Literature DB >> 9128866

Identification of genetic variants of hepatitis A virus.

B B Goswami1, W Burkhardt, T A Cebula.   

Abstract

Although detection of hepatitis A virus (HAV) has been greatly aided by the development of polymerase chain reaction (PCR) technology, identification of genetic variants requires sequencing PCR products, which necessarily limits the length of the HAV genome (typically 2%) that can be analyzed. From a regulatory standpoint, identification of the specific strain detected by PCR is a prerequisite not only to overrule contamination of test samples in the diagnostic laboratory, but also to possibly locate the origin of the virus detected by PCR. We explored alternatives to sequencing PCR products to achieve these goals. The findings indicate that restriction fragment length polymorphism (RFLP) analysis of PCR products from two noncontiguous regions of the HAV genome encompassing 765 nucleotides (approximately 10% of the genome) by the restriction endonucleases HinfI and AluI, which cut frequently within the HAV genome, can distinguish the common tissue culture adapted strains of HAV from stool isolates. The resolution can be greatly enhanced by combining single strand conformation polymorphism (SSCP) analysis with restriction enzyme digestion, when most of the seventeen strains analyzed could be identified.

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Year:  1997        PMID: 9128866     DOI: 10.1016/s0166-0934(97)02179-4

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  3 in total

Review 1.  Diagnosis of hepatitis a virus infection: a molecular approach.

Authors:  Omana V Nainan; Guoliang Xia; Gilberto Vaughan; Harold S Margolis
Journal:  Clin Microbiol Rev       Date:  2006-01       Impact factor: 26.132

2.  Rapid Salivary IgG Antibody Screening for Hepatitis A.

Authors:  Swinburne A J Augustine; Tarsha N Eason; Kaneatra J Simmons; Shannon M Griffin; Clarissa L Curioso; Malini K D Ramudit; Elizabeth A Sams; Kevin H Oshima; Alfred Dufour; Timothy J Wade
Journal:  J Clin Microbiol       Date:  2020-09-22       Impact factor: 5.948

3.  A microarray based approach for the identification of common foodborne viruses.

Authors:  Mobolanle Ayodeji; Michael Kulka; Scott A Jackson; Isha Patel; Mark Mammel; Thomas A Cebula; Biswendu B Goswami
Journal:  Open Virol J       Date:  2009-03-19
  3 in total

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