The Use of CRISPR/Cas9 Gene Editing to Confirm Congenic Contaminations in Host-Pathogen Interaction Studies

Jonathan Ferrand1,2, Nathan P Croft3, Geneviève Pépin1,2

  • 1Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia.

Insights

CRISPR/Cas9 gene editing in macrophage knockout cell lines helps identify genetic background effects in Salmonella Typhimurium infection studies. This approach clarifies results from congenic mouse models, improving host-pathogen interaction research.

Area of Science:

  • Microbiology
  • Immunology
  • Genetics

Background:

  • Murine models are crucial for studying bacterial infections like Salmonella Typhimurium.
  • Macrophage function in controlling intracellular bacterial replication varies significantly between mouse strains (e.g., C57BL/6, BALB/c).
  • Congenic mouse strains, combining genetic backgrounds, can alter infection study outcomes.

Purpose of the Study:

  • To investigate how genetic background influences Salmonella Typhimurium infection phenotypes in macrophages.
  • To evaluate the utility of CRISPR/Cas9-generated macrophage knockout cell lines in dissecting these genetic contributions.
  • To determine the impact of background contaminations on primary macrophage phenotypes in congenic mouse models.

Main Methods:

  • Utilizing CRISPR/Cas9 gene editing to create macrophage knockout cell lines.
  • Comparing phenotypes of primary macrophages from congenic mice with knockout cell lines.
  • Conducting Salmonella Typhimurium infection studies with these genetic models.

Main Results:

  • CRISPR/Cas9 technology can identify background contaminations affecting congenic mouse macrophage phenotypes.
  • Macrophage knockout cell lines serve as valuable tools to complement existing models.
  • Concurrent studies using both genetic models are beneficial for excluding side-effects.

Conclusions:

  • CRISPR/Cas9 gene editing is effective in clarifying genetic influences on host-pathogen interactions.
  • The use of complementary genetic models enhances the reliability of Salmonella infection studies.
  • This methodology improves the interpretation of results from congenic mouse models.

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