Mass spectrometry-based metabolomics

被引:1546
作者
Dettmer, Katja
Aronov, Pavel A.
Hammock, Bruce D.
机构
[1] Univ Calif Davis, Dept Entomol, Davis, CA 95616 USA
[2] Univ Calif Davis, Canc Res Ctr, Davis, CA 95616 USA
关键词
metabolomics; metabolic fingerprinting; metabolic profiling; lipidomics; mass spectrometry; PERFORMANCE LIQUID-CHROMATOGRAPHY; TRANSFORM INFRARED-SPECTROSCOPY; VOLATILE SECONDARY METABOLITES; GAS-CHROMATOGRAPHY; HIGH-THROUGHPUT; QUANTITATIVE-ANALYSIS; FUNCTIONAL GENOMICS; CRUDE EXTRACTS; HPLC-TOF/MS; RAT URINE;
D O I
10.1002/mas.20108
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
This review presents an overview of the dynamically developing field of mass spectrometry-based metabolomics. Metabolomics aims at the comprehensive and quantitative analysis of wide arrays of metabolites in biological samples. These numerous analytes have very diverse physico-chemical properties and occur at different abundance levels. Consequently, comprehensive metabolomics investigations are primarily a challenge for analytical chemistry and specifically mass spectrometry has vast potential as a tool for this type of investigation. Metabolomics require special approaches for sample preparation, separation, and mass spectrometric analysis. Current examples of those approaches are described in this review. It primarily focuses on metabolic fingerprinting, a technique that analyzes all detectable analytes in a given sample with subsequent classification of samples and identification of differentially expressed metabolites, which define the sample classes. To perform this complex task, data analysis tools, metabolite libraries, and databases are required. Therefore, recent advances in metabolomics bioinformatics are also discussed. (c) 2006 Wiley Periodicals, Inc.
引用
收藏
页码:51 / 78
页数:28
相关论文
共 148 条
[41]  
Halket John M., 2005, Journal of Experimental Botany, V56, P219
[42]   Global analyses of cellular lipidomes directly from crude extracts of biological samples by ESI mass spectrometry: a bridge to lipidomics [J].
Han, XL ;
Gross, RW .
JOURNAL OF LIPID RESEARCH, 2003, 44 (06) :1071-1079
[43]   Shotgun lipidomics: Electrospray ionization mass spectrometric analysis and quantitation of cellular lipidomes directly from crude extracts of biological samples [J].
Han, XL ;
Gross, RW .
MASS SPECTROMETRY REVIEWS, 2005, 24 (03) :367-412
[44]   Application of high-throughput Fourier-transform infrared spectroscopy in toxicology studies: contribution to a study on the development of an animal model for idiosyncratic toxicity [J].
Harrigan, GG ;
LaPlante, RH ;
Cosma, GN ;
Cockerell, G ;
Goodacre, R ;
Maddox, JF ;
Luyendyk, JP ;
Ganey, PE ;
Roth, RA .
TOXICOLOGY LETTERS, 2004, 146 (03) :197-205
[45]   New algorithms for processing and peak detection in liquid chromatography/mass spectrometry data [J].
Hastings, CA ;
Norton, SM ;
Roy, S .
RAPID COMMUNICATIONS IN MASS SPECTROMETRY, 2002, 16 (05) :462-467
[46]   New stable isotope-mass spectrometric techniques for measuring fluxes through intact metabolic pathways in mammalian systems: introduction of moving pictures into functional genomics and biochemical phenotyping [J].
Hellerstein, MK .
METABOLIC ENGINEERING, 2004, 6 (01) :85-100
[47]   Hepatic gluconeogenic fluxes and glycogen turnover during fasting in humans - A stable isotope study [J].
Hellerstein, MK ;
Neese, RA ;
Linfoot, P ;
Christiansen, M ;
Turner, S ;
Letscher, A .
JOURNAL OF CLINICAL INVESTIGATION, 1997, 100 (05) :1305-1319
[48]   Automated quantitative analysis of complex lipidomes by liquid chromatography/mass spectrometry [J].
Hermansson, M ;
Uphoff, A ;
Kakela, R ;
Somerharju, P .
ANALYTICAL CHEMISTRY, 2005, 77 (07) :2166-2175
[49]   Integration of transcriptomics and metabolomics for understanding of global responses to nutritional stresses in Arabidopsis thaliana [J].
Hirai, MY ;
Yano, M ;
Goodenowe, DB ;
Kanaya, S ;
Kimura, T ;
Awazuhara, M ;
Arita, M ;
Fujiwara, T ;
Saito, K .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (27) :10205-10210
[50]   Metabonomic characterization of genetic variations in toxicological and metabolic responses using probabilistic neural networks [J].
Holmes, E ;
Nicholson, JK ;
Tranter, G .
CHEMICAL RESEARCH IN TOXICOLOGY, 2001, 14 (02) :182-191