
The results of an investigation aimed at the development of a DNA chip for the detection of genitourinary infections are described. Through analysis of over 35,000 clinical cases, 14 pathogens which are most abundantly found among Koreans were selected and candidate sequences for capture probes were accordingly chosen by considering their sequences and β-globin house-keeping gene. Among this group, the most suitable capture probe sequences were selected by employing repeated chip tests in which they are immobilized on a glass chip by using a recently developed novel gold nanoparticles-based method. A multiplex PCR method was established to generate fluorescence-labeled sequences for all 14 pathogens along with the β-globin gene. By using optimized hybridization conditions, the final chip was constructed and employed to diagnose reliably both single and multiple infections in clinical human samples for 14 target pathogens. The results show that the novel chip methodology serves as a highly reliable and convenient tool for the diagnosis of Sexually Transmitted Diseases (STDs). Furthermore, this study has its great significance in that it demonstrates the entire process from statistical analysis of a large number of clinical cases to the final development of STD DNA chip just ready to be applied or commercialized in the clinical diagnostic field.
Male, Sexually Transmitted Diseases, 610, Metal Nanoparticles, Equipment Design, Polymerase Chain Reaction, Republic of Korea, MULTIPLEX PCR ASSAY; CHLAMYDIA-TRACHOMATIS; OLIGONUCLEOTIDE MICROARRAY; NEISSERIA-GONORRHOEAE; URINE, Humans, Female, Gold, Fluorescent Dyes, Oligonucleotide Array Sequence Analysis
Male, Sexually Transmitted Diseases, 610, Metal Nanoparticles, Equipment Design, Polymerase Chain Reaction, Republic of Korea, MULTIPLEX PCR ASSAY; CHLAMYDIA-TRACHOMATIS; OLIGONUCLEOTIDE MICROARRAY; NEISSERIA-GONORRHOEAE; URINE, Humans, Female, Gold, Fluorescent Dyes, Oligonucleotide Array Sequence Analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
