Ryo Konno

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.

This paper develops a dried blood spot proteomics method to diagnose citrin deficiency by quantifying SLC25A13 and identifying a 15-protein signature with high accuracy.

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.

The paper develops Thin-diaPASEF, an optimized diaPASEF method for single-shot proteomics, achieving high protein identification and coverage in HEK cells and multi-sample analyses.

This paper develops a pipeline for non-targeted proteomic analysis of dried blood spots using low-cost iron powders, achieving high throughput and protein identification.

The paper introduces HaloMS, a high-throughput method for mapping protein interactions in adipocytes, identifying new transcription factor complexes and networks.