Literature DB >> 33575816

UHPLC-IM-Q-ToFMS analysis of maradolipids, found exclusively in Caenorhabditis elegans dauer larvae.

Michael Witting1,2,3, Ulrike Schmidt4, Hans-Joachim Knölker4.   

Abstract

Lipid identification is one of the current bottlenecks in lipidomics and lipid profiling, especially for novel lipid classes, and requires multidimensional data for correct annotation. We used the combination of chromatographic and ion mobility separation together with data-independent acquisition (DIA) of tandem mass spectrometric data for the analysis of lipids in the biomedical model organism Caenorhabditis elegans. C. elegans reacts to harsh environmental conditions by interrupting its normal life cycle and entering an alternative developmental stage called dauer stage. Dauer larvae show distinct changes in metabolism and morphology to survive unfavorable environmental conditions and are able to survive for a long time without feeding. Only at this developmental stage, dauer larvae produce a specific class of glycolipids called maradolipids. We performed an analysis of maradolipids using ultrahigh performance liquid chromatography-ion mobility spectrometry-quadrupole-time of flight-mass spectrometry (UHPLC-IM-Q-ToFMS) using drift tube ion mobility to showcase how the integration of retention times, collisional cross sections, and DIA fragmentation data can be used for lipid identification. The obtained results show that combination of UHPLC and IM separation together with DIA represents a valuable tool for initial lipid identification. Using this analytical tool, a total of 45 marado- and lysomaradolipids have been putatively identified and 10 confirmed by authentic standards directly from C. elegans dauer larvae lipid extracts without the further need for further purification of glycolipids. Furthermore, we putatively identified two isomers of a lysomaradolipid not known so far.

Entities:  

Keywords:  Caenorhabditis elegans; Ion mobility spectrometry; Lipid identification; Lipidomics

Mesh:

Substances:

Year:  2021        PMID: 33575816      PMCID: PMC7943524          DOI: 10.1007/s00216-021-03172-3

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  22 in total

1.  Maradolipids: diacyltrehalose glycolipids specific to dauer larva in Caenorhabditis elegans.

Authors:  Sider Penkov; Fanny Mende; Vyacheslav Zagoriy; Cihan Erkut; René Martin; Ulrike Pässler; Kai Schuhmann; Dominik Schwudke; Margit Gruner; Jana Mäntler; Thomas Reichert-Müller; Andrej Shevchenko; Hans-Joachim Knölker; Teymuras V Kurzchalia
Journal:  Angew Chem Int Ed Engl       Date:  2010-12-03       Impact factor: 15.336

Review 2.  LIPID MAPS: Serving the next generation of lipid researchers with tools, resources, data, and training.

Authors:  Valerie B O'Donnell; Edward A Dennis; Michael J O Wakelam; Shankar Subramaniam
Journal:  Sci Signal       Date:  2019-01-08       Impact factor: 8.192

3.  ISiCLE: A Quantum Chemistry Pipeline for Establishing in Silico Collision Cross Section Libraries.

Authors:  Sean M Colby; Dennis G Thomas; Jamie R Nuñez; Douglas J Baxter; Kurt R Glaesemann; Joseph M Brown; Meg A Pirrung; Niranjan Govind; Justin G Teeguarden; Thomas O Metz; Ryan S Renslow
Journal:  Anal Chem       Date:  2019-03-06       Impact factor: 6.986

4.  An algorithm to correct saturated mass spectrometry ion abundances for enhanced quantitation and mass accuracy in omic studies.

Authors:  Aivett Bilbao; Bryson C Gibbons; Gordon W Slysz; Kevin L Crowell; Matthew E Monroe; Yehia M Ibrahim; Richard D Smith; Samuel H Payne; Erin S Baker
Journal:  Int J Mass Spectrom       Date:  2017-11-06       Impact factor: 1.986

5.  Metabolomics and lipidomics using traveling-wave ion mobility mass spectrometry.

Authors:  Giuseppe Paglia; Giuseppe Astarita
Journal:  Nat Protoc       Date:  2017-03-16       Impact factor: 13.491

6.  The genetics of Caenorhabditis elegans.

Authors:  S Brenner
Journal:  Genetics       Date:  1974-05       Impact factor: 4.562

7.  LipidCCS: Prediction of Collision Cross-Section Values for Lipids with High Precision To Support Ion Mobility-Mass Spectrometry-Based Lipidomics.

Authors:  Zhiwei Zhou; Jia Tu; Xin Xiong; Xiaotao Shen; Zheng-Jiang Zhu
Journal:  Anal Chem       Date:  2017-08-15       Impact factor: 6.986

8.  Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI).

Authors:  Lloyd W Sumner; Alexander Amberg; Dave Barrett; Michael H Beale; Richard Beger; Clare A Daykin; Teresa W-M Fan; Oliver Fiehn; Royston Goodacre; Julian L Griffin; Thomas Hankemeier; Nigel Hardy; James Harnly; Richard Higashi; Joachim Kopka; Andrew N Lane; John C Lindon; Philip Marriott; Andrew W Nicholls; Michael D Reily; John J Thaden; Mark R Viant
Journal:  Metabolomics       Date:  2007-09       Impact factor: 4.290

Review 9.  Lipidomics from sample preparation to data analysis: a primer.

Authors:  Thomas Züllig; Martin Trötzmüller; Harald C Köfeler
Journal:  Anal Bioanal Chem       Date:  2019-12-10       Impact factor: 4.142

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  2 in total

1.  A Preprocessing Tool for Enhanced Ion Mobility-Mass Spectrometry-Based Omics Workflows.

Authors:  Aivett Bilbao; Bryson C Gibbons; Sarah M Stow; Jennifer E Kyle; Kent J Bloodsworth; Samuel H Payne; Richard D Smith; Yehia M Ibrahim; Erin S Baker; John C Fjeldsted
Journal:  J Proteome Res       Date:  2021-08-12       Impact factor: 4.466

Review 2.  Quo Vadis Caenorhabditis elegans Metabolomics-A Review of Current Methods and Applications to Explore Metabolism in the Nematode.

Authors:  Liesa Salzer; Michael Witting
Journal:  Metabolites       Date:  2021-04-29
  2 in total

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