Identification of various cell culture models for the study of Zika virus

Kiyoshi Himmelsbach1, Eberhard Hildt1

  • 1Department of Virology, Paul-Ehrlich-Institut, Langen 63225, Germany.

World Journal of Virology
|February 23, 2018
PubMed
Abstract

Insights

This study evaluated various cell cultures for Zika virus (ZIKV) replication, finding most support ZIKV infection and release. Different cell lines showed varying ZIKV susceptibility and infectious particle production, offering a toolbox for ZIKV research.

Area of Science:

  • Virology
  • Cell Biology
  • Infectious Diseases

Background:

  • Zika virus (ZIKV) poses a significant global health threat.
  • Understanding ZIKV replication mechanisms requires suitable cell culture models.

Purpose of the Study:

  • To identify and characterize cell culture models that effectively support Zika virus (ZIKV) replication.
  • To assess ZIKV susceptibility and replication dynamics across diverse human and non-human cell lines.

Main Methods:

  • Infection of various cell lines with ZIKV (Polynesia strain).
  • Quantification of viral genomes and infectious particles via qRT-PCR and titration assays.
  • Analysis of viral replication using immunofluorescence and Western blot.
  • Assessment of innate immune response using luciferase reporter assays.

Main Results:

  • Most cell lines, excluding CHO cells, supported ZIKV infection, replication, and release.
  • A549 and Vero cells exhibited pronounced cytopathic effects; COS7, 293T, and Huh7.5 cells were more resistant.
  • Significant variations in infectious viral particle release were observed, with neuronal cell lines producing substantially less infectious virus.
  • No direct correlation was found between viral particle production and interferon response induction.

Conclusions:

  • The evaluated cell lines, with their varied tissue origins and ZIKV susceptibility, provide a valuable resource for ZIKV research.
  • These models enable detailed studies into ZIKV replication, pathogenesis, and host-pathogen interactions.

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