Title
Digital Signal Processing Reveals Circadian Baseline Oscillation In Majority Of Mammalian Genes
Abstract
In mammals, circadian periodicity has been described for gene expression in the hypothalamus and multiple peripheral tissues. It is accepted that 10%-15% of all genes oscillate in a daily rhythm, regulated by an intrinsic molecular clock. Statistical analyses of periodicity are limited by the small size of datasets and high levels of stochastic noise. Here, we propose a new approach applying digital signal processing algorithms separately to each group of genes oscillating in the same phase. Combined with the statistical tests for periodicity, this method identifies circadian baseline oscillation in almost 100% of all expressed genes. Consequently, circadian oscillation in gene expression should be evaluated in any study related to biological pathways. Changes in gene expression caused by mutations or regulation of environmental factors (such as photic stimuli or feeding) should be considered in the context of changes in the amplitude and phase of genetic oscillations.
Year
DOI
Venue
2007
10.1371/journal.pcbi.0030120
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
oscillations,gene expression,molecular clock,digital signal processing,statistical test,genetics
Oscillating gene,Circadian rhythm,Gene,Biology,Gene expression,Regulation of gene expression,Bioinformatics,Genetics,Rhythm,DNA microarray,Biological pathway
Journal
Volume
Issue
ISSN
3
6
1553-7358
Citations 
PageRank 
References 
5
0.69
7
Authors
3
Name
Order
Citations
PageRank
Andrey A Ptitsyn11619.32
Sanjin Zvonic2553.89
Jeffrey M Gimble3574.28