Literature DB >> 11163580

Performance characteristics of quantification assays for human immunodeficiency virus type 1 RNA.

Y Schmitt1.   

Abstract

Quantification of human immunodeficiency virus type 1 (HIV-1) is useful in obtaining information about the prognosis of patients and monitoring of antiviral therapy. Today, commercial assays based on reverse transcription-polymerase chain reaction (RT-PCR), the branched DNA (bDNA) technology and on nucleic acid sequence-based amplification (NASBA) are available. Clinical relevance of those assays is limited because of relatively poor reproducibility, especially for low copy numbers and unequal amplification dynamics for different genotypes. Better standardisation is most important in order to improve the reliability of quantitative molecular assays.

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Year:  2001        PMID: 11163580     DOI: 10.1016/s1386-6532(00)00152-9

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  4 in total

1.  Human immunodeficiency virus (HIV) reverse transcriptase activity correlates with HIV RNA load: implications for resource-limited settings.

Authors:  Sumathi Sivapalasingam; Shaffiq Essajee; Phillipe N Nyambi; Vincenza Itri; Bruce Hanna; Robert Holzman; Fred Valentine
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

2.  Ten years of external quality assessment of human immunodeficiency virus type 1 RNA quantification.

Authors:  Brigitte Senechal; Vivienne L A James
Journal:  J Clin Microbiol       Date:  2012-09-05       Impact factor: 5.948

3.  Generation of HIV-1 and Internal Control Transcripts as Standards for an In-House Quantitative Competitive RT-PCR Assay to Determine HIV-1 Viral Load.

Authors:  Anny Armas Cayarga; Yenitse Perea Hernández; Yaimé J González González; Santiago Dueñas Carrera; Idania González Pérez; René Robaina Álvarez
Journal:  Biotechnol Res Int       Date:  2011-06-23

4.  Nanoparticle-based detection and quantification of DNA with single nucleotide polymorphism (SNP) discrimination selectivity.

Authors:  Wei Jie Qin; Lin Yue Lanry Yung
Journal:  Nucleic Acids Res       Date:  2007-08-24       Impact factor: 16.971

  4 in total

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