{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Erickson BK"],"funding":["National Institute of Diabetes and Digestive and Kidney Diseases","NIDDK NIH HHS","National Human Genome Research Institute","NIGMS NIH HHS"],"pagination":["1299-1306"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7081948"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["18(3)"],"pubmed_abstract":["Quantitative proteomics employing isobaric reagents has been established as a powerful tool for biological discovery. Current workflows often utilize a dedicated quantitative spectrum to improve quantitative accuracy and precision. A consequence of this approach is a dramatic reduction in the spectral acquisition rate, which necessitates the use of additional instrument time to achieve comprehensive proteomic depth. This work assesses the performance and benefits of online and real-time spectral identification in quantitative multiplexed workflows. A Real-Time Search (RTS) algorithm was implemented to identify fragment spectra within milliseconds as they are acquired using a probabilistic score and to trigger quantitative spectra only upon confident peptide identification. The RTS-MS<sup>3"],"journal":["Journal of proteome research"],"pubmed_title":["Active Instrument Engagement Combined with a Real-Time Database Search for Improved Performance of Sample Multiplexing Workflows."],"pmcid":["PMC7081948"],"funding_grant_id":["R01 GM132129","K01 DK098285","HG096745","DK092825","R01 GM067945"],"pubmed_authors":["Navarrete-Perea J","Mintseris J","Erickson AR","Paulo JA","Nusinow DP","Gygi SP","Schweppe DK","Erickson BK"],"additional_accession":[]},"is_claimable":false,"name":"Active Instrument Engagement Combined with a Real-Time Database Search for Improved Performance of Sample Multiplexing Workflows.","description":"Quantitative proteomics employing isobaric reagents has been established as a powerful tool for biological discovery. Current workflows often utilize a dedicated quantitative spectrum to improve quantitative accuracy and precision. A consequence of this approach is a dramatic reduction in the spectral acquisition rate, which necessitates the use of additional instrument time to achieve comprehensive proteomic depth. This work assesses the performance and benefits of online and real-time spectral identification in quantitative multiplexed workflows. A Real-Time Search (RTS) algorithm was implemented to identify fragment spectra within milliseconds as they are acquired using a probabilistic score and to trigger quantitative spectra only upon confident peptide identification. The RTS-MS<sup>3","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Mar","modification":"2025-04-05T14:07:16.362Z","creation":"2020-10-29T12:17:16Z"},"accession":"S-EPMC7081948","cross_references":{"pubmed":["30658528"],"doi":["10.1021/acs.jproteome.8b00899"]}}