2011
DOI: 10.1093/bioinformatics/btr137
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UniCarb-DB: a database resource for glycomic discovery

Abstract: http://www.unicarb-db.org

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Cited by 132 publications
(86 citation statements)
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“…Reactions were quenched with 1 l of glacial acetic acid, and samples were desalted and dried for capillary graphitized carbon LC-MS and LC-MS/MS in negative ion mode using an LTQ XL ion trap mass spectrometer (Thermo Scientific) (42). Oligosaccharides were identified from their MS/MS spectra using UniCarb-DB database (2011 version) (43) and validated manually. The annotated structures on lubricin are available on the UniCarb-DB database (available on the World Wide Web).…”
Section: Methodsmentioning
confidence: 99%
“…Reactions were quenched with 1 l of glacial acetic acid, and samples were desalted and dried for capillary graphitized carbon LC-MS and LC-MS/MS in negative ion mode using an LTQ XL ion trap mass spectrometer (Thermo Scientific) (42). Oligosaccharides were identified from their MS/MS spectra using UniCarb-DB database (2011 version) (43) and validated manually. The annotated structures on lubricin are available on the UniCarb-DB database (available on the World Wide Web).…”
Section: Methodsmentioning
confidence: 99%
“…The proposed glycan structures were manually assigned and interpreted from the tandem MS fragmentation spectra and further characterized with the GlycoWorkBench software tool (19). In addition, the web-based LC-MS/MS database, UniCarb KB (17), was also utilized to confirm fragmentation and retention time of N-glycans based on previously reported glycan structures that were available in the online library (34 -37). The assignment of sialic acid linkages on the N-glycan structures were carried out through specific exoglycosidase treatment described below.…”
Section: Cell Membrane Preparation and Triton X-114 Phase Partitioninmentioning
confidence: 99%
“…Furthermore, the development of glyco-bioinformatics databases and tools such as UniCarb KB (17), GlycoMod (18), GlycoWorkBench (19), GlycReSoft (20), and Multiglycan (21) have accelerated the pace of glycan characterization. In ovarian cancer, the majority of studies investigating N-glycans have been performed using serum (22)(23)(24)(25), in which significant cancer-associated changes such as increased levels of branching of the N-glycans attached to glycoproteins (24) and increased sialylation of N-glycopeptides (25) have been found.…”
mentioning
confidence: 99%
“…The development of O-glycan resources, such as Unicarb-DB, will aid in this process (47). Unicarb-DB is an LC-MS database of published glycan data.…”
Section: Development Of An Srm Methods For Core 1 O-glycans-mentioning
confidence: 99%