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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
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Electrical cell-substrate impedance sensing (ECIS) as a tool to study microbial-cell interactions.

S Keerthi1, A Maya Nandkumar1

  • 1Division of Microbial Technology, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Science and Technology, Poojappura, Thiruvananthapuram, Kerala-12 India.

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|January 28, 2025
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Summary

Electrical Cell-Substrate Impedance Sensing (ECIS) revealed how Pseudomonas infection impacts airway epithelial cells. Enhanced barrier integrity, shown by ECIS, can reduce susceptibility to bacterial infections.

Keywords:
Electrical cell-substrate impedance sensingImpedance measurementIn vitro modelMicrobial–cell interactionPseudomonas infection

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Area of Science:

  • Cell Biology
  • Microbiology
  • Biophysics

Background:

  • Electrical Cell-Substrate Impedance Sensing (ECIS) is an impedance-based technique for analyzing cellular responses to stimuli.
  • ECIS, by manipulating alternating current frequencies, can assess adherent monolayer properties like morphology, spreading, proliferation, junctional proteins, and barrier integrity.

Purpose of the Study:

  • To investigate the progression of *Pseudomonas* infection in airway epithelial cells using ECIS.
  • To evaluate the feasibility of ECIS for studying drug interactions on monolayer barrier functions.

Main Methods:

  • Utilized ECIS to monitor impedance changes in airway epithelial cells during *Pseudomonas* infection.
  • Analyzed impedance data at different frequencies (below 2000 Hz and above 16,000 Hz) to differentiate early and late infection stages.
  • Assessed the effect of azithromycin pretreatment on A549 cell monolayers against *Pseudomonas* infection.

Main Results:

  • A significant impedance reduction post-*Pseudomonas* infection indicated loss of cell morphology and viability.
  • Low-frequency impedance decrease (<2000 Hz) suggested early loss of junctional integrity, while high-frequency changes (>16,000 Hz) appeared later.
  • Azithromycin pretreatment inhibited *Pseudomonas* infection progression and delayed epithelial infection by clinical isolates.

Conclusions:

  • ECIS effectively elucidates the mechanism of bacterial infection progression in epithelial cells.
  • Reduced barrier integrity in early infection stages facilitates bacterial entry.
  • Improved barrier integrity correlates with reduced susceptibility to bacterial infections, and ECIS is a valuable tool for studying host-microbe interactions and drug effects.