Literature DB >> 19060177

How to study lipidomes.

Tuulikki Seppänen-Laakso1, Matej Oresic.   

Abstract

Lipidome is loosely defined as the entire spectrum of lipids in a biological system. Given the modern lipidomics platforms for the first time empower us with the ability to obtain a snapshot of complete cellular/organismal lipidome, many surprises and discoveries are likely awaiting us in the area of lipids as related to cellular/organismal physiology. The lipidomics approaches can be applied both as the phenotyping platform and for the hypothesis-driven research aiming to elucidate, e.g., a specific pathway or gene function. Modern lipidomics methods combine the latest mass spectrometry technology and bioinformatics methods with traditional methods such as for sample preparation and lipid extraction.

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Year:  2008        PMID: 19060177     DOI: 10.1677/JME-08-0150

Source DB:  PubMed          Journal:  J Mol Endocrinol        ISSN: 0952-5041            Impact factor:   5.098


  23 in total

Review 1.  Lipidomics as a tool for the study of lipoprotein metabolism.

Authors:  Anatol Kontush; M John Chapman
Journal:  Curr Atheroscler Rep       Date:  2010-05       Impact factor: 5.113

2.  Dynamic simulation of cardiolipin remodeling: greasing the wheels for an interpretative approach to lipidomics.

Authors:  Michael A Kiebish; Rob Bell; Kui Yang; Toan Phan; Zhongdan Zhao; William Ames; Thomas N Seyfried; Richard W Gross; Jeffrey H Chuang; Xianlin Han
Journal:  J Lipid Res       Date:  2010-04-21       Impact factor: 5.922

3.  Identification and quantitation of lipid C=C location isomers: A shotgun lipidomics approach enabled by photochemical reaction.

Authors:  Xiaoxiao Ma; Leelyn Chong; Ran Tian; Riyi Shi; Tony Y Hu; Zheng Ouyang; Yu Xia
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-22       Impact factor: 11.205

4.  Simulation of triacylglycerol ion profiles: bioinformatics for interpretation of triacylglycerol biosynthesis.

Authors:  Rowland H Han; Miao Wang; Xiaoling Fang; Xianlin Han
Journal:  J Lipid Res       Date:  2013-01-30       Impact factor: 5.922

5.  Desorption electrospray ionization imaging mass spectrometry of lipids in rat spinal cord.

Authors:  Marion Girod; Yunzhou Shi; Ji-Xin Cheng; R Graham Cooks
Journal:  J Am Soc Mass Spectrom       Date:  2010-03-28       Impact factor: 3.109

6.  Lipid Metabolism and Lipidomics Applications in Cancer Research.

Authors:  Meixia Pan; Chao Qin; Xianlin Han
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

7.  Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans.

Authors:  Eugene P Rhee; Susan Cheng; Martin G Larson; Geoffrey A Walford; Gregory D Lewis; Elizabeth McCabe; Elaine Yang; Laurie Farrell; Caroline S Fox; Christopher J O'Donnell; Steven A Carr; Ramachandran S Vasan; Jose C Florez; Clary B Clish; Thomas J Wang; Robert E Gerszten
Journal:  J Clin Invest       Date:  2011-03-14       Impact factor: 14.808

Review 8.  Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences.

Authors:  Kui Yang; Xianlin Han
Journal:  Trends Biochem Sci       Date:  2016-09-20       Impact factor: 13.807

9.  A mass spectrometric study for comparative analysis and evaluation of metabolite recovery from plasma by various solvent systems.

Authors:  Anwesha Dutta; Premalatha Shetty; Smitha Bhat; Yeshaswini Ramachandra; Shrinidhi Hegde
Journal:  J Biomol Tech       Date:  2012-12

10.  Optimization of Folch, Bligh-Dyer, and Matyash sample-to-extraction solvent ratios for human plasma-based lipidomics studies.

Authors:  Candice Z Ulmer; Christina M Jones; Richard A Yost; Timothy J Garrett; John A Bowden
Journal:  Anal Chim Acta       Date:  2018-08-08       Impact factor: 6.558

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