Literature DB >> 33954940

Chemical Derivatization-Aided High Resolution Mass Spectrometry for Shotgun Lipidome Analysis.

Vinzenz Hofferek1, Huaqi Su2,3, Gavin E Reid4,5,6.   

Abstract

Chemical derivatization coupled with nano-electrospray ionization (nESI) and ultra-high resolution accurate mass spectrometry (UHRAMS) is an established approach to overcome isobaric and isomeric mass interference limitations, and improve the analytical performance, of direct-infusion (i.e., "shotgun") lipidome analysis strategies for "sum composition" level identification and quantification of individual lipid species from within complex mixtures. Here, we describe a protocol for sequential functional group selective derivatization of aminophospholipids and O-alk-1'-enyl (i.e., plasmalogen) lipids, that when integrated into a shotgun lipidomics workflow involving deuterium-labeled internal lipid standard addition, monophasic lipid extraction, and nESI-UHRAMS analysis, enables the routine identification and quantification of >500 individual lipid species at the "sum composition" level, across four lipid categories and from >30 lipid classes and subclasses.

Entities:  

Keywords:  Chemical derivatization; Deuterated lipid internal standard; Direct infusion; High resolution mass spectrometry; Lipidomics; Semi-quantitative analysis

Year:  2021        PMID: 33954940     DOI: 10.1007/978-1-0716-1410-5_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  30 in total

Review 1.  The role of bacterial lipid diversity and membrane properties in modulating antimicrobial peptide activity and drug resistance.

Authors:  Tzong-Hsien Lee; Vinzenz Hofferek; Frances Separovic; Gavin E Reid; Marie-Isabel Aguilar
Journal:  Curr Opin Chem Biol       Date:  2019-06-28       Impact factor: 8.822

Review 2.  Plant lipidomics at the crossroads: From technology to biology driven science.

Authors:  Vladimir Shulaev; Kent D Chapman
Journal:  Biochim Biophys Acta Mol Cell Biol Lipids       Date:  2017-02-24       Impact factor: 4.698

Review 3.  Dysregulation of lipids in Alzheimer's disease and their role as potential biomarkers.

Authors:  Matthew W Wong; Nady Braidy; Anne Poljak; Russell Pickford; Madhav Thambisetty; Perminder S Sachdev
Journal:  Alzheimers Dement       Date:  2017-02-24       Impact factor: 21.566

Review 4.  The Heterogeneity of Lipid Metabolism in Cancer.

Authors:  Joshua K Park; Nathan J Coffey; Aaron Limoges; Anne Le
Journal:  Adv Exp Med Biol       Date:  2018       Impact factor: 2.622

Review 5.  Lipidomics: Current state of the art in a fast moving field.

Authors:  Valerie B O'Donnell; Kim Ekroos; Gerhard Liebisch; Michael Wakelam
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2019-10-23

Review 6.  Lipidomic Profiles in Diabetes and Dementia.

Authors:  Kevin Huynh; Ralph N Martins; Peter J Meikle
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

Review 7.  Lipid-based biomarkers for CVD, COPD, and aging - A translational perspective.

Authors:  Kim Ekroos; Oksana Lavrynenko; Bjoern Titz; Calin Pater; Julia Hoeng; Nikolai V Ivanov
Journal:  Prog Lipid Res       Date:  2020-04-25       Impact factor: 16.195

8.  Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids.

Authors:  Lisa M Leung; William E Fondrie; Yohei Doi; J Kristie Johnson; Dudley K Strickland; Robert K Ernst; David R Goodlett
Journal:  Sci Rep       Date:  2017-07-25       Impact factor: 4.379

9.  High-mass-resolution MALDI mass spectrometry imaging reveals detailed spatial distribution of metabolites and lipids in roots of barley seedlings in response to salinity stress.

Authors:  Lenin D Sarabia; Berin A Boughton; Thusitha Rupasinghe; Allison M L van de Meene; Damien L Callahan; Camilla B Hill; Ute Roessner
Journal:  Metabolomics       Date:  2018-04-19       Impact factor: 4.290

Review 10.  Changes in lipids composition and metabolism in colorectal cancer: a review.

Authors:  Alicja Pakiet; Jarosław Kobiela; Piotr Stepnowski; Tomasz Sledzinski; Adriana Mika
Journal:  Lipids Health Dis       Date:  2019-01-26       Impact factor: 3.876

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  1 in total

1.  Multi-Omic Analysis to Characterize Metabolic Adaptation of the E. coli Lipidome in Response to Environmental Stress.

Authors:  Thomas Kralj; Madison Nuske; Vinzenz Hofferek; Marc-Antoine Sani; Tzong-Hsien Lee; Frances Separovic; Marie-Isabel Aguilar; Gavin E Reid
Journal:  Metabolites       Date:  2022-02-11
  1 in total

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