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从个体到多器官系统的脂质代谢系统分析。

Systemic analysis of lipid metabolism from individuals to multi-organism systems.

机构信息

Royal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK.

Core Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Keith Day Road, Cambridge, CB2 0QQ, UK.

出版信息

Mol Omics. 2024 Oct 28;20(9):570-583. doi: 10.1039/d4mo00083h.

DOI:10.1039/d4mo00083h
PMID:39246063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11381968/
Abstract

Lipid metabolism is recognised as being central to growth, disease and health. Lipids, therefore, have an important place in current research on globally significant topics such as food security and biodiversity loss. However, answering questions in these important fields of research requires not only identification and measurement of lipids in a wider variety of sample types than ever before, but also hypothesis-driven analysis of the resulting 'big data'. We present a novel pipeline that can collect data from a wide range of biological sample types, taking 1 000 000 lipid measurements per 384 well plate, and analyse the data systemically. We provide evidence of the power of the tool through proof-of-principle studies using edible fish (mackerel, bream, seabass) and colonies of . Bee colonies were found to be more like mini-ecosystems and there was evidence for considerable changes in lipid metabolism in bees through key developmental stages. This is the first report of either high throughput LCMS lipidomics or systemic analysis in individuals, colonies and ecosystems. This novel approach provides new opportunities to analyse metabolic systems at different scales at a level of detail not previously feasible, to answer research questions about societally important topics.

摘要

脂质代谢被认为是生长、疾病和健康的核心。因此,脂质在当前关于全球重要主题的研究中占有重要地位,如食品安全和生物多样性丧失。然而,回答这些重要研究领域的问题不仅需要以前所未有的各种样本类型识别和测量脂质,还需要对由此产生的“大数据”进行假设驱动的分析。我们提出了一种新颖的管道,可以从各种生物样本类型中收集数据,每 384 孔板可采集 100 万个脂质测量值,并对数据进行系统分析。我们通过使用食用鱼(鲭鱼、鲤鱼、鲈鱼)和蜜蜂群体的原理验证研究提供了该工具的强大功能的证据。蜜蜂群体被发现更像是微型生态系统,并且在蜜蜂的关键发育阶段存在脂质代谢发生相当大变化的证据。这是首次在个体、群体和生态系统中报告高通量 LCMS 脂质组学或系统分析。这种新方法提供了在以前不可行的详细程度上在不同尺度上分析代谢系统的新机会,以回答关于对社会重要主题的研究问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/059d5c43c80e/d4mo00083h-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/af118a410075/d4mo00083h-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/af3d33e0f789/d4mo00083h-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/c0807ef4a04f/d4mo00083h-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/059d5c43c80e/d4mo00083h-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/af118a410075/d4mo00083h-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/af3d33e0f789/d4mo00083h-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/c0807ef4a04f/d4mo00083h-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/531d/11381968/059d5c43c80e/d4mo00083h-f4.jpg

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