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Saucerman2006_PKA


ABSTRACT: The model reproduces Fig 2B of the paper. Model successfully tested on MathSBML To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

DISEASE(S): Heart Disease

SUBMITTER: Harish Dharuri  

PROVIDER: BIOMD0000000165 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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Publications

Systems analysis of PKA-mediated phosphorylation gradients in live cardiac myocytes.

Saucerman Jeffrey J JJ   Zhang Jin J   Martin Jody C JC   Peng Lili X LX   Stenbit Antine E AE   Tsien Roger Y RY   McCulloch Andrew D AD  

Proceedings of the National Academy of Sciences of the United States of America 20060811 34


Compartmentation and dynamics of cAMP and PKA signaling are important determinants of specificity among cAMP's myriad cellular roles. Both cardiac inotropy and the progression of heart disease are affected by spatiotemporal variations in cAMP/PKA signaling, yet the dynamic patterns of PKA-mediated phosphorylation that influence differential responses to agonists have not been characterized. We performed live-cell imaging and systems modeling of PKA-mediated phosphorylation in neonatal cardiac my  ...[more]

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