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1.
Genes Dev ; 33(5-6): 294-309, 2019 03 01.
Artículo en Inglés | MEDLINE | ID: mdl-30804225

RESUMEN

The mammalian circadian clock relies on the transcription factor CLOCK:BMAL1 to coordinate the rhythmic expression of thousands of genes. Consistent with the various biological functions under clock control, rhythmic gene expression is tissue-specific despite an identical clockwork mechanism in every cell. Here we show that BMAL1 DNA binding is largely tissue-specific, likely because of differences in chromatin accessibility between tissues and cobinding of tissue-specific transcription factors. Our results also indicate that BMAL1 ability to drive tissue-specific rhythmic transcription is associated with not only the activity of BMAL1-bound enhancers but also the activity of neighboring enhancers. Characterization of physical interactions between BMAL1 enhancers and other cis-regulatory regions by RNA polymerase II chromatin interaction analysis by paired-end tag (ChIA-PET) reveals that rhythmic BMAL1 target gene expression correlates with rhythmic chromatin interactions. These data thus support that much of BMAL1 target gene transcription depends on BMAL1 capacity to rhythmically regulate a network of enhancers.


Asunto(s)
Factores de Transcripción ARNTL/genética , Factores de Transcripción ARNTL/metabolismo , Regulación de la Expresión Génica/genética , Secuencias de Aminoácidos/genética , Animales , Cromatina/metabolismo , Ritmo Circadiano/genética , Elementos de Facilitación Genéticos/genética , Masculino , Ratones , Ratones Endogámicos C57BL , Especificidad de Órganos , Regiones Promotoras Genéticas/genética , Unión Proteica , ARN Polimerasa II/metabolismo
2.
BMC Biol ; 20(1): 58, 2022 03 03.
Artículo en Inglés | MEDLINE | ID: mdl-35236346

RESUMEN

BACKGROUND: Many epidemiological studies revealed that shift work is associated with an increased risk of a number of pathologies, including cardiovascular diseases. An experimental model of shift work in rats has additionally been shown to recapitulate aspects of metabolic disorders observed in human shift workers, including increased fat content and impaired glucose tolerance, and used to demonstrate that restricting food consumption outside working hours prevents shift work-associated obesity and metabolic disturbance. However, the way distinct shift work parameters, such as type of work, quantity, and duration, affect cardiovascular function and the underlying mechanisms, remains poorly understood. Here, we used the rat as a model to characterize the effects of shift work in the heart and determine whether they can be modulated by restricting food intake during the normal active phase. RESULTS: We show that experimental shift work reprograms the heart cycling transcriptome independently of food consumption. While phases of rhythmic gene expression are distributed across the 24-h day in control rats, they are clustered towards discrete times in shift workers. Additionally, preventing food intake during shift work affects the expression level of hundreds of genes in the heart, including genes encoding components of the extracellular matrix and inflammatory markers found in transcriptional signatures associated with pressure overload and cardiac hypertrophy. Consistent with this, the heart of shift worker rats not eating during work hours, but having access to food outside of shift work, exhibits increased collagen 1 deposition and displays increased infiltration by immune cells. While maintaining food access during shift work has less effects on gene expression, genes found in transcriptional signatures of cardiac hypertrophy remain affected, and the heart of shift worker rats exhibits fibrosis without inflammation. CONCLUSIONS: Together, our findings unraveled differential effects of food consumption on remodeled transcriptional profiles of the heart in shift worker rats. They also provide insights into how shift work affects cardiac function and suggest that some interventions aiming at mitigating metabolic disorders in shift workers may have adverse effects on cardiovascular diseases.


Asunto(s)
Enfermedades Cardiovasculares , Enfermedades Metabólicas , Horario de Trabajo por Turnos , Animales , Cardiomegalia , Ritmo Circadiano , Ingestión de Alimentos , Fibrosis , Inflamación/genética , Ratas , Horario de Trabajo por Turnos/efectos adversos , Transcriptoma
3.
PLoS Genet ; 14(1): e1007156, 2018 01.
Artículo en Inglés | MEDLINE | ID: mdl-29300726

RESUMEN

The mammalian circadian clock relies on the transcription factor CLOCK:BMAL1 to coordinate the rhythmic expression of 15% of the transcriptome and control the daily regulation of biological functions. The recent characterization of CLOCK:BMAL1 cistrome revealed that although CLOCK:BMAL1 binds synchronously to all of its target genes, its transcriptional output is highly heterogeneous. By performing a meta-analysis of several independent genome-wide datasets, we found that the binding of other transcription factors at CLOCK:BMAL1 enhancers likely contribute to the heterogeneity of CLOCK:BMAL1 transcriptional output. While CLOCK:BMAL1 rhythmic DNA binding promotes rhythmic nucleosome removal, it is not sufficient to generate transcriptionally active enhancers as assessed by H3K27ac signal, RNA Polymerase II recruitment, and eRNA expression. Instead, the transcriptional activity of CLOCK:BMAL1 enhancers appears to rely on the activity of ubiquitously expressed transcription factors, and not tissue-specific transcription factors, recruited at nearby binding sites. The contribution of other transcription factors is exemplified by how fasting, which effects several transcription factors but not CLOCK:BMAL1, either decreases or increases the amplitude of many rhythmically expressed CLOCK:BMAL1 target genes. Together, our analysis suggests that CLOCK:BMAL1 promotes a transcriptionally permissive chromatin landscape that primes its target genes for transcription activation rather than directly activating transcription, and provides a new framework to explain how environmental or pathological conditions can reprogram the rhythmic expression of clock-controlled genes.


Asunto(s)
Factores de Transcripción ARNTL/fisiología , Proteínas CLOCK/fisiología , Relojes Circadianos/genética , Regulación de la Expresión Génica , Transcripción Genética , Factores de Transcripción ARNTL/metabolismo , Animales , Sitios de Unión/genética , Proteínas CLOCK/metabolismo , Ritmo Circadiano/genética , Elementos de Facilitación Genéticos/genética , Ratones , Unión Proteica
4.
Cell Rep ; 27(3): 649-657.e5, 2019 04 16.
Artículo en Inglés | MEDLINE | ID: mdl-30995463

RESUMEN

Every mammalian tissue exhibits daily rhythms in gene expression to control the activation of tissue-specific processes at the most appropriate time of the day. Much of this rhythmic expression is thought to be driven cell autonomously by molecular circadian clocks present throughout the body. By manipulating the daily rhythm of food intake in the mouse, we here show that more than 70% of the cycling mouse liver transcriptome loses rhythmicity under arrhythmic feeding. Remarkably, core clock genes are not among the 70% of genes losing rhythmic expression, and their expression continues to exhibit normal oscillations in arrhythmically fed mice. Manipulation of rhythmic food intake also alters the timing of key signaling and metabolic pathways without altering the hepatic clock oscillations. Our findings thus demonstrate that systemic signals driven by rhythmic food intake significantly contribute to driving rhythms in liver gene expression and metabolic functions independently of the cell-autonomous hepatic clock.


Asunto(s)
Relojes Circadianos/genética , Ingestión de Alimentos , Hígado/metabolismo , Factores de Transcripción ARNTL/deficiencia , Factores de Transcripción ARNTL/genética , Factores de Transcripción ARNTL/metabolismo , Animales , Conducta Animal , Glucemia/análisis , Regulación de la Expresión Génica , Insulina/administración & dosificación , Lipogénesis , Masculino , Redes y Vías Metabólicas/genética , Ratones , Ratones Endogámicos C57BL , Ratones Noqueados , Proteína Quinasa 1 Activada por Mitógenos/metabolismo , Proteína Quinasa 3 Activada por Mitógenos/metabolismo , Serina-Treonina Quinasas TOR/metabolismo
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