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Application of Parallel Reaction Monitoring in (15)N Labeled Samples for Quantification
Accurate relative quantification is critical in proteomic studies. The incorporation of stable isotope (15)N to plant-expressed proteins in vivo is a powerful tool for accurate quantification with a major advantage of reducing preparative and analytical variabilities. However, (15)N labeling quantif...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9111532/ https://www.ncbi.nlm.nih.gov/pubmed/35592564 http://dx.doi.org/10.3389/fpls.2022.832585 |
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author | Reyes, Andres V. Shrestha, Ruben Baker, Peter R. Chalkley, Robert J. Xu, Shou-Ling |
author_facet | Reyes, Andres V. Shrestha, Ruben Baker, Peter R. Chalkley, Robert J. Xu, Shou-Ling |
author_sort | Reyes, Andres V. |
collection | PubMed |
description | Accurate relative quantification is critical in proteomic studies. The incorporation of stable isotope (15)N to plant-expressed proteins in vivo is a powerful tool for accurate quantification with a major advantage of reducing preparative and analytical variabilities. However, (15)N labeling quantification has several challenges. Less identifications are often observed in the heavy-labeled samples because of incomplete labeling, resulting in missing values in reciprocal labeling experiments. Inaccurate quantification can happen when there is contamination from co-eluting peptides or chemical noise in the MS(1) survey scan. These drawbacks in quantification can be more pronounced in less abundant but biologically interesting proteins, which often have very few identified peptides. Here, we demonstrate the application of parallel reaction monitoring (PRM) to (15)N labeled samples on a high resolution, high mass accuracy Orbitrap mass spectrometer to achieve reliable quantification even of low abundance proteins in samples. |
format | Online Article Text |
id | pubmed-9111532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91115322022-05-18 Application of Parallel Reaction Monitoring in (15)N Labeled Samples for Quantification Reyes, Andres V. Shrestha, Ruben Baker, Peter R. Chalkley, Robert J. Xu, Shou-Ling Front Plant Sci Plant Science Accurate relative quantification is critical in proteomic studies. The incorporation of stable isotope (15)N to plant-expressed proteins in vivo is a powerful tool for accurate quantification with a major advantage of reducing preparative and analytical variabilities. However, (15)N labeling quantification has several challenges. Less identifications are often observed in the heavy-labeled samples because of incomplete labeling, resulting in missing values in reciprocal labeling experiments. Inaccurate quantification can happen when there is contamination from co-eluting peptides or chemical noise in the MS(1) survey scan. These drawbacks in quantification can be more pronounced in less abundant but biologically interesting proteins, which often have very few identified peptides. Here, we demonstrate the application of parallel reaction monitoring (PRM) to (15)N labeled samples on a high resolution, high mass accuracy Orbitrap mass spectrometer to achieve reliable quantification even of low abundance proteins in samples. Frontiers Media S.A. 2022-05-03 /pmc/articles/PMC9111532/ /pubmed/35592564 http://dx.doi.org/10.3389/fpls.2022.832585 Text en Copyright © 2022 Reyes, Shrestha, Baker, Chalkley and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Reyes, Andres V. Shrestha, Ruben Baker, Peter R. Chalkley, Robert J. Xu, Shou-Ling Application of Parallel Reaction Monitoring in (15)N Labeled Samples for Quantification |
title | Application of Parallel Reaction Monitoring in (15)N Labeled Samples for Quantification |
title_full | Application of Parallel Reaction Monitoring in (15)N Labeled Samples for Quantification |
title_fullStr | Application of Parallel Reaction Monitoring in (15)N Labeled Samples for Quantification |
title_full_unstemmed | Application of Parallel Reaction Monitoring in (15)N Labeled Samples for Quantification |
title_short | Application of Parallel Reaction Monitoring in (15)N Labeled Samples for Quantification |
title_sort | application of parallel reaction monitoring in (15)n labeled samples for quantification |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9111532/ https://www.ncbi.nlm.nih.gov/pubmed/35592564 http://dx.doi.org/10.3389/fpls.2022.832585 |
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