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  5. Identification of Extracellular Signal-regulated Kinase 1 (ERK1) Direct Substrates using Stable Isotope Labeled Kinase Assay-Linked Phosphoproteomics

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Article
en
2014

Identification of Extracellular Signal-regulated Kinase 1 (ERK1) Direct Substrates using Stable Isotope Labeled Kinase Assay-Linked Phosphoproteomics

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en
2014
Vol 13 (11)
Vol. 13
DOI: 10.1074/mcp.o114.038588

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Jian Kang Zhu
Jian Kang Zhu

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Liang Xue
Pengcheng Wang
Pianpian Cao
+2 more

Abstract

Kinase mediated phosphorylation signaling is extensively involved in cellular functions and human diseases, and unraveling phosphorylation networks requires the identification of substrates targeted by kinases, which has remained challenging. We report here a novel proteomic strategy to identify the specificity and direct substrates of kinases by coupling phosphoproteomics with a sensitive stable isotope labeled kinase reaction. A whole cell extract was moderately dephosphorylated and subjected to in vitro kinase reaction under the condition in which (18)O-ATP is the phosphate donor. The phosphorylated proteins are then isolated and identified by mass spectrometry, in which the heavy phosphate (+85.979 Da) labeled phosphopeptides reveal the kinase specificity. The in vitro phosphorylated proteins with heavy phosphates are further overlapped with in vivo kinase-dependent phosphoproteins for the identification of direct substrates with high confidence. The strategy allowed us to identify 46 phosphorylation sites on 38 direct substrates of extracellular signal-regulated kinase 1, including multiple known substrates and novel substrates, highlighting the ability of this high throughput method for direct kinase substrate screening.

How to cite this publication

Liang Xue, Pengcheng Wang, Pianpian Cao, Jian Kang Zhu, W. Andy Tao (2014). Identification of Extracellular Signal-regulated Kinase 1 (ERK1) Direct Substrates using Stable Isotope Labeled Kinase Assay-Linked Phosphoproteomics. , 13(11), DOI: https://doi.org/10.1074/mcp.o114.038588.

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Publication Details

Type

Article

Year

2014

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1074/mcp.o114.038588

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