A complete and flexible workflow for metaproteomics data analysis based on MetaProteomeAnalyzer and Prophane
Henning Schiebenhoefer1,2, Kay Schallert3, Bernhard Y Renard1,2
1Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany.
Nature Protocols
|August 30, 2020
Summary
Metaproteomics, the study of microbial community proteins, faces computational challenges. This protocol introduces MetaProteomeAnalyzer and Prophane, open-source tools streamlining complex metaproteomic data analysis for researchers.
Area of Science:
- Microbiology
- Computational Biology
- Proteomics
Background:
- Metaproteomics analyzes collective protein composition in multi-organism systems, offering insights into microbial biodiversity and host-microbe interactions.
- Metaproteomic data analysis presents unique computational challenges due to sample complexity and large databases, often requiring manual, synchronized steps.
- Existing tools may not fully address the specific needs of metaproteomic data analysis.
Purpose of the Study:
- To present a comprehensive, detailed, and flexible protocol for metaproteomic data analysis.
- To introduce and integrate two open-source software solutions, MetaProteomeAnalyzer and Prophane, optimized for metaproteomics.
- To provide a user-friendly workflow for both beginners and advanced users in metaproteomics.
Main Methods:
- Development and integration of MetaProteomeAnalyzer and Prophane, open-source software for metaproteomics.
- Utilizing a comprehensive set of databases (NCBI, UniProt, EggNOG, PFAM, CAZy) for enhanced metaproteome annotation.
- Combining multiple search engines to improve peptide-spectrum matching accuracy.
Main Results:
- The protocol guides users through the entire metaproteomic data analysis pipeline, from database creation to results visualization.
- The combined workflow offers improved peptide-spectrum matching and comprehensive annotation compared to similar tools.
- The analysis workflow is designed to be robust and efficient, providing results in a reasonable time.
Conclusions:
- MetaProteomeAnalyzer and Prophane provide a powerful, flexible, and user-friendly solution for metaproteomic data analysis.
- This protocol represents a significant advancement in guiding researchers through complex metaproteomic datasets.
- The developed tools and workflow cater to both novice and expert users, enhancing the accessibility and efficiency of metaproteomics research.
