<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bortel P</submitter><funding>European Commission Marie Sklodowska-Curie Actions</funding><funding>Osterreichische Forschungsgemeinschaft</funding><funding>University of Vienna</funding><funding>H2020</funding><funding>Novo Nordisk Foundation Center for Protein Research</funding><funding>European Commission</funding><funding>Novo Nordisk Fonden</funding><pagination>100754</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11087715</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(5)</volume><pubmed_abstract>Improving coverage, robustness, and sensitivity is crucial for routine phosphoproteomics analysis by single-shot liquid chromatography-tandem mass spectrometry (LC-MS/MS) from minimal peptide inputs. Here, we systematically optimized key experimental parameters for automated on-bead phosphoproteomics sample preparation with a focus on low-input samples. Assessing the number of identified phosphopeptides, enrichment efficiency, site localization scores, and relative enrichment of multiply-phosphorylated peptides pinpointed critical variables influencing the resulting phosphoproteome. Optimizing glycolic acid concentration in the loading buffer, percentage of ammonium hydroxide in the elution buffer, peptide-to-beads ratio, binding time, sample, and loading buffer volumes allowed us to confi</pubmed_abstract><journal>Molecular &amp; cellular proteomics : MCP</journal><pubmed_title>Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics.</pubmed_title><pmcid>PMC11087715</pmcid><funding_grant_id>PI Jesper Velgaard Olsen</funding_grant_id><pubmed_authors>Olsen JV</pubmed_authors><pubmed_authors>Gerner C</pubmed_authors><pubmed_authors>Martinez-Val A</pubmed_authors><pubmed_authors>Piga I</pubmed_authors><pubmed_authors>Koenig C</pubmed_authors><pubmed_authors>Bortel P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Systematic Optimization of Automated Phosphopeptide Enrichment for High-Sensitivity Phosphoproteomics.</name><description>Improving coverage, robustness, and sensitivity is crucial for routine phosphoproteomics analysis by single-shot liquid chromatography-tandem mass spectrometry (LC-MS/MS) from minimal peptide inputs. Here, we systematically optimized key experimental parameters for automated on-bead phosphoproteomics sample preparation with a focus on low-input samples. Assessing the number of identified phosphopeptides, enrichment efficiency, site localization scores, and relative enrichment of multiply-phosphorylated peptides pinpointed critical variables influencing the resulting phosphoproteome. Optimizing glycolic acid concentration in the loading buffer, percentage of ammonium hydroxide in the elution buffer, peptide-to-beads ratio, binding time, sample, and loading buffer volumes allowed us to confi</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 May</publication><modification>2026-06-02T06:09:28.785Z</modification><creation>2026-04-15T03:10:08.827Z</creation></dates><accession>S-EPMC11087715</accession><cross_references><pubmed>38548019</pubmed><doi>10.1016/j.mcpro.2024.100754</doi></cross_references></HashMap>