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The Proteomic Landscape of the Suprachiasmatic Nucleus Clock Reveals Large-Scale Coordination of Key Biological Processes
The suprachiasmatic nucleus (SCN) acts as the central clock to coordinate circadian oscillations in mammalian behavior, physiology and gene expression. Despite our knowledge of the circadian transcriptome of the SCN, how it impacts genome-wide protein expression is not well understood. Here, we inte...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199512/ https://www.ncbi.nlm.nih.gov/pubmed/25330117 http://dx.doi.org/10.1371/journal.pgen.1004695 |
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author | Chiang, Cheng-Kang Mehta, Neel Patel, Abhilasha Zhang, Peng Ning, Zhibin Mayne, Janice Sun, Warren Y. L. Cheng, Hai-Ying M. Figeys, Daniel |
author_facet | Chiang, Cheng-Kang Mehta, Neel Patel, Abhilasha Zhang, Peng Ning, Zhibin Mayne, Janice Sun, Warren Y. L. Cheng, Hai-Ying M. Figeys, Daniel |
author_sort | Chiang, Cheng-Kang |
collection | PubMed |
description | The suprachiasmatic nucleus (SCN) acts as the central clock to coordinate circadian oscillations in mammalian behavior, physiology and gene expression. Despite our knowledge of the circadian transcriptome of the SCN, how it impacts genome-wide protein expression is not well understood. Here, we interrogated the murine SCN proteome across the circadian cycle using SILAC-based quantitative mass spectrometry. Of the 2112 proteins that were accurately quantified, 20% (421 proteins) displayed a time-of-day-dependent expression profile. Within this time-of-day proteome, 11% (48 proteins) were further defined as circadian based on a sinusoidal expression pattern with a ∼24 h period. Nine circadianly expressed proteins exhibited 24 h rhythms at the transcript level, with an average time lag that exceeded 8 h. A substantial proportion of the time-of-day proteome exhibited abrupt fluctuations at the anticipated light-to-dark and dark-to-light transitions, and was enriched for proteins involved in several key biological pathways, most notably, mitochondrial oxidative phosphorylation. Additionally, predicted targets of miR-133ab were enriched in specific hierarchical clusters and were inversely correlated with miR133ab expression in the SCN. These insights into the proteomic landscape of the SCN will facilitate a more integrative understanding of cellular control within the SCN clock. |
format | Online Article Text |
id | pubmed-4199512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41995122014-10-21 The Proteomic Landscape of the Suprachiasmatic Nucleus Clock Reveals Large-Scale Coordination of Key Biological Processes Chiang, Cheng-Kang Mehta, Neel Patel, Abhilasha Zhang, Peng Ning, Zhibin Mayne, Janice Sun, Warren Y. L. Cheng, Hai-Ying M. Figeys, Daniel PLoS Genet Research Article The suprachiasmatic nucleus (SCN) acts as the central clock to coordinate circadian oscillations in mammalian behavior, physiology and gene expression. Despite our knowledge of the circadian transcriptome of the SCN, how it impacts genome-wide protein expression is not well understood. Here, we interrogated the murine SCN proteome across the circadian cycle using SILAC-based quantitative mass spectrometry. Of the 2112 proteins that were accurately quantified, 20% (421 proteins) displayed a time-of-day-dependent expression profile. Within this time-of-day proteome, 11% (48 proteins) were further defined as circadian based on a sinusoidal expression pattern with a ∼24 h period. Nine circadianly expressed proteins exhibited 24 h rhythms at the transcript level, with an average time lag that exceeded 8 h. A substantial proportion of the time-of-day proteome exhibited abrupt fluctuations at the anticipated light-to-dark and dark-to-light transitions, and was enriched for proteins involved in several key biological pathways, most notably, mitochondrial oxidative phosphorylation. Additionally, predicted targets of miR-133ab were enriched in specific hierarchical clusters and were inversely correlated with miR133ab expression in the SCN. These insights into the proteomic landscape of the SCN will facilitate a more integrative understanding of cellular control within the SCN clock. Public Library of Science 2014-10-16 /pmc/articles/PMC4199512/ /pubmed/25330117 http://dx.doi.org/10.1371/journal.pgen.1004695 Text en © 2014 Chiang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Chiang, Cheng-Kang Mehta, Neel Patel, Abhilasha Zhang, Peng Ning, Zhibin Mayne, Janice Sun, Warren Y. L. Cheng, Hai-Ying M. Figeys, Daniel The Proteomic Landscape of the Suprachiasmatic Nucleus Clock Reveals Large-Scale Coordination of Key Biological Processes |
title | The Proteomic Landscape of the Suprachiasmatic Nucleus Clock Reveals Large-Scale Coordination of Key Biological Processes |
title_full | The Proteomic Landscape of the Suprachiasmatic Nucleus Clock Reveals Large-Scale Coordination of Key Biological Processes |
title_fullStr | The Proteomic Landscape of the Suprachiasmatic Nucleus Clock Reveals Large-Scale Coordination of Key Biological Processes |
title_full_unstemmed | The Proteomic Landscape of the Suprachiasmatic Nucleus Clock Reveals Large-Scale Coordination of Key Biological Processes |
title_short | The Proteomic Landscape of the Suprachiasmatic Nucleus Clock Reveals Large-Scale Coordination of Key Biological Processes |
title_sort | proteomic landscape of the suprachiasmatic nucleus clock reveals large-scale coordination of key biological processes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199512/ https://www.ncbi.nlm.nih.gov/pubmed/25330117 http://dx.doi.org/10.1371/journal.pgen.1004695 |
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