BIOMD0000000343
type: SBMLModel
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volume units: volume
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parameter: metaid_0000037
species: metaid_0000017
length unit: length
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occurs in: http://identifiers.org/taxonomy/9606
substance units: substance
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curated: true
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name: Brannmark2010_InsulinSignalling_Mifamodel
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species: metaid_0000005
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is part of: GO:0008286
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notes: This model is from the article: Mass and information feedbacks through receptor endocytosis govern insulin signaling as revealed using a parameter-free modeling framework. Brannmark C, Palmer R, Glad ST, Cedersund G, Stralfors P. J Biol Chem. 2010 Jun 25;285(26):20171-9. 20421297 , Abstract: Insulin and other hormones control target cells through a network of signal-mediating molecules. Such networks are extremely complex due to multiple feedback loops in combination with redundancy, shared signal mediators, and cross-talk between signal pathways. We present a novel framework that integrates experimental work and mathematical modeling to quantitatively characterize the role and relation between co-existing submechanisms in complex signaling networks. The approach is independent of knowing or uniquely estimating model parameters because it only relies on (i) rejections and (ii) core predictions (uniquely identified properties in unidentifiable models). The power of our approach is demonstrated through numerous iterations between experiments, model-based data analyses, and theoretical predictions to characterize the relative role of co-existing feedbacks governing insulin signaling. We examined phosphorylation of the insulin receptor and insulin receptor substrate-1 and endocytosis of the receptor in response to various different experimental perturbations in primary human adipocytes. The analysis revealed that receptor endocytosis is necessary for two identified feedback mechanisms involving mass and information transfer, respectively. Experimental findings indicate that interfering with the feedback may substantially increase overall signaling strength, suggesting novel therapeutic targets for insulin resistance and type 2 diabetes. Because the central observations are present in other signaling networks, our results may indicate a general mechanism in hormonal control.
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W3 CDTF: Thu Aug 09 17:41:42 BST 2012

W3 CDTF: Thu Jul 14 15:54:55 BST 2011

ORG:
  orgname: EMBL-EBI
n:
  given: Ishan
  family: Ajmera