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Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics

[Image: see text] Blood analysis is one of the foundations of clinical diagnostics. In recent years, the analysis of proteins in blood samples by mass spectrometry has taken a jump forward in terms of sensitivity and the number of identified proteins. The recent development of parallel reaction moni...

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Autores principales: Lesur, Antoine, Bernardin, François, Koncina, Eric, Letellier, Elisabeth, Kruppa, Gary, Schmit, Pierre-Olivier, Dittmar, Gunnar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243115/
https://www.ncbi.nlm.nih.gov/pubmed/37011904
http://dx.doi.org/10.1021/acs.jproteome.2c00575
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author Lesur, Antoine
Bernardin, François
Koncina, Eric
Letellier, Elisabeth
Kruppa, Gary
Schmit, Pierre-Olivier
Dittmar, Gunnar
author_facet Lesur, Antoine
Bernardin, François
Koncina, Eric
Letellier, Elisabeth
Kruppa, Gary
Schmit, Pierre-Olivier
Dittmar, Gunnar
author_sort Lesur, Antoine
collection PubMed
description [Image: see text] Blood analysis is one of the foundations of clinical diagnostics. In recent years, the analysis of proteins in blood samples by mass spectrometry has taken a jump forward in terms of sensitivity and the number of identified proteins. The recent development of parallel reaction monitoring with parallel accumulation and serial fragmentation (prm-PASEF) combines ion mobility as an additional separation dimension. This increases the proteome coverage while allowing the use of shorter chromatographic gradients. To demonstrate the method’s full potential, we used an isotope-labeled synthetic peptide mix of 782 peptides, derived from 579 plasma proteins, spiked into blood plasma samples with a prm-PASEF measurement allowing the quantification of 565 plasma proteins by targeted proteomics. As a less time-consuming alternative to the prm-PASEF method, we describe guided data independent acquisition (dia)-PASEF (g-dia-PASEF) and compare its application to prm-PASEF for measuring blood plasma. To demonstrate both methods’ performance in clinical samples, 20 patient plasma samples from a colorectal cancer (CRC) cohort were analyzed. The analysis identified 14 differentially regulated proteins between the CRC patient and control individual plasma samples. This shows the technique’s potential for the rapid and unbiased screening of blood proteins, abolishing the need for the preselection of potential biomarker proteins.
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spelling pubmed-102431152023-06-07 Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics Lesur, Antoine Bernardin, François Koncina, Eric Letellier, Elisabeth Kruppa, Gary Schmit, Pierre-Olivier Dittmar, Gunnar J Proteome Res [Image: see text] Blood analysis is one of the foundations of clinical diagnostics. In recent years, the analysis of proteins in blood samples by mass spectrometry has taken a jump forward in terms of sensitivity and the number of identified proteins. The recent development of parallel reaction monitoring with parallel accumulation and serial fragmentation (prm-PASEF) combines ion mobility as an additional separation dimension. This increases the proteome coverage while allowing the use of shorter chromatographic gradients. To demonstrate the method’s full potential, we used an isotope-labeled synthetic peptide mix of 782 peptides, derived from 579 plasma proteins, spiked into blood plasma samples with a prm-PASEF measurement allowing the quantification of 565 plasma proteins by targeted proteomics. As a less time-consuming alternative to the prm-PASEF method, we describe guided data independent acquisition (dia)-PASEF (g-dia-PASEF) and compare its application to prm-PASEF for measuring blood plasma. To demonstrate both methods’ performance in clinical samples, 20 patient plasma samples from a colorectal cancer (CRC) cohort were analyzed. The analysis identified 14 differentially regulated proteins between the CRC patient and control individual plasma samples. This shows the technique’s potential for the rapid and unbiased screening of blood proteins, abolishing the need for the preselection of potential biomarker proteins. American Chemical Society 2023-04-03 /pmc/articles/PMC10243115/ /pubmed/37011904 http://dx.doi.org/10.1021/acs.jproteome.2c00575 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Lesur, Antoine
Bernardin, François
Koncina, Eric
Letellier, Elisabeth
Kruppa, Gary
Schmit, Pierre-Olivier
Dittmar, Gunnar
Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics
title Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics
title_full Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics
title_fullStr Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics
title_full_unstemmed Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics
title_short Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics
title_sort quantification of 782 plasma peptides by multiplexed targeted proteomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243115/
https://www.ncbi.nlm.nih.gov/pubmed/37011904
http://dx.doi.org/10.1021/acs.jproteome.2c00575
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