Integrating high-content imaging and chemical genetics to probe host cellular pathways critical for Yersinia pestis

Krishna P Kota1, Brett Eaton, Douglas Lane

  • 1Perkin Elmer, Waltham, MA, USA.

Plos One
|February 6, 2013
PubMed

Insights

We developed automated imaging assays to study Yersinia pestis entry into macrophages. Kinase inhibitors were identified that block bacterial invasion and NF-κB activation, offering new therapeutic targets.

Area of Science:

  • Microbiology
  • Immunology
  • Cell Biology

Background:

  • The mechanisms governing Yersinia pestis entry and survival within host macrophages are not well understood.
  • Identifying host-pathogen interactions is crucial for developing novel antibacterial therapies.

Purpose of the Study:

  • To develop automated high-content imaging assays for quantifying Yersinia pestis internalization and host NF-κB activation.
  • To identify host-specific molecular targets and potential therapeutic agents against Yersinia pestis infection.

Main Methods:

  • Automated high-content imaging assays were developed to measure Y. pestis CO92 internalization by macrophages.
  • Host NF-κB activation was quantified using these imaging assays.
  • A focused chemical screen was performed to identify kinase inhibitors affecting bacterial entry and NF-κB signaling.

Main Results:

  • Specific kinase inhibitors, including a protein Kinase C (PKC) inhibitor, a PI3K inhibitor (wortmannin), and an IκB kinase inhibitor (parthenolide), were identified.
  • These inhibitors reduced Y. pestis entry and survival within macrophages and inhibited pathogen-induced NF-κB activation.
  • Parthenolide broadly inhibited NF-κB activation, while PI3K and PKC inhibitors showed selectivity for Y. pestis-induced pathways, suggesting phagocytosis as a key NF-κB stimulus.

Conclusions:

  • Phagocytosis is a major driver of NF-κB activation during Y. pestis infection.
  • Y. pestis entry into macrophages involves protein kinases like PI3K and PKC.
  • The developed automated screening platform is applicable to studying other bacteria and identifying novel antibacterial therapeutics.

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