Profiling the dynamics of a human phosphorylome reveals new components in HGF/c-Met signaling.

Journal Article (Journal Article)

Protein phosphorylation is a dynamic and reversible event that greatly influences cellular function. Identifying the key regulatory elements that determine cellular phenotypes during development and oncogenesis requires the ability to dynamically monitor proteome-wide events. Here, we report the development of a new strategy to monitor dynamic changes of protein phosphorylation in cells and tissues using functional protein microarrays as the readout. To demonstrate this technology's ability to identify condition-dependent phosphorylation events, human protein microarrays were incubated with lysates from cells or tissues under activation or inhibition of c-Met, a receptor tyrosine kinase involved in tissue morphogenesis and malignancy. By comparing the differences between the protein phosphorylation profiles obtained using the protein microarrays, we were able to recover many of the proteins that are known to be specifically activated (i.e., phosphorylated) upon c-Met activation by the hepatocyte growth factor (HGF). Most importantly, we discovered many proteins that were differentially phosphorylated by lysates from cells or tissues when the c-Met pathway was active. Using phosphorylation-specific antibodies, we were able to validate several candidate proteins as new downstream components of the c-Met signaling pathway in cells. We envision that this new approach, like its DNA microarray counterpart, can be further extended toward profiling dynamics of global protein phosphorylation under many different physiological conditions both in cellulo and in vivo in a high-throughput and cost-effective fashion.

Full Text

Duke Authors

Cited Authors

  • Woodard, CL; Goodwin, CR; Wan, J; Xia, S; Newman, R; Hu, J; Zhang, J; Hayward, SD; Qian, J; Laterra, J; Zhu, H

Published Date

  • 2013

Published In

Volume / Issue

  • 8 / 9

Start / End Page

  • e72671 -

PubMed ID

  • 24023761

Pubmed Central ID

  • PMC3759380

Electronic International Standard Serial Number (EISSN)

  • 1932-6203

Digital Object Identifier (DOI)

  • 10.1371/journal.pone.0072671


  • eng

Conference Location

  • United States