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Mass spectrometric protein maps for biomarker discovery and clinical research
Among the wide range of proteomic technologies, targeted mass spectrometry (MS) has shown great potential for biomarker studies. To extend the degree of multiplexing achieved by selected reaction monitoring (SRM), we recently developed SWATH MS. SWATH MS is a variant of the emerging class of data-in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Informa UK, Ltd.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833812/ https://www.ncbi.nlm.nih.gov/pubmed/24138574 http://dx.doi.org/10.1586/14737159.2013.845089 |
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author | Liu, Yansheng Hüttenhain, Ruth Collins, Ben Aebersold, Ruedi |
author_facet | Liu, Yansheng Hüttenhain, Ruth Collins, Ben Aebersold, Ruedi |
author_sort | Liu, Yansheng |
collection | PubMed |
description | Among the wide range of proteomic technologies, targeted mass spectrometry (MS) has shown great potential for biomarker studies. To extend the degree of multiplexing achieved by selected reaction monitoring (SRM), we recently developed SWATH MS. SWATH MS is a variant of the emerging class of data-independent acquisition (DIA) methods and essentially converts the molecules in a physical sample into perpetually re-usable digital maps. The thus generated SWATH maps are then mined using a targeted data extraction strategy, allowing us to profile disease-related proteomes at a high degree of reproducibility. The successful application of both SRM and SWATH MS requires the a priori generation of reference spectral maps that provide coordinates for quantification. Herein, we demonstrate that the application of the mass spectrometric reference maps and the acquisition of personalized SWATH maps hold a particular promise for accelerating the current process of biomarker discovery. |
format | Online Article Text |
id | pubmed-3833812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Informa UK, Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38338122013-11-22 Mass spectrometric protein maps for biomarker discovery and clinical research Liu, Yansheng Hüttenhain, Ruth Collins, Ben Aebersold, Ruedi Expert Rev Mol Diagn Review Among the wide range of proteomic technologies, targeted mass spectrometry (MS) has shown great potential for biomarker studies. To extend the degree of multiplexing achieved by selected reaction monitoring (SRM), we recently developed SWATH MS. SWATH MS is a variant of the emerging class of data-independent acquisition (DIA) methods and essentially converts the molecules in a physical sample into perpetually re-usable digital maps. The thus generated SWATH maps are then mined using a targeted data extraction strategy, allowing us to profile disease-related proteomes at a high degree of reproducibility. The successful application of both SRM and SWATH MS requires the a priori generation of reference spectral maps that provide coordinates for quantification. Herein, we demonstrate that the application of the mass spectrometric reference maps and the acquisition of personalized SWATH maps hold a particular promise for accelerating the current process of biomarker discovery. Informa UK, Ltd. 2013-11 2013-10-24 /pmc/articles/PMC3833812/ /pubmed/24138574 http://dx.doi.org/10.1586/14737159.2013.845089 Text en © Informa UK, Ltd. |
spellingShingle | Review Liu, Yansheng Hüttenhain, Ruth Collins, Ben Aebersold, Ruedi Mass spectrometric protein maps for biomarker discovery and clinical research |
title | Mass spectrometric protein maps for biomarker discovery and clinical research |
title_full | Mass spectrometric protein maps for biomarker discovery and clinical research |
title_fullStr | Mass spectrometric protein maps for biomarker discovery and clinical research |
title_full_unstemmed | Mass spectrometric protein maps for biomarker discovery and clinical research |
title_short | Mass spectrometric protein maps for biomarker discovery and clinical research |
title_sort | mass spectrometric protein maps for biomarker discovery and clinical research |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833812/ https://www.ncbi.nlm.nih.gov/pubmed/24138574 http://dx.doi.org/10.1586/14737159.2013.845089 |
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