The Pathogen-Host Interface in Three Dimensions: Correlative FIB/SEM Applications

Allon Weiner1, Jost Enninga2

  • 1Sorbonne Université, Inserm, Centre d'Immunologie et des Maladies Infectieuses, Cimi-Paris, Paris, France.

Trends in Microbiology
|January 3, 2019
PubMed

Insights

Correlative focused ion beam/scanning electron microscopy (c-FIB/SEM) tomography combines fluorescence and electron microscopy to reveal pathogen-host interactions at high resolution. This advanced imaging technique offers unprecedented detail for studying intracellular pathogens like Shigella, Salmonella, and Brucella.

Area of Science:

  • Microbiology
  • Cell Biology
  • Microscopy

Background:

  • Intracellular pathogens employ complex interactions to survive and replicate within host cells.
  • Multidimensional fluorescence microscopy is a key tool for studying these molecular and cellular events.
  • Advancements in 3D electron microscopy offer high-resolution visualization of pathogens within their cellular context.

Purpose of the Study:

  • To introduce correlative focused ion beam/scanning electron microscopy (c-FIB/SEM) tomography.
  • To illustrate the utility of c-FIB/SEM for intracellular pathogen research.
  • To discuss the limitations and future prospects of this correlative imaging approach.

Main Methods:

  • Correlative focused ion beam/scanning electron microscopy (c-FIB/SEM) tomography.
  • Integration of multidimensional fluorescence microscopy with volume electron microscopy.
  • Case studies on cellular invasion by Shigella, Salmonella, and Brucella.

Main Results:

  • c-FIB/SEM tomography enables detailed visualization of pathogen-host interactions.
  • Combining fluorescence and electron microscopy provides both molecular and ultrastructural information.
  • The technique has been successfully applied to study the invasion mechanisms of key intracellular pathogens.

Conclusions:

  • Correlative microscopy, particularly c-FIB/SEM, is a powerful approach for studying intracellular pathogens.
  • This technique bridges the gap between molecular/functional data and ultrastructural context.
  • Further development holds promise for advancing our understanding of host-pathogen dynamics.

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