Junki Miyamoto

This study identifies maternal progesterone signaling through mPRδ as critical for establishing lifelong oral homeostasis via a hormone-lipid-microbiome axis.

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.

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.

This study shows that maternal progesterone and adipose mPRε regulate the embryonic nutritional state by affecting glucose provision and metabolic outcomes in offspring.

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

The paper introduces a solid-phase extraction method using metal oxide-coated silica columns to fractionate lipids into neutral, phospholipids, and other lipid classes for 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.