Literature DB >> 21767661

High throughput quantitative molecular lipidomics.

Hye R Jung1, Tuulia Sylvänne, Kaisa M Koistinen, Kirill Tarasov, Dimple Kauhanen, Kim Ekroos.   

Abstract

Applications in biomedical research increasingly demand detailed lipid molecule information acquired at high throughput. Although the recent advances in lipidomics offer to delineate the lipidomes in detail, the challenge remains in performing such analyses at the requested quality and to maintain the quality also in a high throughput setting. In this review we describe a high throughput molecular lipidomic solution based on robotic assisted sample preparation and lipid extraction and multiple lipidomic platforms integrated with a sophisticated bioinformatics system. As demonstrated, the virtue of this lipidomic toolkit lies in its high throughput delivery of comprehensive quantitative lipidomic outputs at the molecular lipid level, its ease of scalability and its capability to serve in a regulatory setting. We anticipate that this toolkit will contribute to basic research, nutritional research and promote the discovery of new disease biomarkers, disease related mechanisms of actions and drug targets. Copyright Â
© 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21767661     DOI: 10.1016/j.bbalip.2011.06.025

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  60 in total

1.  Human plasma lipidome is pleiotropically associated with cardiovascular risk factors and death.

Authors:  Claire Bellis; Hemant Kulkarni; Manju Mamtani; Jack W Kent; Gerard Wong; Jacquelyn M Weir; Christopher K Barlow; Vincent Diego; Marcio Almeida; Thomas D Dyer; Harald H H Göring; Laura Almasy; Michael C Mahaney; Anthony G Comuzzie; Sarah Williams-Blangero; Peter J Meikle; John Blangero; Joanne E Curran
Journal:  Circ Cardiovasc Genet       Date:  2014-11-02

2.  The BUME method: a novel automated chloroform-free 96-well total lipid extraction method for blood plasma.

Authors:  Lars Löfgren; Marcus Ståhlman; Gun-Britt Forsberg; Sinikka Saarinen; Ralf Nilsson; Göran I Hansson
Journal:  J Lipid Res       Date:  2012-05-29       Impact factor: 5.922

3.  Analytical challenges of shotgun lipidomics at different resolution of measurements.

Authors:  Jianing Wang; Xianlin Han
Journal:  Trends Analyt Chem       Date:  2019-10-17       Impact factor: 12.296

4.  Membrane fluidity is regulated by the C. elegans transmembrane protein FLD-1 and its human homologs TLCD1/2.

Authors:  Mario Ruiz; Rakesh Bodhicharla; Emma Svensk; Ranjan Devkota; Kiran Busayavalasa; Henrik Palmgren; Marcus Ståhlman; Jan Boren; Marc Pilon
Journal:  Elife       Date:  2018-12-04       Impact factor: 8.140

5.  Lipid Profiling of In Vitro Cell Models of Adipogenic Differentiation: Relationships With Mouse Adipose Tissues.

Authors:  Lucy Liaw; Igor Prudovsky; Robert A Koza; Rea V Anunciado-Koza; Matthew E Siviski; Volkhard Lindner; Robert E Friesel; Clifford J Rosen; Paul R S Baker; Brigitte Simons; Calvin P H Vary
Journal:  J Cell Biochem       Date:  2016-03-16       Impact factor: 4.429

6.  Improved Butanol-Methanol (BUME) Method by Replacing Acetic Acid for Lipid Extraction of Biological Samples.

Authors:  Mutya Cruz; Miao Wang; Jessica Frisch-Daiello; Xianlin Han
Journal:  Lipids       Date:  2016-05-31       Impact factor: 1.880

Review 7.  New families of bioactive oxidized phospholipids generated by immune cells: identification and signaling actions.

Authors:  Valerie B O'Donnell; Robert C Murphy
Journal:  Blood       Date:  2012-07-16       Impact factor: 22.113

8.  Widely-targeted quantitative lipidomics method by supercritical fluid chromatography triple quadrupole mass spectrometry.

Authors:  Hiroaki Takeda; Yoshihiro Izumi; Masatomo Takahashi; Thanai Paxton; Shohei Tamura; Tomonari Koike; Ying Yu; Noriko Kato; Katsutoshi Nagase; Masashi Shiomi; Takeshi Bamba
Journal:  J Lipid Res       Date:  2018-05-03       Impact factor: 5.922

9.  Systems-Level Lipid Analysis Methodologies for Qualitative and Quantitative Investigation of Lipid Signaling Events During Wound Healing.

Authors:  Dayanjan S Wijesinghe; Charles E Chalfant
Journal:  Adv Wound Care (New Rochelle)       Date:  2013-11       Impact factor: 4.730

Review 10.  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

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