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Examining and Fine-tuning the Selection of Glycan Compositions with GlyConnect Compozitor

Thibault Robin, Julien Mariethoz, Frédérique Lisacek

2020Molecular & Cellular Proteomics28 citationsDOIOpen Access PDF

Abstract

A key point in achieving accurate intact glycopeptide identification is the definition of the glycan composition file that is used to match experimental with theoretical masses by a glycoproteomics search engine. At present, these files are mainly built from searching the literature and/or querying data sources focused on posttranslational modifications. Most glycoproteomics search engines include a default composition file that is readily used when processing MS data. We introduce here a glycan composition visualizing and comparative tool associated with the GlyConnect database and called GlyConnect Compozitor. It offers a web interface through which the database can be queried to bring out contextual information relative to a set of glycan compositions. The tool takes advantage of compositions being related to one another through shared monosaccharide counts and outputs interactive graphs summarizing information searched in the database. These results provide a guide for selecting or deselecting compositions in a file in order to reflect the context of a study as closely as possible. They also confirm the consistency of a set of compositions based on the content of the GlyConnect database. As part of the tool collection of the [email protected] initiative, Compozitor is hosted at https://glyconnect.expasy.org/compozitor/ where it can be run as a web application. It is also directly accessible from the GlyConnect database. A key point in achieving accurate intact glycopeptide identification is the definition of the glycan composition file that is used to match experimental with theoretical masses by a glycoproteomics search engine. At present, these files are mainly built from searching the literature and/or querying data sources focused on posttranslational modifications. Most glycoproteomics search engines include a default composition file that is readily used when processing MS data. We introduce here a glycan composition visualizing and comparative tool associated with the GlyConnect database and called GlyConnect Compozitor. It offers a web interface through which the database can be queried to bring out contextual information relative to a set of glycan compositions. The tool takes advantage of compositions being related to one another through shared monosaccharide counts and outputs interactive graphs summarizing information searched in the database. These results provide a guide for selecting or deselecting compositions in a file in order to reflect the context of a study as closely as possible. They also confirm the consistency of a set of compositions based on the content of the GlyConnect database. As part of the tool collection of the [email protected] initiative, Compozitor is hosted at https://glyconnect.expasy.org/compozitor/ where it can be run as a web application. It is also directly accessible from the GlyConnect database. One of the most interesting current challenges in proteomics research is estimating the extent of protein diversity as recently summarized in (1Aebersold R. Agar J.N. Amster I.J. Baker M.S. Bertozzi C.R. Boja E.S. Costello C.E. Cravatt B.F. Fenselau C. Garcia B.A. Ge Y. Gunawardena J. Hendrickson R.C. Hergenrother P.J. Huber C.G. Ivanov A.R. Jensen O.N. Jewett M.C. Kelleher N.L. Kiessling L.L. Krogan N.J. Larsen M.R. Loo J.A. Ogorzalek Loo R.R. Lundberg E. MacCoss M.J. Mallick P. Mootha V.K. Mrksich M. Muir T.W. Patrie S.M. Pesavento J.J. Pitteri S.J. Rodriguez H. Saghatelian A. Sandoval W. Schlüter H. Sechi S. Slavoff S.A. Smith L.M. Snyder M.P. Thomas P.M. Uhlén M. Van Eyk J.E. Vidal M. Walt D.R. White F.M. Williams E.R. Wohlschlager T. Wysocki V.H. Yates N.A. Young N.L. Zhang B. How many human proteoforms are there?.Nat. Chem. Biol. 2018; 14: 206-214Crossref PubMed Scopus (363) Google Scholar). To encompass all molecular forms of a protein following genetic variation, alternative splicing and posttranslational processing, the term “proteoform” was recently proposed (2Smith L.M. Kelleher N.L. Consortium for Top Down Proteomics Proteoform: a single term describing protein complexity.Nat. Methods. 2013; 10: 186-187Crossref PubMed Scopus (884) Google Scholar) and rapidly adopted by the community. Yet, the array of posttranslational modifications is and the of many that glycoproteomics to on a a include R.C. B. intact glycopeptide identification by database 2018; PubMed Scopus Google R. W. M. M. Larsen M.R. in 2018; PubMed Scopus Google Scholar) or M.S. J.J. with 10: PubMed Scopus Google Scholar) These on proteomics to as protein identification by searching PubMed Scopus Google Scholar) and Baker of a database to glycopeptide identification from Chem. PubMed Scopus Google Scholar) or glycoproteomics in as in H. J. and glycoproteomics and PubMed Scopus Google Scholar). 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Topics & Concepts

GlycanSelection (genetic algorithm)ChemistryComputational biologyComputer scienceBiologyArtificial intelligenceBiochemistryGlycoproteinGlycosylation and Glycoproteins ResearchProtein purification and stabilityCarbohydrate Chemistry and Synthesis
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