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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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Detalles Bibliográficos
Autores principales: Dong, Jiyang, Peng, Qianwen, Deng, Lingli, Zhao, Chao, Cai, Zongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025265/
https://www.ncbi.nlm.nih.gov/pubmed/36920911
http://dx.doi.org/10.1016/j.xpro.2023.102159
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author Dong, Jiyang
Peng, Qianwen
Deng, Lingli
Zhao, Chao
Cai, Zongwei
author_facet Dong, Jiyang
Peng, Qianwen
Deng, Lingli
Zhao, Chao
Cai, Zongwei
author_sort Dong, Jiyang
collection PubMed
description 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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spelling pubmed-100252652023-03-21 Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net Dong, Jiyang Peng, Qianwen Deng, Lingli Zhao, Chao Cai, Zongwei STAR Protoc Protocol 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) Elsevier 2023-03-13 /pmc/articles/PMC10025265/ /pubmed/36920911 http://dx.doi.org/10.1016/j.xpro.2023.102159 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Dong, Jiyang
Peng, Qianwen
Deng, Lingli
Zhao, Chao
Cai, Zongwei
Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net
title Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net
title_full Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net
title_fullStr Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net
title_full_unstemmed Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net
title_short Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net
title_sort protocol for metabolic synergy analysis of multi-organs in mice using ims2net
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025265/
https://www.ncbi.nlm.nih.gov/pubmed/36920911
http://dx.doi.org/10.1016/j.xpro.2023.102159
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