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The use of single-cell RNA-Seq to understand virus–host interactions
Ist Teil von
Current opinion in virology, 2018-04, Vol.29, p.39-50
Ort / Verlag
Netherlands: Elsevier B.V
Erscheinungsjahr
2018
Quelle
Access via ScienceDirect (Elsevier)
Beschreibungen/Notizen
[Display omitted]
•Single cell analyses reveal cell heterogeneity, often masked at population level.•ScRNA-Seq identifies transcriptomic signatures hallmarking distinct cell subsets.•ScRNA-Seq coupled with phenotypic analyses uncovers specific cell subsets.•Subsets with unique molecular signatures are relevant for virus-host interactions.•ScRNA-Seq coupled with phenotypic analyses is a valuable tool in virology.
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.