Abstract

The circadian clock drives gene expression rhythms, leading to daily changes in physiology and behavior. In mammals, Albumin D-site-Binding Protein (DBP) rhythmically activates transcription of various genes through a DNA cis-element, D-box. The DBP-dependent transactivation is repressed by competitive binding of E4BP4 to the D-box. Despite the elaborate regulation, physiological roles of the D-box in the circadian clockwork are still elusive. Here we identified 1490 genomic regions recognized commonly by DBP and E4BP4 in the mouse liver. We comprehensively defined functional D-box sequences using an improved bioinformatics method, MOCCS2. In RNA-Seq analysis of E4bp4-knockout and wild type liver, we showed the importance of E4BP4-mediated circadian repression in gene expression rhythms. In addition to the circadian control, we found that environmental stimuli caused acute induction of E4BP4 protein, evoking phase-dependent phase shifts of cellular circadian rhythms and resetting the clock. Collectively, D-box-mediated transcriptional regulation plays pivotal roles in input and output in the circadian clock system.

Hikari Yoshitane, Yoshimasa Asano et al. investigate role of the D-box genomic element in the circadian clockwork and identify 1490 D-box-containing regions that are bound by DBP and E4BP4 in the mouse liver. Using mice lacking liver expression of E4bp4, they demonstrate the importance of the D-box element for mediating environmental input response and resetting the circadian clock.

Details

Title
Functional D-box sequences reset the circadian clock and drive mRNA rhythms
Author
Yoshitane Hikari 1 ; Asano Yoshimasa 1 ; Sagami Aya 1 ; Sakai Seinosuke 1 ; Suzuki, Yutaka 2 ; Okamura Hitoshi 3 ; Iwasaki Wataru 1   VIAFID ORCID Logo  ; Ozaki Haruka 4   VIAFID ORCID Logo  ; Fukada Yoshitaka 1 

 The University of Tokyo, Department of Biological Sciences, School of Science, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 The University of Tokyo, Department of Medical Genome Sciences, Graduate School of Frontier Sciences, Chiba, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 Kyoto University, Department of Systems Biology, Graduate School of Pharmaceutical Sciences, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
 University of Tsukuba, Bioinformatics Laboratory, Faculty of Medicine, Ibaraki, Japan (GRID:grid.20515.33) (ISNI:0000 0001 2369 4728); University of Tsukuba, Center for Artificial Intelligence Research, Ibaraki, Japan (GRID:grid.20515.33) (ISNI:0000 0001 2369 4728) 
Publication year
2019
Publication date
2019
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2389678043
Copyright
© The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.