Literature DB >> 23634639

Rapid quantification of yeast lipid using microwave-assisted total lipid extraction and HPLC-CAD.

Sakda Khoomrung1, Pramote Chumnanpuen, Suwanee Jansa-Ard, Marcus Ståhlman, Intawat Nookaew, Jan Borén, Jens Nielsen.   

Abstract

We here present simple and rapid methods for fast screening of yeast lipids in Saccharomyces cerevisiae. First we introduced a microwave-assisted technique for fast lipid extraction that allows the extraction of lipids within 10 min. The new method enhances extraction rate by 27 times, while maintaining product yields comparable to conventional methods (n = 14, P > 0.05). The recovery (n = 3) from spiking of synthetic standards were 92 ± 6% for cholesterol, 95 ± 4% for triacylglycerol, and 92 ± 4% for free fatty acids. Additionally, the new extraction method combines cell disruption and extraction in one step, and the approach, therefore, not only greatly simplifies sample handling but also reduces analysis time and minimizes sample loss during sample preparation. Second, we developed a chromatographic separation that allowed separation of neutral and polar lipids from the extracted samples within a single run. The separation was performed based on a three gradient solvent system combined with hydrophilic interaction liquid chromatography-HPLC followed by detection using a charged aerosol detector. The method was shown to be highly reproducible in terms of retention time of the analytes (intraday; 0.002-0.034% RSD; n = 10, interday; 0.04-1.35% RSD; n = 5) and peak area (intraday; 0.63-6% RSD; n = 10, interday; 4-12% RSD; n = 5).

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Year:  2013        PMID: 23634639     DOI: 10.1021/ac3032405

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  29 in total

1.  Engineering yeast phospholipid metabolism for de novo oleoylethanolamide production.

Authors:  Yi Liu; Quanli Liu; Anastasia Krivoruchko; Sakda Khoomrung; Jens Nielsen
Journal:  Nat Chem Biol       Date:  2019-12-16       Impact factor: 15.040

2.  Improved quantitation of lipid classes using supercritical fluid chromatography with a charged aerosol detector.

Authors:  Hiroaki Takeda; Masatomo Takahashi; Takeshi Hara; Yoshihiro Izumi; Takeshi Bamba
Journal:  J Lipid Res       Date:  2019-06-14       Impact factor: 5.922

3.  Extracellular vesicles from human pancreatic islets suppress human islet amyloid polypeptide amyloid formation.

Authors:  Diana Ribeiro; Istvan Horvath; Nikki Heath; Ryan Hicks; Anna Forslöw; Pernilla Wittung-Stafshede
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-02       Impact factor: 11.205

4.  Metabolic Profiling and Compound-Class Identification Reveal Alterations in Serum Triglyceride Levels in Mice Immunized with Human Vaccine Adjuvant Alum.

Authors:  Sakda Khoomrung; Intawat Nookaew; Partho Sen; Thorunn A Olafsdottir; Josefine Persson; Thomas Moritz; Peter Andersen; Ali M Harandi; Jens Nielsen
Journal:  J Proteome Res       Date:  2019-11-01       Impact factor: 4.466

5.  Physiological adaptations of Saccharomyces cerevisiae evolved for improved butanol tolerance.

Authors:  Payam Ghiaci; Joakim Norbeck; Christer Larsson
Journal:  Biotechnol Biofuels       Date:  2013-07-15       Impact factor: 6.040

6.  Improved production of fatty acid ethyl esters in Saccharomyces cerevisiae through up-regulation of the ethanol degradation pathway and expression of the heterologous phosphoketolase pathway.

Authors:  Bouke Wim de Jong; Shuobo Shi; Verena Siewers; Jens Nielsen
Journal:  Microb Cell Fact       Date:  2014-03-12       Impact factor: 5.328

7.  Integrated analysis, transcriptome-lipidome, reveals the effects of INO-level (INO2 and INO4) on lipid metabolism in yeast.

Authors:  Pramote Chumnanpuen; Intawat Nookaew; Jens Nielsen
Journal:  BMC Syst Biol       Date:  2013-10-16

8.  Adaptation to different types of stress converge on mitochondrial metabolism.

Authors:  Petri-Jaan Lahtvee; Rahul Kumar; Björn M Hallström; Jens Nielsen
Journal:  Mol Biol Cell       Date:  2016-06-15       Impact factor: 4.138

9.  Production of fatty acid-derived oleochemicals and biofuels by synthetic yeast cell factories.

Authors:  Yongjin J Zhou; Nicolaas A Buijs; Zhiwei Zhu; Jiufu Qin; Verena Siewers; Jens Nielsen
Journal:  Nat Commun       Date:  2016-05-25       Impact factor: 14.919

10.  Expression of cocoa genes in Saccharomyces cerevisiae improves cocoa butter production.

Authors:  Yongjun Wei; David Bergenholm; Michael Gossing; Verena Siewers; Jens Nielsen
Journal:  Microb Cell Fact       Date:  2018-01-25       Impact factor: 5.328

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