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Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
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InfectionCMA: A Cell MicroArray Approach for Efficient Biomarker Screening in In Vitro Infection Assays.

Ana C Magalhães1,2,3, Sara Ricardo1,2,4, Ana C Moreira1,3,5

  • 1i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.

Pathogens (Basel, Switzerland)
|March 26, 2022
PubMed
Summary

This study introduces a novel histology-based method using cell microarrays (CMA) to efficiently evaluate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection kinetics in vitro, aiding rapid pandemic research.

Keywords:
SARS-CoV-2cell cycle and apoptosiscell microarrayshuman receptors for virusesimmunocytochemistryin vitro infectious assays

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Area of Science:

  • Virology
  • Cell Biology
  • Histology

Background:

  • The COVID-19 pandemic necessitated rapid knowledge acquisition on SARS-CoV-2 infection dynamics.
  • Global restrictions highlighted the need for efficient in vitro models to study infectious kinetics.

Purpose of the Study:

  • To develop and validate a histology-based cell microarray (CMA) method for evaluating SARS-CoV-2 infection kinetics.
  • To provide a versatile platform for comparative analysis of cell lines and infection parameters.

Main Methods:

  • Construction of a cell microarray (CMA) for high-throughput analysis.
  • Application of immunocytochemistry and in situ hybridization techniques on the CMA.
  • Histology-based evaluation of viral infection and biomarker expression.

Main Results:

  • The InfectionCMA enables direct side-by-side comparisons of different cell lines and infection time points.
  • Simultaneous evaluation of biomarker expression and protein localization within the same slide.
  • Demonstrated the utility of the chip-like organization for infection kinetics studies.

Conclusions:

  • The proposed histology-based CMA method offers an efficient approach to study SARS-CoV-2 infection kinetics.
  • This methodology facilitates comparative analyses and has potential for drug screening applications.
  • The platform supports real-time evaluation critical for emerging infectious diseases.