Evidence map›Paper›PMID 24049174›Full record

ArticleJournal of virology2013

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

E Carol McWilliam Leitch, John McLauchlan

Abstract readEvaluation Study
In one paragraph

Article in Journal of virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Quantitative profiling of innate immune activation by viral infection in single cells.Integrative biology : quantitative biosciences from nano to macro · 2017
    Article
  10. Article
  11. Review
  12. Viral quasispecies.Virology · 2015
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

E Carol McWilliam LeitchMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
John McLauchlan

Funding

Medical Research Council 63785Medical Research Council MC_U130184143Medical Research Council MC_UU_12014/1
6 · The paper itself

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.

Indexed as

Genetic VariationCell Line, TumorHepacivirusHepatitis CHost-Pathogen InteractionsHumansRepliconRNA, ViralSequence Analysis, RNASingle-Cell AnalysisRNA, Viral

Identifiers

PMID24049174
PMCPMC3838117

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.