System level dynamics of post-translational modifications
Name
White_System level.pdf
Size
101.19 KB
Format
Adobe PDF
Checksum (MD5)
017aed537679dc64eac565e4304a09bc
Author(s)
White, Forest M.
Gajadhar, Aaron
Date Issued
January 2014
Journal
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
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.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.copbio.2013.12.009
