Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24418
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMrzic, Aida-
dc.contributor.authorLermyte, Frederik-
dc.contributor.authorVu, Trung Nghia-
dc.contributor.authorVALKENBORG, Dirk-
dc.contributor.authorLaukens, Kris-
dc.date.accessioned2017-09-08T07:32:19Z-
dc.date.available2017-09-08T07:32:19Z-
dc.date.issued2017-
dc.identifier.citationRAPID COMMUNICATIONS IN MASS SPECTROMETRY, 31(17), p. 1396-1404-
dc.identifier.issn0951-4198-
dc.identifier.urihttp://hdl.handle.net/1942/24418-
dc.description.abstractRationale: 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.-
dc.description.sponsorshipVLAIO, Grant/Award Number: "InSPECtor" (IWT project 120025); Fonds Wetenschappelijk Onderzoek, Grant/Award Number: FWO PhD fellowship number: 11L4115N; Bijzonder Onderzoeksfonds, Grant/Award Number: Interdisciplinary Grant-
dc.language.isoen-
dc.publisherWILEY-
dc.rightsCopyright © 2017 John Wiley & Sons, Ltd.-
dc.titleInSourcerer: a high-throughput method to search for unknown metabolite modifications by mass spectrometry-
dc.typeJournal Contribution-
dc.identifier.epage1404-
dc.identifier.issue17-
dc.identifier.spage1396-
dc.identifier.volume31-
local.format.pages9-
local.bibliographicCitation.jcatA1-
dc.description.notes[Lermyte, Frederik; Valkenborg, Dirk] Flemish Inst Technol Res VITO, Appl Bio & Mol Syst, Mol, Belgium. [Lermyte, Frederik; Valkenborg, Dirk] Univ Antwerp, UA VITO Ctr Prote, Antwerp, Belgium. [Valkenborg, Dirk] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Hasselt, Belgium. [Lermyte, Frederik] Univ Antwerp, Dept Chem, Antwerp, Belgium. [Mrzic, Aida; Trung Nghia Vu; Laukens, Kris] Univ Antwerp, Dept Math & Comp Sci, Antwerp, Belgium. [Mrzic, Aida; Trung Nghia Vu; Laukens, Kris] Univ Antwerp, Antwerp Univ Hosp, Biomed Informat Res Network Antwerpen Biomina, Antwerp, Belgium.-
local.publisher.placeHOBOKEN-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1002/rcm.7910-
dc.identifier.isi000406934900003-
item.fulltextWith Fulltext-
item.contributorMrzic, Aida-
item.contributorLermyte, Frederik-
item.contributorVu, Trung Nghia-
item.contributorVALKENBORG, Dirk-
item.contributorLaukens, Kris-
item.fullcitationMrzic, Aida; Lermyte, Frederik; Vu, Trung Nghia; VALKENBORG, Dirk & Laukens, Kris (2017) InSourcerer: a high-throughput method to search for unknown metabolite modifications by mass spectrometry. In: RAPID COMMUNICATIONS IN MASS SPECTROMETRY, 31(17), p. 1396-1404.-
item.accessRightsRestricted Access-
item.validationecoom 2018-
crisitem.journal.issn0951-4198-
crisitem.journal.eissn1097-0231-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
mrzic 1.pdf
  Restricted Access
Published version815.55 kBAdobe PDFView/Open    Request a copy
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.