Complementing genomics and transcriptomics: Phosphoproteomics illuminates systems biology in prostate cancer

Victor M. Tan; Larry C. Cheng; Justin M. Drake

doi:10.1080/23723556.2016.1246075

Complementing genomics and transcriptomics: Phosphoproteomics illuminates systems biology in prostate cancer

Victor M. Tan, Larry C. Cheng, Justin M. Drake

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

4 Scopus citations

Abstract

Integration of phosphoproteomics with traditional genomics and transcriptomics provides a more comprehensive overview of the signaling networks in advanced prostate cancer for immediate preclinical and future clinical use. Our recent publication introduces computational approaches for integrating the phosphoproteome, specifically with the intent of identifying important kinase signaling networks in advanced-stage prostate cancer.

Original language	English (US)
Article number	e1246075
Journal	Molecular and Cellular Oncology
Volume	3
Issue number	6
DOIs	https://doi.org/10.1080/23723556.2016.1246075
State	Published - Nov 1 2016
Externally published	Yes

Bibliographical note

Funding Information:
LCC is supported by the National Institute of General Medical Sciences of the National Institutes of Health under award number T32 GM008339. JMD is supported by the Department of Defense Prostate Cancer Research Program W81XWH-15-1-0236, Prostate Cancer Foundation Young Investigator Award, and by a grant from the New Jersey Health Foundation.

Keywords

Castration-resistant prostate cancer
kinases
phosphoproteomics
precision medicine
systems biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/23723556.2016.1246075

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title = "Complementing genomics and transcriptomics: Phosphoproteomics illuminates systems biology in prostate cancer",

abstract = "Integration of phosphoproteomics with traditional genomics and transcriptomics provides a more comprehensive overview of the signaling networks in advanced prostate cancer for immediate preclinical and future clinical use. Our recent publication introduces computational approaches for integrating the phosphoproteome, specifically with the intent of identifying important kinase signaling networks in advanced-stage prostate cancer.",

keywords = "Castration-resistant prostate cancer, kinases, phosphoproteomics, precision medicine, systems biology",

author = "Tan, {Victor M.} and Cheng, {Larry C.} and Drake, {Justin M.}",

note = "Funding Information: LCC is supported by the National Institute of General Medical Sciences of the National Institutes of Health under award number T32 GM008339. JMD is supported by the Department of Defense Prostate Cancer Research Program W81XWH-15-1-0236, Prostate Cancer Foundation Young Investigator Award, and by a grant from the New Jersey Health Foundation.",

year = "2016",

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doi = "10.1080/23723556.2016.1246075",

language = "English (US)",

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journal = "Molecular and Cellular Oncology",

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T2 - Phosphoproteomics illuminates systems biology in prostate cancer

AU - Tan, Victor M.

AU - Cheng, Larry C.

AU - Drake, Justin M.

N1 - Funding Information: LCC is supported by the National Institute of General Medical Sciences of the National Institutes of Health under award number T32 GM008339. JMD is supported by the Department of Defense Prostate Cancer Research Program W81XWH-15-1-0236, Prostate Cancer Foundation Young Investigator Award, and by a grant from the New Jersey Health Foundation.

PY - 2016/11/1

Y1 - 2016/11/1

N2 - Integration of phosphoproteomics with traditional genomics and transcriptomics provides a more comprehensive overview of the signaling networks in advanced prostate cancer for immediate preclinical and future clinical use. Our recent publication introduces computational approaches for integrating the phosphoproteome, specifically with the intent of identifying important kinase signaling networks in advanced-stage prostate cancer.

AB - Integration of phosphoproteomics with traditional genomics and transcriptomics provides a more comprehensive overview of the signaling networks in advanced prostate cancer for immediate preclinical and future clinical use. Our recent publication introduces computational approaches for integrating the phosphoproteome, specifically with the intent of identifying important kinase signaling networks in advanced-stage prostate cancer.

KW - Castration-resistant prostate cancer

KW - kinases

KW - phosphoproteomics

KW - precision medicine

KW - systems biology

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DO - 10.1080/23723556.2016.1246075

M3 - Article

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VL - 3

JO - Molecular and Cellular Oncology

JF - Molecular and Cellular Oncology

IS - 6

M1 - e1246075

ER -

Complementing genomics and transcriptomics: Phosphoproteomics illuminates systems biology in prostate cancer

Abstract

Bibliographical note

Keywords

UN SDGs

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