  49. pmc Modeling cell signaling networks
    Narat J Eungdamrong
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Biol Cell 96:355-62. 2004
    ..Different mathematical approaches that are currently used to model signaling networks are described, and future challenges including the need for databases as well as enhanced computing environments are discussed...
  50. ncbi request reprint Cannabinoid receptor-induced neurite outgrowth is mediated by Rap1 activation through G(alpha)o/i-triggered proteasomal degradation of Rap1GAPII
    J Dedrick Jordan
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Biol Chem 280:11413-21. 2005
    ..Thus, the G(alpha)o/i-coupled cannabinoid receptor, by regulating the proteasomal degradation of Rap1GAPII, activates Rap1 to induce neurite outgrowth...
  51. ncbi request reprint Functional analysis of the interface regions involved in interactions between the central cytoplasmic loop and the C-terminal tail of adenylyl cyclase
    Barney Yoo
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Biol Chem 279:13925-33. 2004
    ....
  52. pmc Calpain as an effector of the Gq signaling pathway for inhibition of Wnt/beta -catenin-regulated cell proliferation
    Guangnan Li
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Proc Natl Acad Sci U S A 99:13254-9. 2002
    ..We conclude that Gq signaling promotes nuclear export and calpain-mediated degradation of beta-catenin, which therefore contributes to the inhibition of Wnt/beta-catenin pathway...
  53. pmc Systems pharmacology of complex diseases
    Jens Hansen
    Pharmacology and Systems Therapeutics and Systems Biology Center, Mount Sinai School of Medicine, New York, New York 10029, USA
    Ann N Y Acad Sci 1245:E1-5. 2011
    ..Disease-centered networks within the human interactome allow us to predict which drugs may produce a similar pathophysiology. Such predictions can be tested in animal models...
  54. pmc Network analysis of FDA approved drugs and their targets
    AVI MA'AYAN
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York 10029, USA
    Mt Sinai J Med 74:27-32. 2007
    ..These initial observations allow for development of an integrated research methodology to identify general principles of the drug discovery process...
  55. pmc Compartment-specific feedback loop and regulated trafficking can result in sustained activation of Ras at the Golgi
    Narat J Eungdamrong
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    Biophys J 92:808-15. 2007
    ....
  56. pmc Systems pharmacology
    Aislyn D W Boran
    Mount Sinai School of Medicine, New York, NY, USA
    Mt Sinai J Med 77:333-44. 2010
    ..Recent studies have combined the structural analyses with analysis of regulatory networks to make predictions about the therapeutic effects of drugs for complex diseases and possible off-target effects...
  57. ncbi request reprint Quantitative information management for the biochemical computation of cellular networks
    Fabien Campagne
    Department of Physiology and Biophysics and Institute for Computational Biomedicine, Weill Medical College of Cornell University, New York, NY, 10021, USA
    Sci STKE 2004:pl11. 2004
    ..We anticipate that, when appropriately populated, such a system will be useful for large-scale quantitative studies of cell-signaling networks and other cellular networks. SigPath is distributed under the GNU General Public License...
  58. pmc Small molecule-mediated directed differentiation of human embryonic stem cells toward ventricular cardiomyocytes
    Ioannis Karakikes
    Cardiovascular Research Center and Department of Pharmacology and Systems Therapeutics, Systems Biology Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA Stem Cell and Regenerative Medicine Consortium, Department of Physiology, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
    Stem Cells Transl Med 3:18-31. 2014
    ....
  59. pmc Topology of resultant networks shaped by evolutionary pressure
    AVI MA'AYAN
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 73:061912. 2006
    ..This analysis provides initial insights into distribution of pathways in naturally evolving complex systems that have defined input-output relationships...
  60. pmc From components to regulatory motifs in signalling networks
    AVI MA'AYAN
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, USA
    Brief Funct Genomic Proteomic 5:57-61. 2006
    ..The integration of high-throughput experimental results and information from legacy literature is expected to produce computational models that would rapidly enhance our understanding of the detail workings of mammalian cells...
  61. pmc Systems biology--biomedical modeling
    Eric A Sobie
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Sci Signal 4:tr2. 2011
    ..We anticipate that such approaches will apply throughout the biomedical sciences and that courses such as the one described here will become a core requirement of many graduate programs in the biological and biomedical sciences...
  62. pmc Network analyses in systems pharmacology
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Bioinformatics 25:2466-72. 2009
    ..Taken together, these types of analyses can lead to new therapeutic options while improving the safety and efficacy of existing medications...
  63. ncbi request reprint Organization and functions of interacting domains for signaling by protein-protein interactions
    Elizabeth Buck
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, USA
    Sci STKE 2003:re14. 2003
    ..Other binding regions may be arranged within the protein to impart specificity of recognition and thereby maintain overall contact between the partners during the conformational dynamics that occur in the signal-transfer process...
  64. pmc Computational approaches for modeling regulatory cellular networks
    Narat J Eungdamrong
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Trends Cell Biol 14:661-9. 2004
    ..Finally, the modeling approach is expanded to describe how signaling networks might regulate cellular machines and evoke phenotypic behaviors...
  65. pmc Adenovirus-directed expression of Q227L-G alpha(s) inhibits growth of established tumors of later-stage human breast cancer cells in athymic mice
    Tara Ann Santore
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029
    Proc Natl Acad Sci U S A 99:1671-6. 2002
    ..These results raise the possibility that sustained elevation of cAMP may have therapeutic value in the treatment of estrogen-resistant later stage breast cancers...
  66. pmc The cognitive phenotype of Down syndrome: insights from intracellular network analysis
    AVI MA'AYAN
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    NeuroRx 3:396-406. 2006
    ..We propose how these methods could be integrated with creation and manipulation of mouse models of DS to advance our understanding of the perturbed cell signaling pathways in DS. This understanding could lead to potential therapeutics...
  67. ncbi request reprint Postsynaptic signaling networks: cellular cogwheels underlying long-term plasticity
    Robert D Blitzer
    Department of Psychiatry, Mount Sinai School of Medicine, New York, New York 10029, USA
    Biol Psychiatry 57:113-9. 2005
    ..It is posited that local translation at the synapse, in a self-sustaining manner, mediates the persistence of long-term changes despite constant turnover of the synaptic components...
  68. pmc Models of spatially restricted biochemical reaction systems
    Susana R Neves
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Biol Chem 284:5445-9. 2009
    ..Thus, patterns of locally restricted signaling reaction systems can be considered an emergent property of the cell...
  69. pmc Modelling cellular signalling systems
    Padmini Rangamani
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, U S A
    Essays Biochem 45:83-94. 2008
    ..This is followed by a brief summary of some recent modelling successes and the state of future models...
  70. ncbi request reprint Modelling spatio-temporal interactions within the cell
    Padmini Rangamani
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, One Gustave L Levy Place, New York, NY 10029, USA
    J Biosci 32:157-67. 2007
    ..This review describes the capability and limitations of the approaches used to study spatio-temporal dynamics of cell signalling components...
  71. pmc Systems approaches to polypharmacology and drug discovery
    Aislyn D W Boran
    Mount Sinai School of Medicine, Department of Pharmacology and Systems Therapeutics, One Gustave L Levy Place, New York, NY 10029, USA
    Curr Opin Drug Discov Devel 13:297-309. 2010
    ..Drug-target networks can be used to identify multiple targets and to determine suitable combinations of drug targets or drugs. Thus, the discovery of new drug therapies for complex diseases may be greatly aided by systems biology...
  72. pmc Phosphatidylinositol-4,5-bisphosphate regulates epidermal growth factor receptor activation
    Ioannis E Michailidis
    Department of Structural and Chemical Biology, Mount Sinai School of Medicine, New York, NY, USA
    Pflugers Arch 461:387-97. 2011
    ....
  73. ncbi request reprint Use of peptide probes to determine function of interaction sites in G protein interactions with effectors
    Elizabeth Buck
    Department of Pharmacology, Mount Sinai School of Medicine, New York, New York 10029, USA
    Methods Enzymol 344:513-21. 2002
  74. ncbi request reprint G protein pathways
    Susana R Neves
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Science 296:1636-9. 2002
    ..These cellular processes in turn regulate systemic functions such as embryonic development, gonadal development, learning and memory, and organismal homeostasis...
  75. ncbi request reprint Expression of adenovirus-directed expression of activated G alpha s in rat hippocampal slices
    George P Brown
    Department of Pharmacology, Mount Sinai School of Medicine, New York, New York 10029, USA
    Methods Enzymol 344:343-9. 2002
  76. ncbi request reprint Modeling of signaling networks
    Susana R Neves
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY 10029, USA
    Bioessays 24:1110-7. 2002
    ..These types of complex behavior from relatively simple networks highlight the necessity of using theoretical approaches in understanding higher order biological functions...

Research Grants42

  1. Modeling Cell Regulatory Networks
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2009
    ..From such analysis we hope to define the key criteria involved in determining the characteristics of microdomains of signaling molecules within the cell. ..
  2. Dynamics Underlying Tissue Integrity
    Susana R Neves; Fiscal Year: 2010
    ..We will use the filtration barrier of the kidney cortex as our model system. We will use a combination of mathematical models and engineering approaches to develop a 3D tissue assembly. ..
  3. SIGNALING PATHWAYS INTERACTIONS AND MAMMARY TUMOR
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2000
    ..abstract_text> ..
  4. STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2003
    ..It is anticipated that these studies will lead to the identification of key intracellular sites that are potential targets for therapeutic agents that have their effects by modulation of G protein signaling pathways. ..
  5. Functions of Regulatory Motifs in Signaling Networks
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2009
    ..Understanding the relationship between intracellular organization and decision making in brain cells will allow us to identify new drug targets and develop new approaches to treat complex diseases. ..
  6. Structure and Function of Signal Transduing Components
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2006
    ..abstract_text> ..
  7. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2007
    ..From these studies we anticipate that we will develop a predictive understanding of how the cannabinoid and Galphao regulated signaling network triggers neurite extension. ..
  8. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2002
    ..We anticipate that the proposed studies should provide new insights into how G protein coupling to other signal pathways can be used to evoke biological effects. ..
  9. STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2002
    ..It is anticipated that these studies will lead to the identification of key intracellular sites that are potential targets for therapeutic agents that have their effects by modulation of G protein signaling pathways. ..
  10. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2002
    ..We anticipate that the proposed studies should provide new insights into how G protein coupling to other signal pathways can be used to evoke biological effects. ..
  11. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2006
    ..From these studies we anticipate that we will develop a predictive understanding of how the cannabinoid and Galphao regulated signaling network triggers neurite extension. ..
  12. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2004
    ..From these studies we anticipate that we will develop a predictive understanding of how the cannabinoid and Galphao regulated signaling network triggers neurite extension. ..
  13. STRUCTURE AND FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2005
    ..abstract_text> ..
  14. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2001
    ..We anticipate that the proposed studies should provide new insights into how G protein coupling to other signal pathways can be used to evoke biological effects. ..
  15. STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2001
    ..It is anticipated that these studies will lead to the identification of key intracellular sites that are potential targets for therapeutic agents that have their effects by modulation of G protein signaling pathways. ..
  16. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2000
    ..We anticipate that the proposed studies should provide new insights into how G protein coupling to other signal pathways can be used to evoke biological effects. ..
  17. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 1999
    ..We anticipate that the proposed studies should provide new insights into how G protein coupling to other signal pathways can be used to evoke biological effects. ..
  18. STRUCTURE AND FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2007
    ..abstract_text> ..
  19. Functions of Regulatory Motifs in Signaling Networks
    SRINIVAS RAVI V IYENGAR; Fiscal Year: 2010
    ..Understanding the relationship between intracellular organization and decision making in brain cells will allow us to identify new drug targets and develop new approaches to treat complex diseases. ..
  20. Dynamics Underlying Tissue Integrity
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2009
    ..We will use the filtration barrier of the kidney cortex as our model system. We will use a combination of mathematical models and engineering approaches to develop a 3D tissue assembly. ..
  21. Modeling Cell Regulatory Networks
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2007
    ..From such analysis we hope to define the key criteria involved in determining the characteristics of microdomains of signaling molecules within the cell. ..
  22. Modeling Cell Regulatory Networks
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2006
    ..From such analysis we hope to define the key criteria involved in determining the characteristics of microdomains of signaling molecules within the cell. ..
  23. STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 1999
    ..Such understanding could lead to new long acting therapeutic agents for many diseases. ..
  24. STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2000
    ..It is anticipated that these studies will lead to the identification of key intracellular sites that are potential targets for therapeutic agents that have their effects by modulation of G protein signaling pathways. ..
  25. SIGNALING PATHWAYS INTERACTIONS AND MAMMARY TUMOR
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2001
    ..abstract_text> ..
  26. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2001
    ..We anticipate that the proposed studies should provide new insights into how G protein coupling to other signal pathways can be used to evoke biological effects. ..
  27. SIGNALING PATHWAYS INTERACTIONS AND MAMMARY TUMOR
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2003
    ..abstract_text> ..
  28. STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 1999
    ..It is anticipated that these studies will lead to the identification of key intracellular sites that are potential targets for therapeutic agents that have their effects by modulation of G protein signaling pathways. ..
  29. SIGNALING PATHWAYS INTERACTIONS AND MAMMARY TUMOR
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2004
    ..abstract_text> ..
  30. MECHANISMS OF INTERACTION BETWEEN SIGNALING PATHWAYS
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2005
    ..From these studies we anticipate that we will develop a predictive understanding of how the cannabinoid and Galphao regulated signaling network triggers neurite extension. ..
  31. SIGNALING PATHWAYS INTERACTIONS AND MAMMARY TUMOR
    SRINIVAS RAVI IYENGAR; Fiscal Year: 2002
    ..abstract_text> ..