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Assessment of Sample Preparation Bias in Mass Spectrometry-Based Proteomics
[Image: see text] For mass spectrometry-based proteomics, the selected sample preparation strategy is a key determinant for information that will be obtained. However, the corresponding selection is often not based on a fit-for-purpose evaluation. Here we report a comparison of in-gel (IGD), in-solu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical
Society
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5906755/ https://www.ncbi.nlm.nih.gov/pubmed/29608294 http://dx.doi.org/10.1021/acs.analchem.8b00600 |
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author | Klont, Frank Bras, Linda Wolters, Justina C. Ongay, Sara Bischoff, Rainer Halmos, Gyorgy B. Horvatovich, Péter |
author_facet | Klont, Frank Bras, Linda Wolters, Justina C. Ongay, Sara Bischoff, Rainer Halmos, Gyorgy B. Horvatovich, Péter |
author_sort | Klont, Frank |
collection | PubMed |
description | [Image: see text] For mass spectrometry-based proteomics, the selected sample preparation strategy is a key determinant for information that will be obtained. However, the corresponding selection is often not based on a fit-for-purpose evaluation. Here we report a comparison of in-gel (IGD), in-solution (ISD), on-filter (OFD), and on-pellet digestion (OPD) workflows on the basis of targeted (QconCAT-multiple reaction monitoring (MRM) method for mitochondrial proteins) and discovery proteomics (data-dependent acquisition, DDA) analyses using three different human head and neck tissues (i.e., nasal polyps, parotid gland, and palatine tonsils). Our study reveals differences between the sample preparation methods, for example, with respect to protein and peptide losses, quantification variability, protocol-induced methionine oxidation, and asparagine/glutamine deamidation as well as identification of cysteine-containing peptides. However, none of the methods performed best for all types of tissues, which argues against the existence of a universal sample preparation method for proteome analysis. |
format | Online Article Text |
id | pubmed-5906755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American
Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-59067552018-04-20 Assessment of Sample Preparation Bias in Mass Spectrometry-Based Proteomics Klont, Frank Bras, Linda Wolters, Justina C. Ongay, Sara Bischoff, Rainer Halmos, Gyorgy B. Horvatovich, Péter Anal Chem [Image: see text] For mass spectrometry-based proteomics, the selected sample preparation strategy is a key determinant for information that will be obtained. However, the corresponding selection is often not based on a fit-for-purpose evaluation. Here we report a comparison of in-gel (IGD), in-solution (ISD), on-filter (OFD), and on-pellet digestion (OPD) workflows on the basis of targeted (QconCAT-multiple reaction monitoring (MRM) method for mitochondrial proteins) and discovery proteomics (data-dependent acquisition, DDA) analyses using three different human head and neck tissues (i.e., nasal polyps, parotid gland, and palatine tonsils). Our study reveals differences between the sample preparation methods, for example, with respect to protein and peptide losses, quantification variability, protocol-induced methionine oxidation, and asparagine/glutamine deamidation as well as identification of cysteine-containing peptides. However, none of the methods performed best for all types of tissues, which argues against the existence of a universal sample preparation method for proteome analysis. American Chemical Society 2018-04-02 2018-04-17 /pmc/articles/PMC5906755/ /pubmed/29608294 http://dx.doi.org/10.1021/acs.analchem.8b00600 Text en Copyright © 2018 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Klont, Frank Bras, Linda Wolters, Justina C. Ongay, Sara Bischoff, Rainer Halmos, Gyorgy B. Horvatovich, Péter Assessment of Sample Preparation Bias in Mass Spectrometry-Based Proteomics |
title | Assessment of Sample Preparation Bias in Mass Spectrometry-Based
Proteomics |
title_full | Assessment of Sample Preparation Bias in Mass Spectrometry-Based
Proteomics |
title_fullStr | Assessment of Sample Preparation Bias in Mass Spectrometry-Based
Proteomics |
title_full_unstemmed | Assessment of Sample Preparation Bias in Mass Spectrometry-Based
Proteomics |
title_short | Assessment of Sample Preparation Bias in Mass Spectrometry-Based
Proteomics |
title_sort | assessment of sample preparation bias in mass spectrometry-based
proteomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5906755/ https://www.ncbi.nlm.nih.gov/pubmed/29608294 http://dx.doi.org/10.1021/acs.analchem.8b00600 |
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