The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power
We report the development of a 3D OrbiSIMS instrument for label-free biomedical imaging. It combines the high spatial resolution of secondary ion mass spectrometry (SIMS; under 200 nm for inorganic species and under 2 μm for biomolecules) with the high mass-resolving power of an Orbitrap (>240,00...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
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Nature Publishing Group
2017
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| Online Access: | https://eprints.nottingham.ac.uk/48339/ |
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| author | Passarelli, Melissa K. Pirkl, Alexander Moellers, Rudolf Grinfeld, Dmitry Kollmer, Felix Havelund, Rasmus Newman, Carla F. Marshall, Peter S. Arlinghaus, Henrik Alexander, Morgan R. West, Andy Horning, Stevan Niehuis, Ewald Makarov, Alexander Dollery, Colin T. Gilmore, Ian S. |
| author_facet | Passarelli, Melissa K. Pirkl, Alexander Moellers, Rudolf Grinfeld, Dmitry Kollmer, Felix Havelund, Rasmus Newman, Carla F. Marshall, Peter S. Arlinghaus, Henrik Alexander, Morgan R. West, Andy Horning, Stevan Niehuis, Ewald Makarov, Alexander Dollery, Colin T. Gilmore, Ian S. |
| author_sort | Passarelli, Melissa K. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We report the development of a 3D OrbiSIMS instrument for label-free biomedical imaging. It combines the high spatial resolution of secondary ion mass spectrometry (SIMS; under 200 nm for inorganic species and under 2 μm for biomolecules) with the high mass-resolving power of an Orbitrap (>240,000 at m/z 200). This allows exogenous and endogenous metabolites to be visualized in 3D with subcellular resolution. We imaged the distribution of neurotransmitters—gamma-aminobutyric acid, dopamine and serotonin—with high spectroscopic confidence in the mouse hippocampus. We also putatively annotated and mapped the subcellular localization of 29 sulfoglycosphingolipids and 45 glycerophospholipids, and we confirmed lipid identities with tandem mass spectrometry. We demonstrated single-cell metabolomic profiling using rat alveolar macrophage cells incubated with different concentrations of the drug amiodarone, and we observed that the upregulation of phospholipid species and cholesterol is correlated with the accumulation of amiodarone. |
| first_indexed | 2025-11-14T20:08:43Z |
| format | Article |
| id | nottingham-48339 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:08:43Z |
| publishDate | 2017 |
| publisher | Nature Publishing Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-483392020-05-04T19:17:36Z https://eprints.nottingham.ac.uk/48339/ The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power Passarelli, Melissa K. Pirkl, Alexander Moellers, Rudolf Grinfeld, Dmitry Kollmer, Felix Havelund, Rasmus Newman, Carla F. Marshall, Peter S. Arlinghaus, Henrik Alexander, Morgan R. West, Andy Horning, Stevan Niehuis, Ewald Makarov, Alexander Dollery, Colin T. Gilmore, Ian S. We report the development of a 3D OrbiSIMS instrument for label-free biomedical imaging. It combines the high spatial resolution of secondary ion mass spectrometry (SIMS; under 200 nm for inorganic species and under 2 μm for biomolecules) with the high mass-resolving power of an Orbitrap (>240,000 at m/z 200). This allows exogenous and endogenous metabolites to be visualized in 3D with subcellular resolution. We imaged the distribution of neurotransmitters—gamma-aminobutyric acid, dopamine and serotonin—with high spectroscopic confidence in the mouse hippocampus. We also putatively annotated and mapped the subcellular localization of 29 sulfoglycosphingolipids and 45 glycerophospholipids, and we confirmed lipid identities with tandem mass spectrometry. We demonstrated single-cell metabolomic profiling using rat alveolar macrophage cells incubated with different concentrations of the drug amiodarone, and we observed that the upregulation of phospholipid species and cholesterol is correlated with the accumulation of amiodarone. Nature Publishing Group 2017-11-13 Article PeerReviewed Passarelli, Melissa K., Pirkl, Alexander, Moellers, Rudolf, Grinfeld, Dmitry, Kollmer, Felix, Havelund, Rasmus, Newman, Carla F., Marshall, Peter S., Arlinghaus, Henrik, Alexander, Morgan R., West, Andy, Horning, Stevan, Niehuis, Ewald, Makarov, Alexander, Dollery, Colin T. and Gilmore, Ian S. (2017) The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power. Nature Methods . ISSN 1548-7091 Drug discovery Imaging Mass spectrometry Metabolomics https://www.nature.com/articles/nmeth.4504 doi:10.1038/NMETH.4504 doi:10.1038/NMETH.4504 |
| spellingShingle | Drug discovery Imaging Mass spectrometry Metabolomics Passarelli, Melissa K. Pirkl, Alexander Moellers, Rudolf Grinfeld, Dmitry Kollmer, Felix Havelund, Rasmus Newman, Carla F. Marshall, Peter S. Arlinghaus, Henrik Alexander, Morgan R. West, Andy Horning, Stevan Niehuis, Ewald Makarov, Alexander Dollery, Colin T. Gilmore, Ian S. The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power |
| title | The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power |
| title_full | The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power |
| title_fullStr | The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power |
| title_full_unstemmed | The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power |
| title_short | The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power |
| title_sort | 3d orbisims—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power |
| topic | Drug discovery Imaging Mass spectrometry Metabolomics |
| url | https://eprints.nottingham.ac.uk/48339/ https://eprints.nottingham.ac.uk/48339/ https://eprints.nottingham.ac.uk/48339/ |