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PaxDb 5.0: Curated Protein Quantification Data Suggests Adaptive Proteome Changes in Yeasts
The “Protein Abundances Across Organisms” database (PaxDb) is an integrative metaresource dedicated to protein abundance levels, in tissue-specific or whole-organism proteomes. PaxDb focuses on computing best-estimate abundances for proteins in normal/healthy contexts and expresses abundance values...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Society for Biochemistry and Molecular Biology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551891/ https://www.ncbi.nlm.nih.gov/pubmed/37659604 http://dx.doi.org/10.1016/j.mcpro.2023.100640 |
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author | Huang, Qingyao Szklarczyk, Damian Wang, Mingcong Simonovic, Milan von Mering, Christian |
author_facet | Huang, Qingyao Szklarczyk, Damian Wang, Mingcong Simonovic, Milan von Mering, Christian |
author_sort | Huang, Qingyao |
collection | PubMed |
description | The “Protein Abundances Across Organisms” database (PaxDb) is an integrative metaresource dedicated to protein abundance levels, in tissue-specific or whole-organism proteomes. PaxDb focuses on computing best-estimate abundances for proteins in normal/healthy contexts and expresses abundance values for each protein in “parts per million” in relation to all other protein molecules in the cell. The uniform data reprocessing, quality scoring, and integrated orthology relations have made PaxDb one of the preferred tools for comparisons between individual datasets, tissues, or organisms. In describing the latest version 5.0 of PaxDb, we particularly emphasize the data integration from various types of raw data and how we expanded the number of organisms and tissue groups as well as the proteome coverage. The current collection of PaxDb includes 831 original datasets from 170 species, including 22 Archaea, 81 Bacteria, and 67 Eukaryota. Apart from detailing the data update, we also present a comparative analysis of the human proteome subset of PaxDb against the two most widely used human proteome data resources: Human Protein Atlas and Genotype-Tissue Expression. Lastly, through our protein abundance data, we reveal an evolutionary trend in the usage of sulfur-containing amino acids in the proteomes of Fungi. |
format | Online Article Text |
id | pubmed-10551891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-105518912023-10-06 PaxDb 5.0: Curated Protein Quantification Data Suggests Adaptive Proteome Changes in Yeasts Huang, Qingyao Szklarczyk, Damian Wang, Mingcong Simonovic, Milan von Mering, Christian Mol Cell Proteomics Technological Innovation and Resources The “Protein Abundances Across Organisms” database (PaxDb) is an integrative metaresource dedicated to protein abundance levels, in tissue-specific or whole-organism proteomes. PaxDb focuses on computing best-estimate abundances for proteins in normal/healthy contexts and expresses abundance values for each protein in “parts per million” in relation to all other protein molecules in the cell. The uniform data reprocessing, quality scoring, and integrated orthology relations have made PaxDb one of the preferred tools for comparisons between individual datasets, tissues, or organisms. In describing the latest version 5.0 of PaxDb, we particularly emphasize the data integration from various types of raw data and how we expanded the number of organisms and tissue groups as well as the proteome coverage. The current collection of PaxDb includes 831 original datasets from 170 species, including 22 Archaea, 81 Bacteria, and 67 Eukaryota. Apart from detailing the data update, we also present a comparative analysis of the human proteome subset of PaxDb against the two most widely used human proteome data resources: Human Protein Atlas and Genotype-Tissue Expression. Lastly, through our protein abundance data, we reveal an evolutionary trend in the usage of sulfur-containing amino acids in the proteomes of Fungi. American Society for Biochemistry and Molecular Biology 2023-08-31 /pmc/articles/PMC10551891/ /pubmed/37659604 http://dx.doi.org/10.1016/j.mcpro.2023.100640 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technological Innovation and Resources Huang, Qingyao Szklarczyk, Damian Wang, Mingcong Simonovic, Milan von Mering, Christian PaxDb 5.0: Curated Protein Quantification Data Suggests Adaptive Proteome Changes in Yeasts |
title | PaxDb 5.0: Curated Protein Quantification Data Suggests Adaptive Proteome Changes in Yeasts |
title_full | PaxDb 5.0: Curated Protein Quantification Data Suggests Adaptive Proteome Changes in Yeasts |
title_fullStr | PaxDb 5.0: Curated Protein Quantification Data Suggests Adaptive Proteome Changes in Yeasts |
title_full_unstemmed | PaxDb 5.0: Curated Protein Quantification Data Suggests Adaptive Proteome Changes in Yeasts |
title_short | PaxDb 5.0: Curated Protein Quantification Data Suggests Adaptive Proteome Changes in Yeasts |
title_sort | paxdb 5.0: curated protein quantification data suggests adaptive proteome changes in yeasts |
topic | Technological Innovation and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551891/ https://www.ncbi.nlm.nih.gov/pubmed/37659604 http://dx.doi.org/10.1016/j.mcpro.2023.100640 |
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