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Document Type
Journal ArticlePublication Date
2015-08-03Keywords
Biochemistry, Biophysics, and Structural BiologyGenetics and Genomics
Molecular Biology
Systems Biology
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In the gulf between genotype and phenotype exists proteins and, in particular, protein signal transduction systems. These systems use a relatively limited parts list to respond to a much longer list of extracellular, environmental, and/or mechanical cues with rapidity and specificity. Most signaling networks function in a highly nonlinear and often contextual manner. Furthermore, these processes occur dynamically across space and time. Because of these complexities, systems and "OMIC" approaches are essential for the study of signal transduction. One challenge in using OMIC-scale approaches to study signaling is that the "signal" can take different forms in different situations. Signals are encoded in diverse ways such as protein-protein interactions, enzyme activities, localizations, or post-translational modifications to proteins. Furthermore, in some cases signals may be encoded only in the dynamics, duration, or rates of change of these features. Accordingly, systems-level analyses of signaling may need to integrate multiple experimental and/or computational approaches. As the field has progressed, the non-triviality of integrating experimental and computational analyses has become apparent. Successful use of OMIC methods to study signaling will require the "right" experiments and the "right" modeling approaches, and it is critical to consider both in the design phase of the project. In this review, we discuss common OMIC and modeling approaches for studying signaling, emphasizing the philosophical and practical considerations for effectively merging these two types of approaches to maximize the probability of obtaining reliable and novel insights into signaling biology.Source
J Mol Biol. 2015 Aug 3. pii: S0022-2836(15)00423-4. doi: 10.1016/j.jmb.2015.07.021. [Epub ahead of print] Link to article on publisher's siteDOI
10.1016/j.jmb.2015.07.021Permanent Link to this Item
http://hdl.handle.net/20.500.14038/49943PubMed ID
26244521Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1016/j.jmb.2015.07.021