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Parallelized, real-time, metabolic-rate measurements from individual Drosophila
Significant recent evidence suggests that metabolism is intricately linked to the regulation and dysfunction of complex cellular and physiological responses ranging from altered metabolic programs in cancers and aging to circadian rhythms and molecular clocks. While the metabolic pathways and their...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160429/ https://www.ncbi.nlm.nih.gov/pubmed/30262912 http://dx.doi.org/10.1038/s41598-018-32744-0 |
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author | Fiorino, Anthony Thompson, Dakotah Yadlapalli, Swathi Jiang, Chang Shafer, Orie. T. Reddy, Pramod Meyhofer, Edgar |
author_facet | Fiorino, Anthony Thompson, Dakotah Yadlapalli, Swathi Jiang, Chang Shafer, Orie. T. Reddy, Pramod Meyhofer, Edgar |
author_sort | Fiorino, Anthony |
collection | PubMed |
description | Significant recent evidence suggests that metabolism is intricately linked to the regulation and dysfunction of complex cellular and physiological responses ranging from altered metabolic programs in cancers and aging to circadian rhythms and molecular clocks. While the metabolic pathways and their fundamental control mechanisms are well established, the precise cellular mechanisms underpinning, for example, enzymatic pathway control, substrate preferences or metabolic rates, remain far less certain. Comprehensive, continuous metabolic studies on model organisms, such as the fruit fly Drosophila melanogaster, may provide a critical tool for deciphering these complex physiological responses. Here, we describe the development of a high-resolution calorimeter, which combines sensitive thermometry with optical imaging to concurrently perform measurements of the metabolic rate of ten individual flies, in real-time, with ~100 nW resolution. Using this calorimeter we have measured the mass-specific metabolic rates of flies of different genotypes, ages, and flies fed with different diets. This powerful new approach enables systematic studies of the metabolic regulation related to cellular and physiological function and disease mechanisms. |
format | Online Article Text |
id | pubmed-6160429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61604292018-09-28 Parallelized, real-time, metabolic-rate measurements from individual Drosophila Fiorino, Anthony Thompson, Dakotah Yadlapalli, Swathi Jiang, Chang Shafer, Orie. T. Reddy, Pramod Meyhofer, Edgar Sci Rep Article Significant recent evidence suggests that metabolism is intricately linked to the regulation and dysfunction of complex cellular and physiological responses ranging from altered metabolic programs in cancers and aging to circadian rhythms and molecular clocks. While the metabolic pathways and their fundamental control mechanisms are well established, the precise cellular mechanisms underpinning, for example, enzymatic pathway control, substrate preferences or metabolic rates, remain far less certain. Comprehensive, continuous metabolic studies on model organisms, such as the fruit fly Drosophila melanogaster, may provide a critical tool for deciphering these complex physiological responses. Here, we describe the development of a high-resolution calorimeter, which combines sensitive thermometry with optical imaging to concurrently perform measurements of the metabolic rate of ten individual flies, in real-time, with ~100 nW resolution. Using this calorimeter we have measured the mass-specific metabolic rates of flies of different genotypes, ages, and flies fed with different diets. This powerful new approach enables systematic studies of the metabolic regulation related to cellular and physiological function and disease mechanisms. Nature Publishing Group UK 2018-09-27 /pmc/articles/PMC6160429/ /pubmed/30262912 http://dx.doi.org/10.1038/s41598-018-32744-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Fiorino, Anthony Thompson, Dakotah Yadlapalli, Swathi Jiang, Chang Shafer, Orie. T. Reddy, Pramod Meyhofer, Edgar Parallelized, real-time, metabolic-rate measurements from individual Drosophila |
title | Parallelized, real-time, metabolic-rate measurements from individual Drosophila |
title_full | Parallelized, real-time, metabolic-rate measurements from individual Drosophila |
title_fullStr | Parallelized, real-time, metabolic-rate measurements from individual Drosophila |
title_full_unstemmed | Parallelized, real-time, metabolic-rate measurements from individual Drosophila |
title_short | Parallelized, real-time, metabolic-rate measurements from individual Drosophila |
title_sort | parallelized, real-time, metabolic-rate measurements from individual drosophila |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160429/ https://www.ncbi.nlm.nih.gov/pubmed/30262912 http://dx.doi.org/10.1038/s41598-018-32744-0 |
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