Literature DB >> 10392772

Identification of group I porcine enteroviruses by monoclonal antibodies in cell culture.

M Dauber1.   

Abstract

A panel of monoclonal antibodies (mAb) against porcine enteroviruses (PEV) was established. One of these mAbs reacts group-specifically with PEV of serotype group I in the indirect immunofluorescence assay (IIF). This mAb is very well suited for diagnosis of PEV infections. However, the mAb neither neutralizes virus nor does it react with virus particles in immuno electron microscopy (IEM). Another mAb is PEV-1 specific in IIF, neutralizes virus, and is suited for IEM. Both mAbs presumably recognize conformation-dependent epitopes of the virus.

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Year:  1999        PMID： 10392772     DOI： 10.1016/s0378-1135(99)00024-3

Source DB:  PubMed          Journal:  Vet Microbiol        ISSN： 0378-1135            Impact factor:   3.293


  4 in total

1.  Sequencing of porcine enterovirus groups II and III reveals unique features of both virus groups.

Authors:  Andi Krumbholz; Malte Dauber; Andreas Henke; Eckhard Birch-Hirschfeld; Nick J Knowles; Axel Stelzner; Roland Zell
Journal:  J Virol       Date:  2002-06       Impact factor: 5.103

2.  Porcine teschoviruses comprise at least eleven distinct serotypes: molecular and evolutionary aspects.

Authors:  R Zell; M Dauber; A Krumbholz; A Henke; E Birch-Hirschfeld; A Stelzner; D Prager; R Wurm
Journal:  J Virol       Date:  2001-02       Impact factor: 5.103

3.  High prevalence, genetic diversity and a potentially novel genotype of Sapelovirus A (Picornaviridae) in enteric and respiratory samples in Hungarian swine farms.

Authors:  Ákos Boros; Zoltán László; Péter Pankovics; András Marosi; Mihály Albert; Attila Cságola; Hunor Bíró; Elizabeth Fahsbender; Eric Delwart; Gábor Reuter
Journal:  J Gen Virol       Date:  2020-04-07       Impact factor: 3.891

4.  A Highly Conserved Epitope (RNNQIPQDF) of Porcine teschovirus Induced a Group-Specific Antiserum: A Bioinformatics-Predicted Model with Pan-PTV Potential.

Authors:  Tung-Hsuan Tsai; Chia-Yi Chang; Fun-In Wang
Journal:  Viruses       Date:  2020-10-29       Impact factor: 5.048
  4 in total

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