MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research

被引:62
作者
Bueschl, Christoph [1 ,2 ]
Kluger, Bernhard [1 ]
Berthiller, Franz [1 ]
Lirk, Gerald [2 ]
Winkler, Stephan [2 ]
Krska, Rudolf [1 ]
Schuhmacher, Rainer [1 ]
机构
[1] Univ Nat Resources & Life Sci Vienna, Dept Agrobiotechnol IFA Tulln, Ctr Analyt Chem, A-3430 Tulln, Austria
[2] Univ Appl Sci, Sch Informat Commun & Media, A-4232 Hagenberg, Austria
基金
奥地利科学基金会;
关键词
MASS-SPECTROMETRY;
D O I
10.1093/bioinformatics/bts012
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Liquid chromatography-mass spectrometry (LC/MS) is a key technique in metabolomics. Since the efficient assignment of MS signals to true biological metabolites becomes feasible in combination with in vivo stable isotopic labelling, our aim was to provide a new software tool for this purpose. Results: An algorithm and a program (MetExtract) have been developed to search for metabolites in in vivo labelled biological samples. The algorithm makes use of the chromatographic characteristics of the LC/MS data and detects MS peaks fulfilling the criteria of stable isotopic labelling. As a result of all calculations, the algorithm specifies a list of m/z values, the corresponding number of atoms of the labelling element (e.g. carbon) together with retention time and extracted adduct-, fragment- and polymer ions. Its function was evaluated using native C-12- and uniformly C-13-labelled standard substances. Availability: MetExtract is available free of charge and warranty at http://code. google. com/p/metextract/. Precompiled executables are available for Windows operating systems.
引用
收藏
页码:736 / 738
页数:3
相关论文
共 7 条
[1]  
Dalgaard P, 2008, STAT COMPUT SER, P1, DOI 10.1007/978-0-387-79054-1_1
[2]   13C Isotope-Labeled Metabolomes Allowing for Improved Compound Annotation and Relative Quantification in Liquid Chromatography-Mass Spectrometry-based Metabolomic Research [J].
Giavalisco, Patrick ;
Koehl, Karin ;
Hummel, Jan ;
Seiwert, Bettina ;
Willmitzer, Lothar .
ANALYTICAL CHEMISTRY, 2009, 81 (15) :6546-6551
[3]  
Hastie T., 2009, ELEMENTS STAT LEARNI, DOI 10.1007/978-0-387-84858-7
[4]  
Jong F.D., 2011, IROA MAKES METABOLIC
[5]   Interferences and contaminants encountered in modern mass spectrometry [J].
Keller, Bernd O. ;
Suj, Jie ;
Young, Alex B. ;
Whittal, Randy M. .
ANALYTICA CHIMICA ACTA, 2008, 627 (01) :71-81
[6]  
Laatsch H., 2007, ANTIBASE 2007 NATURA
[7]   A common open representation of mass spectrometry data and its application to proteomics research [J].
Pedrioli, PGA ;
Eng, JK ;
Hubley, R ;
Vogelzang, M ;
Deutsch, EW ;
Raught, B ;
Pratt, B ;
Nilsson, E ;
Angeletti, RH ;
Apweiler, R ;
Cheung, K ;
Costello, CE ;
Hermjakob, H ;
Huang, S ;
Julian, RK ;
Kapp, E ;
McComb, ME ;
Oliver, SG ;
Omenn, G ;
Paton, NW ;
Simpson, R ;
Smith, R ;
Taylor, CF ;
Zhu, WM ;
Aebersold, R .
NATURE BIOTECHNOLOGY, 2004, 22 (11) :1459-1466