@article{40a8b0f78adf4526b855bc8a5e9f49be,
title = "Microarray-based phospho-proteomic profiling of complex biological systems",
abstract = "Protein microarray technology has been successfully used for identifying substrates of purified activated kinases. We used protein microarrays to globally interrogate the effects of PTEN and Akt activity on the phospho-kinome of in vitro and in vivo glioma models and validated results in clinical pathological specimens. Whole cell lysates extracted from tumor samples can be applied to human kinome chip microarrays to profile the global kinase phosphorylation patterns in a high-throughput manner and identify novel substrates inherent to the tumor cell and the interactions with tumor microenvironment. Our findings identify a novel microarray-based method for assessing intracellular signaling events applicable to human oncogenesis and other pathophysiologic states.",
author = "Goodwin, {C. Rory} and Woodard, {Crystal L.} and Xin Zhou and Jianbo Pan and Alessandro Olivi and Shuli Xia and Chetan Bettegowda and Sciubba, {Daniel M.} and Jonathan Pevsner and Heng Zhu and John Laterra",
note = "Funding Information: This work is supported in part by the National Institutes of Health ( RO1 CA129192 and RO1 NS43987 to J.L.) and the United Negro College Fund/Merck Science Initiative , Neurosurgery Research and Education Foundation , and Burroughs Wellcome Fund to C. R. G. Funding Information: We thank Drs. H.-S. Rho and J.-S. Jeong for technical assistance for microarray construction. This work is supported in part by the National Institutes of Health ( RO1 CA129192 and RO1 NS43987 to J.L.) and the United Negro College Fund/Merck Science Initiative , Neurosurgery Research and Education Foundation , and Burroughs Wellcome Fund to C. R. G. Publisher Copyright: {\textcopyright} 2016 The Authors. Published by Elsevier Inc. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2016",
month = apr,
day = "1",
doi = "10.1016/j.tranon.2016.02.001",
language = "English (US)",
volume = "9",
pages = "124--129",
journal = "Translational Oncology",
issn = "1936-5233",
publisher = "Neoplasia Press",
number = "2",
}