Spatial mapping of the brain metabolome lipidome and glycome
Abstract Metabolites, lipids, and glycans are fundamental but interconnected classes of biomolecules that form the basis of the metabolic network. These molecules are dynamically channeled through multiple pathways that govern cellular physiology and pathology. Here, we present a framework for the s...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-59487-7 |
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| author | Harrison A. Clarke Xin Ma Cameron J. Shedlock Terrymar Medina Tara R. Hawkinson Lei Wu Roberto A. Ribas Shannon Keohane Sakthivel Ravi Jennifer L. Bizon Sara N. Burke Jose Francisco Abisambra Matthew E. Merritt Boone M. Prentice Craig W. Vander Kooi Matthew S. Gentry Li Chen Ramon C. Sun |
| author_facet | Harrison A. Clarke Xin Ma Cameron J. Shedlock Terrymar Medina Tara R. Hawkinson Lei Wu Roberto A. Ribas Shannon Keohane Sakthivel Ravi Jennifer L. Bizon Sara N. Burke Jose Francisco Abisambra Matthew E. Merritt Boone M. Prentice Craig W. Vander Kooi Matthew S. Gentry Li Chen Ramon C. Sun |
| author_sort | Harrison A. Clarke |
| collection | DOAJ |
| description | Abstract Metabolites, lipids, and glycans are fundamental but interconnected classes of biomolecules that form the basis of the metabolic network. These molecules are dynamically channeled through multiple pathways that govern cellular physiology and pathology. Here, we present a framework for the simultaneous spatial analysis of the metabolome, lipidome, and glycome from a single tissue section using mass spectrometry imaging. This workflow integrates a computational platform, the Spatial Augmented Multiomics Interface (Sami), which enables multiomics integration, high-dimensional clustering, spatial anatomical mapping of matched molecular features, and metabolic pathway enrichment. To demonstrate the utility of this approach, we applied Sami to evaluate metabolic diversity across distinct brain regions and to compare wild-type and Ps19 Alzheimer’s disease (AD) mouse models. Our findings reveal region-specific metabolic demands in the normal brain and highlight metabolic dysregulation in the Ps19 model, providing insights into the biochemical alterations associated with neurodegeneration. |
| format | Article |
| id | doaj-art-247ee4ce6ccb4c8aac71887337acebe5 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-247ee4ce6ccb4c8aac71887337acebe52025-08-20T03:48:06ZengNature PortfolioNature Communications2041-17232025-05-0116111310.1038/s41467-025-59487-7Spatial mapping of the brain metabolome lipidome and glycomeHarrison A. Clarke0Xin Ma1Cameron J. Shedlock2Terrymar Medina3Tara R. Hawkinson4Lei Wu5Roberto A. Ribas6Shannon Keohane7Sakthivel Ravi8Jennifer L. Bizon9Sara N. Burke10Jose Francisco Abisambra11Matthew E. Merritt12Boone M. Prentice13Craig W. Vander Kooi14Matthew S. Gentry15Li Chen16Ramon C. Sun17Department of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Neuroscience, University of FloridaDepartment of Neuroscience, University of FloridaDepartment of Neuroscience, University of FloridaDepartment of Neuroscience, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Chemistry, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaDepartment of Biostatistics College of Public Health and Health Professions & College of Medicine, University of FloridaDepartment of Biochemistry & Molecular Biology, College of Medicine, University of FloridaAbstract Metabolites, lipids, and glycans are fundamental but interconnected classes of biomolecules that form the basis of the metabolic network. These molecules are dynamically channeled through multiple pathways that govern cellular physiology and pathology. Here, we present a framework for the simultaneous spatial analysis of the metabolome, lipidome, and glycome from a single tissue section using mass spectrometry imaging. This workflow integrates a computational platform, the Spatial Augmented Multiomics Interface (Sami), which enables multiomics integration, high-dimensional clustering, spatial anatomical mapping of matched molecular features, and metabolic pathway enrichment. To demonstrate the utility of this approach, we applied Sami to evaluate metabolic diversity across distinct brain regions and to compare wild-type and Ps19 Alzheimer’s disease (AD) mouse models. Our findings reveal region-specific metabolic demands in the normal brain and highlight metabolic dysregulation in the Ps19 model, providing insights into the biochemical alterations associated with neurodegeneration.https://doi.org/10.1038/s41467-025-59487-7 |
| spellingShingle | Harrison A. Clarke Xin Ma Cameron J. Shedlock Terrymar Medina Tara R. Hawkinson Lei Wu Roberto A. Ribas Shannon Keohane Sakthivel Ravi Jennifer L. Bizon Sara N. Burke Jose Francisco Abisambra Matthew E. Merritt Boone M. Prentice Craig W. Vander Kooi Matthew S. Gentry Li Chen Ramon C. Sun Spatial mapping of the brain metabolome lipidome and glycome Nature Communications |
| title | Spatial mapping of the brain metabolome lipidome and glycome |
| title_full | Spatial mapping of the brain metabolome lipidome and glycome |
| title_fullStr | Spatial mapping of the brain metabolome lipidome and glycome |
| title_full_unstemmed | Spatial mapping of the brain metabolome lipidome and glycome |
| title_short | Spatial mapping of the brain metabolome lipidome and glycome |
| title_sort | spatial mapping of the brain metabolome lipidome and glycome |
| url | https://doi.org/10.1038/s41467-025-59487-7 |
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