Literature DB >> 19287494

Regulation of clock-controlled genes in mammals.

Katarzyna Bozek1, Angela Relógio, Szymon M Kielbasa, Markus Heine, Christof Dame, Achim Kramer, Hanspeter Herzel.   

Abstract

The complexity of tissue- and day time-specific regulation of thousands of clock-controlled genes (CCGs) suggests that many regulatory mechanisms contribute to the transcriptional output of the circadian clock. We aim to predict these mechanisms using a large scale promoter analysis of CCGs.Our study is based on a meta-analysis of DNA-array data from rodent tissues. We searched in the promoter regions of 2065 CCGs for highly overrepresented transcription factor binding sites. In order to compensate the relatively high GC-content of CCG promoters, a novel background model to avoid a bias towards GC-rich motifs was employed. We found that many of the transcription factors with overrepresented binding sites in CCG promoters exhibit themselves circadian rhythms. Among the predicted factors are known regulators such as CLOCKratioBMAL1, DBP, HLF, E4BP4, CREB, RORalpha and the recently described regulators HSF1, STAT3, SP1 and HNF-4alpha. As additional promising candidates of circadian transcriptional regulators PAX-4, C/EBP, EVI-1, IRF, E2F, AP-1, HIF-1 and NF-Y were identified. Moreover, GC-rich motifs (SP1, EGR, ZF5, AP-2, WT1, NRF-1) and AT-rich motifs (MEF-2, HMGIY, HNF-1, OCT-1) are significantly overrepresented in promoter regions of CCGs. Putative tissue-specific binding sites such as HNF-3 for liver, NKX2.5 for heart or Myogenin for skeletal muscle were found. The regulation of the erythropoietin (Epo) gene was analysed, which exhibits many binding sites for circadian regulators. We provide experimental evidence for its circadian regulated expression in the adult murine kidney. Basing on a comprehensive literature search we integrate our predictions into a regulatory network of core clock and clock-controlled genes. Our large scale analysis of the CCG promoters reveals the complexity and extensiveness of the circadian regulation in mammals. Results of this study point to connections of the circadian clock to other functional systems including metabolism, endocrine regulation and pharmacokinetics.

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Year:  2009        PMID: 19287494      PMCID: PMC2654074          DOI: 10.1371/journal.pone.0004882

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  58 in total

1.  Circadian programs of transcriptional activation, signaling, and protein turnover revealed by microarray analysis of mammalian cells.

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2.  Transcriptional regulation of the human Sp1 gene promoter by the specificity protein (Sp) family members nuclear factor Y (NF-Y) and E2F.

Authors:  Marta Nicolás; Vèronique Noé; Carlos J Ciudad
Journal:  Biochem J       Date:  2003-04-15       Impact factor: 3.857

3.  Constrained binding site diversity within families of transcription factors enhances pattern discovery bioinformatics.

Authors:  Albin Sandelin; Wyeth W Wasserman
Journal:  J Mol Biol       Date:  2004-04-23       Impact factor: 5.469

4.  SREBP-1 as a transcriptional integrator of circadian and nutritional cues in the liver.

Authors:  Michelle Brewer; David Lange; Ruben Baler; Ana Anzulovich
Journal:  J Biol Rhythms       Date:  2005-06       Impact factor: 3.182

5.  Role of DBP in the circadian oscillatory mechanism.

Authors:  S Yamaguchi; S Mitsui; L Yan; K Yagita; S Miyake; H Okamura
Journal:  Mol Cell Biol       Date:  2000-07       Impact factor: 4.272

6.  The rat arylalkylamine N-acetyltransferase E-box: differential use in a master vs. a slave oscillator.

Authors:  W Chen; R Baler
Journal:  Brain Res Mol Brain Res       Date:  2000-09-30

7.  A molecular mechanism regulating rhythmic output from the suprachiasmatic circadian clock.

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8.  Functioning and robustness of a bacterial circadian clock.

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9.  Experimental validation of a predicted feedback loop in the multi-oscillator clock of Arabidopsis thaliana.

Authors:  James C W Locke; László Kozma-Bognár; Peter D Gould; Balázs Fehér; Eva Kevei; Ferenc Nagy; Matthew S Turner; Anthony Hall; Andrew J Millar
Journal:  Mol Syst Biol       Date:  2006-11-14       Impact factor: 11.429

10.  Analysis of circadian pattern reveals tissue-specific alternative transcription in leptin signaling pathway.

Authors:  Andrey A Ptitsyn; Jeffrey M Gimble
Journal:  BMC Bioinformatics       Date:  2007-11-01       Impact factor: 3.169

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  116 in total

Review 1.  Genomics and systems approaches in the mammalian circadian clock.

Authors:  Julie E Baggs; John B Hogenesch
Journal:  Curr Opin Genet Dev       Date:  2010-12       Impact factor: 5.578

Review 2.  Circadian rhythms and cancer.

Authors:  Sigal Gery; H Philip Koeffler
Journal:  Cell Cycle       Date:  2010-03-15       Impact factor: 4.534

Review 3.  Circadian mRNA expression: insights from modeling and transcriptomics.

Authors:  Sarah Lück; Pål O Westermark
Journal:  Cell Mol Life Sci       Date:  2015-10-26       Impact factor: 9.261

Review 4.  Molecular bases of circadian rhythmicity in renal physiology and pathology.

Authors:  Olivier Bonny; Manlio Vinciguerra; Michelle L Gumz; Gianluigi Mazzoccoli
Journal:  Nephrol Dial Transplant       Date:  2013-07-30       Impact factor: 5.992

Review 5.  Transcriptional control of antioxidant defense by the circadian clock.

Authors:  Sonal A Patel; Nikkhil S Velingkaar; Roman V Kondratov
Journal:  Antioxid Redox Signal       Date:  2014-01-03       Impact factor: 8.401

6.  Transcription factor NF-Y is a functional regulator of the transcription of core clock gene Bmal1.

Authors:  Jun Xiao; Yongchun Zhou; Hao Lai; Shi Lei; Lisa H Chi; Xianwei Mo
Journal:  J Biol Chem       Date:  2013-09-12       Impact factor: 5.157

Review 7.  Circadian clock circuitry in colorectal cancer.

Authors:  Gianluigi Mazzoccoli; Manlio Vinciguerra; Gennaro Papa; Ada Piepoli
Journal:  World J Gastroenterol       Date:  2014-04-21       Impact factor: 5.742

Review 8.  Circadian rhythms, alcohol and gut interactions.

Authors:  Christopher B Forsyth; Robin M Voigt; Helen J Burgess; Garth R Swanson; Ali Keshavarzian
Journal:  Alcohol       Date:  2014-11-14       Impact factor: 2.405

9.  Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia.

Authors:  Nathan A Stephens; Iain J Gallagher; Olav Rooyackers; Richard J Skipworth; Ben H Tan; Troels Marstrand; James A Ross; Denis C Guttridge; Lars Lundell; Kenneth C Fearon; James A Timmons
Journal:  Genome Med       Date:  2010-01-15       Impact factor: 11.117

10.  Genetic variant in HK1 is associated with a proanemic state and A1C but not other glycemic control-related traits.

Authors:  Amélie Bonnefond; Martine Vaxillaire; Yann Labrune; Cécile Lecoeur; Jean-Claude Chèvre; Nabila Bouatia-Naji; Stéphane Cauchi; Beverley Balkau; Michel Marre; Jean Tichet; Jean-Pierre Riveline; Samy Hadjadj; Yves Gallois; Sébastien Czernichow; Serge Hercberg; Marika Kaakinen; Susanne Wiesner; Guillaume Charpentier; Claire Lévy-Marchal; Paul Elliott; Marjo-Riitta Jarvelin; Fritz Horber; Christian Dina; Oluf Pedersen; Robert Sladek; David Meyre; Philippe Froguel
Journal:  Diabetes       Date:  2009-08-03       Impact factor: 9.461

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