help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Originally published as Biophys J. BioFAST on May 27, 2005.
doi:10.1529/biophysj.105.060533
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplemental File
Right arrow All Versions of this Article:
biophysj.105.060533v1
89/2/951    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Borisov, N. M.
Right arrow Articles by Kholodenko, B. N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Borisov, N. M.
Right arrow Articles by Kholodenko, B. N.
Biophysical Journal 89:951-966 (2005)
© 2005 The Biophysical Society

Signaling through Receptors and Scaffolds: Independent Interactions Reduce Combinatorial Complexity

Nikolay M. Borisov, Nick I. Markevich, Jan B. Hoek and Boris N. Kholodenko

Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, Philadelphia, Pennsylvania

Correspondence: Address reprint requests to Boris N. Kholodenko, Tel.: 215-503-1614; Fax: 215-923-2218; E-mail: boris.kholodenko{at}jefferson.edu.

After activation, many receptors and their adaptor proteins act as scaffolds displaying numerous docking sites and engaging multiple targets. The consequent assemblage of a variety of protein complexes results in a combinatorial increase in the number of feasible molecular species presenting different states of a receptor-scaffold signaling module. Tens of thousands of such microstates emerge even for the initial signal propagation events, greatly impeding a quantitative analysis of networks. Here, we demonstrate that the assumption of independence of molecular events occurring at distinct sites enables us to approximate a mechanistic picture of all possible microstates by a macrodescription of states of separate domains, i.e., macrostates that correspond to experimentally verifiable variables. This analysis dissects a highly branched network into interacting pathways originated by protein complexes assembled on different sites of receptors and scaffolds. We specify when the temporal dynamics of any given microstate can be expressed using the product of the relative concentrations of individual sites. The methods presented here are equally applicable to deterministic and stochastic calculations of the temporal dynamics. Our domain-oriented approach drastically reduces the number of states, processes, and kinetic parameters to be considered for quantification of complex signaling networks that propagate distinct physiological responses.




This article has been cited by other articles:


Home page
Nucleic Acids ResHome page
L. Saiz and J. M. G. Vilar
Ab initio thermodynamic modeling of distal multisite transcription regulation
Nucleic Acids Res., February 11, 2008; 36(3): 726 - 731.
[Abstract] [Full Text] [PDF]


Home page
J. Biol. Chem.Home page
A. Kiyatkin, E. Aksamitiene, N. I. Markevich, N. M. Borisov, J. B. Hoek, and B. N. Kholodenko
Scaffolding Protein Grb2-associated Binder 1 Sustains Epidermal Growth Factor-induced Mitogenic and Survival Signaling by Multiple Positive Feedback Loops
J. Biol. Chem., July 21, 2006; 281(29): 19925 - 19938.
[Abstract] [Full Text] [PDF]


Home page
Sci SignalHome page
W. S. Hlavacek, J. R. Faeder, M. L. Blinov, R. G. Posner, M. Hucka, and W. Fontana
Rules for Modeling Signal-Transduction Systems
Sci. Signal., July 18, 2006; 2006(344): re6 - re6.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2005 by the Biophysical Society.