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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
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Related Experiment Video

Updated: Oct 1, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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Considerations for constructing a protein sequence database for metaproteomics.

J Alfredo Blakeley-Ruiz1,2, Manuel Kleiner2

  • 1Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Computational and Structural Biotechnology Journal
|March 4, 2022
PubMed
Summary

Constructing accurate protein sequence databases is crucial for mass spectrometry-based metaproteomics. This review details strategies and best practices for building reliable databases to improve microbial community function analysis.

Keywords:
MetagenomicsMetaproteomeMicrobial communityMicrobial ecologyMicrobiomeMicrobiotaMulti-omics

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Area of Science:

  • Microbiology
  • Biochemistry
  • Bioinformatics

Background:

  • Mass spectrometry-based metaproteomics analyzes microbial community functions.
  • Accurate protein identification relies on curated protein sequence databases.
  • Database construction significantly influences taxonomic and functional insights.

Purpose of the Study:

  • To review existing strategies for constructing protein sequence databases for metaproteomics.
  • To evaluate methods for validating database construction approaches.
  • To provide best practices and a decision tree for database selection.

Main Methods:

  • Literature review of metaproteomics database construction strategies.
  • Analysis of studies validating different database building approaches.
  • Synthesis of findings to develop practical recommendations.

Main Results:

  • Database construction significantly impacts metaproteomics study outcomes.
  • Factors like sequence source and curation are critical.
  • Existing strategies vary in effectiveness and require careful consideration.

Conclusions:

  • Choosing the right database construction strategy is essential for accurate metaproteomics.
  • Best practices and a decision tree can guide researchers.
  • Improved database construction enhances understanding of microbial community functions.