Literature DB >> 18423646

Development of GCxGC/TOF-MS metabolomics for use in ecotoxicological studies with invertebrates.

Kimberly Ralston-Hooper1, Amber Hopf, Cheolhwan Oh, Xiang Zhang, Jiri Adamec, Maria S Sepúlveda.   

Abstract

The majority of metabolomic studies used in ecotoxicology have implemented (1)H NMR analysis. Despite constant improvement, major limitations of NMR-based techniques include relatively low sensitivity that results in an examination of a limited number of metabolites. An alternative approach is the use of liquid or gas chromatography (GC) for separation of metabolites and mass spectrometry (MS) for their quantification and identification. The objective of our study was to develop a two dimensional GC coupled with time of flight MS (GCxGC/TOF-MS) coupled with multivariate analysis to compare metabolite profiles of Diporeia under different environmental conditions. We compared metabolite profiles between Diporeia collected from Lake Michigan (declining populations) to those residing in Lake Superior (stable populations), and also between Diporeia exposed to a chemical stressor (atrazine) and controls. Overall, 76 and 302 total metabolites were detected from the lake comparison and atrazine studies, respectively. Many of the identified metabolites included fatty acids, amino acids, and hydrocarbons. Furthermore, we observed unique and almost non-overlapping metabolite profiles in both studies. In conclusion, we established the feasibility of using GCxGC/TOF-MS for detecting metabolites as well as developed software to align and merge chromatographic peaks to compare metabolite differences between invertebrate groups sampled under different environmental conditions. This ability to detect unique metabolite profiles under different environmental conditions will increase our undertsanding on the physiological processes and whole-organism reponses occuring as a result of exposure to different environmental stressors.

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Year:  2008        PMID: 18423646     DOI: 10.1016/j.aquatox.2008.03.002

Source DB:  PubMed          Journal:  Aquat Toxicol        ISSN: 0166-445X            Impact factor:   4.964


  12 in total

1.  Gas chromatography-mass spectrometry for metabolite profiling of Japanese medaka (Oryzias latipes) juveniles exposed to malathion.

Authors:  Seiichi Uno; Aoi Shintoyo; Emiko Kokushi; Masataka Yamamoto; Kei Nakayama; Jiro Koyama
Journal:  Environ Sci Pollut Res Int       Date:  2012-07-21       Impact factor: 4.223

2.  Metabolomic analysis of the effects of chronic arsenic exposure in a mouse model of diet-induced Fatty liver disease.

Authors:  Xiang Zhang; Walter H Watson; Xue Shi; Xiaoli Wei; Imhoi Koo; Robin H Schmidt; Xinmin Yin; Seong Ho Kim; Andrew Vaughn; Craig J McClain; Gavin E Arteel
Journal:  J Proteome Res       Date:  2013-12-17       Impact factor: 4.466

3.  Normal-Gamma-Bernoulli Peak Detection for Analysis of Comprehensive Two-Dimensional Gas Chromatography Mass Spectrometry Data.

Authors:  Seongho Kim; Hyejeong Jang; Imhoi Koo; Joohyoung Lee; Xiang Zhang
Journal:  Comput Stat Data Anal       Date:  2016-08-03       Impact factor: 1.681

4.  Smith-Waterman peak alignment for comprehensive two-dimensional gas chromatography-mass spectrometry.

Authors:  Seongho Kim; Imhoi Koo; Aiqin Fang; Xiang Zhang
Journal:  BMC Bioinformatics       Date:  2011-06-15       Impact factor: 3.169

5.  Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives.

Authors:  Maud M Koek; Renger H Jellema; Jan van der Greef; Albert C Tas; Thomas Hankemeier
Journal:  Metabolomics       Date:  2010-11-16       Impact factor: 4.290

6.  Recent advances of metabolomics in plant biotechnology.

Authors:  Yozo Okazaki; Kazuki Saito
Journal:  Plant Biotechnol Rep       Date:  2011-07-29       Impact factor: 2.010

Review 7.  Ecotoxicogenomic approaches for understanding molecular mechanisms of environmental chemical toxicity using aquatic invertebrate, Daphnia model organism.

Authors:  Hyo Jeong Kim; Preeyaporn Koedrith; Young Rok Seo
Journal:  Int J Mol Sci       Date:  2015-05-29       Impact factor: 5.923

8.  Optimizing 2D gas chromatography mass spectrometry for robust tissue, serum and urine metabolite profiling.

Authors:  Zhanru Yu; Honglei Huang; Alexander Reim; Philip D Charles; Alan Northage; Dianne Jackson; Ian Parry; Benedikt M Kessler
Journal:  Talanta       Date:  2017-01-07       Impact factor: 6.057

9.  Multi-platform metabolomic analyses of ergosterol-induced dynamic changes in Nicotiana tabacum cells.

Authors:  Fidele Tugizimana; Paul A Steenkamp; Lizelle A Piater; Ian A Dubery
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

10.  Gas chromatography-mass spectrometry based metabolomic approach for optimization and toxicity evaluation of earthworm sub-lethal responses to carbofuran.

Authors:  Mohana Krishna Reddy Mudiam; Ratnasekhar Ch; Prem Narain Saxena
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

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