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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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) |
format | Online Article Text |
id | pubmed-10025265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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