Daisuke Nakajima

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 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.

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 develops a low-input proteomics method called LASP to improve peptide recovery and reduce MS contamination, achieving 1,175 proteins identified per single cell.