[HTML][HTML] The proteomic landscape of the suprachiasmatic nucleus clock reveals large-scale coordination of key biological processes

CK Chiang, N Mehta, A Patel, P Zhang, Z Ning… - PLoS …, 2014 - journals.plos.org
CK Chiang, N Mehta, A Patel, P Zhang, Z Ning, J Mayne, WYL Sun, HYM Cheng, D Figeys
PLoS genetics, 2014journals.plos.org
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 …
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.
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