Måns Ekelöf

HT SpaceM is a high-throughput single-cell metabolomics method that detects small molecules with high reproducibility and identifies cell-type markers and metabolic pathways in diverse cell lines.

The paper introduces ms1-id, a tool for structural annotation of MS1 data in LC-MS and MS imaging, enabling level 2/3 annotation and uncovering previously overlooked metabolites.

This study shows that fly populations rapidly adapt to increased bicoid dosage by normalizing gene expression and improving survival through metabolic and developmental changes.

The paper evaluates spatial metabolomics protocols and technologies, showing extensive metabolite coverage and comparable results across imaging MS methods.

The paper evaluates pixel-cell deconvolution methods in spatial single-cell metabolomics using fluorescein as ground truth, showing that weighted average outperforms linear inverse modeling and demonstrating the impact of ion suppression.

This study shows that H3K4me1 hypomethylation in Drosophila leads to context-dependent changes in morphology, metabolism, and behavior, suggesting it acts as a phenotypic capacitor.