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Profiling the Dynamics of a Human Phosphorylome Reveals New Components in HGF/c-Met Signaling
Author(s) -
Crystal Woodard,
C. Rory Goodwin,
Jun Wan,
Shuli Xia,
Robert H. Newman,
Jianfei Hu,
Jin Zhang,
S. Diane Hayward,
Jiang Qian,
John Laterra,
Heng Zhu
Publication year - 2013
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0072671
Subject(s) - phosphorylation , biology , protein phosphorylation , microbiology and biotechnology , dna microarray , signal transduction , proteomics , protein microarray , proteome , carcinogenesis , receptor tyrosine kinase , protein kinase a , bioinformatics , biochemistry , gene expression , gene
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.

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