<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Salovska B</submitter><funding>National Institutes of Health</funding><funding>NIGMS NIH HHS</funding><pagination>3103-3111</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8959401</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>93(6)</volume><pubmed_abstract>The data-independent acquisition (DIA) performed in the latest high-resolution, high-speed mass spectrometers offers a powerful analytical tool for biological investigations. The DIA mass spectrometry (DIA-MS) combined with the isotopic labeling approach holds a particular promise for increasing the multiplexity of DIA-MS analysis, which could assist the relative protein quantification and the proteome-wide turnover profiling. However, the wide MS1 isolation windows employed in conventional DIA methods lead to a limited efficiency in identifying and quantifying isotope-labeled peptide pairs through peptide fragment ions. Here, we optimized a high-selectivity DIA-MS named BoxCarmax that supports the analysis of complex samples, such as those generated from Stable isotope labeling by amino a</pubmed_abstract><journal>Analytical chemistry</journal><pubmed_title>BoxCarmax: A High-Selectivity Data-Independent Acquisition Mass Spectrometry Method for the Analysis of Protein Turnover and Complex Samples.</pubmed_title><pmcid>PMC8959401</pmcid><funding_grant_id>R01 GM137031</funding_grant_id><funding_grant_id>R01GM137031</funding_grant_id><pubmed_authors>Li W</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Salovska B</pubmed_authors><pubmed_authors>Di Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>BoxCarmax: A High-Selectivity Data-Independent Acquisition Mass Spectrometry Method for the Analysis of Protein Turnover and Complex Samples.</name><description>The data-independent acquisition (DIA) performed in the latest high-resolution, high-speed mass spectrometers offers a powerful analytical tool for biological investigations. The DIA mass spectrometry (DIA-MS) combined with the isotopic labeling approach holds a particular promise for increasing the multiplexity of DIA-MS analysis, which could assist the relative protein quantification and the proteome-wide turnover profiling. However, the wide MS1 isolation windows employed in conventional DIA methods lead to a limited efficiency in identifying and quantifying isotope-labeled peptide pairs through peptide fragment ions. Here, we optimized a high-selectivity DIA-MS named BoxCarmax that supports the analysis of complex samples, such as those generated from Stable isotope labeling by amino a</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Feb</publication><modification>2026-05-31T13:01:07.634Z</modification><creation>2025-04-06T21:53:52.72Z</creation></dates><accession>S-EPMC8959401</accession><cross_references><pubmed>33533601</pubmed><doi>10.1021/acs.analchem.0c04293</doi></cross_references></HashMap>