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The TriMet_DB: A Manually Curated Database of the Metabolic Proteins of Triticum aestivum
Mass-spectrometry-based wheat proteomics is challenging because the current interpretation of mass spectrometry data relies on public databases that are not exhaustive (UniProtKB/Swiss-Prot) or contain many redundant and poor or un-annotated entries (UniProtKB/TrEMBL). Here, we report the developmen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781733/ https://www.ncbi.nlm.nih.gov/pubmed/36558536 http://dx.doi.org/10.3390/nu14245377 |
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author | Cunsolo, Vincenzo Di Francesco, Antonella Pittalà, Maria Gaetana Giovanna Saletti, Rosaria Foti, Salvatore |
author_facet | Cunsolo, Vincenzo Di Francesco, Antonella Pittalà, Maria Gaetana Giovanna Saletti, Rosaria Foti, Salvatore |
author_sort | Cunsolo, Vincenzo |
collection | PubMed |
description | Mass-spectrometry-based wheat proteomics is challenging because the current interpretation of mass spectrometry data relies on public databases that are not exhaustive (UniProtKB/Swiss-Prot) or contain many redundant and poor or un-annotated entries (UniProtKB/TrEMBL). Here, we report the development of a manually curated database of the metabolic proteins of Triticum aestivum (hexaploid wheat), named TriMet_DB (Triticum aestivum Metabolic Proteins DataBase). The manually curated TriMet_DB was generated in FASTA format so that it can be read directly by programs used to interpret the mass spectrometry data. Furthermore, the complete list of entries included in the TriMet_DB is reported in a freely available resource, which includes for each protein the description, the gene code, the protein family, and the allergen name (if any). To evaluate its performance, the TriMet_DB was used to interpret the MS data acquired on the metabolic protein fraction extracted from the cultivar MEC of Triticum aestivum. Data are available via ProteomeXchange with identifier PXD037709. |
format | Online Article Text |
id | pubmed-9781733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97817332022-12-24 The TriMet_DB: A Manually Curated Database of the Metabolic Proteins of Triticum aestivum Cunsolo, Vincenzo Di Francesco, Antonella Pittalà, Maria Gaetana Giovanna Saletti, Rosaria Foti, Salvatore Nutrients Article Mass-spectrometry-based wheat proteomics is challenging because the current interpretation of mass spectrometry data relies on public databases that are not exhaustive (UniProtKB/Swiss-Prot) or contain many redundant and poor or un-annotated entries (UniProtKB/TrEMBL). Here, we report the development of a manually curated database of the metabolic proteins of Triticum aestivum (hexaploid wheat), named TriMet_DB (Triticum aestivum Metabolic Proteins DataBase). The manually curated TriMet_DB was generated in FASTA format so that it can be read directly by programs used to interpret the mass spectrometry data. Furthermore, the complete list of entries included in the TriMet_DB is reported in a freely available resource, which includes for each protein the description, the gene code, the protein family, and the allergen name (if any). To evaluate its performance, the TriMet_DB was used to interpret the MS data acquired on the metabolic protein fraction extracted from the cultivar MEC of Triticum aestivum. Data are available via ProteomeXchange with identifier PXD037709. MDPI 2022-12-18 /pmc/articles/PMC9781733/ /pubmed/36558536 http://dx.doi.org/10.3390/nu14245377 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cunsolo, Vincenzo Di Francesco, Antonella Pittalà, Maria Gaetana Giovanna Saletti, Rosaria Foti, Salvatore The TriMet_DB: A Manually Curated Database of the Metabolic Proteins of Triticum aestivum |
title | The TriMet_DB: A Manually Curated Database of the Metabolic Proteins of Triticum aestivum |
title_full | The TriMet_DB: A Manually Curated Database of the Metabolic Proteins of Triticum aestivum |
title_fullStr | The TriMet_DB: A Manually Curated Database of the Metabolic Proteins of Triticum aestivum |
title_full_unstemmed | The TriMet_DB: A Manually Curated Database of the Metabolic Proteins of Triticum aestivum |
title_short | The TriMet_DB: A Manually Curated Database of the Metabolic Proteins of Triticum aestivum |
title_sort | trimet_db: a manually curated database of the metabolic proteins of triticum aestivum |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781733/ https://www.ncbi.nlm.nih.gov/pubmed/36558536 http://dx.doi.org/10.3390/nu14245377 |
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