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Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets
Methods for analyzing the terminal sequences of proteins have been refined over the previous decade; however, few studies have evaluated the quality of the data that have been produced from those methodologies. While performing global N-terminal labelling on bacteria, we observed that the labelling...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631386/ https://www.ncbi.nlm.nih.gov/pubmed/30934878 http://dx.doi.org/10.3390/proteomes7020011 |
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author | Hurtado Silva, Mariella Berry, Iain J. Strange, Natalie Djordjevic, Steven P. Padula, Matthew P. |
author_facet | Hurtado Silva, Mariella Berry, Iain J. Strange, Natalie Djordjevic, Steven P. Padula, Matthew P. |
author_sort | Hurtado Silva, Mariella |
collection | PubMed |
description | Methods for analyzing the terminal sequences of proteins have been refined over the previous decade; however, few studies have evaluated the quality of the data that have been produced from those methodologies. While performing global N-terminal labelling on bacteria, we observed that the labelling was not complete and investigated whether this was a common occurrence. We assessed the completeness of labelling in a selection of existing, publicly available N-terminomics datasets and empirically determined that amine-based labelling chemistry does not achieve complete labelling and potentially has issues with labelling amine groups at sequence-specific residues. This finding led us to conduct a thorough review of the historical literature that showed that this is not an unexpected finding, with numerous publications reporting incomplete labelling. These findings have implications for the quantitation of N-terminal peptides and the biological interpretations of these data. |
format | Online Article Text |
id | pubmed-6631386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66313862019-08-19 Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets Hurtado Silva, Mariella Berry, Iain J. Strange, Natalie Djordjevic, Steven P. Padula, Matthew P. Proteomes Technical Note Methods for analyzing the terminal sequences of proteins have been refined over the previous decade; however, few studies have evaluated the quality of the data that have been produced from those methodologies. While performing global N-terminal labelling on bacteria, we observed that the labelling was not complete and investigated whether this was a common occurrence. We assessed the completeness of labelling in a selection of existing, publicly available N-terminomics datasets and empirically determined that amine-based labelling chemistry does not achieve complete labelling and potentially has issues with labelling amine groups at sequence-specific residues. This finding led us to conduct a thorough review of the historical literature that showed that this is not an unexpected finding, with numerous publications reporting incomplete labelling. These findings have implications for the quantitation of N-terminal peptides and the biological interpretations of these data. MDPI 2019-03-29 /pmc/articles/PMC6631386/ /pubmed/30934878 http://dx.doi.org/10.3390/proteomes7020011 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technical Note Hurtado Silva, Mariella Berry, Iain J. Strange, Natalie Djordjevic, Steven P. Padula, Matthew P. Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets |
title | Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets |
title_full | Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets |
title_fullStr | Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets |
title_full_unstemmed | Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets |
title_short | Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets |
title_sort | terminomics methodologies and the completeness of reductive dimethylation: a meta-analysis of publicly available datasets |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631386/ https://www.ncbi.nlm.nih.gov/pubmed/30934878 http://dx.doi.org/10.3390/proteomes7020011 |
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