Arthur Sherman

Dr. Arthur Sherman

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Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 June 2007 in Diabetologia
Verified
Journal Article
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TMT. McLaughlin
T. McLaughlin
ASArthur Sherman
Arthur Sherman
PTP. Tsao
P. Tsao
OGO. Gonzalez
O. Gonzalez
GYG. Yee
G. Yee
SCS. W. Cushman
S. W. Cushman

15 March 1992 in Proceedings of the National Academy of Sciences
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Journal Article
Closed access
ASArthur Sherman
Arthur Sherman
JRJ Rinzel
J Rinzel
Strong gap-junctional coupling can synchronize the electrical oscillations of cells, but we show, in a theoretical model, that weak coupling can phase lock two cells 180 degrees out-of-phase. Antiphase oscillations can exist in parameter regimens where in-phase oscillations break down. Some consequences are (i) coupling two excitable cells leads to pacemaking, (ii) coupling two pacemaker cells leads to bursting, and (iii) coupling two bursters increases burst period. The latter shows that details of the fast spikes can affect macroscopic properties of the slow bursts. These effects hold in other models for bursting and may play a role in the collective behavior of cellular ensembles.

1 April 2015 in Molecular Aspects of Medicine
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Journal Article
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LSLeslie S Satin
Leslie S Satin
PBPeter C. Butler
Peter C. Butler
JHJoon Ha
Joon Ha
ASArthur Sherman
Arthur Sherman

1 May 1995 in Bulletin of Mathematical Biology
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Journal Article
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RBRichard Bertram
Richard Bertram
MBManish J Butte
Manish J Butte
TKTim Kiemel
Tim Kiemel
ASArthur Sherman
Arthur Sherman

1 November 2002 in American Journal of Physiology-Endocrinology and Metabolism
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Journal Article
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ASAhmad R. Sedaghat
Ahmad R. Sedaghat
ASArthur Sherman
Arthur Sherman
MQMichael J. Quon
Michael J. Quon
We develop a mathematical model that explicitly represents many of the known signaling components mediating translocation of the insulin-responsive glucose transporter GLUT4 to gain insight into the complexities of metabolic insulin signaling pathways. A novel mechanistic model of postreceptor events including phosphorylation of insulin receptor substrate-1, activation of phosphatidylinositol 3-kinase, and subsequent activation of downstream kinases Akt and protein kinase C-ζ is coupled with previously validated subsystem models of insulin receptor binding, receptor recycling, and GLUT4 translocation. A system of differential equations is defined by the structure of the model. Rate constants and model parameters are constrained by published experimental data. Model simulations of insulin dose-response experiments agree with published experimental data and also generate expected qualitative behaviors such as sequential signal amplification and increased sensitivity of downstream components. We examined the consequences of incorporating feedback pathways as well as representing pathological conditions, such as increased levels of protein tyrosine phosphatases, to illustrate the utility of our model for exploring molecular mechanisms. We conclude that mathematical modeling of signal transduction pathways is a useful approach for gaining insight into the complexities of metabolic insulin signaling.

1 October 2007 in American Journal of Physiology-Endocrinology and Metabolism
Verified
Journal Article
Closed access
PDF file
RBRichard Bertram
Richard Bertram
ASArthur Sherman
Arthur Sherman
LSLeslie S. Satin
Leslie S. Satin
Impairment of insulin secretion from the β-cells of the pancreatic islets of Langerhans is central to the development of type 2 diabetes mellitus and has therefore been the subject of much investigation. Great advances have been made in this area, but the mechanisms underlying the pulsatility of insulin secretion remain controversial. The period of these pulses is 4–6 min and reflects oscillations in islet membrane potential and intracellular free Ca2+. Pulsatile blood insulin levels appear to play an important physiological role in insulin action and are lost in patients with type 2 diabetes and their near relatives. We present evidence for a recently developed β-cell model, the “dual oscillator model,” in which oscillations in activity are due to both electrical and metabolic mechanisms. This model is capable of explaining much of the available data on islet activity and offers possible resolutions of a number of longstanding issues. The model, however, still lacks direct confirmation and raises new issues. In this article, we highlight both the successes of the model and the challenges that it poses for the field.