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Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters
Metabolism comprises of two axes in order to serve homeostasis: anabolism and catabolism. Both axes are interbranched with the so-called bioenergetics aspect of metabolism. There is a plethora of analytical biochemical methods to monitor metabolites and reactions in lysates, yet there is a rising ne...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804523/ https://www.ncbi.nlm.nih.gov/pubmed/35118062 http://dx.doi.org/10.3389/fcell.2021.725114 |
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author | Chandris, Panagiotis Giannouli, Christina C. Panayotou, George |
author_facet | Chandris, Panagiotis Giannouli, Christina C. Panayotou, George |
author_sort | Chandris, Panagiotis |
collection | PubMed |
description | Metabolism comprises of two axes in order to serve homeostasis: anabolism and catabolism. Both axes are interbranched with the so-called bioenergetics aspect of metabolism. There is a plethora of analytical biochemical methods to monitor metabolites and reactions in lysates, yet there is a rising need to monitor, quantify and elucidate in real time the spatiotemporal orchestration of complex biochemical reactions in living systems and furthermore to analyze the metabolic effect of chemical compounds that are destined for the clinic. The ongoing technological burst in the field of imaging creates opportunities to establish new tools that will allow investigators to monitor dynamics of biochemical reactions and kinetics of metabolites at a resolution that ranges from subcellular organelle to whole system for some key metabolites. This article provides a mini review of available toolkits to achieve this goal but also presents a perspective on the open space that can be exploited to develop novel methodologies that will merge classic biochemistry of metabolism with advanced imaging. In other words, a perspective of “watching metabolism in real time.” |
format | Online Article Text |
id | pubmed-8804523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88045232022-02-02 Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters Chandris, Panagiotis Giannouli, Christina C. Panayotou, George Front Cell Dev Biol Cell and Developmental Biology Metabolism comprises of two axes in order to serve homeostasis: anabolism and catabolism. Both axes are interbranched with the so-called bioenergetics aspect of metabolism. There is a plethora of analytical biochemical methods to monitor metabolites and reactions in lysates, yet there is a rising need to monitor, quantify and elucidate in real time the spatiotemporal orchestration of complex biochemical reactions in living systems and furthermore to analyze the metabolic effect of chemical compounds that are destined for the clinic. The ongoing technological burst in the field of imaging creates opportunities to establish new tools that will allow investigators to monitor dynamics of biochemical reactions and kinetics of metabolites at a resolution that ranges from subcellular organelle to whole system for some key metabolites. This article provides a mini review of available toolkits to achieve this goal but also presents a perspective on the open space that can be exploited to develop novel methodologies that will merge classic biochemistry of metabolism with advanced imaging. In other words, a perspective of “watching metabolism in real time.” Frontiers Media S.A. 2022-01-18 /pmc/articles/PMC8804523/ /pubmed/35118062 http://dx.doi.org/10.3389/fcell.2021.725114 Text en Copyright © 2022 Chandris, Giannouli and Panayotou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Chandris, Panagiotis Giannouli, Christina C. Panayotou, George Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters |
title | Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters |
title_full | Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters |
title_fullStr | Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters |
title_full_unstemmed | Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters |
title_short | Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters |
title_sort | imaging approaches for the study of metabolism in real time using genetically encoded reporters |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804523/ https://www.ncbi.nlm.nih.gov/pubmed/35118062 http://dx.doi.org/10.3389/fcell.2021.725114 |
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