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Integrating proteomics with electrochemistry for identifying kinase biomarkers
We present an integrated approach for highly sensitive identification and validation of substrate-specific kinases as cancer biomarkers. Our approach combines phosphoproteomics for high throughput cancer-related biomarker discovery from patient tissues and an impedimetric kinase activity biosensor f...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5667508/ https://www.ncbi.nlm.nih.gov/pubmed/29142712 http://dx.doi.org/10.1039/c5sc00560d |
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author | Amit, Einav Obena, Rofeamor Wang, Yi-Ting Zhuravel, Roman Reyes, Aaron James F. Elbaz, Shir Rotem, Dvir Porath, Danny Friedler, Assaf Chen, Yu-Ju Yitzchaik, Shlomo |
author_facet | Amit, Einav Obena, Rofeamor Wang, Yi-Ting Zhuravel, Roman Reyes, Aaron James F. Elbaz, Shir Rotem, Dvir Porath, Danny Friedler, Assaf Chen, Yu-Ju Yitzchaik, Shlomo |
author_sort | Amit, Einav |
collection | PubMed |
description | We present an integrated approach for highly sensitive identification and validation of substrate-specific kinases as cancer biomarkers. Our approach combines phosphoproteomics for high throughput cancer-related biomarker discovery from patient tissues and an impedimetric kinase activity biosensor for sensitive validation. Using non-small-cell lung cancer (NSCLC) as a proof-of-concept study, label-free quantitative phosphoproteomic analysis of a pair of cancerous and its adjacent normal tissues revealed 198 phosphoproteins that are over-phosphorylated in NSCLC. Among the differentially regulated phosphorylation sites, the most significant alteration was in residue S165 in the Hepatoma Derived Growth Factor (HDGF) protein. Hence, HDGF was selected as a model system for the electrochemical studies. Further motif-based analysis of this altered phosphorylation site revealed that extracellular-signal-regulated kinase 1/2 (ERK1/2) are most likely to be the corresponding kinases. For validation of the kinase–substrate pair, densely packed peptide monolayers corresponding to the HDGF phosphorylation site were coupled to a gold electrode. Phosphorylation of the monolayer by ERK2 and dephosphorylation by alkaline phosphatase (AP) were detected by electrochemical impedance spectroscopy (EIS) and surface roughness analysis. Compared to other methods for quantification of kinase concentration, this label-free electrochemical assay offers the advantages of ultra-sensitivity as well as higher specificity for the detection of cancer-related kinase–substrate pair. With implementation of multiple kinase–substrate biomarker pairs, we expect this integrated approach to become a high throughput platform for discovery and validation of phosphorylation-mediated biomarkers. |
format | Online Article Text |
id | pubmed-5667508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-56675082017-11-15 Integrating proteomics with electrochemistry for identifying kinase biomarkers Amit, Einav Obena, Rofeamor Wang, Yi-Ting Zhuravel, Roman Reyes, Aaron James F. Elbaz, Shir Rotem, Dvir Porath, Danny Friedler, Assaf Chen, Yu-Ju Yitzchaik, Shlomo Chem Sci Chemistry We present an integrated approach for highly sensitive identification and validation of substrate-specific kinases as cancer biomarkers. Our approach combines phosphoproteomics for high throughput cancer-related biomarker discovery from patient tissues and an impedimetric kinase activity biosensor for sensitive validation. Using non-small-cell lung cancer (NSCLC) as a proof-of-concept study, label-free quantitative phosphoproteomic analysis of a pair of cancerous and its adjacent normal tissues revealed 198 phosphoproteins that are over-phosphorylated in NSCLC. Among the differentially regulated phosphorylation sites, the most significant alteration was in residue S165 in the Hepatoma Derived Growth Factor (HDGF) protein. Hence, HDGF was selected as a model system for the electrochemical studies. Further motif-based analysis of this altered phosphorylation site revealed that extracellular-signal-regulated kinase 1/2 (ERK1/2) are most likely to be the corresponding kinases. For validation of the kinase–substrate pair, densely packed peptide monolayers corresponding to the HDGF phosphorylation site were coupled to a gold electrode. Phosphorylation of the monolayer by ERK2 and dephosphorylation by alkaline phosphatase (AP) were detected by electrochemical impedance spectroscopy (EIS) and surface roughness analysis. Compared to other methods for quantification of kinase concentration, this label-free electrochemical assay offers the advantages of ultra-sensitivity as well as higher specificity for the detection of cancer-related kinase–substrate pair. With implementation of multiple kinase–substrate biomarker pairs, we expect this integrated approach to become a high throughput platform for discovery and validation of phosphorylation-mediated biomarkers. Royal Society of Chemistry 2015-08-01 2015-05-22 /pmc/articles/PMC5667508/ /pubmed/29142712 http://dx.doi.org/10.1039/c5sc00560d Text en This journal is © The Royal Society of Chemistry 2015 http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Chemistry Amit, Einav Obena, Rofeamor Wang, Yi-Ting Zhuravel, Roman Reyes, Aaron James F. Elbaz, Shir Rotem, Dvir Porath, Danny Friedler, Assaf Chen, Yu-Ju Yitzchaik, Shlomo Integrating proteomics with electrochemistry for identifying kinase biomarkers |
title | Integrating proteomics with electrochemistry for identifying kinase biomarkers
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title_full | Integrating proteomics with electrochemistry for identifying kinase biomarkers
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title_fullStr | Integrating proteomics with electrochemistry for identifying kinase biomarkers
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title_full_unstemmed | Integrating proteomics with electrochemistry for identifying kinase biomarkers
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title_short | Integrating proteomics with electrochemistry for identifying kinase biomarkers
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title_sort | integrating proteomics with electrochemistry for identifying kinase biomarkers |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5667508/ https://www.ncbi.nlm.nih.gov/pubmed/29142712 http://dx.doi.org/10.1039/c5sc00560d |
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