Institute of Molecular and Genomic Medicine

Introduction | Members

Mission

• Form distinct integrated research groups
• Further recruitment of young promising scientists, postdoctoral fellows and students
• Develop and apply modern molecular and genomic methodology to conduct high quality research toward understanding, prevention and cure of diseases
• Promote genomic and molecular genetic research and related biotechnology development in Taiwan

Goals

• Development of state -of-the-art molecular and genomic technology and identification of genes and molecular mechanisms involved in diseases prevalent in Taiwan including cancer, infectious diseases and inherited diseases.
• Translational application of newly identified disease genes and newly developed methodology in clinical and biotechnological industries respectively.
• Training and development of promising young scientists including junior faculty, postdoctoral fellows and students to become productive independent investigators.
• Establishment of inter-divisional and inter-institutional research collaboration.

Organization chart

Research program and directions

(1) Functional Genomics Research Group

• Goal : using high throughput genomic approach to delineate genetic basis underlying diseases important in Taiwan
• Main strength：next-generation sequencing, genotyping, microbial genomics , transcriptome analysis, metabolome analysis, epigenomics analysis and systems biology
• Focus : cancer, infectious diseases, inherited diseases and neurodegenerative diseases

(2) The Development and Disease Models Research Group

• Goal ：understanding molecular mechanism of signaling pathway in human disease
• Main strength ：use various experimental disease models, including mouse, zebra fish, Drosophila, mosquito and yeast, to delineate signaling pathways involved in development and human diseases
• Focus：cancer and neurodegenerative disease

(3) The Molecular Signaling and Cancer Research Group

• Goal ：to unveil the molecular basis underlying the development and progression of cancer, and to identify biomarkers useful for diagnosis, prognosis and development of anti-cancer therapeutics
• Main strength： signal transduction and high throughput gene and protein analysis in cell-based and animal model-based systems, which is complemented by the clinical samples-based biochemical and gene array analysis
• Focus： lung, liver, breast, and oral cancers