MS1 ion current‐based quantitative proteomics: A promising solution for reliable analysis of large biological cohorts. Issue 6 (28th March 2019)

• Record Type: Journal Article
• Authors: Wang, Xue; Shen, Shichen; Rasam, Sailee Suryakant; Qu, Jun
• Is Part Of: Mass spectrometry reviews. Volume 38:Issue 6(2019)
• Page Start: 461
• Page End: 482
• Publication Date: 2019-03-28
• Subjects: MS1 quantification -- ion current‐based proteomics -- LC‐MS -- reproducible protein measurement -- large cohorts; Mass spectrometry -- Periodicals; 543
• DOI: 10.1002/mas.21595
• Languages: English
• ISSNs: 0277-7037

Abstract

Abstract : The rapidly‐advancing field of pharmaceutical and clinical research calls for systematic, molecular‐level characterization of complex biological systems. To this end, quantitative proteomics represents a powerful tool but an optimal solution for reliable large‐cohort proteomics analysis, as frequently involved in pharmaceutical/clinical investigations, is urgently needed. Large‐cohort analysis remains challenging owing to the deteriorating quantitative quality and snowballing missing data and false‐positive discovery of altered proteins when sample size increases. MS1 ion current‐based methods, which have become an important class of label‐free quantification techniques during the past decade, show considerable potential to achieve reproducible protein measurements in large cohorts with high quantitative accuracy/precision. Nonetheless, in order to fully unleash this potential, several critical prerequisites should be met. Here we provide an overview of the rationale of MS1‐based strategies and then important considerations for experimental and data processing techniques, with the emphasis on (i) efficient and reproducible sample preparation and LC separation; (ii) sensitive, selective and high‐resolution MS detection; iii)accurate chromatographic alignment; (iv) sensitive and selective generation of quantitative features; and (v) optimal post‐feature‐generation data quality control. Prominent technical developments in these aspects are discussed. Finally, we reviewed applications of MS1‐based strategy in disease mechanism studies, biomarker discovery, and pharmaceutical investigations.