Title | System level dynamics of post-translational modifications. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Gajadhar, AS, White, FM |
Journal | Curr Opin Biotechnol |
Volume | 28C |
Pagination | 83-87 |
Date Published | 2014 Jan 14 |
ISSN | 1879-0429 |
Abstract | Attempts to characterize cellular behaviors with static, univariate measurements cannot fully capture biological complexity and lead to an inadequate interpretation of cellular processes. Significant biological insight can be gleaned by considering the contribution of dynamic protein post-translational modifications (PTMs) utilizing systems-level quantitative analysis. High-resolution mass spectrometry coupled with computational modeling of dynamic signal-response relationships is a powerful tool to reveal PTM-mediated regulatory networks. Recent advances using this approach have defined network kinetics of growth factor signaling pathways, identified systems level responses to cytotoxic perturbations, elucidated kinase-substrate relationships, and unraveled the dynamics of PTM cross-talk. Innovations in multiplex measurement capacity, PTM annotation accuracy, and computational integration of datasets promise enhanced resolution of dynamic PTM networks and further insight into biological intricacies. |
DOI | 10.1016/j.copbio.2013.12.009 |
Alternate Journal | Curr. Opin. Biotechnol. |
PubMed ID | 24441143 |
Grant List | U54 CA112967 / CA / NCI NIH HHS / United States |