Literature DB >> 28660581

LC-MS-Based Lipidomics and Automated Identification of Lipids Using the LipidBlast In-Silico MS/MS Library.

Tomas Cajka1, Oliver Fiehn2,3.   

Abstract

This protocol describes the analysis, specifically the identification, of blood plasma lipids. Plasma lipids are extracted using methyl tert-butyl ether (MTBE), methanol, and water followed by separation and data acquisition of isolated lipids using reversed-phase liquid chromatography coupled to quadrupole/time-of-flight mass spectrometry (RPLC-QTOFMS) operated in MS/MS mode. For lipid identification, acquired MS/MS spectra are converted to the mascot generic format (MGF) followed by library search using the in-silico MS/MS library LipidBlast. Using this approach, lipid classes, carbon-chain lengths, and degree of unsaturation of fatty-acid components are annotated.

Entities:  

Keywords:  Identification; LipidBlast; Lipidomics; Lipids; Liquid chromatography–mass spectrometry; Tandem mass spectrometry

Mesh:

Substances:

Year:  2017        PMID: 28660581     DOI: 10.1007/978-1-4939-6996-8_14

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


  30 in total

1.  Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain.

Authors:  Jia Tu; Yandong Yin; Meimei Xu; Ruohong Wang; Zheng-Jiang Zhu
Journal:  Metabolomics       Date:  2017-11-28       Impact factor: 4.290

2.  Primed mesenchymal stem cells package exosomes with metabolites associated with immunomodulation.

Authors:  Megan R Showalter; Benjamin Wancewicz; Oliver Fiehn; Joehleen A Archard; Shannon Clayton; Joseph Wagner; Peter Deng; Julian Halmai; Kyle D Fink; Gerhard Bauer; Brian Fury; Nicholas H Perotti; Michelle Apperson; Janelle Butters; Peter Belafsky; Gregory Farwell; Maggie Kuhn; Jan A Nolta; Johnathon D Anderson
Journal:  Biochem Biophys Res Commun       Date:  2019-03-26       Impact factor: 3.575

3.  Ultrahigh-Performance capillary liquid chromatography-mass spectrometry at 35 kpsi for separation of lipids.

Authors:  Matthew J Sorensen; Kelsey E Miller; James W Jorgenson; Robert T Kennedy
Journal:  J Chromatogr A       Date:  2019-09-26       Impact factor: 4.759

Review 4.  Lipidomics in Biomarker Research.

Authors:  Thorsten Hornemann
Journal:  Handb Exp Pharmacol       Date:  2022

5.  High-throughput liquid chromatography mass-spectrometry-driven lipidomics discover metabolic biomarkers and pathways as promising targets to reveal the therapeutic effects of the Shenqi pill.

Authors:  Wen-Xiu Li; Ai-Hua Zhang; Xiao-Hang Zhou; Yang Nan; Qi Liu; Hui Sun; Heng Fang; Xi-Jun Wang
Journal:  RSC Adv       Date:  2020-01-13       Impact factor: 4.036

6.  In-depth triacylglycerol profiling using MS3 Q-Trap mass spectrometry.

Authors:  Matias Cabruja; Josefina Priotti; Pablo Domizi; Katharina Papsdorf; Deanna L Kroetz; Anne Brunet; Kévin Contrepois; Michael P Snyder
Journal:  Anal Chim Acta       Date:  2021-09-03       Impact factor: 6.911

7.  Metabolic View on Human Healthspan: A Lipidome-Wide Association Study.

Authors:  Justin Carrard; Hector Gallart-Ayala; Denis Infanger; Tony Teav; Jonathan Wagner; Raphael Knaier; Flora Colledge; Lukas Streese; Karsten Königstein; Timo Hinrichs; Henner Hanssen; Julijana Ivanisevic; Arno Schmidt-Trucksäss
Journal:  Metabolites       Date:  2021-04-30

8.  A lipidome-wide association study of the lipoprotein insulin resistance index.

Authors:  Minoo Bagheri; Hemant K Tiwari; Anarina L Murillo; Rafet Al-Tobasei; Donna K Arnett; Tobias Kind; Dinesh Kumar Barupal; Sili Fan; Oliver Fiehn; Jeff O'connell; May Montasser; Stella Aslibekyan; Marguerite R Irvin
Journal:  Lipids Health Dis       Date:  2020-06-25       Impact factor: 3.876

9.  Predicting changes in renal metabolism after compound exposure with a genome-scale metabolic model.

Authors:  Kristopher D Rawls; Bonnie V Dougherty; Kalyan C Vinnakota; Venkat R Pannala; Anders Wallqvist; Glynis L Kolling; Jason A Papin
Journal:  Toxicol Appl Pharmacol       Date:  2020-12-31       Impact factor: 4.219

10.  Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers.

Authors:  Megan M Bernath; Sudeepa Bhattacharyya; Kwangsik Nho; Dinesh Kumar Barupal; Oliver Fiehn; Rebecca Baillie; Shannon L Risacher; Matthias Arnold; Tanner Jacobson; John Q Trojanowski; Leslie M Shaw; Michael W Weiner; P Murali Doraiswamy; Rima Kaddurah-Daouk; Andrew J Saykin
Journal:  Neurology       Date:  2020-05-01       Impact factor: 11.800

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