The SH2 domain map for Insulin, IGF-1 and FGF signaling.
Research by Dr. Piers Nash and colleagues published in BioMed Central's open access journal Cell Communication and Signaling describes a large set of interactions (interactome) which maps the range of phosphotyrosine (pTyr)-dependent interactions with SH2 domains underlying insulin (Ins), insulin-like growth factor-1 (IGF-1) and fibroblast growth factor (FGF) signaling pathways.
Every cell in our body is an immensely powerful computational device capable of integrating vast amounts of data from intrinsic and extrinsic cues and responding with remarkable fidelity. What underlies this computational power are not static wires, but dynamic interactions that leverage the finite number of genes to generate an almost infinite number of combinatorial interactions between protein components. In the post-genomics era, mapping these interactions represents a next frontier. The sum total of all permitted interactions is referred to as the potential interactome. In any given cell, only a subset of potential interactions will be enabled and this defines the selective differences in signalling between tissues. Understanding the whole provides insight into the information processing power of the system and may suggest new avenues for therapeutic intervention to treat diseases caused by faults in signal processing mechanisms. This study outlines the potential interactome for initial signalling events from the insulin receptor, insulin-like growth factor receptor and all four members of the fibroblast growth factor receptor family. These systems are essential for human development and dysfunctional signalling has been implicated in a wide range of human diseases including diabetes, many cancers, Alzheimer's disease, many developmental disorders and even aging. Binary connections are reported between 50 SH2 domain-containing proteins and 192 phosphopeptide nodes on 13 signal-initiating proteins. This verified almost every interaction described in the past 25 years and adds an extensive new data, providing a step towards fathoming the intricacies of differential cell communication between various tissues and disease states.
Cell Communication & Signaling "Highly Accessed":http://www.biosignaling.com/content/10/1/27/abstract
BioMed Central Editor's pick for September 2012: http://www.biomedcentral.comScience Codex top news in science:http://www.sciencecodex.com/charting_the_sh2_pool-98421