Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net
Biomolecule regulation and communication between cells and organs show specific network and regional features and play an important role in disease progression. Here, we describe steps for in situ detection of biomolecules with detailed spatial distribution using imaging mass spectrometry (iMS). Usi...
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Veröffentlicht in: | STAR protocols 2023-06, Vol.4 (2), p.102159-102159, Article 102159 |
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Sprache: | eng |
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Zusammenfassung: | Biomolecule regulation and communication between cells and organs show specific network and regional features and play an important role in disease progression. Here, we describe steps for in situ detection of biomolecules with detailed spatial distribution using imaging mass spectrometry (iMS). Using the information on inter-cells and inter-organs metabolic interactions provided by iMS, we detail the establishment of an iMS-dataset-sourced multiscale network strategy and present steps for exploring metabolic responses in environmental-exposure-induced disease model.
For complete details on the use and execution of this protocol, please refer to Dong et al. (2022).1
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•IMS2Net, a multiscale networking procedure to decipher iMS-spatial omics data•Exploring metabolic disturbances from both abundances and correlation of metabolites•Elaboration of variation and covariation within/between organs•Understanding metabolic responses of organisms at cell and organ resolutions
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Biomolecule regulation and communication between cells and organs show specific network and regional features and play an important role in disease progression. Here, we describe steps for in situ detection of biomolecules with detailed spatial distribution using imaging mass spectrometry (iMS). Using the information on inter-cells and inter-organs metabolic interactions provided by iMS, we detail the establishment of an iMS-dataset-sourced multiscale network strategy and present steps for exploring metabolic responses in environmental-exposure-induced disease model. |
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ISSN: | 2666-1667 2666-1667 |
DOI: | 10.1016/j.xpro.2023.102159 |