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Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome

Oscillations in circadian metabolism are crucial to the well being of organism. Our understanding of metabolic rhythms has been greatly enhanced by recent advances in high-throughput systems biology experimental techniques and data analysis. In an in vitro setting, metabolite rhythms can be measured...

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Autores principales: Sengupta, Arjun, Krishnaiah, Saikumari Y., Rhoades, Seth, Growe, Jacqueline, Slaff, Barry, Venkataraman, Anand, Olarerin-George, Anthony O., Van Dang, Chi, Hogenesch, John B., Weljie, Aalim M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041122/
https://www.ncbi.nlm.nih.gov/pubmed/27472375
http://dx.doi.org/10.3390/metabo6030023
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author Sengupta, Arjun
Krishnaiah, Saikumari Y.
Rhoades, Seth
Growe, Jacqueline
Slaff, Barry
Venkataraman, Anand
Olarerin-George, Anthony O.
Van Dang, Chi
Hogenesch, John B.
Weljie, Aalim M.
author_facet Sengupta, Arjun
Krishnaiah, Saikumari Y.
Rhoades, Seth
Growe, Jacqueline
Slaff, Barry
Venkataraman, Anand
Olarerin-George, Anthony O.
Van Dang, Chi
Hogenesch, John B.
Weljie, Aalim M.
author_sort Sengupta, Arjun
collection PubMed
description Oscillations in circadian metabolism are crucial to the well being of organism. Our understanding of metabolic rhythms has been greatly enhanced by recent advances in high-throughput systems biology experimental techniques and data analysis. In an in vitro setting, metabolite rhythms can be measured by time-dependent sampling over an experimental period spanning one or more days at sufficent resolution to elucidate rhythms. We hypothesized that cellular metabolic effects over such a time course would be influenced by both oscillatory and circadian-independent cell metabolic effects. Here we use nuclear magnetic resonance (NMR) spectroscopy-based metabolic profiling of mammalian cell culture media of synchronized U2 OS cells containing an intact transcriptional clock. The experiment was conducted over 48 h, typical for circadian biology studies, and samples collected at 2 h resolution to unravel such non-oscillatory effects. Our data suggest specific metabolic activities exist that change continuously over time in this settting and we demonstrate that the non-oscillatory effects are generally monotonic and possible to model with multivariate regression. Deconvolution of such non-circadian persistent changes are of paramount importance to consider while studying circadian metabolic oscillations.
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spelling pubmed-50411222016-10-05 Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome Sengupta, Arjun Krishnaiah, Saikumari Y. Rhoades, Seth Growe, Jacqueline Slaff, Barry Venkataraman, Anand Olarerin-George, Anthony O. Van Dang, Chi Hogenesch, John B. Weljie, Aalim M. Metabolites Article Oscillations in circadian metabolism are crucial to the well being of organism. Our understanding of metabolic rhythms has been greatly enhanced by recent advances in high-throughput systems biology experimental techniques and data analysis. In an in vitro setting, metabolite rhythms can be measured by time-dependent sampling over an experimental period spanning one or more days at sufficent resolution to elucidate rhythms. We hypothesized that cellular metabolic effects over such a time course would be influenced by both oscillatory and circadian-independent cell metabolic effects. Here we use nuclear magnetic resonance (NMR) spectroscopy-based metabolic profiling of mammalian cell culture media of synchronized U2 OS cells containing an intact transcriptional clock. The experiment was conducted over 48 h, typical for circadian biology studies, and samples collected at 2 h resolution to unravel such non-oscillatory effects. Our data suggest specific metabolic activities exist that change continuously over time in this settting and we demonstrate that the non-oscillatory effects are generally monotonic and possible to model with multivariate regression. Deconvolution of such non-circadian persistent changes are of paramount importance to consider while studying circadian metabolic oscillations. MDPI 2016-07-26 /pmc/articles/PMC5041122/ /pubmed/27472375 http://dx.doi.org/10.3390/metabo6030023 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sengupta, Arjun
Krishnaiah, Saikumari Y.
Rhoades, Seth
Growe, Jacqueline
Slaff, Barry
Venkataraman, Anand
Olarerin-George, Anthony O.
Van Dang, Chi
Hogenesch, John B.
Weljie, Aalim M.
Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome
title Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome
title_full Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome
title_fullStr Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome
title_full_unstemmed Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome
title_short Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome
title_sort deciphering the duality of clock and growth metabolism in a cell autonomous system using nmr profiling of the secretome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041122/
https://www.ncbi.nlm.nih.gov/pubmed/27472375
http://dx.doi.org/10.3390/metabo6030023
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