Our approach as well as results can help to elucidate the genetic mechanism of idiopathic ASD.

Sensitive multiplex detection methods for foodborne pathogens are important in controlling food safety, and detection of genetic markers is accepted to be one of the best tools for sensitive detection. Although CE technology offers great potential in terms of sensitive multiplex detection, the necessary amplification is confined to markers sharing common primers such as the 16S rRNA gene. For precise and sensitive detection, pathogen-specific genes are optimal markers. Although multiplex ligation-dependent probe amplification (MLPA) is appropriate for amplification of specific markers, the requirement for stuffers, to ensure length-dependent separation on CE, is a major obstacle in detection of foodborne pathogens. In the present study, we developed stuffer-free MLPA using high-resolution CE-SSCP to sensitively detect ten foodborne pathogens. The probe set for MLPA prior to CE-SSCP analysis was designed for species-specific detection. After careful optimization of each MLPA step, to ensure that CE-SSCP analysis was informative, we found that all ten pathogens could be reliably identified; the limits of detection were 0.5-5 pg of genomic DNA, and more than 100-fold increase could be quantitatively determined. Thus, MLPA-CE-SSCP is a sensitive and reliable technique for pathogen detection.

Several methods based on screening for a 16S ribosomal RNA gene marker have been developed for rapid and sensitive detection of pathogenic microorganisms. One such method, CE-based SSCP (CE-SSCP), has enormous potential because the technique can separate sequence variants using a simple procedure. However, conventional CE-SSCP systems have limited resolution and cannot separate most 16S ribosomal RNA gene-specific markers unless combined with additional modification steps. A high-resolution CE-SSCP system that uses a poly(ethyleneoxide)-poly(propyleneoxide)-poly(ethyleneoxide) triblock copolymer matrix was recently developed and shown to effectively separate highly similar PCR products. In this study, we developed a method based on a high-resolution CE-SSCP system using a poly(ethyleneoxide)-poly(propyleneoxide)-poly(ethyleneoxide) triblock copolymer that is capable of simultaneous and quantitative detection of 12 clinically important pathogens. Pathogen markers were amplified by PCR using universal primers and separated by CE-SSCP; each marker peak was well separated at baseline and showed a characteristic mobility, allowing easy identification of pathogens. A series of experiments using different amounts of genomic pathogen DNA showed that the method had a limit of detection of 0.31-1.56 pg and a dynamic range of approximately 10(2). These results indicate that high-resolution CE-SSCP systems have considerable potential in the clinical diagnosis of bacteria-induced diseases.

Developing diagnostic tools based on the application of known disease/phenotype-associated copy number variations (CNVs) requires the capacity to measure CNVs in a multiplex format with sufficient reliability and methodological simplicity. In this study, we developed a reliable and user-friendly multiplex CNV detection method, termed stuffer-free MLPA-CE-SSCP, that combines a variation of multiplex ligation-dependent probe amplification (MLPA) with CE-SSCP. In this variation, MLPA probes were designed without the conventionally required stuffer sequences. To separate the similar-sized stuffer-free MLPA products, we adopted CE-SSCP rather than length-dependent conventional CE analysis. An examination of the genomic DNA from five cell lines known to vary in X-chromosome copy number (1-5) revealed that copy number determinations using stuffer-free MLPA-CE-SSCP were more accurate than those of conventional MLPA, and the CV of the measured copy numbers was significantly lower. Applying our system to measure the CNVs on autosomes between two HapMap individuals, we found that all peaks for CNV targets showed the expected copy number changes. Taken together, our results indicate that this new strategy can overcome the limitations of conventional MLPA, which are mainly related to long probe length and difficulties of probe preparation.