Metabolomics and lipidomics in Caenorhabditis elegans using a single-sample preparation

被引：29
|
作者：
Molenaars, Marte [1 ,5 ]
V. Schomakers, Bauke [1 ,2 ]
Elfrink, Hyung L. [1 ,2 ]
Gao, Arwen W. [1 ,6 ]
Vervaart, Martin A. T. [1 ,2 ]
Pras-Raves, Mia L. [1 ,2 ,3 ]
Luyf, Angela C. [3 ]
Smith, Reuben L. [1 ]
Sterken, Mark G. [4 ]
Kammenga, Jan E. [4 ]
van Kampen, Antoine H. C. [3 ]
Janssens, Georges E. [1 ]
Vaz, Frederic M. [1 ,2 ]
van Weeghel, Michel [1 ,2 ]
Houtkooper, Riekelt H. [1 ]
机构：
[1] Univ Amsterdam, Amsterdam UMC, Lab Genet Metab Dis, Meibergdreef 9, NL-1105 AZ Amsterdam, Netherlands
[2] Univ Amsterdam, Amsterdam UMC, Core Facil Metabol, Meibergdreef 9, NL-1105 AZ Amsterdam, Netherlands
[3] Amsterdam Publ Hlth Res Inst, Bioinformat Lab, NL-1105 AZ Amsterdam, Netherlands
[4] Wageningen Univ & Res, Lab Nematol, Droevendaalsesteeg 1, NL-6708 PB Wageningen, Netherlands
[5] New York Univ, Sch Med, Dept Pathol, New York, NY 10016 USA
[6] Ecole Polytech Federale Lausanne, Inst Bioengn, Lab Integrat Syst Physiol, CH-1015 Lausanne, Switzerland
来源：
DISEASE MODELS & MECHANISMS | 2021年 / 14卷 / 04期
基金：
欧洲研究理事会;
关键词：
C; elegans; Lipidomics; Metabolism; Metabolomics; MODEL ORGANISM; C; ELEGANS; METABOLISM; CARDIOLIPIN; SIGNATURE; NETWORKS; PATHWAYS; SUBUNIT; MDT-15; SREBP;
D O I：
10.1242/dmm.047746
中图分类号：
Q2 [细胞生物学];
学科分类号：
071009 ; 090102 ;
摘要：
Comprehensive metabolomic and lipidomic mass spectrometr y methods are in increasing demand; for instance, in research related to nutrition and aging. The nematode Caenorhabditis elegans is a key model organism in these fields, owing to the large repositor y of available C elegans mutants and their convenient natural lifespan. Here, we describe a robust and sensitive analytical method for the semi-quantitative analysis of >100 polar (metabolomics) and >1000 apolar (lipidomics) metabolites in C elegans, using a single-sample preparation. Our method is capable of reliably detecting a wide variety of biologically relevant metabolic aberrations in, for example, glycolysis and the tricarboxylic acid cycle, pyrimidine metabolism and complex lipid biosynthesis. In conclusion, we provide a powerful analytical tool that maximizes metabolic data yield from a single sample. This article has an associated First Person interview with the joint first authors of the paper.
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页数：12
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