Literature DB >> 8413632

Quantitative detection of HIV-1 drug resistance mutations by automated DNA sequencing.

B A Larder1, A Kohli, P Kellam, S D Kemp, M Kronick, R D Henfrey.   

Abstract

A comparison has been made between manual and automated DNA sequencing procedures to evaluate the ability to distinguish mixtures of wild-type and mutant sequences. Quantitative detection of such mixtures of HIV-1 drug resistance mutations was best achieved using an automated system that uses fluorescent-labelled sequencing primers. This procedure has a wide range of applications in clinical research, including heterozygote analysis. Software that automatically reports mixed-base positions is presented.

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Year:  1993        PMID： 8413632     DOI： 10.1038/365671a0

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


  78 in total

1.  Biochemical mechanism of human immunodeficiency virus type 1 reverse transcriptase resistance to stavudine.

Authors:  J Lennerstrand; D K Stammers; B A Larder
Journal:  Antimicrob Agents Chemother       Date:  2001-07       Impact factor: 5.191

2.  Fluorescent dye terminator sequencing methods for quantitative determination of replication fitness of human immunodeficiency virus type 1 containing the codon 74 and 184 mutations in reverse transcriptase.

Authors:  Viktoria Nurpeisov; Selwyn J Hurwitz; Prem L Sharma
Journal:  J Clin Microbiol       Date:  2003-07       Impact factor: 5.948

3.  A Guide to HIV-1 Reverse Transcriptase and Protease Sequencing for Drug Resistance Studies.

Authors:  Robert W Shafer; Kathryn Dupnik; Mark A Winters; Susan H Eshleman
Journal:  HIV Seq Compend       Date:  2001

4.  Effects of random mutations in the human immunodeficiency virus type 1 transcriptional promoter on viral fitness in different host cell environments.

Authors:  Tim van Opijnen; Maarten C Boerlijst; Ben Berkhout
Journal:  J Virol       Date:  2006-07       Impact factor: 5.103

5.  Correlation between viral resistance to zidovudine and resistance at the reverse transcriptase level for a panel of human immunodeficiency virus type 1 mutants.

Authors:  J Lennerstrand; K Hertogs; D K Stammers; B A Larder
Journal:  J Virol       Date:  2001-08       Impact factor: 5.103

6.  HIV-1 drug-resistant minority variants: sweating the small stuff.

Authors:  Jonathan Z Li
Journal:  J Infect Dis       Date:  2013-11-23       Impact factor: 5.226

7.  Comparison of culture- and non-culture-based methods for quantification of viral load and resistance to antiretroviral drugs in patients given zidovudine monotherapy.

Authors:  R S Tedder; S Kaye; C Loveday; I V Weller; D Jeffries; J Norman; J Weber; M Bourelly; R Foxall; A Babiker; J H Darbyshire
Journal:  J Clin Microbiol       Date:  1998-04       Impact factor: 5.948

8.  Next-Generation Sequencing to Help Monitor Patients Infected with HIV: Ready for Clinical Use?

Authors:  Richard M Gibson; Christine L Schmotzer; Miguel E Quiñones-Mateu
Journal:  Curr Infect Dis Rep       Date:  2014-04       Impact factor: 3.725

9.  Theoretical and experimental assessment of degenerate primer tagging in ultra-deep applications of next-generation sequencing.

Authors:  Richard H Liang; Theresa Mo; Winnie Dong; Guinevere Q Lee; Luke C Swenson; Rosemary M McCloskey; Conan K Woods; Chanson J Brumme; Cynthia K Y Ho; Janke Schinkel; Jeffrey B Joy; P Richard Harrigan; Art F Y Poon
Journal:  Nucleic Acids Res       Date:  2014-05-07       Impact factor: 16.971

10.  HIV drug resistance testing by high-multiplex "wide" sequencing on the MiSeq instrument.

Authors:  H R Lapointe; W Dong; G Q Lee; D R Bangsberg; J N Martin; A R Mocello; Y Boum; A Karakas; D Kirkby; A F Y Poon; P R Harrigan; C J Brumme
Journal:  Antimicrob Agents Chemother       Date:  2015-08-17       Impact factor: 5.191
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