Mikiko Takahashi

A dual-dimensional deconvolution environment for ZT Scan DIA in metabolomics

The paper introduces ZT Scan DIA, a metabolomics method improving annotation rates and isomer quantification in complex mixtures, with results validated in human plasma and mouse liver tissues.

Data-independent acquisition coupled with electron-activated dissociation for in-depth structure elucidation of fatty acid ester of hydroxy fatty acids

This study develops a LC-SWATH-EAD-MS/MS method to deeply characterize FAHFAs in mouse fecal samples, identifying multiple structural variants and age-related changes.

MS-DIAL 5 multimodal mass spectrometry data mining unveils lipidome complexities

The paper introduces MS-DIAL 5, a tool for analyzing multimodal mass spectrometry data to elucidate lipid structures and localization using structural annotations.

Using data-dependent and independent hybrid acquisitions for fast liquid chromatography-based untargeted lipidomics

The paper proposes a hybrid LC-MS/MS approach combining data-dependent and data-independent acquisitions to improve lipid annotation in fast untargeted lipidomics.

MS-DIAL 4: accelerating lipidomics using an MS/MS, CCS, and retention time atlas

MS-DIAL 4 provides a comprehensive lipidome atlas with retention time, collision cross section, and MS/MS data to standardize and accelerate lipidomics research.