Research interest

We are developing a unified platform to analyze diverse proteins using protein tagging technology. Traditional approaches require specific antibodies or analytical tools for each protein, creating a significant bottleneck in protein studies. Our system overcomes these limitations, enabling high-throughput analysis of multiple proteins simultaneously. This efficient platform allows us to rapidly characterize protein properties on a large scale.

Using this technology, we explore human proteins consisting of approximately 30,000 known protein-coding genes along with unexplored territories such as small ORFs and functional RNAs. Our particular focus is on systematically tagging and analyzing difficult-to-tag proteins to identify new components to discover novel cellular components. 

Our lab is interested in building a large-scale analytical system that can comparable-quantitatively characterize protein properties. This system combines our current tagging system with a recording system that converts physical protein-DNA interactions into nucleotide sequences, enabling large-scale protein characterization.

By cross-analyzing libraries of transcription factors against libraries of disease-related mutants in TF binding sequences, we systematically compare TF-DNA binding affinities. This work will help us understand the regulatory relationships between disease-associated SNPs and transcription factors, offering insights into how genetic variations can lead to disease development.