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Comparison of methods for phylogenetic B-cell lineage inference using time-resolved antibody repertoire simulations (AbSim).
Yermanos, Alexander; Greiff, Victor; Krautler, Nike Julia; Menzel, Ulrike; Dounas, Andreas; Miho, Enkelejda; Oxenius, Annette; Stadler, Tanja; Reddy, Sai T.
Afiliação
  • Yermanos A; Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
  • Greiff V; Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
  • Krautler NJ; Institute of Microbiology.
  • Menzel U; Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
  • Dounas A; Department of Chemistry and Applied Biosciences, ETH Zürich, 8093 Zürich, Switzerland.
  • Miho E; Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
  • Oxenius A; Institute of Microbiology.
  • Stadler T; Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
  • Reddy ST; Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
Bioinformatics ; 33(24): 3938-3946, 2017 Dec 15.
Article em En | MEDLINE | ID: mdl-28968873
ABSTRACT
MOTIVATION The evolution of antibody repertoires represents a hallmark feature of adaptive B-cell immunity. Recent advancements in high-throughput sequencing have dramatically increased the resolution to which we can measure the molecular diversity of antibody repertoires, thereby offering for the first time the possibility to capture the antigen-driven evolution of B cells. However, there does not exist a repertoire simulation framework yet that enables the comparison of commonly utilized phylogenetic methods with regard to their accuracy in inferring antibody evolution.

RESULTS:

Here, we developed AbSim, a time-resolved antibody repertoire simulation framework, which we exploited for testing the accuracy of methods for the phylogenetic reconstruction of B-cell lineages and antibody molecular evolution. AbSim enables the (i) simulation of intermediate stages of antibody sequence evolution and (ii) the modeling of immunologically relevant parameters such as duration of repertoire evolution, and the method and frequency of mutations. First, we validated that our repertoire simulation framework recreates replicates topological similarities observed in experimental sequencing data. Second, we leveraged Absim to show that current methods fail to a certain extent to predict the true phylogenetic tree correctly. Finally, we formulated simulation-validated guidelines for antibody evolution, which in the future will enable the development of accurate phylogenetic methods. AVAILABILITY AND IMPLEMENTATION https//cran.r-project.org/web/packages/AbSim/index.html. CONTACT sai.reddy@ethz.ch. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genes de Imunoglobulinas / Linfócitos B / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genes de Imunoglobulinas / Linfócitos B / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article