Literature DB >> 25660940

The MetaProteomeAnalyzer: a powerful open-source software suite for metaproteomics data analysis and interpretation.

Thilo Muth1, Alexander Behne, Robert Heyer, Fabian Kohrs, Dirk Benndorf, Marcus Hoffmann, Miro Lehtevä, Udo Reichl, Lennart Martens, Erdmann Rapp.   

Abstract

The enormous challenges of mass spectrometry-based metaproteomics are primarily related to the analysis and interpretation of the acquired data. This includes reliable identification of mass spectra and the meaningful integration of taxonomic and functional meta-information from samples containing hundreds of unknown species. To ease these difficulties, we developed a dedicated software suite, the MetaProteomeAnalyzer, an intuitive open-source tool for metaproteomics data analysis and interpretation, which includes multiple search engines and the feature to decrease data redundancy by grouping protein hits to so-called meta-proteins. We also designed a graph database back-end for the MetaProteomeAnalyzer to allow seamless analysis of results. The functionality of the MetaProteomeAnalyzer is demonstrated using a sample of a microbial community taken from a biogas plant.

Keywords:  bioinformatics; environmental proteomics; mass spectrometry; metaproteomics; microbial communities; software

Mesh:

Substances:

Year:  2015        PMID: 25660940     DOI: 10.1021/pr501246w

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  36 in total

1.  An Alignment-Free "Metapeptide" Strategy for Metaproteomic Characterization of Microbiome Samples Using Shotgun Metagenomic Sequencing.

Authors:  Damon H May; Emma Timmins-Schiffman; Molly P Mikan; H Rodger Harvey; Elhanan Borenstein; Brook L Nunn; William S Noble
Journal:  J Proteome Res       Date:  2016-07-19       Impact factor: 4.466

2.  metaQuantome: An Integrated, Quantitative Metaproteomics Approach Reveals Connections Between Taxonomy and Protein Function in Complex Microbiomes.

Authors:  Caleb W Easterly; Ray Sajulga; Subina Mehta; James Johnson; Praveen Kumar; Shane Hubler; Bart Mesuere; Joel Rudney; Timothy J Griffin; Pratik D Jagtap
Journal:  Mol Cell Proteomics       Date:  2019-06-24       Impact factor: 5.911

3.  A Meta-proteogenomic Approach to Peptide Identification Incorporating Assembly Uncertainty and Genomic Variation.

Authors:  Sujun Li; Haixu Tang; Yuzhen Ye
Journal:  Mol Cell Proteomics       Date:  2019-05-29       Impact factor: 5.911

4.  A complete and flexible workflow for metaproteomics data analysis based on MetaProteomeAnalyzer and Prophane.

Authors:  Henning Schiebenhoefer; Kay Schallert; Bernhard Y Renard; Kathrin Trappe; Emanuel Schmid; Dirk Benndorf; Katharina Riedel; Thilo Muth; Stephan Fuchs
Journal:  Nat Protoc       Date:  2020-08-28       Impact factor: 13.491

5.  Novel Bioinformatics Strategies Driving Dynamic Metaproteomic Studies.

Authors:  Caitlin M A Simopoulos; Daniel Figeys; Mathieu Lavallée-Adam
Journal:  Methods Mol Biol       Date:  2022

6.  Sample Processing for Metaproteomic Analysis of Human Gut Microbiota.

Authors:  Carmen García-Durán; Raquel Martínez-López; Lucía Monteoliva; Concha Gil
Journal:  Methods Mol Biol       Date:  2022

Review 7.  Metaproteomic analysis of human gut microbiome in digestive and metabolic diseases.

Authors:  Sheng Pan; Ru Chen
Journal:  Adv Clin Chem       Date:  2020-02-17       Impact factor: 6.303

Review 8.  Metaproteomics of complex microbial communities in biogas plants.

Authors:  Robert Heyer; Fabian Kohrs; Udo Reichl; Dirk Benndorf
Journal:  Microb Biotechnol       Date:  2015-04-15       Impact factor: 5.813

9.  A decade of metaproteomics: where we stand and what the future holds.

Authors:  Paul Wilmes; Anna Heintz-Buschart; Philip L Bond
Journal:  Proteomics       Date:  2015-09-10       Impact factor: 3.984

10.  Distinct Human Gut Microbial Taxonomic Signatures Uncovered With Different Sample Processing and Microbial Cell Disruption Methods for Metaproteomic Analysis.

Authors:  Carmen García-Durán; Raquel Martínez-López; Inés Zapico; Enrique Pérez; Eduardo Romeu; Javier Arroyo; María Luisa Hernáez; Aida Pitarch; Lucía Monteoliva; Concha Gil
Journal:  Front Microbiol       Date:  2021-07-05       Impact factor: 5.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.