• BMB Reports
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• 제28권5호
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• pp.402-407
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• 1995

Single-run Partial cDNA sequencing was conducted on 1,592 randomly selected human fetal liver cDNA clones of Korean origin to isolate novel genes related to liver functions. Each partial cDNA sequence determined was analyzed by comparing it with the databases. GenBank, Protein Information Resource (PIR) and SWISS-PROT Protein Sequence Data Bank. From a set of 1.592 cDNA clones reported here, 1,433 (90.0% of the total) were informative cDNA sequences. The other 159 clones were identified as DNA sequences which had originated from the cloning vector. Among 1,433 informative partial cDNA sequences, 851 (59.3%) clones were revealed to be identical to known human genes. These known genes have been classified into 225 different kinds of genes. In addition, 340 clones (23.7%) showed various degrees of homology to previously known human genes. Ninety four (6.6%) clones contained various repeated sequences. Twenty four (1.7%) partial cDNA sequences were found to have considerable homology to known genes from evolutionarily distant organism such as yeast, rice, Arabidopsis, mouse and rat, based on database matches, whereas 124 (8.7%) had no Significant matches. Human homologues to functionally characterized genes from different organisms could be classified as candidates for novel human genes of similar functions. Information from the partial cDNA sequences in this study may facilitate the analysis of genes expressed in human fetal liver.

• Biomolecules & Therapeutics
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• 제30권1호
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• pp.80-89
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• 2022

The targeting of DNA methylation in cancer using DNA hypomethylating drugs has been well known to sensitize cancer cells to chemotherapy and immunotherapy by affecting multiple pathways. Herein, we investigated the combinational effects of DNA hypomethylating drugs and ionizing radiation (IR) in human sarcoma cell lines both in vitro and in vivo. Clonogenic assays were performed to determine the radiosensitizing properties of two DNA hypomethylating drugs on sarcoma cell lines we tested in this study with multiple doses of IR. We analyzed the effects of 5-aza-dC or SGI-110, as DNA hypomethylating drugs, in combination with IR in vitro on the proliferation, apoptosis, caspase-3/7 activity, migration/invasion, and Western blotting using apoptosis- or autophagy-related factors. To confirm the combined effect of DNA hypomethylating drugs and IR in our in vitro experiment, we generated the sarcoma cells in nude mouse xenograft models. Here, we found that the combination of DNA hypomethylating drugs and IR improved anticancer effects by inhibiting cell proliferation and by promoting synergistic cell death that is associated with both apoptosis and autophagy in vitro and in vivo. Our data demonstrated that the combination effects of DNA hypomethylating drugs with radiation exhibited greater cellular effects than the use of a single agent treatment, thus suggesting that the combination of DNA hypomethylating drugs and radiation may become a new radiotherapy to improve therapeutic efficacy for cancer treatment.

• Bioinformatics and Biosystems
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• 제1권1호
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• pp.67-72
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• 2006

The aim of this paper is to discuss the effect of missing values in detecting differentially expressed genes in a cDNA microarray experiment in the context of a one sample problem. We conducted a cDNA micro array experiment to detect differentially expressed genes for the metastasis of colorectal cancer based on twenty patients who underwent liver resection due to liver metastasis from colorectal cancer. Total RNAs from metastatic liver tumor and adjacent normal liver tissue from a single patient were labeled with cy5 and cy3, respectively, and competitively hybridized to a cDNA microarray with 7775 human genes. We used $M=log_2(R/G)$ for the signal evaluation, where Rand G denoted the fluorescent intensities of Cy5 and Cy3 dyes, respectively. The statistical problem comprises a one sample test of testing E(M)=0 for each gene and involves multiple tests. The twenty cDNA microarray data would comprise a matrix of dimension 7775 by 20, if there were no missing values. However, missing values occur for various reasons. For each gene, the no missing proportion (NMP) was defined to be the proportion of non-missing values out of twenty. In detecting differentially expressed (DE) genes, we used the genes whose NMP is greater than or equal to 0.4 and then sequentially increased NMP by 0.1 for investigating its effect on the detection of DE genes. For each fixed NMP, we imputed the missing values with K-nearest neighbor method (K=10) and applied the nonparametric t-test of Dudoit et al. (2002), SAM by Tusher et al. (2001) and empirical Bayes procedure by $L\ddot{o}nnstedt$ and Speed (2002) to find out the effect of missing values in the final outcome. These three procedures yielded substantially agreeable result in detecting DE genes. Of these three procedures we used SAM for exploring the acceptable NMP level. The result showed that the optimum no missing proportion (NMP) found in this data set turned out to be 80%. It is more desirable to find the optimum level of NMP for each data set by applying the method described in this note, when the plot of (NMP, Number of overlapping genes) shows a turning point.

• 한국지능시스템학회논문지
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• 제17권2호
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• pp.167-172
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• 2007

많은 유전자 정보와 그 부산물은 많은 방법을 통해 연구되어 왔다. DNA 마이크로어레이 기술의 사용은 많은 데이터를 가져왔으며, 이렇게 얻은 데이터는 기존의 연구 방법으로는 분석하기 힘들다. 본 논문에서는 많은 양의 데이터를 처리할 수 있게 하기 위하여 K-means 클러스터링 알고리즘을 이용한 분할 클러스터링을 제안하였다. 제안한 방법을 쌀 유전자로부터 나온 마이크로어레이 데이터에 적용함으로써 제안된 클러스터링 방법의 유용성을 검증하였으며, 기존의 K-means 클러스터링 알고리즘을 적용한 결과와 비교함으로써 제안된 알고리즘의 우수성을 확인할 수 있었다.

• Animal Systematics, Evolution and Diversity
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• 제27권2호
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• pp.159-163
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• 2011

DNA barcoding of Bryozoa or "moss animals" has hardly advanced and lacks reference sequences for correct species identification. To date only a small number of cytochrome c oxidase subunit I (COI) sequences from 82 bryozoan species have been deposited in the National Center for Biotechnology Information (NCBI) GenBank and Barcode of Life Data Systems (BOLD). We here report COI data from 53 individual samples of 29 bryozoan species collected from Korean seawater. To our knowledge this is the single largest gathering of COI barcode data of bryozoans to date. The average genetic divergence was estimated as 23.3% among species of the same genus, 25% among genera of the same family, and 1.7% at intraspecific level with a few rare exceptions having a large difference, indicating a possibility of presence of cryptic species. Our data show that COI is a very appropriate marker for species identification of bryozoans, but does not provide enough phylogenetic information at higher taxonomic ranks. Greater effort involving larger taxon sampling for the barcode analyses is needed for bryozoan taxonomy.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2005년도 추계학술대회
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• pp.204-204
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• 2005

• 기술혁신학회지
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• 제2권3호
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• pp.94-106
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• 1999

In Korea Basic Science Institute(KBSI) the remote data analysis system is developed for the joint use of advanced equipments. This system enables the researchers to access the datas which are produced at KBSI and analyse them by Java program on the Web,. Except Web browser such as Internet Explorer or Netscape Navigator no additional softwares are required for analysing data. We have developed remote data analysis systems for five major equipments which KBSI supports for the researchers, The systems which are developed are those for NMR spectrometer High Reso-lution Tandem mass Spectrometer Microscopic Imaging System DNA Sequencer and Natural Ra-dioactivity Measruement System, These programs work on any computer platform and any operat-ing system only if the internet is available. This remote data analysis system will be served as a part of Collaboratory the remote collaborative system.

• Applied Biological Chemistry
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• 제39권5호
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• pp.403-408
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• 1996

토양에서 세균군집의 DNA를 추출하여 이사디 분해세균의 밀도와 군집변화를 tdfA 유전자와 Spa Probe를 이용하여 조사하였다. 이사디 분해균주인 Pseudomonas cepacia/pJP4을 토양에 여러 가지 밀도로 접종한 후 추출된 토양세균군집의 DNA를 Southern blot에서 분석한 결과, 본 실험에 사용된 DNA probe method에 의해 이 세균을 $10^5\;cells/g$ soil 수준까지 검출할 수 있는 것으로 나타났다. 이사디를 가해준 microcosm 토양에서 추출된 세균군집의 DNA를 분석한 실험에서는 Pseudemonas pickettii와 Sphingomonas Paucimobilis가 우점종으로 검출되었고, 사용된 두 가지의 DNA probes는 토양의 이사디 분해미생물에 대해 매우 높은 특이성을 가지고 있는 것으로 나타났다. 밭에 이사디를 장기 적으로 가해준 후 추출된 토양세균군집의 DNA를 분석 한 실험에서는 이사디를 최소한 10 ppm 이상 가해주어야 토양의 이사디 분해세균을 DNA probe method에 의해 검출할 수 있었고, tfdA 유전자는 실제의 밭토양에서도 높은 특이성을 나타냈으나 Spa probe는 일부의 토착세균에 비특이적으로 반응하는 것으로 나타났다. 토양에서 추출된 세균군집의 DNA를 분석하는 DNA probe method는 Southern blot과 함께 사용되었을 때 토양에 존재하는 이사디 분해미생물을 실험실 배지에 배양하지 않고 검출할 수 있었고,이 미생물들의 밀도, 군집변화, 유전적 변화 등을 효과적으로 분석할 수 있는 것으로 나타났다.

• Journal of the Korean Data and Information Science Society
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• 제16권4호
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• pp.951-958
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• 2005

As a foundation study of stem cell applied research, it is necessary to identify the large gene expression through cDNA microarray to understand principles of the level of molecular about cell function. In this paper, we investigated the gene expression through the K-means clustering method and path analysis with genes related to pluripoteny and differentiation in an mouse early stage embryonic development process and embryonic stem cell differentiation. We find a few biological phenomenon through this study. Also, we realize that this process provides functional relationship of unknown genes.

• Genomics & Informatics
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• 제4권4호
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• pp.173-181
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• 2006

Pattern finding is one of the important tasks in a protein or DNA sequence analysis. Alignment is the widely used technique for finding patterns in sequence analysis. BLAST (Basic Local Alignment Search Tool) is one of the most popularly used tools in bio-informatics to explore available DNA or protein sequence databases. BLAST may generate a huge output for a large sequence data that contains various sequence patterns. However, BLAST does not provide a tool to summarize and analyze the patterns or matched alignments in the BLAST output file. BLAST lacks of general and robust parsing tools to extract the essential information out from its output. This paper presents a pattern summary system which is a powerful and comprehensive tool for discovering pattern structures in huge amount of sequence data in the BLAST. The pattern summary system can identify clusters of patterns, extract the cluster pattern sequences from the subject database of BLAST, and display the clusters graphically to show the distribution of clusters in the subject database.