Lenz, Christof

[["dc.bibliographiccitation.firstpage","185"],["dc.bibliographiccitation.lastpage","203"],["dc.bibliographiccitation.seriesnr","2228"],["dc.contributor.author","Silbern, Ivan"],["dc.contributor.author","Fang, Pan"],["dc.contributor.author","Ji, Yanlong"],["dc.contributor.author","Christof, Lenz"],["dc.contributor.author","Urlaub, Henning"],["dc.contributor.author","Pan, Kuan-Ting"],["dc.contributor.editor","Marcus, Katrin"],["dc.contributor.editor","Eisenacher, Martin"],["dc.contributor.editor","Sitek, Barbara"],["dc.date.accessioned","2021-06-02T10:44:22Z"],["dc.date.available","2021-06-02T10:44:22Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1007/978-1-0716-1024-4_14"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87012"],["dc.notes.intern","DOI-Import GROB-425"],["dc.publisher","Springer US"],["dc.publisher.place","New York, NY"],["dc.relation.crisseries","Methods in Molecular Biology"],["dc.relation.eisbn","978-1-0716-1024-4"],["dc.relation.isbn","978-1-0716-1023-7"],["dc.relation.ispartof","Methods in Molecular Biology"],["dc.relation.ispartof","Quantitative Methods in Proteomics"],["dc.relation.ispartofseries","Methods in Molecular Biology; 2228"],["dc.title","Relative Quantification of Phosphorylated and Glycosylated from the Same Sample Using Isobaric Chemical Labelling with a Two-Step Enrichment Strategy"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Fang, Pan"],["dc.contributor.author","Ji, Yanlong"],["dc.contributor.author","Silbern, Ivan"],["dc.contributor.author","Doebele, Carmen"],["dc.contributor.author","Ninov, Momchil"],["dc.contributor.author","Lenz, Christof"],["dc.contributor.author","Oellerich, Thomas"],["dc.contributor.author","Pan, Kuan-Ting"],["dc.contributor.author","Urlaub, Henning"],["dc.date.accessioned","2021-04-14T08:31:49Z"],["dc.date.available","2021-04-14T08:31:49Z"],["dc.date.issued","2020"],["dc.description.abstract","Regulation of protein N-glycosylation is essential in human cells. However, large-scale, accurate, and site-specific quantification of glycosylation is still technically challenging. We here introduce SugarQuant, an integrated mass spectrometry-based pipeline comprising protein aggregation capture (PAC)-based sample preparation, multi-notch MS3 acquisition (Glyco-SPS-MS3) and a data-processing tool (GlycoBinder) that enables confident identification and quantification of intact glycopeptides in complex biological samples. PAC significantly reduces sample-handling time without compromising sensitivity. Glyco-SPS-MS3 combines high-resolution MS2 and MS3 scans, resulting in enhanced reporter signals of isobaric mass tags, improved detection of N-glycopeptide fragments, and lowered interference in multiplexed quantification. GlycoBinder enables streamlined processing of Glyco-SPS-MS3 data, followed by a two-step database search, which increases the identification rates of glycopeptides by 22% compared with conventional strategies. We apply SugarQuant to identify and quantify more than 5,000 unique glycoforms in Burkitt’s lymphoma cells, and determine site-specific glycosylation changes that occurred upon inhibition of fucosylation at high confidence."],["dc.identifier.doi","10.1038/s41467-020-19052-w"],["dc.identifier.pmid","33077710"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83721"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/59"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | A06: Mitochondrienfunktion und -umsatz in Synapsen"],["dc.relation.eissn","2041-1723"],["dc.relation.workinggroup","RG Urlaub (Bioanalytische Massenspektrometrie)"],["dc.rights","CC BY 4.0"],["dc.title","A streamlined pipeline for multiplexed quantitative site-specific N-glycoproteomics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]