Microarray-based phospho-proteomic profiling of complex biological systems

C. Rory Goodwin; Crystal L. Woodard; Xin Zhou; Jianbo Pan; Alessandro Olivi; Shuli Xia; Chetan Bettegowda; Daniel M. Sciubba; Jonathan Pevsner; Heng Zhu; John Laterra

doi:10.1016/j.tranon.2016.02.001

Microarray-based phospho-proteomic profiling of complex biological systems

C. Rory Goodwin, Crystal L. Woodard, Xin Zhou, Jianbo Pan, Alessandro Olivi, Shuli Xia, Chetan Bettegowda, Daniel M. Sciubba, Jonathan Pevsner, Heng Zhu, John Laterra

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	124-129
Number of pages	6
Journal	Translational Oncology
Volume	9
Issue number	2
DOIs	https://doi.org/10.1016/j.tranon.2016.02.001
State	Published - Apr 1 2016

ASJC Scopus subject areas

Oncology
Cancer Research

Access to Document

10.1016/j.tranon.2016.02.001

Cite this

Microarray-based phospho-proteomic profiling of complex biological systems. / Goodwin, C. Rory; Woodard, Crystal L.; Zhou, Xin; Pan, Jianbo; Olivi, Alessandro; Xia, Shuli ; Bettegowda, Chetan ; Sciubba, Daniel M.; Pevsner, Jonathan ; Zhu, Heng ; Laterra, John.

In: Translational Oncology, Vol. 9, No. 2, 01.04.2016, p. 124-129.

Research output: Contribution to journal › Article › peer-review

@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. Publisher Copyright: {\textcopyright} 2016 The Authors. Published by Elsevier Inc.",

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",

}

TY - JOUR

T1 - Microarray-based phospho-proteomic profiling of complex biological systems

AU - Goodwin, C. Rory

AU - Woodard, Crystal L.

AU - Zhou, Xin

AU - Pan, Jianbo

AU - Olivi, Alessandro

AU - Xia, Shuli

AU - Bettegowda, Chetan

AU - Sciubba, Daniel M.

AU - Pevsner, Jonathan

AU - Zhu, Heng

AU - Laterra, John

N1 - 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. Publisher Copyright: © 2016 The Authors. Published by Elsevier Inc.

PY - 2016/4/1

Y1 - 2016/4/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84963616109&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963616109&partnerID=8YFLogxK

U2 - 10.1016/j.tranon.2016.02.001

DO - 10.1016/j.tranon.2016.02.001

M3 - Article

C2 - 27084428

AN - SCOPUS:84963616109

VL - 9

SP - 124

EP - 129

JO - Translational Oncology

JF - Translational Oncology

SN - 1936-5233

IS - 2

ER -

Microarray-based phospho-proteomic profiling of complex biological systems

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this