Cargando…

MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database

[Image: see text] The studies of microbial communities have drawn increased attention in various research fields such as agriculture, environment, and human health. Recently, metaproteomics has become a powerful tool to interpret the roles of the community members by investigating the expressed prot...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheng, Kai, Ning, Zhibin, Li, Leyuan, Zhang, Xu, Serrana, Joeselle M., Mayne, Janice, Figeys, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903328/
https://www.ncbi.nlm.nih.gov/pubmed/36508259
http://dx.doi.org/10.1021/acs.jproteome.2c00554
_version_ 1784883450021412864
author Cheng, Kai
Ning, Zhibin
Li, Leyuan
Zhang, Xu
Serrana, Joeselle M.
Mayne, Janice
Figeys, Daniel
author_facet Cheng, Kai
Ning, Zhibin
Li, Leyuan
Zhang, Xu
Serrana, Joeselle M.
Mayne, Janice
Figeys, Daniel
author_sort Cheng, Kai
collection PubMed
description [Image: see text] The studies of microbial communities have drawn increased attention in various research fields such as agriculture, environment, and human health. Recently, metaproteomics has become a powerful tool to interpret the roles of the community members by investigating the expressed proteins of the microbes. However, analyzing the metaproteomic data sets at genome resolution is still challenging because of the lack of efficient bioinformatics tools. Here we develop MetaLab-MAG, a specially designed tool for the characterization of microbiomes from metagenome-assembled genomes databases. MetaLab-MAG was evaluated by analyzing various human gut microbiota data sets and performed comparably or better than searching the gene catalog protein database directly. MetaLab-MAG can quantify the genome-level microbiota compositions and supports both label-free and isobaric labeling-based quantification strategies. MetaLab-MAG removes the obstacles of metaproteomic data analysis and provides the researchers with in-depth and comprehensive information from the microbiomes.
format Online
Article
Text
id pubmed-9903328
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-99033282023-02-08 MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database Cheng, Kai Ning, Zhibin Li, Leyuan Zhang, Xu Serrana, Joeselle M. Mayne, Janice Figeys, Daniel J Proteome Res [Image: see text] The studies of microbial communities have drawn increased attention in various research fields such as agriculture, environment, and human health. Recently, metaproteomics has become a powerful tool to interpret the roles of the community members by investigating the expressed proteins of the microbes. However, analyzing the metaproteomic data sets at genome resolution is still challenging because of the lack of efficient bioinformatics tools. Here we develop MetaLab-MAG, a specially designed tool for the characterization of microbiomes from metagenome-assembled genomes databases. MetaLab-MAG was evaluated by analyzing various human gut microbiota data sets and performed comparably or better than searching the gene catalog protein database directly. MetaLab-MAG can quantify the genome-level microbiota compositions and supports both label-free and isobaric labeling-based quantification strategies. MetaLab-MAG removes the obstacles of metaproteomic data analysis and provides the researchers with in-depth and comprehensive information from the microbiomes. American Chemical Society 2022-12-12 /pmc/articles/PMC9903328/ /pubmed/36508259 http://dx.doi.org/10.1021/acs.jproteome.2c00554 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Cheng, Kai
Ning, Zhibin
Li, Leyuan
Zhang, Xu
Serrana, Joeselle M.
Mayne, Janice
Figeys, Daniel
MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database
title MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database
title_full MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database
title_fullStr MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database
title_full_unstemmed MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database
title_short MetaLab-MAG: A Metaproteomic Data Analysis Platform for Genome-Level Characterization of Microbiomes from the Metagenome-Assembled Genomes Database
title_sort metalab-mag: a metaproteomic data analysis platform for genome-level characterization of microbiomes from the metagenome-assembled genomes database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903328/
https://www.ncbi.nlm.nih.gov/pubmed/36508259
http://dx.doi.org/10.1021/acs.jproteome.2c00554
work_keys_str_mv AT chengkai metalabmagametaproteomicdataanalysisplatformforgenomelevelcharacterizationofmicrobiomesfromthemetagenomeassembledgenomesdatabase
AT ningzhibin metalabmagametaproteomicdataanalysisplatformforgenomelevelcharacterizationofmicrobiomesfromthemetagenomeassembledgenomesdatabase
AT lileyuan metalabmagametaproteomicdataanalysisplatformforgenomelevelcharacterizationofmicrobiomesfromthemetagenomeassembledgenomesdatabase
AT zhangxu metalabmagametaproteomicdataanalysisplatformforgenomelevelcharacterizationofmicrobiomesfromthemetagenomeassembledgenomesdatabase
AT serranajoesellem metalabmagametaproteomicdataanalysisplatformforgenomelevelcharacterizationofmicrobiomesfromthemetagenomeassembledgenomesdatabase
AT maynejanice metalabmagametaproteomicdataanalysisplatformforgenomelevelcharacterizationofmicrobiomesfromthemetagenomeassembledgenomesdatabase
AT figeysdaniel metalabmagametaproteomicdataanalysisplatformforgenomelevelcharacterizationofmicrobiomesfromthemetagenomeassembledgenomesdatabase