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Proteomics and Mass Spectrometry for Cancer Biomarker Discovery

Proteomics is a rapidly advancing field not only in the field of biology but also in translational cancer research. In recent years, mass spectrometry and associated technologies have been explored to identify proteins or a set of proteins specific to a given disease, for the purpose of disease dete...

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Detalles Bibliográficos
Autores principales: Lu, Ming, Faull, Kym F., Whitelegge, Julian P., He, Jianbo, Shen, Dejun, Saxton, Romaine E., Chang, Helena R.
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717808/
https://www.ncbi.nlm.nih.gov/pubmed/19662217
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author Lu, Ming
Faull, Kym F.
Whitelegge, Julian P.
He, Jianbo
Shen, Dejun
Saxton, Romaine E.
Chang, Helena R.
author_facet Lu, Ming
Faull, Kym F.
Whitelegge, Julian P.
He, Jianbo
Shen, Dejun
Saxton, Romaine E.
Chang, Helena R.
author_sort Lu, Ming
collection PubMed
description Proteomics is a rapidly advancing field not only in the field of biology but also in translational cancer research. In recent years, mass spectrometry and associated technologies have been explored to identify proteins or a set of proteins specific to a given disease, for the purpose of disease detection and diagnosis. Such biomarkers are being investigated in samples including cells, tissues, serum/plasma, and other types of body fluids. When sufficiently refined, proteomic technologies may pave the way for early detection of cancer or individualized therapy for cancer. Mass spectrometry approaches coupled with bioinformatic tools are being developed for biomarker discovery and validation. Understanding basic concepts and application of such technology by investigators in the field may accelerate the clinical application of protein biomarkers in disease management.
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spelling pubmed-27178082009-08-06 Proteomics and Mass Spectrometry for Cancer Biomarker Discovery Lu, Ming Faull, Kym F. Whitelegge, Julian P. He, Jianbo Shen, Dejun Saxton, Romaine E. Chang, Helena R. Biomark Insights Original Research Proteomics is a rapidly advancing field not only in the field of biology but also in translational cancer research. In recent years, mass spectrometry and associated technologies have been explored to identify proteins or a set of proteins specific to a given disease, for the purpose of disease detection and diagnosis. Such biomarkers are being investigated in samples including cells, tissues, serum/plasma, and other types of body fluids. When sufficiently refined, proteomic technologies may pave the way for early detection of cancer or individualized therapy for cancer. Mass spectrometry approaches coupled with bioinformatic tools are being developed for biomarker discovery and validation. Understanding basic concepts and application of such technology by investigators in the field may accelerate the clinical application of protein biomarkers in disease management. Libertas Academica 2007-10-03 /pmc/articles/PMC2717808/ /pubmed/19662217 Text en © 2007 by the authors http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Original Research
Lu, Ming
Faull, Kym F.
Whitelegge, Julian P.
He, Jianbo
Shen, Dejun
Saxton, Romaine E.
Chang, Helena R.
Proteomics and Mass Spectrometry for Cancer Biomarker Discovery
title Proteomics and Mass Spectrometry for Cancer Biomarker Discovery
title_full Proteomics and Mass Spectrometry for Cancer Biomarker Discovery
title_fullStr Proteomics and Mass Spectrometry for Cancer Biomarker Discovery
title_full_unstemmed Proteomics and Mass Spectrometry for Cancer Biomarker Discovery
title_short Proteomics and Mass Spectrometry for Cancer Biomarker Discovery
title_sort proteomics and mass spectrometry for cancer biomarker discovery
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717808/
https://www.ncbi.nlm.nih.gov/pubmed/19662217
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