<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Weisbrod CR</submitter><funding>NCRR NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>1621-32</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3319072</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(3)</volume><pubmed_abstract>Fourier transform-all reaction monitoring (FT-ARM) is a novel approach for the identification and quantification of peptides that relies upon the selectivity of high mass accuracy data and the specificity of peptide fragmentation patterns. An FT-ARM experiment involves continuous, data-independent, high mass accuracy MS/MS acquisition spanning a defined m/z range. Custom software was developed to search peptides against the multiplexed fragmentation spectra by comparing theoretical or empirical fragment ions against every fragmentation spectrum across the entire acquisition. A dot product score is calculated against each spectrum to generate a score chromatogram used for both identification and quantification. Chromatographic elution profile characteristics are not used to cluster precursor peptide signals to their respective fragment ions. FT-ARM identifications are demonstrated to be complementary to conventional data-dependent shotgun analysis, especially in cases where the data-dependent method fails because of fragmenting multiple overlapping precursors. The sensitivity, robustness, and specificity of FT-ARM quantification are shown to be analogous to selected reaction monitoring-based peptide quantification with the added benefit of minimal assay development. Thus, FT-ARM is demonstrated to be a novel and complementary data acquisition, identification, and quantification method for the large scale analysis of peptides.</pubmed_abstract><journal>Journal of proteome research</journal><pubmed_title>Accurate peptide fragment mass analysis: multiplexed peptide identification and quantification.</pubmed_title><pmcid>PMC3319072</pmcid><funding_grant_id>S10 RR025107</funding_grant_id><funding_grant_id>R01 GM086688-03</funding_grant_id><funding_grant_id>R01 GM086688</funding_grant_id><funding_grant_id>1R01GM097112</funding_grant_id><funding_grant_id>S10 RR025107-02</funding_grant_id><funding_grant_id>7S10RR025107</funding_grant_id><funding_grant_id>R01 RR023334</funding_grant_id><funding_grant_id>R01 GM097112-01</funding_grant_id><funding_grant_id>5R01RR023334</funding_grant_id><funding_grant_id>R01 RR023334-04</funding_grant_id><funding_grant_id>R01 GM097112</funding_grant_id><funding_grant_id>5R01GM086688</funding_grant_id><pubmed_authors>Hoopmann MR</pubmed_authors><pubmed_authors>Weisbrod CR</pubmed_authors><pubmed_authors>Eng JK</pubmed_authors><pubmed_authors>Bruce JE</pubmed_authors><pubmed_authors>Baker T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Accurate peptide fragment mass analysis: multiplexed peptide identification and quantification.</name><description>Fourier transform-all reaction monitoring (FT-ARM) is a novel approach for the identification and quantification of peptides that relies upon the selectivity of high mass accuracy data and the specificity of peptide fragmentation patterns. An FT-ARM experiment involves continuous, data-independent, high mass accuracy MS/MS acquisition spanning a defined m/z range. Custom software was developed to search peptides against the multiplexed fragmentation spectra by comparing theoretical or empirical fragment ions against every fragmentation spectrum across the entire acquisition. A dot product score is calculated against each spectrum to generate a score chromatogram used for both identification and quantification. Chromatographic elution profile characteristics are not used to cluster precursor peptide signals to their respective fragment ions. FT-ARM identifications are demonstrated to be complementary to conventional data-dependent shotgun analysis, especially in cases where the data-dependent method fails because of fragmenting multiple overlapping precursors. The sensitivity, robustness, and specificity of FT-ARM quantification are shown to be analogous to selected reaction monitoring-based peptide quantification with the added benefit of minimal assay development. Thus, FT-ARM is demonstrated to be a novel and complementary data acquisition, identification, and quantification method for the large scale analysis of peptides.</description><dates><release>2012-01-01T00:00:00Z</release><publication>2012 Mar</publication><modification>2025-04-21T16:33:29.385Z</modification><creation>2019-03-27T00:51:56Z</creation></dates><accession>S-EPMC3319072</accession><cross_references><pubmed>22288382</pubmed><doi>10.1021/pr2008175</doi></cross_references></HashMap>