Scientific Publications by FDA Staff
J Microbiol Methods 2005 Dec;63(3):318-30
Microarray and allele specific PCR detection of point mutations in Mycobacterium tuberculosis genes associated with drug resistance.
Tang X, Morris SL, Langone JJ, Bockstahler LE
Tang X, US FDA, Ctr Devices & Radiol Hlth, Rockville, MD 20850 USA US FDA, Ctr Devices & Radiol Hlth, Rockville, MD 20850 USA US FDA, Ctr Biol Evaluat & Res, Bethesda, MD 20892 USA
Global public health is threatened by the emergence of potentially dangerous antibiotic drug-resistant strains of Mycobacterium tuberculosis. Point mutations in certain M. tuberculosis genes are associated with the resistance of M. tuberculosis strains to antibiotic drugs. The purpose of this study was to develop a suitable microarray-based protocol for the detection of point mutations in M. tuberculosis genes associated with drug resistance. We initially developed a conventional, oligonucleotide microarray protocol and used it to detect and identify on a single microarray slide a number of point mutation-containing rpoB and katG gene target sequences. However, the occurrence of some non-specific hybridization led us to the development of an improved protocol based on allele specific PCR combined with tags/anti-tags and microarrays. This protocol was evaluated by detecting point mutations in M. tuberculosis katG and rpoB gene templates produced by recombinant PCR. The methodology allowed sequences containing single point mutations to be readily distinguished from wild type sequences. The data obtained with the improved protocol had strong and specific signals and relatively low amounts of non-specific hybridization. We successfully used this protocol to detect and identify (<8 h) a number of clinically relevant point mutations in the rpoB, katG and rpsL genes of M. tuberculosis clinical isolates. Our allele specific PCR/tags and anti-tags/microarray protocol has several advantages over our conventional oligonucleotide microarray protocol, and it may have broad applications for point mutation detection.
|Category: Journal Article, Peer|
|PubMed ID: #15923050|
|Includes FDA Authors from Scientific Area(s): Medical Devices, Biologics|
|Entry Created: 2011-10-04||Entry Last Modified: 2012-08-29|