Spatially resolved 3D metabolomic profiling in tissues
| Autor: | Thomas Hu, Walter Henderson, Mayar Allam, Eric Woods, Shambavi Ganesh, Ahmet F. Coskun, Shuangyi Cai |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Cell
Spectrometry Mass Secondary Ion 02 engineering and technology Computational biology Lymphatic tissues 03 medical and health sciences Immune system Engineering medicine Cluster Analysis Humans Metabolomics Research Articles 030304 developmental biology 0303 health sciences Multidisciplinary biology Chemistry Spatially resolved RNA SciAdv r-articles Life Sciences 021001 nanoscience & nanotechnology medicine.anatomical_structure Metabolomic profiling Applied Sciences and Engineering Tonsil biology.protein Metabolome Antibody 0210 nano-technology Research Article |
| Zdroj: | Science Advances |
| ISSN: | 2375-2548 |
| Popis: | Spatially resolved metabolic profiling and isotope-tagged protein analysis revealed unique lipid distributions in tissues. Spatially resolved RNA and protein molecular analyses have revealed unexpected heterogeneity of cells. Metabolic analysis of individual cells complements these single-cell studies. Here, we present a three-dimensional spatially resolved metabolomic profiling framework (3D-SMF) to map out the spatial organization of metabolic fragments and protein signatures in immune cells of human tonsils. In this method, 3D metabolic profiles were acquired by time-of-flight secondary ion mass spectrometry to profile up to 189 compounds. Ion beams were used to measure sub–5-nanometer layers of tissue across 150 sections of a tonsil. To incorporate cell specificity, tonsil tissues were labeled by an isotope-tagged antibody library. To explore relations of metabolic and cellular features, we carried out data reduction, 3D spatial correlations and classifications, unsupervised K-means clustering, and network analyses. Immune cells exhibited spatially distinct lipidomic fragment distributions in lymphatic tissue. The 3D-SMF pipeline affects studying the immune cells in health and disease. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|