<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Sutherland E</submitter><funding>American Society for Mass Spectrometry</funding><funding>Washington Research Foundation</funding><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>5606-5614</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12057629</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(12)</volume><pubmed_abstract>Tandem mass spectrometry (MS/MS) is the gold standard for intact glycopeptide identification, enabling peptide sequence elucidation and site-specific localization of glycan compositions. Beam-type collisional activation is generally sufficient for &lt;i>N-&lt;/i>glycopeptides, while electron-driven dissociation is crucial for site localization in &lt;i>O-&lt;/i>glycopeptides. Modern glycoproteomic methods often employ multiple dissociation techniques within a single LC-MS/MS analysis, but this approach frequently sacrifices sensitivity when analyzing multiple glycopeptide classes simultaneously. Here we explore the utility of intelligent data acquisition for glycoproteomics through real-time library searching (RTLS) to match oxonium ion patterns for on-the-fly selection of the appropriate dissociation</pubmed_abstract><journal>Journal of proteome research</journal><pubmed_title>Autonomous Dissociation-type Selection for Glycoproteomics Using a Real-Time Library Search.</pubmed_title><pmcid>PMC12057629</pmcid><funding_grant_id>R00 GM147304</funding_grant_id><funding_grant_id>R00GM147304</funding_grant_id><pubmed_authors>Russell JH</pubmed_authors><pubmed_authors>Bergen D</pubmed_authors><pubmed_authors>McAlister GC</pubmed_authors><pubmed_authors>Huang J</pubmed_authors><pubmed_authors>Huguet R</pubmed_authors><pubmed_authors>Zabrouskov V</pubmed_authors><pubmed_authors>Barshop WD</pubmed_authors><pubmed_authors>Mullen C</pubmed_authors><pubmed_authors>Sutherland E</pubmed_authors><pubmed_authors>Riley NM</pubmed_authors><pubmed_authors>Kothlow K</pubmed_authors><pubmed_authors>Canterbury JD</pubmed_authors><pubmed_authors>Veth TS</pubmed_authors></additional><is_claimable>false</is_claimable><name>Autonomous Dissociation-type Selection for Glycoproteomics Using a Real-Time Library Search.</name><description>Tandem mass spectrometry (MS/MS) is the gold standard for intact glycopeptide identification, enabling peptide sequence elucidation and site-specific localization of glycan compositions. Beam-type collisional activation is generally sufficient for &lt;i>N-&lt;/i>glycopeptides, while electron-driven dissociation is crucial for site localization in &lt;i>O-&lt;/i>glycopeptides. Modern glycoproteomic methods often employ multiple dissociation techniques within a single LC-MS/MS analysis, but this approach frequently sacrifices sensitivity when analyzing multiple glycopeptide classes simultaneously. Here we explore the utility of intelligent data acquisition for glycoproteomics through real-time library searching (RTLS) to match oxonium ion patterns for on-the-fly selection of the appropriate dissociation</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2026-06-10T05:17:21.071Z</modification><creation>2026-06-10T03:07:19.018Z</creation></dates><accession>S-EPMC12057629</accession><cross_references><pubmed>39531532</pubmed><doi>10.1021/acs.jproteome.4c00723</doi></cross_references></HashMap>