Literature DB >> 20417172

Development and optimization of a metabolomic method for analysis of adherent cell cultures.

Anders P H Danielsson1, Thomas Moritz, Hindrik Mulder, Peter Spégel.   

Abstract

In this investigation, a gas chromatography/mass spectrometry (GC/MS)-based metabolomic protocol for adherent cell cultures was developed using statistical design of experiments. Cell disruption, metabolite extraction, and the GC/MS settings were optimized aiming at a gentle, unbiased, sensitive, and high-throughput metabolomic protocol. Due to the heterogeneity of the metabolome and the inherent selectivity of all analytical techniques, development of unbiased protocols is highly complex. Changing one parameter of the protocol may change the response of many groups of metabolites. In this investigation, statistical design of experiments and multivariate analysis also allowed such interaction effects to be taken into account. The protocol was validated with respect to linear range, precision, and limit of detection in a clonal rat insulinoma cell line (INS-1 832/13). The protocol allowed high-throughput profiling of metabolites covering the major metabolic pathways. The majority of metabolites displayed a linear range from a single well in a 96-well plate up to a 10 cm culture dish. The method allowed a total of 47 analyses to be performed in 24h. 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20417172     DOI: 10.1016/j.ab.2010.04.013

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  20 in total

Review 1.  Experimental design and reporting standards for metabolomics studies of mammalian cell lines.

Authors:  Sarah Hayton; Garth L Maker; Ian Mullaney; Robert D Trengove
Journal:  Cell Mol Life Sci       Date:  2017-07-01       Impact factor: 9.261

2.  A comprehensive protocol for multiplatform metabolomics analysis in patient-derived skin fibroblasts.

Authors:  Jordan Wilkins; Dhananjay Sakrikar; Xuan-Mai Petterson; Ian R Lanza; Eugenia Trushina
Journal:  Metabolomics       Date:  2019-05-23       Impact factor: 4.290

3.  NMR Metabolomics Analysis of Parkinson's Disease.

Authors:  Shulei Lei; Robert Powers
Journal:  Curr Metabolomics       Date:  2013

Review 4.  Metabolomics applied to the pancreatic islet.

Authors:  Jessica R Gooding; Mette V Jensen; Christopher B Newgard
Journal:  Arch Biochem Biophys       Date:  2015-06-25       Impact factor: 4.013

Review 5.  Optimizing Mass Spectrometry Analyses: A Tailored Review on the Utility of Design of Experiments.

Authors:  Elizabeth S Hecht; Ann L Oberg; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2016-03-07       Impact factor: 3.109

6.  Metabolomic profiling of cellular responses to carvedilol enantiomers in vascular smooth muscle cells.

Authors:  Mingxuan Wang; Jing Bai; Wei Ning Chen; Chi Bun Ching
Journal:  PLoS One       Date:  2010-11-24       Impact factor: 3.240

7.  Coordinate changes in histone modifications, mRNA levels, and metabolite profiles in clonal INS-1 832/13 β-cells accompany functional adaptations to lipotoxicity.

Authors:  Siri Malmgren; Peter Spégel; Anders P H Danielsson; Cecilia L Nagorny; Lotta E Andersson; Marloes Dekker Nitert; Martin Ridderstråle; Hindrik Mulder; Charlotte Ling
Journal:  J Biol Chem       Date:  2013-03-08       Impact factor: 5.157

8.  Metabolomic profiling reveals distinct patterns of tricarboxylic acid disorders in blood stasis syndrome associated with coronary heart disease.

Authors:  Yong Wang; Chun Li; Hong Chang; Ling-Hui Lu; Qi Qiu; Yu-Lin Ouyang; Jun-da Yu; Shu-Zhen Guo; Jing Han; Wei Wang
Journal:  Chin J Integr Med       Date:  2016-05-16       Impact factor: 1.978

9.  Optimization of harvesting, extraction, and analytical protocols for UPLC-ESI-MS-based metabolomic analysis of adherent mammalian cancer cells.

Authors:  Huichang Bi; Kristopher W Krausz; Soumen K Manna; Fei Li; Caroline H Johnson; Frank J Gonzalez
Journal:  Anal Bioanal Chem       Date:  2013-04-19       Impact factor: 4.142

Review 10.  Metabolomics applied to islet nutrient sensing mechanisms.

Authors:  Mette V Jensen; Jessica R Gooding; Mourad Ferdaoussi; Xiao-Qing Dai; Brett S Peterson; Patrick E MacDonald; Christopher B Newgard
Journal:  Diabetes Obes Metab       Date:  2017-09       Impact factor: 6.577

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