The use of single-cell RNA-Seq to understand virus-host interactions

Curr Opin Virol. 2018 Apr:29:39-50. doi: 10.1016/j.coviro.2018.03.001. Epub 2018 Mar 17.

Abstract

Single-cell analyses allow uncovering cellular heterogeneity, not only per se, but also in response to viral infection. Similarly, single cell transcriptome analyses (scRNA-Seq) can highlight specific signatures, identifying cell subsets with particular phenotypes, which are relevant in the understanding of virus-host interactions.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Gene Expression Profiling / methods
  • High-Throughput Nucleotide Sequencing
  • Host-Pathogen Interactions*
  • Phenotype
  • RNA, Viral / genetics*
  • Sequence Analysis, RNA*
  • Single-Cell Analysis*
  • Transcriptome
  • Workflow

Substances

  • RNA, Viral