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Towards Mapping Mouse Metabolic Tissue Atlas by Mid‐Infrared Imaging with Heavy Water Labeling
Understanding metabolism is of great significance to decipher various physiological and pathogenic processes. While great progress has been made to profile gene expression, how to capture organ‐, tissue‐, and cell‐type‐specific metabolic profile (i.e., metabolic tissue atlas) in complex mammalian sy...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131428/ https://www.ncbi.nlm.nih.gov/pubmed/35319171 http://dx.doi.org/10.1002/advs.202105437 |
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author | Liu, Xinwen Shi, Lixue Shi, Lingyan Wei, Mian Zhao, Zhilun Min, Wei |
author_facet | Liu, Xinwen Shi, Lixue Shi, Lingyan Wei, Mian Zhao, Zhilun Min, Wei |
author_sort | Liu, Xinwen |
collection | PubMed |
description | Understanding metabolism is of great significance to decipher various physiological and pathogenic processes. While great progress has been made to profile gene expression, how to capture organ‐, tissue‐, and cell‐type‐specific metabolic profile (i.e., metabolic tissue atlas) in complex mammalian systems is lagging behind, largely owing to the lack of metabolic imaging tools with high resolution and high throughput. Here, the authors applied mid‐infrared imaging coupled with heavy water (D(2)O) metabolic labeling to a scope of mouse organs and tissues. The premise is that, as D(2)O participates in the biosynthesis of various macromolecules, the resulting broad C‐D vibrational spectrum should interrogate a wide range of metabolic pathways. Applying multivariate analysis to the C‐D spectrum, the authors successfully identified both inter‐organ and intra‐tissue metabolic signatures of mice. A large‐scale metabolic atlas map between different organs from the same mice is thus generated. Moreover, leveraging the power of unsupervised clustering methods, spatially‐resolved metabolic signatures of brain tissues are discovered, revealing tissue and cell‐type specific metabolic profile in situ. As a demonstration of this technique, the authors captured metabolic changes during brain development and characterized intratumoral metabolic heterogeneity of glioblastoma. Altogether, the integrated platform paves a way to map the metabolic tissue atlas for complex mammalian systems. |
format | Online Article Text |
id | pubmed-9131428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91314282022-05-26 Towards Mapping Mouse Metabolic Tissue Atlas by Mid‐Infrared Imaging with Heavy Water Labeling Liu, Xinwen Shi, Lixue Shi, Lingyan Wei, Mian Zhao, Zhilun Min, Wei Adv Sci (Weinh) Research Articles Understanding metabolism is of great significance to decipher various physiological and pathogenic processes. While great progress has been made to profile gene expression, how to capture organ‐, tissue‐, and cell‐type‐specific metabolic profile (i.e., metabolic tissue atlas) in complex mammalian systems is lagging behind, largely owing to the lack of metabolic imaging tools with high resolution and high throughput. Here, the authors applied mid‐infrared imaging coupled with heavy water (D(2)O) metabolic labeling to a scope of mouse organs and tissues. The premise is that, as D(2)O participates in the biosynthesis of various macromolecules, the resulting broad C‐D vibrational spectrum should interrogate a wide range of metabolic pathways. Applying multivariate analysis to the C‐D spectrum, the authors successfully identified both inter‐organ and intra‐tissue metabolic signatures of mice. A large‐scale metabolic atlas map between different organs from the same mice is thus generated. Moreover, leveraging the power of unsupervised clustering methods, spatially‐resolved metabolic signatures of brain tissues are discovered, revealing tissue and cell‐type specific metabolic profile in situ. As a demonstration of this technique, the authors captured metabolic changes during brain development and characterized intratumoral metabolic heterogeneity of glioblastoma. Altogether, the integrated platform paves a way to map the metabolic tissue atlas for complex mammalian systems. John Wiley and Sons Inc. 2022-03-23 /pmc/articles/PMC9131428/ /pubmed/35319171 http://dx.doi.org/10.1002/advs.202105437 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Liu, Xinwen Shi, Lixue Shi, Lingyan Wei, Mian Zhao, Zhilun Min, Wei Towards Mapping Mouse Metabolic Tissue Atlas by Mid‐Infrared Imaging with Heavy Water Labeling |
title | Towards Mapping Mouse Metabolic Tissue Atlas by Mid‐Infrared Imaging with Heavy Water Labeling |
title_full | Towards Mapping Mouse Metabolic Tissue Atlas by Mid‐Infrared Imaging with Heavy Water Labeling |
title_fullStr | Towards Mapping Mouse Metabolic Tissue Atlas by Mid‐Infrared Imaging with Heavy Water Labeling |
title_full_unstemmed | Towards Mapping Mouse Metabolic Tissue Atlas by Mid‐Infrared Imaging with Heavy Water Labeling |
title_short | Towards Mapping Mouse Metabolic Tissue Atlas by Mid‐Infrared Imaging with Heavy Water Labeling |
title_sort | towards mapping mouse metabolic tissue atlas by mid‐infrared imaging with heavy water labeling |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131428/ https://www.ncbi.nlm.nih.gov/pubmed/35319171 http://dx.doi.org/10.1002/advs.202105437 |
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