Chien‐Yun Lee

This study uses pan-cancer phosphoproteomics to identify therapeutic targets and improve precision oncology by analyzing 1,998 tumor samples and developing new scores for kinase activity and immune response.

This paper develops monoclonal antibodies specific for citrullination, showing high sensitivity and minimal cross-reactivity with homocitrullination.

The paper develops a chemical proteomics workflow to profile protein citrullination dynamics, achieving high sensitivity and throughput in detecting citrullinated peptides across biological systems.

The paper maps isozyme-specific substrate recognition of PAD1-4 by identifying citrullination sites across the proteome, revealing distinct sequence preferences and key residues determining substrate specificity.

The paper develops a method to identify and validate kinase-substrate relationships using phosphoproteomics data and applies it to estimate kinase activity in cancer biopsies.

The paper introduces a deep learning model to improve citrullination site identification in proteomes, achieving high precision and sensitivity in human and plant tissues.