Ml. Nickerson et al., Random mutagenesis-PCR to introduce alterations into defined DNA sequencesfor validation of SNP and mutation detection methods, HUM MUTAT, 17(3), 2001, pp. 210-219
Sensitive and high throughput techniques are required for the detection of
DNA sequence variants such as single nucleotide polymorphisms (SNPs) and mu
tations. One problem, common to all methods of SNP and mutation detection,
is that experimental conditions required for detection of DNA sequence vari
ants depend on the specific DNA sequence to be analyzed. Although algorithm
s and other calculations have been developed to predict the experimental co
nditions required to detect DNA sequence variation in a specific DNA sequen
ce, these algorithms do not always provide reliable information and experim
ental conditions for SNP and mutation detection must be devised empirically
. Determination of experimental conditions for detection of DNA sequence va
riation is difficult when samples containing only wild type sequence are av
ailable. When patient derived positive controls are used, increasingly ther
e are valid concerns about commercial ownership and patient privacy. This r
eport presents a rapid and efficient method, employing random mutagenesis-P
CR (RM-PCR) using low fidelity DNA polymerase, to randomly introduce single
and multiple base substitutions and deletions into DNA sequences of intere
st. Clones with sequence changes were used to validate denaturing HPLC (DHP
LC) algorithm predictions, optimize conditions for mutation detection in ex
on 15 of the tyrosine kinase domain of the MET proto-oncogene, and to confi
rm the association between specific DNA sequence changes and unique DHPLC c
hromatographic profiles (signatures). Finally, DNA from 33 papillary renal
carcinoma (PRC) patients was screened for mutations in exon 15 of MET using
"validated" DHPLC conditions as a proof of principle application of RM-PCR
. Use of RM PCR for DHPLC and other SNP/mutation detection methods is discu
ssed along with challenges associated with detecting sequence alterations i
n mixed tumor/normal tissue, pooled samples, and from regions of the genome
that have been amplified during tumorigenesis or duplicated during evoluti
on. Hum Mutat 17:210-219, 2001. Published 2001 Wiley-Liss, Inc.(dagger).