[期刊论文]


PaxDb 5.0: curated protein quantification data suggests adaptive proteome changes in yeasts

作   者:
Qingyao Huang;Damian Szklarczyk;Mingcong Wang;Milan Simonovic;Christian von Mering;

出版年:暂无

页    码:100640 - 100640
出版社:American Society for Biochemistry & Molecular Biology (ASBMB)


摘   要:

The "Protein Abundances Across Organisms" database (PaxDb) is an integrative meta-resource 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" (ppm) in relation to all other protein molecules in the cell. The uniform data re-processing, 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 emphasise 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 (HPA) and Genotype-Tissue Expression (GTEx). Lastly, through our protein abundance data, we reveal an evolutionary trend in the usage of sulfur-containing amino acids in the proteomes of Fungi.

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.



关键字:

database;mass spectrometry;protein abundance;proteome evolution;proteomics


所属期刊
Molecular & Cellular Proteomics
ISSN: 1535-9476
来自:American Society for Biochemistry & Molecular Biology (ASBMB)