The long-term goal of our research is to elucidate
alternative isoform complexity in mammalian transcriptomes and proteomes
Mammalian cells generate astonishing regulatory diversity and complex phenotypes from a surprisingly small set of genes. We now know that considerable diversity is achieved by alternative processing and modifications of RNA. The long-term goal of our research is to elucidate alternative isoform complexity in mammalian transcriptomes and proteomes, and to understand how it is generated and its role in the function and evolution of complex genomes. The central objectives are to:
(1) decipher the signals that regulate alternative isoform variation;
(2) understand how these signals are altered by genomic variants or environmental perturbations in evolution and disease;
(3) elucidate the functions of regulated and aberrant mRNA and protein isoforms;
(4) discover alternative isoforms that can serve as biomarkers or therapeutic targets of human diseases.
The overarching theme of our research is to integrate genomics, big data, and computing to discover novel biological insights and understand human diseases. We combine genomics and data-driven discovery research with hypothesis-driven research in experimental and clinical settings.