<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Jiang Y</submitter><funding>National Institute of General Medical Sciences</funding><pagination>677-685</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9850400</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>95(2)</volume><pubmed_abstract>Large-scale proteome analysis requires rapid and high-throughput analytical methods. We recently reported a new paradigm in proteome analysis where direct infusion and ion mobility are used instead of liquid chromatography (LC) to achieve rapid and high-throughput proteome analysis. Here, we introduce an improved direct infusion shotgun proteome analysis protocol including label-free quantification (DISPA-LFQ) using CsoDIAq software. With CsoDIAq analysis of DISPA data, we can now identify up to ∼2000 proteins from the HeLa and 293T proteomes, and with DISPA-LFQ, we can quantify ∼1000 proteins from no more than 1 μg of sample within minutes. The identified proteins are involved in numerous valuable pathways including central carbon metabolism, nucleic acid replication and transport, protein synthesis, and endocytosis. Together with a high-throughput sample preparation method in a 96-well plate, we further demonstrate the utility of this technology for performing high-throughput drug analysis in human 293T cells. The total time for data collection from a whole 96-well plate is approximately 8 h. We conclude that the DISPA-LFQ strategy presents a valuable tool for fast identification and quantification of proteins in complex mixtures, which will power a high-throughput proteomic era of drug screening, biomarker discovery, and clinical analysis.</pubmed_abstract><journal>Analytical chemistry</journal><pubmed_title>Label-Free Quantification from Direct Infusion Shotgun Proteome Analysis (DISPA-LFQ) with CsoDIAq Software.</pubmed_title><pmcid>PMC9850400</pmcid><funding_grant_id>R35GM142502</funding_grant_id><pubmed_authors>Jiang Y</pubmed_authors><pubmed_authors>Meyer JG</pubmed_authors><pubmed_authors>Cranney CW</pubmed_authors><pubmed_authors>Hutton A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Label-Free Quantification from Direct Infusion Shotgun Proteome Analysis (DISPA-LFQ) with CsoDIAq Software.</name><description>Large-scale proteome analysis requires rapid and high-throughput analytical methods. We recently reported a new paradigm in proteome analysis where direct infusion and ion mobility are used instead of liquid chromatography (LC) to achieve rapid and high-throughput proteome analysis. Here, we introduce an improved direct infusion shotgun proteome analysis protocol including label-free quantification (DISPA-LFQ) using CsoDIAq software. With CsoDIAq analysis of DISPA data, we can now identify up to ∼2000 proteins from the HeLa and 293T proteomes, and with DISPA-LFQ, we can quantify ∼1000 proteins from no more than 1 μg of sample within minutes. The identified proteins are involved in numerous valuable pathways including central carbon metabolism, nucleic acid replication and transport, protein synthesis, and endocytosis. Together with a high-throughput sample preparation method in a 96-well plate, we further demonstrate the utility of this technology for performing high-throughput drug analysis in human 293T cells. The total time for data collection from a whole 96-well plate is approximately 8 h. We conclude that the DISPA-LFQ strategy presents a valuable tool for fast identification and quantification of proteins in complex mixtures, which will power a high-throughput proteomic era of drug screening, biomarker discovery, and clinical analysis.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2024-11-09T02:23:33.47Z</modification><creation>2024-11-09T02:23:33.47Z</creation></dates><accession>S-EPMC9850400</accession><cross_references><pubmed>36527718</pubmed><doi>10.1021/acs.analchem.2c02249</doi></cross_references></HashMap>