Mass spectrometry based lipidomics: an overview of technological platforms.
Mass spectrometry based lipidomics: an overview of technological platforms.
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DOI：
10.3390/metabo2010019
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发表时间：
2012-01-05
期刊：
影响因子：
4.1
通讯作者：
Trötzmüller M
中科院分区：
文献类型：
--
作者：
Köfeler HC;Fauland A;Rechberger GN;Trötzmüller M
在基因组和蛋白质组生命科学革命十年后，新的“组学”领域正在涌现。代谢组包括小分子的实体--通常是由基因和蛋白质调节的催化过程的最终产物--脂体是其脂溶的细分。近年来，脂质不仅被认为是一种储能化合物，而且在各种细胞调节周期中也发挥着重要的作用，因此越来越受到生物医学界的关注。一方面，分析技术的进步，特别是质谱学和色谱学的进步，推动了脂质组学领域的发展，但另一方面，新的生物学问题也推动了分析技术的发展。与相当标准化的基因组或蛋白质组高通量分析方案相比，高度的分子异质性给脂组分析增加了特殊的分析挑战。在这篇综述中，我们将更仔细地看一看各种用于脂肪组学分析的质谱学平台。我们将重点介绍各种实验装置的优点和局限性，如基于“鸟枪式脂质组学”、液质联用(LC-MS)和基质辅助激光解吸电离飞行时间(MALDI-TOF)的方法。我们还将检查可用于数据分析的软件包，这实际上是大多数“组学”工作流程的速度限制步骤。
One decade after the genomic and the proteomic life science revolution, new ‘omics’ fields are emerging. The metabolome encompasses the entity of small molecules—Most often end products of a catalytic process regulated by genes and proteins—with the lipidome being its fat soluble subdivision. Within recent years, lipids are more and more regarded not only as energy storage compounds but also as interactive players in various cellular regulation cycles and thus attain rising interest in the bio-medical community. The field of lipidomics is, on one hand, fuelled by analytical technology advances, particularly mass spectrometry and chromatography, but on the other hand new biological questions also drive analytical technology developments. Compared to fairly standardized genomic or proteomic high-throughput protocols, the high degree of molecular heterogeneity adds a special analytical challenge to lipidomic analysis. In this review, we will take a closer look at various mass spectrometric platforms for lipidomic analysis. We will focus on the advantages and limitations of various experimental setups like ‘shotgun lipidomics’, liquid chromatography—Mass spectrometry (LC-MS) and matrix assisted laser desorption ionization-time of flight (MALDI-TOF) based approaches. We will also examine available software packages for data analysis, which nowadays is in fact the rate limiting step for most ‘omics’ workflows.