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1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs
Quantitative mass-spectrometry-based methods to perform relative and absolute quantification of peptides in the immunopeptidome are growing in popularity as researchers aim to measure the dynamic nature of the peptide major histocompatibility complex repertoire and make copies-per-cell estimations o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216433/ https://www.ncbi.nlm.nih.gov/pubmed/35756972 http://dx.doi.org/10.1016/j.iotech.2021.100042 |
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author | Stopfer, L.E. D'Souza, A.D. White, F.M. |
author_facet | Stopfer, L.E. D'Souza, A.D. White, F.M. |
author_sort | Stopfer, L.E. |
collection | PubMed |
description | Quantitative mass-spectrometry-based methods to perform relative and absolute quantification of peptides in the immunopeptidome are growing in popularity as researchers aim to measure the dynamic nature of the peptide major histocompatibility complex repertoire and make copies-per-cell estimations of target antigens of interest. Multiple methods to carry out these experiments have been reported, each with unique advantages and limitations. This article describes existing methods and recent applications, offering guidance for improving quantitative accuracy and selecting an appropriate experimental set-up to maximize data quality and quantity. |
format | Online Article Text |
id | pubmed-9216433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-92164332022-06-24 1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs Stopfer, L.E. D'Souza, A.D. White, F.M. Immunooncol Technol Review Quantitative mass-spectrometry-based methods to perform relative and absolute quantification of peptides in the immunopeptidome are growing in popularity as researchers aim to measure the dynamic nature of the peptide major histocompatibility complex repertoire and make copies-per-cell estimations of target antigens of interest. Multiple methods to carry out these experiments have been reported, each with unique advantages and limitations. This article describes existing methods and recent applications, offering guidance for improving quantitative accuracy and selecting an appropriate experimental set-up to maximize data quality and quantity. Elsevier 2021-10-13 /pmc/articles/PMC9216433/ /pubmed/35756972 http://dx.doi.org/10.1016/j.iotech.2021.100042 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Stopfer, L.E. D'Souza, A.D. White, F.M. 1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs |
title | 1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs |
title_full | 1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs |
title_fullStr | 1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs |
title_full_unstemmed | 1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs |
title_short | 1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs |
title_sort | 1,2,3, mhc: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pmhcs |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216433/ https://www.ncbi.nlm.nih.gov/pubmed/35756972 http://dx.doi.org/10.1016/j.iotech.2021.100042 |
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