Proto-oncogene expression: a predictive assay for radiation biodosimetry applications.

Using a model system of in vitro human peripheral blood lymphocytes, the effect of low-dose (0.25 to 1.50 Gy) 250-kVp X ray radiation (1 Gy.min-1) on the expression of several proto-oncogenes was examined (c-Haras, c-src, c-met, c-jun, c-fos, and c-myc) and beta-actin from 0.25 to 17 h post-radiation. RNA was extracted from cells harvested at various times after exposure and examined for levels of particular mRNAs by northern blot hybridisation. A progressive time- and dose-dependent increase in mRNA levels was observed for c-Haras mRNA, while the other proto-oncogenes (c-src, c-met, c-fos, c-jun and c-myc) examined were variable during the same time period. beta-actin levels were initially decreased but at 17 h post-radiation had returned to control levels. A comparison of the rate of c-Haras transcription at 5 and 17 h post-irradiation revealed that c-Haras transcription was higher at 5 h than at 17 h. These findings suggest that the level of specific proto-oncogene expression, particularly c-Haras, may be useful early diagnostic molecular biomarkers for biodosimetry applications. The use of real-time PCR technologies to quantify gene expression changes will also be discussed.

Quantitative plasmid mixture analysis using the fluorogenic 5'-nuclease polymerase chain reaction assay.

The fluorogenic 5'-nuclease polymerase chain reaction (PCR) assay has been shown to be useful for quantifying a given DNA target in a sample. Here we show how an existing PCR protocol can be amended for quantification by incorporating distinctive dual-labeled, sequence-specific oligonucleotide probes and resulting in a two- to threefold broader and more reliable dynamic range than that of conventional end-point analysis of PCR products. Moreover, we show a multiplex situation in which two targets, one normal and one mutated, can be amplified and quantified simultaneously and in the same reaction tube. Use of this novel approach for quantitative PCR applications eliminates the need for post-PCR processing and has clinical- and research-based diagnostic applications, particularly for measuring levels of mutations in a mixture.