<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shuken SR</submitter><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>1834-1843</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11068481</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(5)</volume><pubmed_abstract>GoDig, a platform for targeted pathway proteomics without the need for manual assay scheduling or synthetic standards, is a powerful, flexible, and easy-to-use method that uses tandem mass tags to increase sample throughput up to 18-fold relative to label-free methods. Though the protein-level success rates of GoDig are high, the peptide-level success rates are more limited, hampering assays of harder-to-quantify proteins and site-specific phenomena. To guide the optimization of GoDig assays as well as improvements to the GoDig platform, we created GoDigViewer, a new stand-alone software that provides detailed visualizations of GoDig runs. GoDigViewer guided the implementation of "priming runs," an acquisition mode with significantly higher success rates. In this mode, two or more chromato</pubmed_abstract><journal>Journal of proteome research</journal><pubmed_title>Inserting Pre-analytical Chromatographic Priming Runs Significantly Improves Targeted Pathway Proteomics with Sample Multiplexing.</pubmed_title><pmcid>PMC11068481</pmcid><funding_grant_id>GM067945</funding_grant_id><funding_grant_id>R01 GM067945</funding_grant_id><pubmed_authors>Shuken SR</pubmed_authors><pubmed_authors>Yu Q</pubmed_authors><pubmed_authors>Gygi SP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Inserting Pre-analytical Chromatographic Priming Runs Significantly Improves Targeted Pathway Proteomics with Sample Multiplexing.</name><description>GoDig, a platform for targeted pathway proteomics without the need for manual assay scheduling or synthetic standards, is a powerful, flexible, and easy-to-use method that uses tandem mass tags to increase sample throughput up to 18-fold relative to label-free methods. Though the protein-level success rates of GoDig are high, the peptide-level success rates are more limited, hampering assays of harder-to-quantify proteins and site-specific phenomena. To guide the optimization of GoDig assays as well as improvements to the GoDig platform, we created GoDigViewer, a new stand-alone software that provides detailed visualizations of GoDig runs. GoDigViewer guided the implementation of "priming runs," an acquisition mode with significantly higher success rates. In this mode, two or more chromato</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 May</publication><modification>2026-06-01T09:54:58.141Z</modification><creation>2025-04-04T00:45:46.879Z</creation></dates><accession>S-EPMC11068481</accession><cross_references><pubmed>38594897</pubmed><doi>10.1021/acs.jproteome.4c00096</doi></cross_references></HashMap>