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논문검색

Pathogen detection using 16S rDNA signature chip with statistical pattern mapping

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영어

There have been many attempts to develop sensitive and accurate techniques for the detection and diagnosis of pathogenic bacteria using nucleic acid-based technology. To achieve efficient simultaneous detection of eleven selected pathogens, we constructed oligonucleotide microarray containing double specific capture probes and developed a statistical pattern mapping analytical tool for pathogenic bacteria detection. The two capture probes were designed from the total variable regions of 16S rDNA for precise detection. This microarray system harboring double capture probes and pattern recognition showed precise subtype discrimination between two closely related species. Therefore, using the proposed oligonucleotide microarray, we could successfully classify species and even subtypes of food-borne pathogens simultaneously.

저자정보

  • Hyung Joon Cha National Research Laboratory of Molecular Biotechnology, Department of Chemical Engineering, Pohang University of Science and Technology
  • Beong Hee Hwang National Research Laboratory of Molecular Biotechnology, Department of Chemical Engineering, Pohang University of Science and Technology

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