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InSourcerer: a high-throughput method to search for unknown metabolite modifications by mass spectrometry.
Mrzic, Aida; Lermyte, Frederik; Vu, Trung Nghia; Valkenborg, Dirk; Laukens, Kris.
Afiliação
  • Mrzic A; Department of Mathematics and Computer Science, University of Antwerp, Antwerpen, Belgium.
  • Lermyte F; Biomedical Informatics Research Network Antwerpen (biomina), University of Antwerp / Antwerp University Hospital, Antwerpen, Belgium.
  • Vu TN; Applied Bio & Molecular Systems, Flemish Institute for Technological Research (VITO), Mol, Belgium.
  • Valkenborg D; UA-VITO Center for Proteomics, University of Antwerp, Antwerpen, Belgium.
  • Laukens K; Department of Chemistry, University of Antwerp, Antwerpen, Belgium.
Rapid Commun Mass Spectrom ; 31(17): 1396-1404, 2017 Sep 15.
Article em En | MEDLINE | ID: mdl-28569011
RATIONALE: Using mass spectrometry, the analysis of known metabolite structures has become feasible in a systematic high-throughput fashion. Nevertheless, the identification of previously unknown structures remains challenging, partially because many unidentified variants originate from known molecules that underwent unexpected modifications. Here, we present a method for the discovery of unknown metabolite modifications and conjugate metabolite isoforms in a high-throughput fashion. METHODS: The method is based on user-controlled in-source fragmentation which is used to induce loss of weakly bound modifications. This is followed by the comparison of product ions from in-source fragmentation and collision-induced dissociation (CID). Diagonal MS2 -MS3 matching allows the detection of unknown metabolite modifications, as well as substructure similarities. As the method relies heavily on the advantages of in-source fragmentation and its ability to 'magically' elucidate unknown modification, we have named it inSourcerer as a portmanteau of in-source and sorcerer. RESULTS: The method was evaluated using a set of 15 different cytokinin standards. Product ions from in-source fragmentation and CID were compared. Hierarchical clustering revealed that good matches are due to the presence of common substructures. Plant leaf extract, spiked with a mix of all 15 standards, was used to demonstrate the method's ability to detect these standards in a complex mixture, as well as confidently identify compounds already present in the plant material. CONCLUSIONS: Here we present a method that incorporates a classic liquid chromatography/mass spectrometry (LC/MS) workflow with fragmentation models and computational algorithms. The assumptions upon which the concept of the method was built were shown to be valid and the method showed that in-source fragmentation can be used to pinpoint structural similarities and indicate the occurrence of a modification.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Ensaios de Triagem em Larga Escala / Modelos Químicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Ensaios de Triagem em Larga Escala / Modelos Químicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article