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Systems Biology-Derived Discoveries of Intrinsic Clocks
A systems approach to studying biology uses a variety of mathematical, computational, and engineering tools to holistically understand and model properties of cells, tissues, and organisms. Building from early biochemical, genetic, and physiological studies, systems biology became established throug...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292584/ https://www.ncbi.nlm.nih.gov/pubmed/28220104 http://dx.doi.org/10.3389/fneur.2017.00025 |
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author | Millius, Arthur Ueda, Hiroki R. |
author_facet | Millius, Arthur Ueda, Hiroki R. |
author_sort | Millius, Arthur |
collection | PubMed |
description | A systems approach to studying biology uses a variety of mathematical, computational, and engineering tools to holistically understand and model properties of cells, tissues, and organisms. Building from early biochemical, genetic, and physiological studies, systems biology became established through the development of genome-wide methods, high-throughput procedures, modern computational processing power, and bioinformatics. Here, we highlight a variety of systems approaches to the study of biological rhythms that occur with a 24-h period—circadian rhythms. We review how systems methods have helped to elucidate complex behaviors of the circadian clock including temperature compensation, rhythmicity, and robustness. Finally, we explain the contribution of systems biology to the transcription–translation feedback loop and posttranslational oscillator models of circadian rhythms and describe new technologies and “–omics” approaches to understand circadian timekeeping and neurophysiology. |
format | Online Article Text |
id | pubmed-5292584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-52925842017-02-20 Systems Biology-Derived Discoveries of Intrinsic Clocks Millius, Arthur Ueda, Hiroki R. Front Neurol Neuroscience A systems approach to studying biology uses a variety of mathematical, computational, and engineering tools to holistically understand and model properties of cells, tissues, and organisms. Building from early biochemical, genetic, and physiological studies, systems biology became established through the development of genome-wide methods, high-throughput procedures, modern computational processing power, and bioinformatics. Here, we highlight a variety of systems approaches to the study of biological rhythms that occur with a 24-h period—circadian rhythms. We review how systems methods have helped to elucidate complex behaviors of the circadian clock including temperature compensation, rhythmicity, and robustness. Finally, we explain the contribution of systems biology to the transcription–translation feedback loop and posttranslational oscillator models of circadian rhythms and describe new technologies and “–omics” approaches to understand circadian timekeeping and neurophysiology. Frontiers Media S.A. 2017-02-06 /pmc/articles/PMC5292584/ /pubmed/28220104 http://dx.doi.org/10.3389/fneur.2017.00025 Text en Copyright © 2017 Millius and Ueda. http://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) or licensor 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 | Neuroscience Millius, Arthur Ueda, Hiroki R. Systems Biology-Derived Discoveries of Intrinsic Clocks |
title | Systems Biology-Derived Discoveries of Intrinsic Clocks |
title_full | Systems Biology-Derived Discoveries of Intrinsic Clocks |
title_fullStr | Systems Biology-Derived Discoveries of Intrinsic Clocks |
title_full_unstemmed | Systems Biology-Derived Discoveries of Intrinsic Clocks |
title_short | Systems Biology-Derived Discoveries of Intrinsic Clocks |
title_sort | systems biology-derived discoveries of intrinsic clocks |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292584/ https://www.ncbi.nlm.nih.gov/pubmed/28220104 http://dx.doi.org/10.3389/fneur.2017.00025 |
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