CASMI-The Small Molecule Identification Process from a Birmingham Perspective

被引:11
作者
Allwood, J. William [1 ]
Weber, Ralf J. M. [1 ]
Zhou, Jiarui [2 ]
He, Shan [3 ]
Viant, Mark R. [1 ]
Dunn, Warwick B. [1 ]
机构
[1] Univ Birmingham, Sch Biosci, Birmingham B15 2TT, W Midlands, England
[2] Zhejiang Univ, Coll Biomed Engn & Instrument Sci, Hangzhou 310027, Zhejiang, Peoples R China
[3] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England
基金
英国自然环境研究理事会;
关键词
CASMI; metabolite annotation; metabolite identification; KEGG; ChemSpider; PUTMEDID-LCMS; MetFrag;
D O I
10.3390/metabo3020397
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
The Critical Assessment of Small Molecule Identification (CASMI) contest was developed to provide a systematic comparative evaluation of strategies applied for the annotation and identification of small molecules. The authors participated in eleven challenges in both category 1 (to deduce a molecular formula) and category 2 (to deduce a molecular structure) related to high resolution LC-MS data. For category 1 challenges, the PUTMEDID_LCMS workflows provided the correct molecular formula in nine challenges; the two incorrect submissions were related to a larger mass error in experimental data than expected or the absence of the correct molecular formula in a reference file applied in the PUTMEDID_LCMS workflows. For category 2 challenges, MetFrag was applied to construct in silico fragmentation data and compare with experimentally-derived MS/MS data. The submissions for three challenges were correct, and for eight challenges, the submissions were not correct; some submissions showed similarity to the correct structures, while others showed no similarity. The low number of correct submissions for category 2 was a result of applying the assumption that all chemicals were derived from biological samples and highlights the importance of knowing the origin of biological or chemical samples studied and the metabolites expected to be present to define the correct chemical space to search in annotation processes.
引用
收藏
页码:397 / 411
页数:15
相关论文
共 29 条
[1]
Metabolomic approaches reveal that phosphatidic and phosphatidyl glycerol phospholipids are major discriminatory non-polar metabolites in responses by Brachypodium distachyon to challenge by Magnaporthe grisea [J].
Allwood, JW ;
Ellis, DI ;
Heald, JK ;
Goodacre, R ;
Mur, LAJ .
PLANT JOURNAL, 2006, 46 (03) :351-368
[2]
Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics [J].
Brown, M. ;
Dunn, W. B. ;
Dobson, P. ;
Patel, Y. ;
Winder, C. L. ;
Francis-McIntyre, S. ;
Begley, P. ;
Carroll, K. ;
Broadhurst, D. ;
Tseng, A. ;
Swainston, N. ;
Spasic, I. ;
Goodacre, R. ;
Kell, D. B. .
ANALYST, 2009, 134 (07) :1322-1332
[3]
A metabolome pipeline: from concept to data to knowledge [J].
Brown, Marie ;
Dunn, Warwick B. ;
Ellis, David I. ;
Goodacre, Royston ;
Handl, Julia ;
Knowles, Joshua D. ;
O'Hagan, Steve ;
Spasic, Irena ;
Kell, Douglas B. .
METABOLOMICS, 2005, 1 (01) :39-51
[4]
Automated workflows for accurate mass-based putative metabolite identification in LC/MS-derived metabolomic datasets [J].
Brown, Marie ;
Wedge, David C. ;
Goodacre, Royston ;
Kell, Douglas B. ;
Baker, Philip N. ;
Kenny, Louise C. ;
Mamas, Mamas A. ;
Neyses, Ludwig ;
Dunn, Warwick B. .
BIOINFORMATICS, 2011, 27 (08) :1108-1112
[5]
IDEOM: an Excel interface for analysis of LC-MS-based metabolomics data [J].
Creek, Darren J. ;
Jankevics, Andris ;
Burgess, Karl E. V. ;
Breitling, Rainer ;
Barrett, Michael P. .
BIOINFORMATICS, 2012, 28 (07) :1048-1049
[6]
C4GEM, a Genome-Scale Metabolic Model to Study C4 Plant Metabolism [J].
Dal'Molin, Cristiana Gomes de Oliveira ;
Quek, Lake-Ee ;
Palfreyman, Robin William ;
Brumbley, Stevens Michael ;
Nielsen, Lars Keld .
PLANT PHYSIOLOGY, 2010, 154 (04) :1871-1885
[7]
Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics [J].
Dunn, Warwick B. ;
Erban, Alexander ;
Weber, Ralf J. M. ;
Creek, Darren J. ;
Brown, Marie ;
Breitling, Rainer ;
Hankemeier, Thomas ;
Goodacre, Royston ;
Neumann, Steffen ;
Kopka, Joachim ;
Viant, Mark R. .
METABOLOMICS, 2013, 9 (01) :S44-S66
[8]
Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy [J].
Dunn, Warwick B. ;
Broadhurst, David I. ;
Atherton, Helen J. ;
Goodacre, Royston ;
Griffin, Julian L. .
CHEMICAL SOCIETY REVIEWS, 2011, 40 (01) :387-426
[9]
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology [J].
Herrgard, Markus J. ;
Swainston, Neil ;
Dobson, Paul ;
Dunn, Warwick B. ;
Arga, K. Yalcin ;
Arvas, Mikko ;
Bluethgen, Nils ;
Borger, Simon ;
Costenoble, Roeland ;
Heinemann, Matthias ;
Hucka, Michael ;
Le Novere, Nicolas ;
Li, Peter ;
Liebermeister, Wolfram ;
Mo, Monica L. ;
Oliveira, Ana Paula ;
Petranovic, Dina ;
Pettifer, Stephen ;
Simeonidis, Evangelos ;
Smallbone, Kieran ;
Spasic, Irena ;
Weichart, Dieter ;
Brent, Roger ;
Broomhead, David S. ;
Westerhoff, Hans V. ;
Kirdar, Betuel ;
Penttila, Merja ;
Klipp, Edda ;
Palsson, Bernhard O. ;
Sauer, Uwe ;
Oliver, Stephen G. ;
Mendes, Pedro ;
Nielsen, Jens ;
Kell, Douglas B. .
NATURE BIOTECHNOLOGY, 2008, 26 (10) :1155-1160
[10]
Discovery of Metabolic Signatures for Predicting Whole Organism Toxicology [J].
Hines, Adam ;
Staff, Fred J. ;
Widdows, John ;
Compton, Russell M. ;
Falciani, Francesco ;
Viant, Mark R. .
TOXICOLOGICAL SCIENCES, 2010, 115 (02) :369-378