Azi Lipshtat

Summary

Affiliation: Mount Sinai School of Medicine
Country: USA

Publications

  1. ncbi request reprint "All possible steps" approach to the accelerated use of Gillespie's algorithm
    Azi Lipshtat
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Chem Phys 126:184103. 2007
  2. 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
  3. 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
  4. 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
  5. doi request reprint 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
  6. 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
  7. 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
  8. ncbi request reprint Effect of desired speed variability on highway traffic flow
    Azi Lipshtat
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 79:066110. 2009
  9. 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
  10. ncbi request reprint Genetic toggle switch without cooperative binding
    Azi Lipshtat
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    Phys Rev Lett 96:188101. 2006

Collaborators

Detail Information

Publications12

  1. ncbi request reprint "All possible steps" approach to the accelerated use of Gillespie's algorithm
    Azi Lipshtat
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York 10029, USA
    J Chem Phys 126:184103. 2007
    ..Moreover, the suggested approach provides a good estimation of statistical error, which may serve as a tool for determining the number of required runs...
  2. 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...
  3. 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...
  4. 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...
  5. doi request reprint 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. ..
  6. 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...
  7. 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...
  8. ncbi request reprint Effect of desired speed variability on highway traffic flow
    Azi Lipshtat
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 79:066110. 2009
    ..Although "mean-field" models that deal with average values only and ignore variability are simpler and easier to analyze, they can very easily turn into oversimplifications and miss relevant qualitative phenomena...
  9. 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...
  10. ncbi request reprint Genetic toggle switch without cooperative binding
    Azi Lipshtat
    Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York 10029, USA
    Phys Rev Lett 96:188101. 2006
    ..Here we show that, for a range of biologically relevant conditions, a suitable combination of network structure and stochastic effects gives rise to bistability even without cooperative binding...
  11. ncbi request reprint Stochastic simulations of genetic switch systems
    Adiel Loinger
    Racah Institute of Physics, The Hebrew University, Jerusalem 91904, Israel
    Phys Rev E Stat Nonlin Soft Matter Phys 75:021904. 2007
    ..The average time between spontaneous transitions is evaluated as a function of the biological parameters...
  12. ncbi request reprint Modeling of negative autoregulated genetic networks in single cells
    Azi Lipshtat
    Racah Institute of Physics, The Hebrew University, Jerusalem 91904, Israel
    Gene 347:265-71. 2005
    ..The analogy between regulatory gene networks and chemical reaction networks on dust grains in the interstellar medium is discussed. The analysis and simulation of complex reaction networks are also considered...