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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...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2007
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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. |
format | Text |
id | pubmed-2717808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
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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