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Caenorhabditis elegans deep lipidome profiling by using integrative mass spectrometry acquisitions reveals significantly altered lipid networks

摘要Lipidomics coverage improvement is essential for functional lipid and pathway construction.A powerful approach to discovering organism lipidome is to combine various data acquisitions,such as full scan mass spectrometry(full MS),data-dependent acquisition(DDA),and data-independent acquisition(DIA).Caenorhabditis elegans(C.elegans)is a useful model for discovering toxic-induced metabolism,high-throughput drug screening,and a variety of human disease pathways.To determine the lipidome of C.elegans and investigate lipid disruption from the molecular level to the system biology level,we used integrative data acquisition.The methyl-tert-butyl ether method was used to extract L4 stage C.elegans after exposure to triclosan(TCS),perfluorooctanoic acid,and nanopolystyrene(nPS).Full MS,DDA,and DIA integrations were performed to comprehensively profile the C.elegans lipidome by Q-Exactive Plus MS.All annotated lipids were then analyzed using lipid ontology and pathway analysis.We annotated up to 940 lipids from 20 lipid classes involved in various functions and pathways.The biological in-vestigations revealed that when C.elegans were exposed to nPS,lipid droplets were disrupted,whereas plasma membrane-functionalized lipids were likely to be changed in the TCS treatment group.The nPS treatment caused a significant disruption in lipid storage.Triacylglycerol,glycerophospholipid,and ether class lipids were those primarily hindered by toxicants.Finally,toxicant exposure frequently involved numerous lipid-related pathways,including the phosphoinositide 3-kinase/protein kinase B pathway.In conclusion,an integrative data acquisition strategy was used to characterize the C elegans lipidome,providing valuable biological insights into hypothesis generation and validation.

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作者 Nguyen Hoang Anh [1] Young Cheol Yoon [1] Young Jin Min [1] Nguyen Phuoc Long [1] Cheol Woon Jung [1] Sun Jo Kim [1] Suk Won Kim [1] Eun Goo Lee [1] Daijie Wang [2] Xiao Wang [2] Sung Won Kwon [1] 学术成果认领
作者单位 College of Pharmacy,Seoul National University,Seoul,08826,Republic of Korea [1] School of Pharmaceutical Sciences,Shandong Analysis and Test Center,Qilu University of Technology(Shandong Academy of Sciences),Jinan,250014,China;Biological Engineering Technology Innovation Center of Shandong Province,Heze Branch of Qilu University of Technology(Shandong Academy of Sciences),Heze,Shandong,274000,China [2]
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发布时间 2023-01-12(万方平台首次上网日期,不代表论文的发表时间)
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药物分析学报(英文版)

药物分析学报(英文版)

2022年12卷5期

743-754页

SCIMEDLINEISTICCSCDCA

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