• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.399-401
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• 2005

MIPROBE is a web-based tool for design of universal, genus-specific, and species-specific primers and probes. The main functions of MIPROBE are collection of target gene sequences, construction of consensus sequences, collection of candidate primers and probes, and evaluation of candidates by BLAST. Biologists with little computer skills can easily use MIPROBE to design large-scale universal, genus-, and species-specific primers and probes. This software is available at http://www.miprobe.com. Also detailed descriptions of how to use the program are found at this site.

• Fisheries and Aquatic Sciences
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• v.3 no.1
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• pp.64-70
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• 2000

DNA probes for the l6S rRNA have been designed for the detection of Edwardsiella tarda. In order to accomplish this purpose, the l6S rRNA gene from E. tarda has been cloned and sequenced. Two highly feasible oligonucleotide probe sites have been determined by the database analysis programs presented by PCGENE and BLAST. These two probes have been evaluated by slot blot hybridization analysis. Hetero- and homo-trimeric templates have been synthesized using these two probe sites. The templates have been further multimerized by PCR to generate between 150 and 300 bp long DIG-11-dUTP labeled probes. Unlike 3' end labeled oligonucleotide probes or templates, multimerized probes showed no cross­hybridization in the given experimental condition. Furthermore, a significant increase in sensitivity has been observed with these probes. This method, we presented here, may be useful for the designing of probes for the detection of other fish pathogenic microorganisms also.

• Plant Resources
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• v.7 no.2
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• pp.116-122
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• 2004

We tried to isolating a noble gene from cucumber library with heterogeneouse RNA probe labeled DIG of Arabidopsis PIN3 gene. Two kinds of RNA probes which had no significant homology each others, were designed from the 5'- and 3'- prime nucleotides of the AtPIN3 gene. In the first and second screenings of the cDNA library of cucumber with the probes, two positive clones were identified with specific duplicate signals. However, we isolated cDNA fragments homologous with putative nucleases from Nicotiana, Arabidopsis, Cordialis, and Oryza sativa, there was no significant homology with any other PIN family genes.

• Journal of Microbiology and Biotechnology
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• v.19 no.7
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• pp.658-665
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• 2009

Quality control QC for spot-uniformity is a critical point in fabricating an oligonucleotide array, and quantification of targets is very important in array analysis. We developed two new types of QC probes as a means of confirming the quality of the uniformity of attached probes and the quantification of targets. We compared the signal intensities and fluorescent images of the QC and target-specific probes of arrays containing only target-specific probes and those containing both QC and target-specific probes. In a comparison of quality control methods, it was found that the arrays containing QC probes could check spot-uniformity or spot defects during all processes of array fabrication, including after spotting, after washing, and after hybridization. In a comparison of quantification results, the array fabricated by the method using QC probes showed linear and regular results because it was possible to normalize variations in spot size and morphology and amount of attached probe. This method could avoid errors originating in probe concentration and spot morphology because it could be normalized by QC probes. There were significant differences in the signal intensities of all mixtures (P<0.05). This result indicates that the method using QC probes is more useful than the ordinary method for quantification of mixed target. In the quantification of mixed targets, this method could determine a range for mixed targets of various amounts. Our results suggest that methods using QC probes for array fabrication are very useful to the quality control of spots in the fabrication processes of quantitative oligonucleotide arrays.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.107-116
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• 2004

The advent of microarray technologies gives an opportunity to moni tor the expression of ten thousands of genes, simultaneously. Such microarray data can be deteriorated by experimental errors and image artifacts, which generate non-negligible outliers that are estimated by 15% of typical microarray data. Thus, it is an important issue to detect and correct the se faulty probes prior to high-level data analysis such as classification or clustering. In this paper, we propose a systematic procedure for the detection of faulty probes and its proper correction in Genechip array based on multivariate statistical approaches. Principal component analysis (PCA), one of the most widely used multivariate statistical approaches, has been applied to construct a statistical correlation model with 20 pairs of probes for each gene. And, the faulty probes are identified by inspecting the squared prediction error (SPE) of each probe from the PCA model. Then, the outlying probes are reconstructed by the iterative optimization approach minimizing SPE. We used the public data presented from the gene chip project of human fibroblast cell. Through the application study, the proposed approach showed good performance for probe correction without removing faulty probes, which may be desirable in the viewpoint of the maximum use of data information.

• Genomics & Informatics
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• v.9 no.4
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• pp.173-180
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• 2011

Recent trends in generating multiple, large-scale datasets provide new challenges to manipulating the relationship of different types of components, such as gene expression and drug response data. Integrative analysis of compound response and gene expression datasets generates an opportunity to capture the possible mechanism of compounds by using signature genes on diverse types of cancer cell lines. Here, we integrated datasets of compound response and gene expression profiles on NCI60 cell lines and constructed a network, revealing the relationship for 801 compounds and 341 gene probes. As examples, obtusol, which shows an exclusive sensitivity on a small number of colon cell lines, is related to a set of gene probes that have unique overexpression in colon cell lines. We also found that the SLC7A11 gene, a direct target of miR-26b, might be a key element in understanding the action of many diverse classes of anticancer compounds. We demonstrated that this network might be useful for studying the mechanisms of varied compound response on diverse cancer cell lines.

• Journal of Microbiology and Biotechnology
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• v.16 no.5
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• pp.740-747
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• 2006

Amplification by universal consensus sequences in pathogenic bacterial DNA would allow rapid identification of pathogenic bacteria, and amplification of genus-specific and species-specific sequences of pathogenic bacterial DNA might be used for genotyping at the genus and species levels. For design of probes for molecular diagnostics, several tools are available as stand-alone programs or as Web application. However, since most programs can design only a few probe sets at one time, they are not suitable for large-scale and automatic probes design. Therefore, for high-throughput design of specific probes in diagnostic array development, an automated design tool is necessary. Thus, we developed a Web-based automatic system for design of genus-specific and species-specific probes for pathogen detection. The system is available at http://www.miprobe.com.

• Asian-Australasian Journal of Animal Sciences
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• v.2 no.3
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• pp.435-438
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• 1989

• Journal of Embryo Transfer
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• v.30 no.2
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• pp.99-107
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• 2015

The aim of the present study was to identify coat color associated genes that are differentially expressed in mature Korean brindle cattle (KBC) with different coat colors and in Hanwoo cows. KBC calves, before and after coat color appearance, were included. Total cellular RNA was isolated from the tail hair cells and used for microarray. The number of expressed coat color associated genes/probes was 5813 in mature KBC and Hanwoo cows. Among the expressed coat color associated genes/probes, 167 genes were the coat color associated genes listed in the Gene card database and 125 genes were the pigment and melanocyte genes listed in the Gene ontology_bovine database. There were 23 genes/probes commonly listed in both databases and their expressions were further studied. Out of the 23 genes/probes, MLPH, PMEL, TYR and TYRP1 genes were expressed at least two fold higher (p<0.01) levels in KBC with brindle color than either Hanwoo or KBC with brown color. TYRP1 expression was 22.96 or 19.89 fold higher (p<0.01) in KBC with brindle color than either Hanwoo or KBC with brown color, respectively, which was the biggest fold difference. The hierarchical clustering analysis indicated that MLPH, PMEL, TYR and TYRP1 were the highly expressed genes in mature cattle. There were only a few genes differentially expressed after coat color appearance in KBC calves. Studies on the regulation and mechanism of gene expression of highly expressed genes would be next steps to better understand coat color determination and to improve brindle coat color appearance in KBC.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.4 no.1
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• pp.26-31
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• 2018

Macrophages play a key role in atherosclerotic plaque formation, but their participation has been discerned largely via ex vivo analyses of atherosclerotic lesions. Therefore, we aimed to identify atherosclerosis on noninvasive in vivo imaging using reporter gene system. This study demonstrated that recruitment of macrophages could be detected in atherosclerotic plaques of Apolipoprotein E knockout (ApoE-/-) mice with a sodium iodide symporter (NIS) gene imaging system using $^{99m}Tc-SPECT$. This novel approach to tracking macrophages to atherosclerotic plaques in vivo could have applications in studies of arteriosclerotic vascular disease.