Journal: Virus Research

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Abbreviation

Virus Res

Publisher

Elsevier

Journal Volumes

ISSN

0168-1702
1872-7492

Description

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Publications 1 - 10 of 10
  • Pepin, Andrea C.; Tandon, Ravi; Cattori, Valentino; et al. (2007)
    Virus Research
  • Kalbermatter, David; Shrestha, Neeta; Ader-Ebert, Nadine; et al. (2019)
    Virus Research
  • Rato, Sylvie; Golumbeanu, Monica; Telenti, Amalio; et al. (2017)
    Virus Research
  • Pereira, Sara; Pereira, Carlos; Santos, Luísa; et al. (2016)
    Virus Research
  • Magnus, Carsten; Reh, Lucia; Trkola, Alexandra (2016)
    Virus Research
    Broadly neutralizing antibodies against human immunodeficiency virus type 1 (HIV-1) are considered vital components of novel therapeutics and blueprints for vaccine research. Yet escape to even the most potent of these antibodies is imminent in natural infection. Measures to define antibody efficacy and prevent mutant selection are thus urgently needed. Here, we derive a mathematical framework to predict the concentration ranges for which antibody escape variants can outcompete their viral ancestors, referred to as mutant selection window (MSW). When determining the MSW, we focus on the differential efficacy of neutralizing antibodies against HIV-1 in two canonical infection routes, free-virus infection and cell–cell transmission. The latter has proven highly effective in vitro suggesting its importance for both in vivo spread as well as for escaping targeted intervention strategies. We observed a range of MSW patterns that highlight the potential of mutants to arise in both transmission pathways and over wide concentration ranges. Most importantly, we found that only when the arising mutant has both, residual sensitivity to the neutralizing antibody and reduced infectivity compared to the parental virus, antibody dosing outside of the MSW to restrict mutant selection is possible. Emergence of mutants that provide complete escape and have no considerable fitness loss cannot be prevented by adjusting antibody doses. The latter may in part explain the ubiquitous resistance to neutralizing antibodies observed in natural infection and antibody treatment. Based on our findings, combinations of antibodies targeting different epitopes should be favored for antibody-based interventions as this may render complete resistance less likely to occur and also increase chances that multiple escapes result in severe fitness loss of the virus making longer-term antibody treatment more feasible.
  • Gobbin, Davide; Hoegger, Patrik J.; Heiniger, Ursula; et al. (2003)
    Virus Research
  • Romo, María; Leuchtmann, Adrian; García, Balbino; et al. (2007)
    Virus Research
  • Patil, Basavaprabhu L.; Dutt, Nitin; Briddon, Rob W.; et al. (2007)
    Virus Research
    Cloned DNA-B components, belonging to the bipartite begomoviruses Indian cassava mosaic virus (ICMV) and Sri Lankan cassava mosaic virus (SLCMV), family Geminiviridae, when co-inoculated along with previously cloned DNA-A components of the respective viruses onto the experimental host Nicotiana benthamiana, generated defective DNAs (def-DNA) ranging in size from 549 to 1555 nucleotides. All the cloned def-DNAs contained the common region (CR) as well as portions of either DNA-A or DNA-B and, in a few cases, both DNA-A and DNA-B, representing recombinant products, the junction points of which correspond to repeats of 2–11 bases found in the parental molecules. The DNA-B-derived def-DNAs were, in some cases, associated with a decrease in levels of DNA-B, with a concomitant change in the symptoms from downward leaf curling in the older leaves to upward leaf-rolling in newly emerging leaves, more typical of monopartite begomoviruses.
  • Posada-Cespedes, Susana; Seifert, David; Beerenwinkel, Niko (2017)
    Virus Research
    Rapidly evolving RNA viruses prevail within a host as a collection of closely related variants, referred to as viral quasispecies. Advances in high-throughput sequencing (HTS) technologies have facilitated the assessment of the genetic diversity of such virus populations at an unprecedented level of detail. However, analysis of HTS data from virus populations is challenging due to short, error-prone reads. In order to account for uncertainties originating from these limitations, several computational and statistical methods have been developed for studying the genetic heterogeneity of virus population. Here, we review methods for the analysis of HTS reads, including approaches to local diversity estimation and global haplotype reconstruction. Challenges posed by aligning reads, as well as the impact of reference biases on diversity estimates are also discussed. In addition, we address some of the experimental approaches designed to improve the biological signal-to-noise ratio. In the future, computational methods for the analysis of heterogeneous virus populations are likely to continue being complemented by technological developments.
  • Zhang, Peng; Gruissem, Wilhelm (2003)
    Virus Research
Publications 1 - 10 of 10