• Mycobiology
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• v.32 no.1
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• pp.24-34
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• 2004

Molecular approaches, internal transcribed spacer(ITS) sequences of ribosomal DNA, and Universal Rice Primer Polymerase Chain Reaction(URP-PCR) were used to investigate the genetic diversity, taxonomic complexity, and relationships of Trichoderma species in mushroom farms. Forty-one isolates of 13 Trichoderma spp. were used in this study and clustered into eight groups. The DNA fingerprint patterns and ITS1 region sequence alignment data showed similar results, but not in some species, such as T. virens, T. atroviride, T. harzianum, and T. aureoviride. Results of this study have proven that the morphology-based taxonomic system has some limitations in terms of classification. The data obtained in this study would be a good index for classifying indistinguishable Trichoderma strains.

• Journal of Plant Biotechnology
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• v.7 no.2
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• pp.105-112
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• 2005

Buffer soluble protein and five isozymes were analyzed to assess the inter specific relationship among 25 species of the genus Mammillaria Haw. A total of 102 types of proteins were resolved, out of which eighty-six types were found to be polymorphic and only two were unique. A total of 248 bands (isoforms) were detected for 5 isozymes, among them only 4 were found to be monomorphic and 35 were exclusive. Mantel 'Z' statistics revealed wide variations in the correlation among different enzymes. The correlation value 'r' was the highest in case of esterase with pooled data of all the five enzymes. The dendrogram constructed on the basis of pooled data (protein and allozyme) divided the species into two major clusters containing 14 and 11 members respectively. The species M. matudae and M. bella were found to be the most closely related while M. decipience and M. camptroticha were distantly apart. The present study gave an indication of usefulness of the isozyme and protein markers for genetic discrimination between different species of Mammillaria.

• The Korean Journal of Applied Statistics
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• v.24 no.5
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• pp.847-859
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• 2011

cDNA microarray-based comparative genomic hybridization(CGH) data includes low-intensity spots and thus a statistical strategy is needed to detect subtle differences between different cancer classes. In this study, genes displaying a high frequency of alteration in one of the different classes were selected among the pre-selected genes that show relatively large variations between genes compared to total variations. Utilizing copy-number changes of the selected genes, this study suggests a statistical approach to predict patients' classes with increased performance by pre-classifying patients with similar genetic alteration scores. Two-stage logistic regression model(TLRM) was suggested to pre-classify homogeneous patients and predict patients' classes for cancer prediction; a decision tree(DT) was combined with logistic regression on the set of informative genes. TLRM was constructed in cDNA microarray-based CGH data from the Cancer Metastasis Research Center(CMRC) at Yonsei University; it predicted the patients' clinical diagnoses with perfect matches (except for one patient among the high-risk and low-risk classified patients where the performance of predictions is critical due to the high sensitivity and specificity requirements for clinical treatments. Accuracy validated by leave-one-out cross-validation(LOOCV) was 83.3% while other classification methods of CART and DT performed as comparisons showed worse performances than TLRM.

• JSTS:Journal of Semiconductor Technology and Science
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• v.14 no.2
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• pp.153-162
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• 2014

We show that carbon nanotube sensors with gold particles on the single-walled carbon nanotube (SWNT) network operate as Schottky barrier transistors, in which transistor action occurs primarily by varying the resistance of Au-SWNT junction rather than the channel conductance modulation. Transistor characteristics are calculated for the statistically simplified geometries, and the sensing mechanisms are analyzed by comparing the simulation results of the MOSFET model and Schottky junction model with the experimental data. We demonstrated that the semiconductor MOSFET effect cannot explain the experimental phenomena such as the very low limit of detection (LOD) and the logarithmic dependence of sensitivity to the DNA concentration. By building an asymmetric concentric-electrode model which consists of serially-connected segments of CNTFETs and Schottky diodes, we found that for a proper explanation of the experimental data, the work function shifts should be ~ 0.1 eV for 100 pM DNA concentration and ~ 0.4 eV for $100{\mu}M$.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2006.02a
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• pp.98-107
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• 2006

Chromosomal copy number changes (aneuploidies) are common in human populations. The extra chromosome can affect gene expression by whole-genome level. By gene expression microarray analysis, we want to find aberrant gene expression due to aneuploidies in Klinefelter (+X) and Down syndrome (+21). We have analyzed the inactivation status of X-linked genes in Klinefelter Syndrome (KS) by using X-linked cDNA microarray and cSNP analysis. We analyzed the expression of 190 X-linked genes by cDNA microarray from the lymphocytes of five KS patients and five females (XX) with normal males (XY) controls. cDNA microarray experiments and cSNP analysis showed the differentially expressed genes were similar between KS and XX cases. To analyze the differential gene expressions in Down Syndrome (DS), Amniotic Fluid (AF)cells were collected from 12 pregnancies at $16{\sim}18$ weeks of gestation in DS (n=6) and normal (n=6) subjects. We also analysis AF cells for a DNA microarray system and compared the chip data with two dimensional protein gel analysis of amniotic fluid. Our data may provide the basis for a more systematic identification of biological markers of fetal DS, thus leading to an improved understanding of pathogenesis for fetal DS.

• Preventive Nutrition and Food Science
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• v.4 no.3
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• pp.209-214
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• 1999

In this study, the effectof ethanol and acetaldehyde on DNA binding activities of NF-$textsc{k}$B and AP-1 were evaluated in C6 rat glial cells. Both NF-$textsc{k}$B and AP-1 are important transcription factors for the expression of various cytokines in glial cells. Our data showed that neither ethanol nor acetaldehyde induced conspicuous cell death of C6 cells at clinically realistic concentrations. When the DNA binding activities of nuclear NF-$textsc{k}$B and AP-1 were estimated using electrophoretic mobility shift assay (EMSA), ethanol(0.3%) or acetaldehyde(1mM) induced transient activation of these transcription factors, which attained peak levels at 4~8 hours and declined to basal levels at 12 hours after treatement . The supershift analysis showed that the increased activities of NF-$textsc{k}$B in ethanol/acetaldehyde-treated C6 cells were due to the preferential induction of p65/p50 heterodimer complex. The DNA binding activities of these transcriptional factors decreased below basal levels when cells were cultured with either ethanol or acetaldehyde for 24 hours, and showed the inhibitory effect of chronic ehtanol /acetaldehyde treatment on the activities of these transsriptional factors. Our data indicate that either ethanol or acetaldehyde can induce functional changes of glial cells throught bi-directional modulation of NF-$textsc{k}$B and AP-1 DNA binding activities.

• KOGO NEWS
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• v.5 no.4
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• pp.17-25
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• 2005

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.776-779
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• 2008

It is expect that Microarray technique be direct classification and diagnosis of Genetic data have abnomal data value because DNA technique. It is necessary that many noses that is abnomal data in sampling genetic data. So in this paper reported sampling method in exiting study then suggests new data classific system and modeling method using EP by Matlab about three dataset.

• Interdisciplinary Bio Central
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• v.5 no.1
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• pp.2.1-2.3
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• 2013

Birth and development of information biology are introduced with its definition and scientific basis. The discipline lives on the two types of nutrition, one is a huge amount of biological data on genomes, gene expressions, proteomes, protein 3D structures, protein networks, and so forth. The other is the method of using them on a computer. The scientific basis of the two is evolution. To collect genome and gene expression data form laboratories in the world, annotate and dissimilate back to researchers worldwide, they built the EMBL database in Europe in 1982, GenBank in USA in 1984 and DNA Data Bank of Japan in 1987. On the other hand, the methods of using and analyzing those data have accordingly been developed. The two aspects advance the discipline further and further.

• Proceedings of the Ginseng society Conference
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• 1993.09a
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• pp.138-142
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• 1993

Korean ginseng has been widely used as medicine from ancient times in Asia. Current breeding efforts in Korea include the individual plant selection and the subsequent pure - line isolation, and considerable number of lines with desirable traits have thus been isolated. However, there were rare data on genetic maker and its analysis for selection of superior varieties. For taxonomic characterization and development of genetic markers for ginseng breeding, molecular biological methods including the RFLP and RAPD methods were applied. Cytoplasmic DNA of ginseng was analyzed for RFLP analysis. However. there is no different pattern among the chloroplast DNA or mitochondrial DNA of variants. In the case of RAPD analysis, the band patterns using 4 of 10 RAPD primers show the distinctive polymorphism among 9 ginseng variants, and lines, and Similarity Index(SI) on polymorphism was calculated for the extent and nature of these variabilities in ginseng. The sequences of 4 selected primers were TGCCGAGCTG, AATCGGGCTG. GAAACGGGTG, and GTGACGTAGG. By SI based on the polymorphic band patterns, Chungkyung - Chong and Hwangskoog - Chong, and JakyungChong 81783 and Jinjakyung of Russia showed the most close SI. The data of KG10l coincided with the fact that it was released from Hwangskoog - Chong. and Jakyung - Chong 81783 and Jinjakyung of Russia showed the most close SI. The data of KG101 coincided with the fact that it was released from Hwangskoog - Chong by breeding process. The data of Jakyung strains indicated the significant variation among the strains. From these results, RAPD analysis method could be succesively applied to the classification and genetic analysis for breeding of Korean ginseng.