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Incorporating genome-scale tools for studying energy homeostasis

Mammals have evolved complex regulatory systems that enable them to maintain energy homeostasis despite constant environmental challenges that limit the availability of energy inputs and their composition. Biological control relies upon intricate systems composed of multiple organs and specialized c...

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Detalles Bibliográficos
Autor principal: Raab, R Michael
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636640/
https://www.ncbi.nlm.nih.gov/pubmed/17081308
http://dx.doi.org/10.1186/1743-7075-3-40
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author Raab, R Michael
author_facet Raab, R Michael
author_sort Raab, R Michael
collection PubMed
description Mammals have evolved complex regulatory systems that enable them to maintain energy homeostasis despite constant environmental challenges that limit the availability of energy inputs and their composition. Biological control relies upon intricate systems composed of multiple organs and specialized cell types that regulate energy up-take, storage, and expenditure. Because these systems simultaneously perform diverse functions and are highly integrated, they are extremely difficult to understand in terms of their individual component contributions to energy homeostasis. In order to provide improved treatments and clinical options, it is important to identify the principle genetic and molecular components, as well as the systemic features of regulation. To begin, many of these features can be discovered by integrating experimental technologies with advanced methods of analysis. This review focuses on the analysis of transcriptional data derived from microarrays and how it can complement other experimental techniques to study energy homeostasis.
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spelling pubmed-16366402006-11-18 Incorporating genome-scale tools for studying energy homeostasis Raab, R Michael Nutr Metab (Lond) Review Mammals have evolved complex regulatory systems that enable them to maintain energy homeostasis despite constant environmental challenges that limit the availability of energy inputs and their composition. Biological control relies upon intricate systems composed of multiple organs and specialized cell types that regulate energy up-take, storage, and expenditure. Because these systems simultaneously perform diverse functions and are highly integrated, they are extremely difficult to understand in terms of their individual component contributions to energy homeostasis. In order to provide improved treatments and clinical options, it is important to identify the principle genetic and molecular components, as well as the systemic features of regulation. To begin, many of these features can be discovered by integrating experimental technologies with advanced methods of analysis. This review focuses on the analysis of transcriptional data derived from microarrays and how it can complement other experimental techniques to study energy homeostasis. BioMed Central 2006-11-03 /pmc/articles/PMC1636640/ /pubmed/17081308 http://dx.doi.org/10.1186/1743-7075-3-40 Text en Copyright © 2006 Raab; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Raab, R Michael
Incorporating genome-scale tools for studying energy homeostasis
title Incorporating genome-scale tools for studying energy homeostasis
title_full Incorporating genome-scale tools for studying energy homeostasis
title_fullStr Incorporating genome-scale tools for studying energy homeostasis
title_full_unstemmed Incorporating genome-scale tools for studying energy homeostasis
title_short Incorporating genome-scale tools for studying energy homeostasis
title_sort incorporating genome-scale tools for studying energy homeostasis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636640/
https://www.ncbi.nlm.nih.gov/pubmed/17081308
http://dx.doi.org/10.1186/1743-7075-3-40
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