Yusei Okuda

This paper develops a high-sensitivity and high-throughput LC-MS workflow for low-input and single-cell proteomics, achieving high proteome depth and throughput without specialized equipment.

This study compares serum preprocessing workflows in proteomics to assess their impact on biological readouts in systemic juvenile idiopathic arthritis.

This paper develops an EDTA-enhanced deep proteomic method for DBS samples, achieving over 7,000 protein identifications and enabling high-throughput analysis in mouse disease models.

The paper improves the TomAP-MS workflow for plasma proteomics using LAcE, increasing protein identifications and throughput while simplifying sample preparation.

This paper develops a DIA-MS workflow to identify organ-derived peptides in plasma, finding over 2,000 organ-specific peptides including 19 bioactive ones.