Article thumbnail
Location of Repository

Cluster analysis of the time-of-day-dependent SCN proteome.

By Cheng-Kang Chiang (607367), Neel Mehta (645839), Abhilasha Patel (645840), Peng Zhang (2071), Zhibin Ning (645841), Janice Mayne (93512), Warren Y. L. Sun (645842), Hai-Ying M. Cheng (607369) and Daniel Figeys (25334)

Abstract

<p>(<b>A</b>) Hierarchical clustering of the 421 proteins that exhibited statistically significant, time-of-day-dependent expression in the SCN. After z-score normalization of the median value of logarithmized intensities (Log<sub>2</sub>) of each protein profile within Euclidean distances against those 421 time-of-day-dependent proteins, they were classified into six different expression clusters (denoted A through F). (<b>B</b>) Expression profile of the six hierarchical clusters, which were statistically different relative to one another. Two dominant clusters, B and E, were mirror images of one another. (<b>C</b>) Distribution of GO biological process terms in the six hierarchical clusters. Three GO biological processes were specifically enriched in cluster E relative to the time-of-day proteome. **p<0.01, ***p<0.001.</p

Topics: Uncategorised, Suprachiasmatic nucleus, Proteomic Landscape, mitochondrial oxidative phosphorylation, mass spectrometry, 2112 proteins, gene expression, 24 h rhythms, circadian transcriptome, murine SCN proteome, miR 133ab expression, SCN clock, transcript level, circadian cycle, circadian oscillations, expression pattern, Suprachiasmatic Nucleus Clock, 8 h
Year: 2014
DOI identifier: 10.1371/journal.pgen.1004695.g003
OAI identifier: oai:figshare.com:article/1207123
Provided by: FigShare
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://figshare.com/articles/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.