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Exploring viral infection using single-cell sequencing.
Rato, Sylvie; Golumbeanu, Monica; Telenti, Amalio; Ciuffi, Angela.
Affiliation
  • Rato S; Institute of Microbiology, University Hospital Center and University of Lausanne, Bugnon 48, CH-1011 Lausanne, Switzerland. Electronic address: Sylvie.Ferreira-Rato@chuv.ch.
  • Golumbeanu M; Department of Biosystems Science and Engineering, ETH Zürich and SIB Swiss Institute of Bioinformatics, CH-4058 Basel, Switzerland. Electronic address: monica.golumbeanu@bsse.ethz.ch.
  • Telenti A; The J. Craig Venter Institute, 4120 Capricorn Lane, La Jolla, CA 92037, USA. Electronic address: atelenti@jcvi.org.
  • Ciuffi A; Institute of Microbiology, University Hospital Center and University of Lausanne, Bugnon 48, CH-1011 Lausanne, Switzerland. Electronic address: Angela.Ciuffi@chuv.ch.
Virus Res ; 239: 55-68, 2017 07 15.
Article in En | MEDLINE | ID: mdl-27816430
ABSTRACT
Single-cell sequencing (SCS) has emerged as a valuable tool to study cellular heterogeneity in diverse fields, including virology. By studying the viral and cellular genome and/or transcriptome, the dynamics of viral infection can be investigated at single cell level. Most studies have explored the impact of cell-to-cell variation on the viral life cycle from the point of view of the virus, by analyzing viral sequences, and from the point of view of the cell, mainly by analyzing the cellular host transcriptome. In this review, we will focus on recent studies that use single-cell sequencing to explore viral diversity and cell variability in response to viral replication.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Virus Diseases / Virus Physiological Phenomena / Host-Pathogen Interactions / Single-Cell Analysis / High-Throughput Nucleotide Sequencing Limits: Animals / Humans Language: En Journal: Virus Res Journal subject: VIROLOGIA Year: 2017 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Virus Diseases / Virus Physiological Phenomena / Host-Pathogen Interactions / Single-Cell Analysis / High-Throughput Nucleotide Sequencing Limits: Animals / Humans Language: En Journal: Virus Res Journal subject: VIROLOGIA Year: 2017 Document type: Article