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Biochemistry and Biophysics |
Dana Farber Cancer Institute, Adult Oncology and Radiation Oncology [S. C., B. D. P., Y. Z., G. M., G. M. M.] and Molecular Diagnostics Laboratory [E. A. F.], Harvard Medical School, Boston, Massachusetts 02115, and University of California School of Dentistry, Los Angeles, California 90095-1668 [S. T.]
Cancer research would greatly benefit from technologies that allow
simultaneous screening of several unknown gene mutations. Lack of such
methods currently hampers the large-scale detection of genetic
alterations in complex DNA samples. We present a novel mismatch-capture
methodology for the highly efficient isolation and amplification of
mutation-containing DNA from diverse nucleic acid fragments of unknown
sequence. To demonstrate the potential of this method, heteroduplexes
with a single A/G mismatch are formed via cross-hybridization of mutant
(T
G) and wild-type DNA-fragment populations. Aldehydes are uniquely
introduced at the position of mismatched adenines via the
Escherichia coli glycosylase, MutY. Subsequent treatment
with a biotinylated hydroxylamine results in highly specific and
covalent biotinylation of the site of mismatch. For PCR amplification,
synthetic linkers are then ligated to the DNA fragments. Biotinylated
DNA is then isolated and PCR amplified. Mutation-containing DNA
fragments can subsequently be sequenced to identify type and position
of mutation. This method correctly detects a single T
G transversion
introduced into a 7-kb plasmid containing full-length cDNA from the
p53 gene. In the presence of a high excess wild-type DNA
(1:1000 mutant:normal plasmids) or in the presence of diverse DNA
fragment sizes, the DNA fragments containing the mutation are readily
detectable and can be isolated and amplified. The present
Aldehyde-Linker-Based Ultrasensitive Mismatch Scanning has a current
limit of detection of one base substitution in 7 Mb of DNA and
increases the limit for unknown mutation scanning by two to three
orders of magnitude. Homozygous and heterozygous p53 regions (G
T,
exon 4) from genomic DNA are also examined, and correct identification
of mutations is demonstrated. This method should allow large-scale
detection of genetic alterations in cancer samples without any
assumption as to the genes of interest.
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