SungKyunKwan University, Korea (BS, MS)
Medical University of Vienna, Austria (Dr.Med.Sc.)
Johns Hopkins School of Medicine (Post-Doc)
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Neurodegenerative Diseases; Parkinson's Disease (PD); Alzheimer's Disease (AD); Gut-Brain Axis; Single-Cell Genomics; Epigenomics; Big Data; Deep Learning; Molecular Circadian Rhythms; Transgenic Animals; Identification of Cell-Type Specific Diagnostic Markers ...read more
Kang's Lab aims to identify the key molecular hubs causing selective vulnerability in Parkinson's disease (PD) and Alzheimer's Disease (AD), which are crucial to identify discriminative markers for diagnosis and new treatment modalities. A hypothesis "Gut-Brain Axis" associated with DNA damages and Sleep disorders, known as a bidirectional complexity triggering the progressive neurodegenerations, has been tested using experimental data obtained from genetically associated transgenic mice as well as formidable data generated from human post-mortem tissues. To further provide a comprehensive perspective, we have been developing unique bioinformatic algorithms and building data structure for deep learning-based genomic data integration. State-of-the-art technologies incl. in-house developed single-cell genomics (HiF-snRNAseq; High Efficient single nuclei RNA sequencing), spatial genomics (10x Genomics), metagenomics (Illumina), and epigenomics including Cut&Tag, WGBS, ATAC-seq, Hi-C have been applied for data collection.
scRNAsequencing; epigenomics incl. WGBS, ATAC-seq; Cut&Tag; Hi-C, Bioinformatics; Omics
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