System level dynamics of post-translational modifications
Author(s)
White, Forest M.; Gajadhar, Aaron
DownloadWhite_System level.pdf (101.1Kb)
PUBLISHER_CC
Publisher with Creative Commons License
Creative Commons Attribution
Terms of use
Metadata
Show full item recordAbstract
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.
Date issued
2014-01Department
Massachusetts Institute of Technology. Department of Biological Engineering; Koch Institute for Integrative Cancer Research at MITJournal
Current Opinion in Biotechnology
Publisher
Elsevier
Citation
Gajadhar, Aaron S, and Forest M White. “System Level Dynamics of Post-Translational Modifications.” Current Opinion in Biotechnology 28 (August 2014): 83–87.
Version: Author's final manuscript
ISSN
09581669