• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.967-969
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• 2005

유전자의 발현은 전사인자와 전사인자 결합부위의 결함에 의해 조절된다. 따라서 이러한 결합부위를 예측하는 것은 유전학 분야에서 중요한 이슈이다. 본 논문에서는 접미사 배열을 이용하여 전사인자가 결합할 것으로 예상되는 DNA 서열들의 공통서열을 추출하고, 이를 다시 입력 서열과 부분 정렬을 수행함으로써 전사인자가 결합하는 부위를 예측하는 알고리즘을 제시한다. 그리고 알려진 전사인자 결합부위를 가진 데이터로 실험한 결과를 통해 제시된 추출 방법의 성능에 대하여 논의한다.

• Clinical and Experimental Reproductive Medicine
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• v.33 no.2
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• pp.125-132
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• 2006

Objective: In the previous study, we complied the differentially expressed genes during early folliculogenesis. Objective of the present study was to identify downstream target genes of transcription factors (TFs) using bioinformatics for selecting the target TFs among the gene lists for further functional analysis. Materials & Methods: By using bioinformatics tools, constituent domains were identified from database searches using Gene Ontology, MGI, and Entrez Gene. Downstream target proteins/genes of each TF were identified from database searches using TF database ($TRANSFAC^{(R)}$ 6.0) and eukaryotic promoter database (EPD). Results: DNA binding and trans-activation domains of all TFs listed previously were identified, and the list of downstream target proteins/genes was obtained from searches of TF database and promoter database. Based on the known function of identified downstream genes and the domains, 3 (HNF4, PPARg, and TBX2) out of 26 TFs were selected for further functional analysis. The genes of wee1-like protein kinase and p21WAF1 (cdk inhibitor) were identified as potential downstream target genes of HNF4 and TBX2, respectively. PPARg, through protein-protein interaction with other protein partners, acts as a transcription regulator of genes of EGFR, p21WAF1, cycD1, p53, and VEGF. Among the selected 3 TFs, further study is in progress for HNF4 and TBX2, since wee1-like protein kinase and cdk inhibitor may involved in regulating maturation promoting factor (MPF) activity during early folliculogenesis. Conclusions: Approach used in the present study, in silico analysis of downstream target genes, was useful for analyzing list of TFs obtained from high-throughput cDNA microarray study. To verify its binding and functions of the selected TFs in early folliculogenesis, EMSA and further relevant characterizations are under investigation.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.487-496
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• 2003

The promoter that plays a very important role in gene expression as a signal part has various binding sites for transcription factors. These binding sites are located on various parts in promoter region and have highly conserved consensus sequence patterns. This paper presents a new method for the consensus pattern search in promoter regions using genetic algorithm, which adopts the assumption of N-occurrence-per-dataset model of MEME algorithm and employs the advantage of Wataru method in determining the pattern length. Our method will be employed by genome researchers who try to predict the promoter region on anonymous DNA sequence and to find out the binding site for a specific transcription factor.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.59 no.3
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• pp.263-281
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• 2014

Transcription factors are essential for the regulation of gene expression in plant. They are binding to either enhancer or promoter region of DNA adjacent to the gene and are related to basal transcription regulation, differential enhancement of transcription, development, response to intercellular signals or environment, and cell cycle control. The mechanism in controlling gene expression of transcription can be understood through the assessment of the complete sequence for the maize genome. It is possible that the maize genome encodes 4,000 or more transcription factors because it has undergone whole duplication in the past. Previously, several transcription factors of maize have been characterized. In this review article, the transcription factors were selected using Pfam database, including many family members in comparison with other family and listed as follows: ABI3/VP1, AP2/EREBP, ARF, ARID, AS2, AUX/IAA, BES1, bHLH, bZIP, C2C2-CO-like, C2C2-Dof, C2C2-GATA, C2C2-YABBY, C2H2, E2F/DP, FHA, GARP-ARR-B, GeBP, GRAS, HMG, HSF, MADS, MYB, MYB-related, NAC, PHD, and WRKY family. For analyzing motifs, each amino acid sequence has been aligned with ClustalW and the conserved sequence was shown by sequence logo. This review article will contribute to further study of molecular biological analysis and breeding using the transcription factor of maize as a strategy for selecting target gene.

• The Journal of Natural Sciences
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• v.18 no.1
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• pp.47-53
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• 2007

In order to find novel sRNA in Bacillus subtilis which would be used to adapt to several conditions, we searched the whole genome of Bacillus subtilis using the following procedure. At first, the locations of recognition sequence of transcription factors such as PerR, OhrR, Fur and Zur were searched in the intergenic region of Bacillus subtilis genome and the locations of rho independent transcription terminator sites were also determined. Based on the information of these locations, the sRNA candidates were chosen by close locations (less than 300 bp) between the recognition site of transcription factors and rho independent transcription terminator site. Than transcription promoter sites were searched in the region of previously identified sRNA candidates and 5 PerR, 1 OhrR, 1 Fur and 1 Zur regulated good sRNA candidates were found.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.820-822
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• 2003

접미사 배열이나 접미사 트리는 대용량의 서열데이터를 효율적으로 검색, 저장할 수 있는 인덱스 자료구조로서 바이오인포매틱스와 같이 대용량 데이터의 처리. 분석이 필요한 분야에 이용될 수 있다. 최근 들어 접미사 배열에 대한 연구가 활발히 진행되어 접미사 배열의 효율적인 저장, 선형시간 생성 및 선형시간 탐색 알고리즘들이 개발되었다. 본 논문에서는 같은 전사인자가 결합할 것으로 예상되는 여러 개의 전사조절부위에 대한 DNA 서열들이 입력으로 주어졌을 때 전사인자가 결합하는 부위를 예측하는 방법을 제시한다. 이를 위해 최근에 제시된 선형시간 접미사 배열 생성 알고리즘을 이용하고 TRANSFAC과 EMBL 등의 DB를 이용하여 실험을 통해 본 논문에서 제시하는 방법의 정확도를 평가한다.

• Journal of Life Science
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• v.15 no.6 s.73
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• pp.928-934
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• 2005

ATF2 is a cellular transcription factor which belongs to the CREB/ATF class and it is leucine zipper protein which generally binds to DNA as dimers. This paper presents the procedure for subcloning the ATF2 gene and the results of experiment used the expressed ATF2. The pET expression vector was used since it produced 6xHis fusion protein for easy purification using affinity column. The Nickel chelating chromatography was used for Purifying the expressed ATE2 from E- codi BL2l. Subsequen시y In vitro binding pull-down assay showed the binding specificity of ATF2 with AP-1 family factors such as BATF, c-Fos, c-Jun and ATF2 itselgf. ATF2 forms homodimer as well as strong heterodimer with BATF. It also forms stable dimer with c-Jun but barely binds with c-Fos.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.328-330
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• 2004

유전자 발현은 다양한 전사 인자들의 상호 작용에 의해서 조절되어진다 이러한 전사 인자들에 존재하는 모티프는 직접적으로 조절 작용을 위한 기능을 수행한다. 또한 대부분의 경우에서 여러 모티프가 함께 유전자 발현 기작을 위하여 조절 작용을 한다. 따라서 이러한 모티프들이 어떤 조합으로 함께 전사 과정에 관여하는지 여부를 밝히는 작업은 중요한 일이다. 본 논문에서 진화 연산을 응용하여, 다양한 조건 하에 전사 과정에 중요하게 작용하는 모티프들의 조합을 알아보았고, 그 결과를 기본적인 k-Means 알고리즘 등과 비교하여 제안한 방법이 유전자들의 상관관계에 있어서 보다 우수한 결과를 보임을 알 수 있었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1218-1224
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• 2008

Located on the upstream of a gene, the promoter region that plays a very important role in the control of gene expression as a signal part has various binding sites for transcription factors. These binding sites are present in various parts of the promoter region and assume an aspect of highly conserved consensus sequence pattern. This paper deals with the introductions of search methods for consensus pattern, including Wataru method, EM algorithm, MEME algorithm, Genetic algorithm and Phylogenetic Footprinting method, and intends to give future prospects of research on this field.

• Journal of Life Science
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• v.19 no.8
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• pp.1159-1163
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• 2009

It has been postulated that endoplasmic (ER) stress is involved in the development of several diseases. However, the detailed molecular mechanisms have not been fully understood. Therefore, we characterized a genetic network of genes induced by ER stress using cDNA microarray and gene set expression coherence analysis (GSECA), and identified gene function as well as several transcription regulators associated with ER stress. We analyzed time-dependent gene expression profiles in thapsigargin-treated Sk-Hep1 using an oligonucleotide expression chip, and then selected functional gene sets with significantly high expression coherence which was processed into functional clusters according to the expression similarities. The functions related to sugar binding, lysosome, ribosomal protein, ER lumen, and ER to golgi transport increased, whereas the functions with mRNA processing, DNA replication, DNA repair, cell cycle, electron transport chain and helicase activity decreased. Furthermore, functional clusters were investigated for the enrichment of regulatory motifs using GSECA, and several transcriptional regulators associated with regulation of ER-induced gene expression were found.