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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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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Related Experiment Video

Updated: May 3, 2026

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
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Computer applications making rapid advances in high throughput microbial proteomics (HTMP).

Balakrishna Anandkumar, Steve W Haga, Hui-Fen Wu1

  • 1Department of Chemistry, National Sun Yat Sen University, Kaohsiung, 804, Taiwan. hwu@faculty.nsysu.edu.tw.

Combinatorial Chemistry & High Throughput Screening
|January 18, 2014
PubMed
Summary

High throughput microbial proteomics (HTMP) is advancing rapidly due to new tools. This review covers software and databases essential for microbial proteome identification, analysis, and applications in various research areas.

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Microbiology

Background:

  • Proteomics tools have become widely available in recent decades.
  • Advancements in data acquisition devices and software have enabled high throughput microbial proteomics (HTMP).

Purpose of the Study:

  • To review essential software and database tools for microbial proteomics.
  • To highlight the applications of these tools in various research fields.

Main Methods:

  • Identification software (e.g., MASCOT, PDQuest).
  • Online proteome databases (e.g., SWISS-PROT, Proteome Web).
  • Data application software (e.g., PSI-BLAST, VESPA).

Main Results:

  • A comprehensive overview of key software and databases for HTMP.
  • Demonstration of how these tools facilitate diverse research applications.

Conclusions:

  • Proteomics software and databases are crucial for advancing microbial research.
  • These tools enable new discoveries in microbial metabolism, interactomics, and drug discovery.