Hiroshi Tsugawa

MassBank Human: The annotated human metabolome

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: a pathway-centered lipidome analysis environment linking lipid class, acyl-chain subsets, and multi-omics data

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

OAC-PCA: orthogonal adjustment of confounding effects in principal component analysis for metabolomics data mining

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

Elucidation of the anti-inflammatory mechanism of isoliquiritigenin from Glycyrrhiza uralensis using activity-based protein profiling

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

Stable isotope-assisted computational mass spectrometry reveals root-specific alkaloids in Glycyrrhiza species

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

Ether lipid remodeling during neuronal differentiation prevents ferroptosis

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

Integrated omics analysis reveals reorganization of nitrogen and lipid metabolism in a toluene-degrading bacterium in the gas phase

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

Sodium ion-assisted structural lipidomics for sphingolipid profiling

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

Unraveling anti-inflammatory metabolic signatures of Glycyrrhiza uralensis and isoliquiritigenin through multiomics

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.

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.

Formation of giant ER sheets by pentadecanoic acid causes lipotoxicity in fission yeast

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

Dual fragmentation via collision-induced and oxygen attachment dissociations using water and its radicals for C=C position-resolved lipidomics

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.

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.

MS2Lipid: a lipid subclass prediction program using machine learning and curated tandem mass spectral data

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

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.

A Universal Language for Finding Mass Spectrometry Data Patterns

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.

Ion Identity Molecular Networking in the GNPS Environment

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

Feature-based Molecular Networking in the GNPS Analysis Environment

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: A feature-filtering approach to improve annotation rate in untargeted LC-MS based metabolomics

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: 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.