Laura G. Rodriguez, Camille Lombard-Banek, Vi M. Quach, Sam B. Choi, M. Chiara Manzini, Peter Nemes
{"title":"毛细管电泳质谱蛋白质组学定量的多点验证:串联质量标签的等压复用","authors":"Laura G. Rodriguez, Camille Lombard-Banek, Vi M. Quach, Sam B. Choi, M. Chiara Manzini, Peter Nemes","doi":"10.1021/acs.analchem.5c01832","DOIUrl":null,"url":null,"abstract":"Multiplexing quantification using isobaric barcoding has gained traction in trace-sensitive and single-cell mass spectrometry (MS), both in nanoflow liquid chromatography (nanoLC) and capillary electrophoresis (CE). In nanoLC-MS, ratio compression from isobaric interferences is known to challenge quantification accuracy during tandem MS (MS<sup>2</sup>), which is effectively remedied using simultaneous precursor selection (SPS) MS<sup>3</sup>. Despite mounting interest in CE-MS for trace-sensitive bottom-up proteomics, the fidelity of multiplexed quantification is unknown using this technology. Here, we address this fundamental knowledge gap by holistically investigating quantification depth, reproducibility, and accuracy using a validated mouse–yeast two-proteome model. CE-based quantification via the MS<sup>2</sup> and SPS-MS<sup>3</sup> strategies were benchmarked against the nanoLC SPS-MS<sup>3</sup> gold standard. We found electrophoresis-correlative (Eco) ion sorting to order peptides into high-flux transients of nominally isobaric <i>m</i>/<i>z</i> values (Δ<i>m</i>/<i>z</i> < 1–2 Th). While the MS<sup>2</sup> approach struggled with ratio distortion, the SPS-MS<sup>3</sup> robustly eliminated them for both separations. The reproducibility and accuracy proved indistinguishable between CE and nanoLC using MS<sup>2</sup> or SPS-MS<sup>3</sup> quantification. CE enhanced the depth of quantification by ∼12-fold. These analytical insights can be used to design trace CE-MS studies with high scientific rigor.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"2 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multipoint Validation of Quantification in Capillary Electrophoresis Mass Spectrometry Proteomics: Isobaric Multiplexing with Tandem Mass Tags\",\"authors\":\"Laura G. Rodriguez, Camille Lombard-Banek, Vi M. Quach, Sam B. Choi, M. Chiara Manzini, Peter Nemes\",\"doi\":\"10.1021/acs.analchem.5c01832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiplexing quantification using isobaric barcoding has gained traction in trace-sensitive and single-cell mass spectrometry (MS), both in nanoflow liquid chromatography (nanoLC) and capillary electrophoresis (CE). In nanoLC-MS, ratio compression from isobaric interferences is known to challenge quantification accuracy during tandem MS (MS<sup>2</sup>), which is effectively remedied using simultaneous precursor selection (SPS) MS<sup>3</sup>. Despite mounting interest in CE-MS for trace-sensitive bottom-up proteomics, the fidelity of multiplexed quantification is unknown using this technology. Here, we address this fundamental knowledge gap by holistically investigating quantification depth, reproducibility, and accuracy using a validated mouse–yeast two-proteome model. CE-based quantification via the MS<sup>2</sup> and SPS-MS<sup>3</sup> strategies were benchmarked against the nanoLC SPS-MS<sup>3</sup> gold standard. We found electrophoresis-correlative (Eco) ion sorting to order peptides into high-flux transients of nominally isobaric <i>m</i>/<i>z</i> values (Δ<i>m</i>/<i>z</i> < 1–2 Th). While the MS<sup>2</sup> approach struggled with ratio distortion, the SPS-MS<sup>3</sup> robustly eliminated them for both separations. The reproducibility and accuracy proved indistinguishable between CE and nanoLC using MS<sup>2</sup> or SPS-MS<sup>3</sup> quantification. CE enhanced the depth of quantification by ∼12-fold. 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A Multipoint Validation of Quantification in Capillary Electrophoresis Mass Spectrometry Proteomics: Isobaric Multiplexing with Tandem Mass Tags
Multiplexing quantification using isobaric barcoding has gained traction in trace-sensitive and single-cell mass spectrometry (MS), both in nanoflow liquid chromatography (nanoLC) and capillary electrophoresis (CE). In nanoLC-MS, ratio compression from isobaric interferences is known to challenge quantification accuracy during tandem MS (MS2), which is effectively remedied using simultaneous precursor selection (SPS) MS3. Despite mounting interest in CE-MS for trace-sensitive bottom-up proteomics, the fidelity of multiplexed quantification is unknown using this technology. Here, we address this fundamental knowledge gap by holistically investigating quantification depth, reproducibility, and accuracy using a validated mouse–yeast two-proteome model. CE-based quantification via the MS2 and SPS-MS3 strategies were benchmarked against the nanoLC SPS-MS3 gold standard. We found electrophoresis-correlative (Eco) ion sorting to order peptides into high-flux transients of nominally isobaric m/z values (Δm/z < 1–2 Th). While the MS2 approach struggled with ratio distortion, the SPS-MS3 robustly eliminated them for both separations. The reproducibility and accuracy proved indistinguishable between CE and nanoLC using MS2 or SPS-MS3 quantification. CE enhanced the depth of quantification by ∼12-fold. These analytical insights can be used to design trace CE-MS studies with high scientific rigor.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.