Kapoore Rahul Vijay, Vaidyanathan Seetharaman
Advanced Biomanufacturing Centre, ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK.
Advanced Biomanufacturing Centre, ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
Philos Trans A Math Phys Eng Sci. 2016 Oct 28;374(2079). doi: 10.1098/rsta.2015.0363.
Metabolome analyses are a suite of analytical approaches that enable us to capture changes in the metabolome (small molecular weight components, typically less than 1500 Da) in biological systems. Mass spectrometry (MS) has been widely used for this purpose. The key challenge here is to be able to capture changes in a reproducible and reliant manner that is representative of the events that take place in vivo Typically, the analysis is carried out in vitro, by isolating the system and extracting the metabolome. MS-based approaches enable us to capture metabolomic changes with high sensitivity and resolution. When developing the technique for different biological systems, there are similarities in challenges and differences that are specific to the system under investigation. Here, we review some of the challenges in capturing quantitative changes in the metabolome with MS based approaches, primarily in microbial and mammalian systems.This article is part of the themed issue 'Quantitative mass spectrometry'.
代谢组分析是一套分析方法，使我们能够捕捉生物系统中代谢组（小分子质量成分，通常小于1500道尔顿）的变化。质谱（MS）已广泛用于此目的。这里的关键挑战是能够以可重复且可靠的方式捕捉变化，这种方式代表体内发生的事件。通常，分析是在体外进行的，通过分离系统并提取代谢组。基于质谱的方法使我们能够以高灵敏度和分辨率捕捉代谢组学变化。在为不同生物系统开发该技术时，存在一些共同的挑战以及特定于所研究系统的差异。在此，我们综述使用基于质谱的方法捕捉代谢组定量变化时面临的一些挑战，主要涉及微生物和哺乳动物系统。本文是主题为“定量质谱”的特刊的一部分。
