Hiroshi Tsugawa

The paper develops MassBank Human, a curated metabolomics resource that improves structural annotation of the human metabolome, doubling coverage in colorectal cancer cells and identifying acetylated polyamines as metabolic markers.

MSLipidMapper provides a pathway-centered lipidomics analysis tool that integrates lipid structure, subclass annotations, and multi-omics data for structured exploration.

OAC-PCA improves PCA for metabolomics by ensuring orthogonal components and correlation-based loadings, enabling better statistical analysis of metabolite associations with confounding factors.

This study identifies L-PGDS as a covalent target of isoliquiritigenin, revealing its anti-inflammatory mechanism through suppression of PGD2 production.

The paper uses stable isotope-assisted mass spectrometry to identify root-specific alkaloids in Glycyrrhiza species and proposes their biosynthetic pathway.

This study shows that ether lipid remodeling during neuronal differentiation prevents ferroptosis by balancing pro- and anti-ferroptotic effects through vinyl ether bonds.

The paper investigates metabolic changes in a toluene-degrading bacterium under gas-phase and aqueous conditions, revealing adaptations in nitrogen metabolism and lipid mobilization.

This study develops a sodium ion-assisted structural lipidomics method to improve ceramide annotation by stabilizing ions and enabling structural determination of hydrophobic moieties.

This study uses multiomics to analyze the anti-inflammatory effects of Glycyrrhiza uralensis and isoliquiritigenin in macrophages, identifying metabolic and phosphorylation changes associated with inflammation suppression.

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 shows that pentadecanoic acid causes lipotoxicity in fission yeast by forming giant ER sheets, disrupting cell division.

This study introduces OAciD, a method combining OAD and CID in negative-ion mode for C=C position-resolved lipidomics, applied to marmoset brain regions.

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.

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

MS2Lipid predicts lipid subclasses from MS/MS data using machine learning, achieving high accuracy and outperforming existing tools.

This study evaluates DIA techniques for CE-MS/MS metabolomics, showing vDIA with MS-DIAL improves annotation rates and accuracy, and identifies new metabolites in LPS-treated macrophages.

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

MassQL, an open-source query language, lets users search raw mass spectrometry data from any vendor for isotope, fragmentation and neutral-loss patterns, from one file to entire public repositories.

The paper introduces Ion Identity Molecular Networking to connect ion species of the same molecule, improving network connectivity and annotation.

The paper introduces FBMN, a method for improving molecular networking by enhancing quantitative analysis and isomer distinction using feature detection and alignment tools in the GNPS platform.

MS-CleanR improves metabolite annotation rates in untargeted LC-MS by reducing redundant signals while retaining most unique metabolites, enhancing analysis of plant metabolomes.

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