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A spatial metabolomics strategy that combines systematic surface sampling, LC-MS/MS, coordinate-aware metadata and 2D/3D molecular mapping to reconstruct the distribution of metabolites and environmental chemicals across physical objects.
A transferable natural-product discovery strategy that overlays quantitative bioassay results onto LC-MS feature abundance and MS/MS molecular networks to prioritize molecular families and individual features associated with biological activity.
2024 · Bioactivity-Based Molecular Networking-Guided Isolation of Epicolidines A-C from the Endophytic Fungus Epicoccum sp. 1-042citation ↗
2020 · Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga Fucus vesiculosusImplementation tools: MZmine · GNPS · Cytoscapecitation ↗
A functional-group-resolved metabolomics strategy that uses orthogonal chemoselective probes, covalent capture and diagnostic reporter chemistry to enrich and organize otherwise chemically heterogeneous metabolite subsets before LC-MS.
A miniaturized microbial natural-product strategy that adds MALDI tandem mass spectrometry and GNPS2 molecular networking to IDBac so metabolite families can be preliminarily annotated directly from colonies before fermentation scale-up and extraction.
MS imaging and taxon-specific FISH microscopy from corresponding material.
Validated preparation, imaging order and spatial registration.
Implemented workflow
Alternative searches use the recorded tool function; check inputs, outputs and acquisition compatibility before substituting.
Preserve spatial correspondence
Measure chemistry and microbial identity
Register and compare images
Subsequent published implementations
2023 · Visualization of metabolites and microbes at high spatial resolution using MALDI mass spectrometry imaging and in situ fluorescence labelingcitation ↗
2020 · Spatial metabolomics of in situ host–microbe interactions at the micrometre scalecitation ↗
A method-development strategy that uses mixtures of natural-abundance and uniformly 13C-labeled biological extracts to distinguish genuine biological features from artifacts and benchmark untargeted metabolomics workflows.
A hybrid untargeted acquisition strategy that analyzes individual samples by DIA for broad feature and MS/MS coverage while using pooled quality-control samples by DDA to obtain cleaner fragmentation spectra for annotation.
A strategy that combines aligned LC-MS feature abundances with MS/MS spectral similarity to explore quantitative molecular families while retaining chromatographic feature identity.
A strategy extending feature-based molecular networking with MS1-derived ion relationships, linking candidate ion species of the same molecule alongside MS/MS spectral-similarity edges.
Compatible derivatization chemistry, labeled reference material and LC-MS.
Implemented workflow
Alternative searches use the recorded tool function; check inputs, outputs and acquisition compatibility before substituting.
Label samples and reference
Mix labeled material
Separate and measure isotope pairs
Calculate comparative abundances
Subsequent published implementations
2011 · Qualitative Metabolome Analysis of Human Cerebrospinal Fluid by 13C-/12C-Isotope Dansylation Labeling Combined with Liquid Chromatography Fourier Transform Ion Cyclotron Resonance Mass Spectrometrycitation ↗
A multimodal natural-product strategy that uses spatial localization from mass spectrometry imaging to prioritize metabolites for LC-MS/MS molecular networking and structural interpretation.
A natural-product discovery strategy that correlates metabolite occurrence across a strain collection with biosynthetic gene-cluster or gene-cluster-family occurrence to connect chemistry with its likely genetic origin.
A natural-product dereplication strategy that organizes MS/MS spectra by fragmentation similarity and uses reference spectra, standards, or characterized organisms to recognize known molecules and related analogues before isolation.
Tandem mass spectrum to decision (MS2DECIDE) leverages decision theory and expert knowledge to aggregate the outputs of three widely used annotation tools (GNPS, Sirius, and ISDB-LOTUS) and compute a recommendation for targeting natural products with regard to their potential novelty.
A transferable LC-MS strategy that combines post-column pH adjustment and metal infusion with ion identity molecular networking to discover small molecules that bind metals in complex biological samples.
A structural-lipidomics strategy that uses ozone-induced dissociation to generate diagnostic fragments for carbon–carbon double-bond positions that conventional CID-based lipidomics often cannot resolve.
Model spatial relationships between microscopy features and measured ion intensities, then use validated relationships to predict molecular distributions at finer spatial resolution or in unmeasured tissue regions.
2025 · ROASMI: accelerating small molecule identification by repurposing retention dataImplementation tools: ROASMIcitation ↗
2022 · Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry dataImplementation tools: LC-MS2Structcitation ↗
A discovery strategy that starts from a candidate chemical structure or reference MS/MS spectrum, searches public metabolomics repositories for matching spectra, and uses sample metadata to reveal biological or phenotypic associations.
2017 · Unsupervised Discovery and Comparison of Structural Families Across Multiple Samples in Untargeted MetabolomicsImplementation tools: MS2LDAcitation ↗
A single-cell metabolomics strategy that registers microscopy-derived cell boundaries and morphologic information with MALDI imaging mass spectrometry so spatial ion signals can be assigned to individual cells.
A biosynthetic discovery strategy that combines stable-isotope precursor feeding with LC-MS/MS molecular networking to identify structurally related metabolites that incorporate a defined biosynthetic building block.
An exposomics strategy that interrogates untargeted UHPLC-HRMS/MS data with curated lists of plausible xenobiotics and metabolites, then applies chromatographic, spectral, and error-control evidence to prioritize candidate exposures.
A metabolite-annotation strategy that reranks candidate natural-product structures by combining spectral or in-silico annotation evidence with the taxonomic distance between the study organism and known producers of candidate compounds.
A microbial natural-product discovery strategy that combines MALDI protein fingerprinting with specialized-metabolite overlap to reduce taxonomic and chemical redundancy when constructing or downsizing isolate libraries.
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