Laboratory of Genome Architecture and Regulation
유전체 구조 및 조절 연구실
School of Life Sciences, College of Natural Sciences, Kyungpook National University
Research Overview
Understanding global gene regulation is critical to understanding complex biological systems and human disease. The mechanism of gene regulation is complex, which includes transcriptional and epigenetic regulation, the three-dimensional architecture of the genome, and their interrelationship. Therefore, a comprehensive view and integrative analyses of diverse aspects of gene regulations are critical to understanding the process as a whole.
Our research aims to understand the comprehensive biological mechanisms underlying gene regulation and how dysregulation of this process is associated with human diseases. To achieve this, we systematically profile and re-analyze large-scale sequencing data.
Gene Regulation
and Genome Architecture
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, etc. We investigate this structural complexity of chromatin and its association with precise gene regulation.
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
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.