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Detection of periodic patterns in microarray data reveals novel oscillating transcripts of biological rhythms in Ciona intestinalis

Matsumae, Hiromi; Ishiwata, Ryosuke; Minamoto, Toshifumi; Ishida, Norio; Ogishima, Soichi; Tanaka, Hiroshi (2015). Detection of periodic patterns in microarray data reveals novel oscillating transcripts of biological rhythms in Ciona intestinalis. Artificial Life and Robotics, 20(4):347-352.

Abstract

A circadian rhythm is a roughly 24-h cycle in biological processes and physiological phenomena such as sleep, feeding, and photosynthesis for many organisms on Earth. The circadian patterns are coordinated by rhythmical gene expression of clock genes. Time-course transcriptomic analyses involving statistical methods have shown coordination of periodic gene expression in many organisms. Here we applied the cosine fitting method COSOPT to identify novel oscillating genes in microarray data for the chordate Ciona intestinalis. This organism showed rhythmic oxygen consumption in our previous study, but there were few homologous clock genes showing rhythmic mRNA expression. To understand circadian behavior at the transcriptomic level, we analyzed the 817 of 21,938 probes showing a 23- to 25-h period by means of COSOPT. Coupling the analysis of period detection with functional annotations indicated that previously unknown rhythmic mRNA expression might exist in C. intestinalis. In addition, we are releasing our implementation of COSOPT by means of R and C. All source code and supplementary information are available from https://github.com/mhiromi/cosopt.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:National licences > 142-005
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Life Sciences > General Biochemistry, Genetics and Molecular Biology
Physical Sciences > Artificial Intelligence
Uncontrolled Keywords:Artificial Intelligence, General Biochemistry, Genetics and Molecular Biology
Language:English
Date:1 December 2015
Deposited On:19 Oct 2021 15:52
Last Modified:15 Jun 2024 03:40
Publisher:Springer
ISSN:1433-5298
OA Status:Green
Publisher DOI:https://doi.org/10.1007/s10015-015-0237-6
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  • Content: Published Version
  • Language: English
  • Description: Nationallizenz 142-005

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