Quantitative detection of HIV-1 drug resistance mutations by automated DNA sequencing.
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.
Larder
B A
BA
Antiviral Therapeutic Research Unit, Wellcome Foundation Limited, Beckenham, Kent, UK.
Kohli
A
A
Kellam
P
P
Kemp
S D
SD
Kronick
M
M
Henfrey
R D
RD
D001331:Automation; D001483:Base Sequence; D003062:Codon; D017931:DNA Primers; D004279:DNA, Viral / Q000235:genetics*; D004259:DNA-Directed DNA Polymerase / Q000378:metabolism; D004352:Drug Resistance, Microbial; D015497:HIV-1 / Q000187:drug effects* / Q000235:genetics*; D008969:Molecular Sequence Data; D009154:Mutation; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software
D003062:Codon; D017931:DNA Primers; D004279:DNA, Viral; C034970:bacteriophage T7 induced DNA polymerase; D004259:DNA-Directed DNA Polymerase