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. 2014;4(4):25.
doi: 10.7603/s40681-014-0025-y. Epub 2014 Nov 13.

Mass spectrometry-based proteomics in Chest Medicine, Gerontology, and Nephrology: subgroups omics for personalized medicine

Shih-Yi Lin  1 , Wu-Huei Hsu  2 , Cheng-Chieh Lin  3 , Chao-Jung Chen  4
Affiliations

Mass spectrometry-based proteomics in Chest Medicine, Gerontology, and Nephrology: subgroups omics for personalized medicine

Shih-Yi Lin et al. Biomedicine (Taipei). 2014.

Abstract

Mass spectrometry (MS) is currently the most promising tool for studying proteomics to investigate largescale proteins in a specific proteome. Emerging MS-based proteomics is widely applied to decipher complex proteome for discovering potential biomarkers. Given its growing usage in clinical medicine for biomarker discovery to predict, diagnose and confer prognosis, MS-based proteomics can benefit study of personalized medicine. In this review we introduce some fundamental MS theory and MS-based quantitative proteomic approaches as well as several representative clinical MS-based proteomics issues in Chest Medicine, Gerontology, and Nephrology.

Keywords: Chest Medicine;; Gerontology; Mass spectrometry;; Nephrology;; Personalized medicine;; Proteomics;.

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Figures

Fig. 1
Fig. 1
Scan modes of tandem mass spectrometry. (1) Product ion scan: select Q1 precursor ion and scan Q3 production. (2) Selected ion monitoring: select precursor ion in Q1 and monitor one or more fragment ions in Q3. (3) Neutral loss scan: scan all ions in Q1 and select ions with neutral loss in Q3. (4) Precursor ion scan: scan precursor ion in Q1 and select certain fragment ion in Q3, all collision induced dissociation carried out in Q2.
Fig. 2
Fig. 2
Concept and current progress of mass spectrometry-based proteomics in Chest Medicine, Aging and Gerontology, and Nephrology.
See this image and copyright information in PMC

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