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Related Experiment Videos

Development of a Haemophilus two-dimensional protein database

P Cash1, E Argo, P R Langford

  • 1Department of Medical Microbiology, University of Aberdeen, Foresterhill, UK. p.cash@abdn.ac.uk

Electrophoresis
|August 1, 1997
PubMed
Summary

This study used 2-D PAGE to compare proteins across Haemophilus species, aiding in gene identification. Researchers also analyzed superoxide dismutase (SOD) gene expression in Haemophilus influenzae.

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Area of Science:

  • Microbiology
  • Proteomics
  • Genomics

Background:

  • Haemophilus species cause significant human infections like meningitis and respiratory illnesses.
  • The availability of Haemophilus influenzae genome sequences facilitates bacterial gene expression studies.
  • Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) is a powerful technique for protein characterization.

Purpose of the Study:

  • To compare protein profiles of different Haemophilus species using 2-D PAGE.
  • To identify homologous proteins and their encoding genes across the Haemophilus genus.
  • To investigate gene expression, specifically superoxide dismutase (SOD), in Haemophilus influenzae.

Main Methods:

  • Comparative analysis of bacterial protein extracts using 2-D PAGE.

Related Experiment Videos

  • Coelectrophoresis of proteins against a reference strain (HI-64443) of Haemophilus influenzae.
  • Characterization of a sodA gene knockout mutant in H. influenzae to study SOD expression.

    • Main Results:

    • Between 21% and 37% of proteins showed homology across different Haemophilus species.
    • Higher protein homology (62-64%) was observed between strains of H. influenzae.
    • The sodA gene product was identified, and quantitative changes in other proteins were noted in the SOD mutant.

    Conclusions:

    • 2-D PAGE is effective for comparative proteomic analysis within the Haemophilus genus.
    • This approach aids in understanding genome homologies and gene expression patterns.
    • The study contributes to building a comprehensive 2-D protein database for H. influenzae and related bacteria.