Literature DB >> 24049174

Determining the cellular diversity of hepatitis C virus quasispecies by single-cell viral sequencing.

E Carol McWilliam Leitch1, John McLauchlan.   

Abstract

Single-cell genomics is emerging as an important tool in cellular biology. We describe for the first time a system to investigate RNA virus quasispecies diversity at the cellular level utilizing hepatitis C virus (HCV) replicons. A high-fidelity nested reverse transcription (RT)-PCR assay was developed, and validation using control transcripts of known copy number indicated a detection limit of 3 copies of viral RNA/reaction. This system was used to determine the cellular diversity of subgenomic JFH-1 HCV replicons constitutively expressed in Huh7 cells. Each cell contained a unique quasispecies that was much less diverse than the quasispecies of the bulk cell population from which the single cells were derived, suggesting the occurrence of independent evolution at the cellular level. An assessment of the replicative fitness of the predominant single-cell quasispecies variants indicated a modest reduction in fitness compared to the wild type. Real-time RT-PCR methods capable of determining single-cell viral loads were developed and indicated an average of 113 copies of replicon RNA per cell, correlating with calculated RNA copy numbers in the bulk cell population. This study introduces a single-cell RNA viral-sequencing method with numerous potential applications to explore host-virus interactions during infection. HCV quasispecies diversity varied greatly between cells in vitro, suggesting different within-cell evolutionary pathways. Such divergent trajectories in vivo could have implications for the evolution and establishment of antiviral-resistant variants and host immune escape mutants.

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Year:  2013        PMID: 24049174      PMCID: PMC3838117          DOI: 10.1128/JVI.01602-13

Source DB:  PubMed          Journal:  J Virol        ISSN: 0022-538X            Impact factor:   5.103


  48 in total

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2.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

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6.  Development and characterization of a transient-replication assay for the genotype 2a hepatitis C virus subgenomic replicon.

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8.  Dynamics of the multiplicity of cellular infection in a plant virus.

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9.  A novel single-cell quantitative real-time RT-PCR method for quantifying foot-and-mouth disease viral RNA.

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10.  Quantification of unintegrated HIV-1 DNA at the single cell level in vivo.

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  7 in total

Review 1.  Viral quasispecies.

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Journal:  Virology       Date:  2015-03-29       Impact factor: 3.616

2.  Quantitative profiling of innate immune activation by viral infection in single cells.

Authors:  Andrea C Timm; Jay W Warrick; John Yin
Journal:  Integr Biol (Camb)       Date:  2017-09-18       Impact factor: 2.192

3.  Intra-host dynamics of Ebola virus during 2014.

Authors:  Ming Ni; Chen Chen; Jun Qian; Hai-Xia Xiao; Wei-Feng Shi; Yang Luo; Hai-Yin Wang; Zhen Li; Jun Wu; Pei-Song Xu; Su-Hong Chen; Gary Wong; Yuhai Bi; Zhi-Ping Xia; Wei Li; Hui-Jun Lu; Juncai Ma; Yi-Gang Tong; Hui Zeng; Sheng-Qi Wang; George F Gao; Xiao-Chen Bo; Di Liu
Journal:  Nat Microbiol       Date:  2016-09-05       Impact factor: 17.745

Review 4.  Single-Cell Genomics for Virology.

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Journal:  Viruses       Date:  2016-05-04       Impact factor: 5.048

Review 5.  A deadly dance: the choreography of host-pathogen interactions, as revealed by single-cell technologies.

Authors:  Pratip K Chattopadhyay; Mario Roederer; Diane L Bolton
Journal:  Nat Commun       Date:  2018-11-06       Impact factor: 14.919

6.  Measurements of intrahost viral diversity require an unbiased diversity metric.

Authors:  Lei Zhao; Christopher J R Illingworth
Journal:  Virus Evol       Date:  2019-01-30

Review 7.  Single-Cell Analysis of Foot-and-Mouth Disease Virus.

Authors:  Hailong Wang; Xiu Xin; Congyi Zheng; Chao Shen
Journal:  Front Microbiol       Date:  2020-03-05       Impact factor: 5.640

  7 in total

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