• Genomics & Informatics
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• v.21 no.1
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• pp.13.1-13.8
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• 2023

Importance of accurate molecular diagnosis and quantification of particular disease-related pathogenic microorganisms is highlighted as an introductory step to prevent and care for diseases. In this study, we designed a primer/probe set for quantitative real-time polymerase chain reaction (qRT-PCR) targeting rgpA gene, known as the specific virulence factor of periodontitis-related pathogenic bacteria 'Porphyromonas gingivalis', and evaluated its diagnostic efficiency by detecting and quantifying relative bacterial load of P. gingivalis within saliva samples collected from clinical subjects. As a result of qRT-PCR, we confirmed that relative bacterial load of P. gingivalis was detected and quantified within all samples of positive control and periodontitis groups. On the contrary, negative results were confirmed in both negative control and healthy groups. Additionally, as a result of comparison with next-generation sequencing (NGS)-based 16S metagenome profiling data, we confirmed relative bacterial load of P. gingivalis, which was not identified on bacterial classification table created through 16S microbiome analysis, in qRT-PCR results. It showed that an approach to quantifying specific microorganisms by applying qRT-PCR method could solve microbial misclassification issues at species level of an NGS-based 16S microbiome study. In this respect, we suggest that P. gingivalis-specific primer/probe set introduced in present study has efficient applicability in various oral healthcare industries, including periodontitis-related microbial molecular diagnosis field.

• Journal of dental hygiene science
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• v.15 no.2
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• pp.209-219
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• 2015

In order to explore an effect of interaction of Streptococcus gordonii, Fusobacterium nucleatum and Porphyromonas gingivalis that are bacteria relevant to periodontal disease on its growth, the bacteria were incubated in trypticase soy hemin menadione broth at $37^{\circ}C$ $CO_2$ incubator for 7 days through anaerobic jar by single and co-culture with heat treated dead bacteria under anaerobic gas pack. In order to confirm growth level, absorbance was measured and for confirming colony structure and form, it was observed with scanning electron microscope. In order to confirm an effect on pathogenicity of P. gingivalis, real time reverse transcriptase polymerase chain reaction was implemented for expression analysis for rgpA gene that produces HRgpA which is gingipain. As a result, the following conclusion was obtained. Colony formation of S. gordonii and P. gingivalis was increased by other dead bacteria and in case of F. nucleatum, its colony formation was showed an aspect of being increased by dead bacterium of P. gingivalis but decreased by dead bacterium of S. gordonii. Therefore, it is considered that the strains being used for this study would affect interactively through bacterial cell itself as well as their interaction factor at the time of colony formation.

• Korean Journal of Breeding Science
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• v.40 no.1
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• pp.1-7
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• 2008

An attempt was made to link rice embryo proteins to DNA sequences and to understand their functions. One hundred of the 700 spots detected on the embryo 2-DE gels were microsequenced. Of these, 28% of the embryo proteins were matched to DNA sequences with known functions, but 72% of the proteins were unknown in functions as previously reported (Woo et al. 2002). In addition, twenty-four protein spots with 100% of homology and nine with over 80% were matched to ESTs (expressed sequence tags) after expanding the amino acid sequences of the protein spots by Database searches using the available rice EST databases at the NCBI (http://www/ncbi.nlm.nih.gov/) and DDBJ (http://www.ddbj.nig.ac.jp/). The chromosomal location of some proteins were also obtained from the rice genetic map provided by Japanese Rice Genome Research Program (http://rgp.dna.affrc.go.jp). The DNA sequence databases including EST have been reported for rice (Oryza sativa L.) now provides whole or partial gene sequence, and recent advances in protein characterization allow the linking proteins to DNA sequences in the functional analysis. This work shows that proteome analysis could be a useful tool strategy to link sequence information and to functional genomics.