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Software-Assisted Data Processing Workflow for Intact Glycoprotein Mass Spectrometry
[Image: see text] Intact protein analysis by mass spectrometry is important for several applications such as assessing post-translational modifications and biotransformation. In particular, intact protein analysis allows the detection of proteoforms that are commonly missed by other approaches such...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088042/ https://www.ncbi.nlm.nih.gov/pubmed/36857466 http://dx.doi.org/10.1021/acs.jproteome.2c00762 |
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author | Moran, Alan B. Domínguez-Vega, Elena Wuhrer, Manfred Lageveen-Kammeijer, Guinevere S. M. |
author_facet | Moran, Alan B. Domínguez-Vega, Elena Wuhrer, Manfred Lageveen-Kammeijer, Guinevere S. M. |
author_sort | Moran, Alan B. |
collection | PubMed |
description | [Image: see text] Intact protein analysis by mass spectrometry is important for several applications such as assessing post-translational modifications and biotransformation. In particular, intact protein analysis allows the detection of proteoforms that are commonly missed by other approaches such as proteolytic digestion followed by bottom-up analysis. Two quantification methods are mainly used for intact protein data quantification, namely the extracted ion and deconvolution approaches. However, a consensus with regard to a single best practice for intact protein data processing is lacking. Furthermore, many data processing tools are not fit-for-purpose and, as a result, the analysis of intact proteins is laborious and lacks the throughput required to be implemented for the analysis of clinical cohorts. Therefore, in this study, we investigated the application of a software-assisted data analysis and processing workflow in order to streamline intact protein integration, annotation, and quantification via deconvolution. In addition, the assessment of orthogonal data sets generated via middle-up and bottom-up analysis enabled the cross-validation of cleavage proteoform assignments present in seminal prostate-specific antigen (PSA). Furthermore, deconvolution quantification of PSA from patients’ urine revealed results that were comparable with manually performed quantification based on extracted ion electropherograms. Overall, the presented workflow allows fast and efficient processing of intact protein data. The raw data is available on MassIVE using the identifier MSV000086699. |
format | Online Article Text |
id | pubmed-10088042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100880422023-04-12 Software-Assisted Data Processing Workflow for Intact Glycoprotein Mass Spectrometry Moran, Alan B. Domínguez-Vega, Elena Wuhrer, Manfred Lageveen-Kammeijer, Guinevere S. M. J Proteome Res [Image: see text] Intact protein analysis by mass spectrometry is important for several applications such as assessing post-translational modifications and biotransformation. In particular, intact protein analysis allows the detection of proteoforms that are commonly missed by other approaches such as proteolytic digestion followed by bottom-up analysis. Two quantification methods are mainly used for intact protein data quantification, namely the extracted ion and deconvolution approaches. However, a consensus with regard to a single best practice for intact protein data processing is lacking. Furthermore, many data processing tools are not fit-for-purpose and, as a result, the analysis of intact proteins is laborious and lacks the throughput required to be implemented for the analysis of clinical cohorts. Therefore, in this study, we investigated the application of a software-assisted data analysis and processing workflow in order to streamline intact protein integration, annotation, and quantification via deconvolution. In addition, the assessment of orthogonal data sets generated via middle-up and bottom-up analysis enabled the cross-validation of cleavage proteoform assignments present in seminal prostate-specific antigen (PSA). Furthermore, deconvolution quantification of PSA from patients’ urine revealed results that were comparable with manually performed quantification based on extracted ion electropherograms. Overall, the presented workflow allows fast and efficient processing of intact protein data. The raw data is available on MassIVE using the identifier MSV000086699. American Chemical Society 2023-03-01 /pmc/articles/PMC10088042/ /pubmed/36857466 http://dx.doi.org/10.1021/acs.jproteome.2c00762 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Moran, Alan B. Domínguez-Vega, Elena Wuhrer, Manfred Lageveen-Kammeijer, Guinevere S. M. Software-Assisted Data Processing Workflow for Intact Glycoprotein Mass Spectrometry |
title | Software-Assisted
Data Processing Workflow for Intact
Glycoprotein Mass Spectrometry |
title_full | Software-Assisted
Data Processing Workflow for Intact
Glycoprotein Mass Spectrometry |
title_fullStr | Software-Assisted
Data Processing Workflow for Intact
Glycoprotein Mass Spectrometry |
title_full_unstemmed | Software-Assisted
Data Processing Workflow for Intact
Glycoprotein Mass Spectrometry |
title_short | Software-Assisted
Data Processing Workflow for Intact
Glycoprotein Mass Spectrometry |
title_sort | software-assisted
data processing workflow for intact
glycoprotein mass spectrometry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088042/ https://www.ncbi.nlm.nih.gov/pubmed/36857466 http://dx.doi.org/10.1021/acs.jproteome.2c00762 |
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