Carsten Hopf

This paper introduces PEG-free lipid nanoparticles stabilized with sodium triphosphate for RNA delivery, showing improved early expression and comparable safety in mice.

The paper decodes acute neuroinflammatory states in mouse microglia by analyzing their 3D cellular architecture and links lipid-endosome reorganization to the mTORC1 pathway.

This paper introduces low-temperature thermal evaporation (LTE) for matrix deposition in MALDI-MSI, showing improved image quality, purity, and stability compared to traditional methods.

The paper introduces two sulfatide-centered MR-MSI datasets for benchmarking lipid annotation tools, showing improved confidence in annotations using ultra-high-resolution data.

The paper develops a multimodal imaging workflow to analyze A{beta} plaque microenvironments in AD mice using mass spectrometry, histology, and immunohistochemistry on a benchtop instrument.

This study shows TET3 regulates terminal differentiation by affecting mitochondrial metabolic maturation and oxidative phosphorylation in intestinal epithelial cells.

The paper introduces PRISM-MS, a method for fast single-cell MALDI imaging of low-mass metabolites, and demonstrates its application in analyzing metabolome changes in LPS-stimulated microglial cells.

This study develops a label-free MALDI-TOF mass spectrometry bioassay to assess complement-dependent cytotoxicity of Rituximab, identifying metabolite markers and demonstrating robust concentration-response characteristics.

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

This paper introduces moleculaR, a computational framework for probabilistic mapping and statistical testing of metabolites in mass spectrometry imaging data.

The paper uses iSILK to track Aβ plaque aggregation dynamics in AD mouse models, identifying cortical deposition and structural heterogeneity in plaque composition.

An open-source cloud engine annotates imaging mass spectrometry data at controlled false discovery rate; publicly shared results reached over 3200 datasets and 6 million metabolite images by January 2019.