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PMID: 32160860 Published · epublish English Journal Article

Endogenous circadian time genes expressions in the liver of mice under constant darkness.

BMC genomics ·Vol. 21 ·No. 1 ·2020-03-12 ·Pages 224

Li H, Zhang S, Zhang W, Chen S, Rabearivony A, Shi Y, Liu J, Corton CJ, Liu C

Abstract

The circadian rhythms regulate physiological functions and metabolism. Circadian Time (CT) is a unit to quantify the rhythm of endogenous circadian clock, independent of light influence. To understand the gene expression changes throughout CT, C57BL/6 J mice were maintained under constant darkness (DD) for 6 weeks, and the liver samples were collected starting at 9:00 AM (CT1), and every 4 h in a 24-h cycle (CT5, CT9, CT13, CT17 and CT21). Total RNA was extracted and subjected to RNA-Seq data (deposited as GSE 133342, L-DD). To compare gene oscillation pattern under normal light-dark condition (LD, GSE114400) and short time (2 days) dark-dark condition (S-DD, GSE70497), these data were retried from GEO database, and the trimmed mean of M-values normalization was used to normalize the three RNA-seq data followed by MetaCycle analysis. Approximate 12.1% of the genes under L-DD exhibited significant rhythmically expression. The top 5 biological processes enriched in L-DD oscillation genes were mRNA processing, aromatic compound catabolic process, mitochondrion organization, heterocycle catabolic process and cellular nitrogen compound mitotic catabolic process. The endogenous circadian rhythms of clock genes, P450 genes and lipid metabolism genes under L-DD were further compared with LD and S-DD. The oscillation patterns were similar but the period and amplitude of those oscillation genes were slightly altered. RT-qPCR confirmed the selected RNA sequence findings. This is the first study to profile oscillation gene expressions under L-DD. Our data indicate that clock genes, P450 genes and lipid metabolism genes expressed rhythmically under L-DD. Light was not the necessary factor for persisting circadian rhythm but influenced the period and amplitude of oscillation genes.

Keywords
Circadian time Constant darkness MetaCycle Mouse liver RNA sequence RT-qPCR
MeSH Terms
Animals CLOCK Proteins/genetics Circadian Rhythm Cytochrome P-450 Enzyme System/genetics Darkness Gene Expression Profiling Gene Expression Regulation Lipid Metabolism Liver/chemistry Mice Mice, Inbred C57BL Sequence Analysis, RNA/methods
Chemicals
Cytochrome P-450 Enzyme System CLOCK Proteins
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Li Huan
School of Life Sciences and Technology, China Pharmaceutical University, Nanjing, China.
Zhang Shiyao
School of Life Sciences and Technology, China Pharmaceutical University, Nanjing, China.
Zhang Wenxiang
School of Life Sciences and Technology, China Pharmaceutical University, Nanjing, China.
Chen Siyu
School of Life Sciences and Technology, China Pharmaceutical University, Nanjing, China.
Rabearivony Anjara
School of Life Sciences and Technology, China Pharmaceutical University, Nanjing, China.
Shi Yujie
School of Life Sciences and Technology, China Pharmaceutical University, Nanjing, China.
Liu Jie
Key Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi, Guizhou, China. | Computational Toxicology Division, US Environmental Protection Agency, Research Triangle Park, NC, USA.
Corton Christopher J
Computational Toxicology Division, US Environmental Protection Agency, Research Triangle Park, NC, USA.
Liu Chang
School of Life Sciences and Technology, China Pharmaceutical University, Nanjing, China. changliu@cpu.edu.cn.
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Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
ISSN
1471-2164
Published
2020-03-12
Epub
2020-00-12
Pages
224
Language
English
Region
England
NLM ID
100965258
PMCID
PMC7066782
Subset
IM
Grants
Natural Science Foundation of Ningbo · 31800992
National Natural Science Foundation of China · 311771298
National Natural Science Foundation of China · 81800512
Postgraduate Research & Practice Innovation Program of Jiangsu Province (CN) · KYCX18_0781
Postgraduate Research & Practice Innovation Program of Jiangsu Province (CN) · KYCX19_0660
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