Laboratory of Epigenomic Bioinformatics
Laboratory of Epigenomic Bioinformatics
후성유전체 정보학 연구실
School of Life Sciences, College of Natural Sciences, Kyungpook National University
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We investigates how gene expression is regulated by the three-dimensional structure of the genome and epigenetic mechanisms, and how alterations in this structure and disruptions in gene regulation at the epigenomic level are linked to physical abnormalities such as aging and disease.
To address these topics, our lab conducts sample preparation and HTS (high-throughput sequencing; including NGS) at the in vitro and mouse model levels, along with analysis and interpretation of the resulting sequencing data. In addition, our research is carried out through data mining from public databases and big data analysis, and through experimental validation of the computational findings.
후성유전체 정보학 연구실은 유전자 발현이 어떻게 3차원 유전체 구조 및 후성유전학적 기전에 의해 조절되는지, 그리고 이 구조의 변화 및 유전자 발현에 대한 조절 장애가 어떻게 신체적 결함 (노화, 질병 등)에 연관되어 있는지 후성유전체 수준에서 연구하고 있습니다.
이를 위해 시험관/생쥐 수준에서 샘플 준비와 HTS (high-throughput sequencing, NGS를 포함) 데이터 생산 및 해석을 수행하고 있으며, 이와 더불어 공공 데이터베이스에서의 데이터 마이닝을 통한 빅데이터 분석, 데이터 분석 결과의 실험적 검증 등을 통해 연구를 진행하고 있습니다.
Keywords: Epigenomics, Gene regulation, Genome architecture, Aging, Age-associated diseases
Gene Regulation
and Genome Architecture
Gene Regulation
and Genome Architecture
The location of DNA in the nucleus appears to be disordered, but in fact, it is determined by elaborate rules. The chromosomal three-dimensional architecture organized by these rules plays a major role in epigenetic gene regulation through multi-layered complex processes, such as DNA-DNA interaction, DNA-protein interaction, chromatin localization. We investigate this structural complexity of chromatin and its association with precise gene regulation.
Diseases and Aging
Diseases and Aging
Many different physiological defects, including aging, neurological disorders, diabetes, and cardiovascular diseases, are caused by the dysfunction of the gene expression machinery. We try to understand how the dysregulation of such a process is associated with physiological defects based on animal model studies and big data analyses. Furthermore, we hope to find therapeutics for them.
Big Data Biology
Big Data Biology
To study these, we actively perform public data mining and integrative big data analysis. Tons of high-throughput sequencing data are deposited in public databases (e.g., NCBI SRA), and the volume of data keeps growing exponentially. We believe that a comprehensive view (i.e., systems biology) of the data may provide clues to unveiling the secrets of biological phenomena.
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