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Related Experiment Videos

Manipulating the host to study bacterial virulence.

E T Harvill1, J F Miller

  • 1Department of Microbiology and Immunology, UCLA School of Medicine, Center for the Health Sciences, Los Angeles, 90095-1747, USA. harvill@ucla.edu

Current Opinion in Microbiology
|February 19, 2000
PubMed
Summary
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Manipulating animal hosts and bacterial pathogens enhances in vivo infection models. Genetically engineered animals and reporter systems improve the study of pathogenesis and host-pathogen interactions.

Area of Science:

  • Microbiology and Immunology
  • Infectious Disease Research
  • Animal Models in Research

Background:

  • In vivo models are crucial for studying infection and pathogenesis.
  • Understanding host-pathogen interactions is key to developing treatments.
  • Current models have limitations in fully recapitulating human disease.

Purpose of the Study:

  • To highlight advancements in manipulating animal hosts and bacterial pathogens for infection research.
  • To demonstrate how these advancements improve the utility of in vivo models.
  • To showcase novel approaches for studying pathogenesis and host defenses.

Main Methods:

  • Construction of genetically modified mice (e.g., human tissue xenografts, transgenic reporters).
  • Utilizing selectively immunodeficient mice.

Related Experiment Videos

  • Challenging mice with engineered bacterial pathogens (e.g., virulence gene mutations).

    • Main Results:

    • Genetically engineered mice provide essential ligand-receptor interactions for pathogenesis.
    • Immunodeficient mice and mutated pathogens help resolve host-pathogen defense interactions.
    • Inducible reporter systems identify activated cellular response pathways during infection.

    Conclusions:

    • Advanced animal models significantly enhance the quality of information from in vivo pathogenesis studies.
    • These improved models facilitate a deeper understanding of infection mechanisms.
    • Future research can leverage these sophisticated tools for more accurate disease modeling.