scholarly journals Prognostic values of the core components of the mammalian circadian clock in prostate cancer

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12539
Author(s):  
Wenchang Yue ◽  
Xiao Du ◽  
Xuhong Wang ◽  
Niu Gui ◽  
Weijie Zhang ◽  
...  
Keyword(s):  
Circadian Clock ◽  
Risk Score ◽  
Clock Genes ◽  
Predictive Performance ◽  
Lymph Node Status ◽  
Free Survival ◽  
The Core ◽  
Circadian Clock Genes ◽  
Core Components ◽  
Score Model

Background Prostate cancer (PC) is one of the most common malignancies in males. Extensive and complex connections between circadian rhythm and cancer were found. Nonetheless, in PC, the potential role of the core components of the mammalian circadian clock (CCMCCs) in prognosis prediction has not been fully clarified. Methods We firstly collected 605 patients with PC from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Survival analysis was carried out for each CCMCC. Then, we investigated the prognostic ability of CCMCCs by Cox regression analysis. Independent prognostic signatures were extracted for the establishment of the circadian clock-based risk score model. We explored the predictive performance of the risk score model in the TCGA training cohort and the independent GEO dataset. Finally, the relationships between risk score and clinicopathological parameters, biological processes, and signaling pathways were evaluated. Results The expression levels of CCMCCs were widely correlated with age, tumor status, lymph node status, disease-free survival (DFS), progression-free survival (PFS), and overall survival (OS). Nine circadian clock genes, including CSNK1D, BTRC, CLOCK, CSNK1E, FBXL3, PRKAA2, DBP, NR1D2, and RORB, were identified as vital prognostic factors in PC and were used to construct the circadian clock-based risk score model. For DFS, the area under the 3-year or 5-year receiver operating characteristic curves ranged from 0.728 to 0.821, suggesting better predictive performance. When compared with T3-4N1 stage, PC patients at T2N0 stage might be benefited more from the circadian clock-based risk score model. Furthermore, a high circadian clock-based risk score indicated shorter DFS (p < 0.0001), early progression (p < 0.0001), and higher 5-year death rate (p = 0.007) in PC. The risk score was related to tumor status (p < 0.001), lymph node status (p < 0.001), and ribosome-related biogenesis and pathways. Conclusions The vital roles of circadian clock genes in clinical outcomes were fully depicted. The circadian clock-based risk score model could reflect and predict the prognosis of patients with PC.

Expression of circadian clock genes in retinal dopaminergic cells

2007 ◽  
Vol 24 (4) ◽  
pp. 573-580 ◽  
Author(s):  
RONALD DORENBOS ◽  
MASSIMO CONTINI ◽  
HAJIME HIRASAWA ◽  
STEFANO GUSTINCICH ◽  
ELIO RAVIOLA
Keyword(s):  
Circadian Clock ◽  
Light Adaptation ◽  
Clock Genes ◽  
Negative Control ◽  
Circadian Oscillators ◽  
Interesting Candidate ◽  
Circadian Clock Genes ◽  
Core Components ◽  
A Site

The mammalian neural retina contains single or multiple intrinsic circadian oscillators that can be directly entrained by light cycles. Dopaminergic amacrine (DA) cells represent an especially interesting candidate as a site of the retinal oscillator because of the crucial role of dopamine in light adaptation, and the widespread distribution of dopamine receptors in the retina. We hereby show by single-cell, end-point RT-PCR that retinal DA cells contain the transcripts for six core components of the circadian clock: Bmal1, Clock, Cry1, Cry2, Per1, and Per2. Rod photoreceptors represented a negative control, because they did not appear to contain clock transcripts. We finally confirmed that DA cells contain the protein encoded by the Bmal1 gene by comparing immunostaining of the nuclei of DA cells in the retinas of wildtype and Bmal1−/− mice. It is therefore likely that DA cells contain a circadian clock that anticipates predictable variations in retinal illumination.

scholarly journals The Plant Circadian Clock and Chromatin Modifications

Genes ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 561 ◽  
Author(s):  
Ping Yang ◽  
Jianhao Wang ◽  
Fu-Yu Huang ◽  
Songguang Yang ◽  
Keqiang Wu
Keyword(s):  
Circadian Clock ◽  
Clock Genes ◽  
Feedback Regulation ◽  
Chromatin Modifications ◽  
Environmental Signals ◽  
The Core ◽  
Physiological Processes ◽  
Circadian Clock Genes ◽  
Rhythmic Gene ◽  
Transcriptional Feedback

The circadian clock is an endogenous timekeeping network that integrates environmental signals with internal cues to coordinate diverse physiological processes. The circadian function depends on the precise regulation of rhythmic gene expression at the core of the oscillators. In addition to the well-characterized transcriptional feedback regulation of several clock components, additional regulatory mechanisms, such as alternative splicing, regulation of protein stability, and chromatin modifications are beginning to emerge. In this review, we discuss recent findings in the regulation of the circadian clock function in Arabidopsis thaliana. The involvement of chromatin modifications in the regulation of the core circadian clock genes is also discussed.

scholarly journals Genomics and Prognosis Analysis of Circadian clock genes in Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Qikuan He ◽  
Pengyi Guo ◽  
Yunshou Lin ◽  
Zhongjing Zhang ◽  
Yanning Lv ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Circadian Clock ◽  
Risk Score ◽  
Clock Genes ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Normal Tissues ◽  
Circadian Clock Genes ◽  
Cancer Genome Atlas ◽  
Genome Consortium

Abstract Background: Circadian clock genes have been reported to exhibit a regulatory effect on the carcinogenesis and progression of numerous cancers. Nevertheless, the specific relationship between hepatocellular carcinoma (HCC) and circadian rhythm associated genes still remain to be clarified. Therefore, we evaluate the prognosis function of circadian clock genes in HCC with the online datasets of The Cancer Genome Atlas (TCGA) and the international cancer genome consortium (ICGC). Methods: In our research, the RNA-seq of the selected core circadian genes in HCC patients and their relevant clinical data were acquired from the online TCGA database and the ICGC database. R software and cBioPortal website were performed. Results: As consequence, among the 22 typical circadian clock genes, 16 genes were statistically expressed between HCC and adjacent normal tissues. Accordingly, 11 clock genes with regression coefficients were used to constitute a new risk score formula, which was related to the prognosis in HCC. Moreover, the new nomogram, which consisting risk score and several clinical traits , could be applied for the purpose of accurate prediction of the OS time for the patients. Finally, we identified a novel nomogram related with OS in HCC patients with a comprehensive analysis of circadian clock genes and other clinical characteristics profiles. It was also the first time we systematically demonstrated the relationship between clock genes and the HCC prognosis, which would contribute to the treatment of HCC. Conclusions: The current study demonstrated the potential of circadian clock genes as clinically associated biomarkers for prognosis prediction in HCC, which may make a significant contribution to the further investigations of HCC progression.

scholarly journals Transcriptomal dissection of soybean circadian rhythmicity in two geographically, phenotypically and genetically distinct cultivars

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yanlei Yue ◽  
Ze Jiang ◽  
Enoch Sapey ◽  
Tingting Wu ◽  
Shi Sun ◽  
...  
Keyword(s):  
Gene Expression ◽  
Circadian Clock ◽  
Chromosome Structure ◽  
Clock Genes ◽  
Expression Profiles ◽  
Circadian Rhythmicity ◽  
Rna Seq ◽  
Night Time ◽  
Time Points ◽  
Circadian Clock Genes

Abstract Background In soybean, some circadian clock genes have been identified as loci for maturity traits. However, the effects of these genes on soybean circadian rhythmicity and their impacts on maturity are unclear. Results We used two geographically, phenotypically and genetically distinct cultivars, conventional juvenile Zhonghuang 24 (with functional J/GmELF3a, a homolog of the circadian clock indispensable component EARLY FLOWERING 3) and long juvenile Huaxia 3 (with dysfunctional j/Gmelf3a) to dissect the soybean circadian clock with time-series transcriptomal RNA-Seq analysis of unifoliate leaves on a day scale. The results showed that several known circadian clock components, including RVE1, GI, LUX and TOC1, phase differently in soybean than in Arabidopsis, demonstrating that the soybean circadian clock is obviously different from the canonical model in Arabidopsis. In contrast to the observation that ELF3 dysfunction results in clock arrhythmia in Arabidopsis, the circadian clock is conserved in soybean regardless of the functional status of J/GmELF3a. Soybean exhibits a circadian rhythmicity in both gene expression and alternative splicing. Genes can be grouped into six clusters, C1-C6, with different expression profiles. Many more genes are grouped into the night clusters (C4-C6) than in the day cluster (C2), showing that night is essential for gene expression and regulation. Moreover, soybean chromosomes are activated with a circadian rhythmicity, indicating that high-order chromosome structure might impact circadian rhythmicity. Interestingly, night time points were clustered in one group, while day time points were separated into two groups, morning and afternoon, demonstrating that morning and afternoon are representative of different environments for soybean growth and development. However, no genes were consistently differentially expressed over different time-points, indicating that it is necessary to perform a circadian rhythmicity analysis to more thoroughly dissect the function of a gene. Moreover, the analysis of the circadian rhythmicity of the GmFT family showed that GmELF3a might phase- and amplitude-modulate the GmFT family to regulate the juvenility and maturity traits of soybean. Conclusions These results and the resultant RNA-seq data should be helpful in understanding the soybean circadian clock and elucidating the connection between the circadian clock and soybean maturity.

Circadian clock genes as promising therapeutic targets for autoimmune diseases

2021 ◽  
pp. 102866
Author(s):  
Kun Xiang ◽  
Zhiwei Xu ◽  
Yu-Qian Hu ◽  
Yi-Sheng He ◽  
Guo-Cui Wu ◽  
...  
Keyword(s):  
Autoimmune Diseases ◽  
Circadian Clock ◽  
Clock Genes ◽  
Therapeutic Targets ◽  
Circadian Clock Genes

Light and the Regulation of Mammalian Circadian Clock Genes

2002 ◽  
pp. 411-425
Author(s):  
Michael H. Hastings ◽  
Verdun M. King ◽  
Elizabeth S. Maywood
Keyword(s):  
Circadian Clock ◽  
Clock Genes ◽  
Circadian Clock Genes

scholarly journals Modulatory Effects of Circadian Rhythms in the Lung Adenocarcinoma Tumor Microenvironment

2021 ◽  
Author(s):  
Qianzhun Huang ◽  
Xiaoyang Su ◽  
Ning Fang ◽  
Jian Huang
Keyword(s):  
Tumor Microenvironment ◽  
Circadian Rhythms ◽  
Lung Adenocarcinoma ◽  
Circadian Clock ◽  
Drug Sensitivity ◽  
Molecular Mechanisms ◽  
Clock Genes ◽  
Functional Enrichment ◽  
Expression Levels ◽  
Circadian Clock Genes

Abstract Background: Dysregulated circadian dynamic balance is strongly associated with cancer development. However, biological functions of circadian rhythms in lung adenocarcinoma (LUAD) have not been elucidated. This study aimed at valuating the modulatory effects of circadian rhythms in the LUAD tumor microenvironment.Methods: Multiple open-source bioinformatics research platforms are used to comprehensively elucidate the expression level, prognosis, potential biological function, drug sensitivity, and immune microenvironment of circadian clock genes in LUAD.Results: Most circadian clock genes in LUAD are dysregulated and are strongly correlated with patient prognosis, and missense mutations at splicing sites of these genes. Besides, these genes are closely associated with some well-known cancer-related marker pathways, which are mainly involved in the inhibition of the Apoptosis, Cell cycle, and DNA Damage Response Pathway. Furthermore, functional enrichment analysis revealedthat circadian clock genes regulate transcription factor activities and circadian rhythms in LUAD tissues. As for drug sensitivity, high expression of CLOCK, CRY1, and NR1D2 as well as suppressedPER2 and CRY2 expression levels are associated with drug resistance. The expression levels of circadian clock genes in LUAD correlate with immune infiltration and are involved in the regulation of immunosuppression.Conclusions: Our multi-omics analysis provides a more comprehensive understanding of the molecular mechanisms of the circadian clock genes in LUAD and provides new insights for a more precise screening of prognostic biomarkers and immunotherapy.

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