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Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures
Published on: November 11, 2016
Multilayer Timing of Cardiac Circadian Regulation Informs Prevention and Treatment of Cardiovascular Disease
Lanxiao Zhu1, Bin Qian1, Xin Zhang2
1Sleep Medicine Center, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310007, People's Republic of China.
Insights
Cardiovascular health relies on precise cardiac circadian rhythms. This study reveals that gene expression in the heart is regulated by multiple layers, including transcription, translation, and post-translational modifications, extending beyond the classical model.
Area of Science:
- Cardiovascular biology
- Chronobiology
- Molecular biology
Background:
- Cardiovascular diseases are a major global health burden.
- Sleep disturbances and circadian rhythm disruption are key risk factors for cardiovascular conditions like hypertension and arrhythmia.
- The heart's circadian stability is maintained by complex transcriptional, translational, and post-translational regulation, extending beyond the basic transcription-translation feedback loop (TTFL) model.
Purpose of the Study:
- To develop an integrative, time-resolved, multilayer in silico framework for analyzing cardiac circadian regulation.
- To systematically analyze cardiac circadian regulation using diverse high-throughput datasets.
- To investigate the coordination of transcriptional, translational, and post-translational regulatory mechanisms in the heart.
Main Methods:
- Integrated time-series RNA-seq, proteomics, phosphoproteomics, ChIP-seq (BMAL1, Rev-erbα), and enhancer RNA (eRNA) data from mouse hearts.
- Assessed rhythmicity using MetaCycle and compared transcriptomic and proteomic rhythms.
- Estimated translation efficiency (TE) and analyzed enhancer-gene coupling, transcription factor binding, and phosphorylation motifs.
Main Results:
- Identified 2552 rhythmic transcripts and 139 rhythmic proteins, with significant RNA-protein phase decoupling (only 31 genes rhythmic at both layers).
- Found that stable translation efficiency (TE) correlates positively with protein amplitude, supporting robust protein rhythmicity.
- Revealed BMAL1 binding enhances transcriptional amplitude and Rev-erbα binding delays gene expression, indicating complementary enhancer-level regulatory dynamics.
Conclusions:
- Supported a multilayered integrative model for cardiac circadian regulation involving transcriptional, translational, and post-translational control.
- Highlighted enhancer-level control by BMAL1 and Rev-erbα as crucial for stabilizing cardiac circadian timing.
- Extended the classical "clock-transcription-protein" paradigm by incorporating post-translational modifications and enhancer dynamics.
Background:
Cardiovascular diseases remain the leading cause of death and economic burden worldwide. Increasing evidence indicates that sleep disturbance and circadian rhythm disruption are major risk drivers for hypertension, coronary artery disease, heart failure, and arrhythmia. Although the classical transcription-translation feedback loop (TTFL) model explains the basic mechanism of rhythm generation, increasing evidence suggests that the heart-an organ with high metabolic demand-maintains circadian stability through coordinated transcriptional, translational, and post-translational regulation.
Methods:
We developed an integrative, time-resolved, multilayer in silico framework to systematically analyze cardiac circadian regulation by combining mouse heart time-series RNA-seq (GSE54650), proteomics (PXD002870), phosphoproteomics (PXD036824), BMAL1 and Rev-erbα ChIP-seq, and enhancer RNA (eRNA) datasets. Rhythmicity was assessed using MetaCycle, with cross-layer comparisons evaluating concordance and divergence between transcriptomic and proteomic rhythms, and translation efficiency (TE) estimated from protein-to-mRNA ratios. Enhancer-gene coupling, transcription factor binding, and phosphorylation motif analyses were integrated to investigate multilayer regulatory coordination.
Results:
We identified 2552 rhythmic transcripts and 139 rhythmic proteins, with only 31 genes rhythmic at both layers, indicating substantial RNA-protein phase decoupling in the heart. Temporal stability of TE correlated positively with protein amplitude, suggesting that stable translation supports robust protein rhythmicity. Phosphoproteomic analyses revealed enrichment of SP motifs mediated by proline-directed kinases in rhythmic proteins. BMAL1 binding was associated with enhanced transcriptional amplitude, whereas REV-ERBα binding was associated with delayed target gene expression, forming complementary enhancer-level regulatory dynamics.
Conclusion:
This study supports a multilayered integrative model of cardiac circadian regulation in which rhythmic gene expression is jointly shaped by transcriptional activation, translational precision, and post-translational modification. By extending the classical "clock-transcription-protein" paradigm, our findings highlight enhancer-level control mediated by BMAL1 and Rev-erbα as an important mechanism contributing to the stabilization of cardiac circadian timing.
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