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...
Autores principales: | , , , , , , |
---|---|
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 |