Simultaneous recording revealed differentially phased circadian rhythms in spontaneous firing and clock gene Per1 expression in the mouse suprachiasmatic nucleus

2011 ◽  
Vol 71 ◽  
pp. e168
Author(s):  
Daisuke Ono ◽  
Sato Honma ◽  
Ken-ichi Honma
2009 ◽  
Vol 29 (3) ◽  
pp. 477-489 ◽  
Author(s):  
Nariman Ansari ◽  
Manuel Agathagelidis ◽  
Choogon Lee ◽  
Horst-Werner Korf ◽  
Charlotte von Gall

Author(s):  
Rae Silver

We live in an approximately 24-hour world and circadian rhythms have evolved to adapt organisms to the opportunities presented by Earth’s 24-hour cycle of light and dark. A “master clock” located in the suprachiasmatic nucleus (SCN) of the brain orchestrates daily rhythms in all manner of behavioral, endocrine, metabolic, autonomic, and homeostatic systems in our bodies. The SCN is comprised of about 20,000 neurons and about one third as many astroglia. How can so few neurons and astroglia guide so many rhythms? How do neurons time out an interval as long as a day? The answers are a case study in understanding how genes within cells, and cells within circuits, function together to perform complex activities and optimize bodily functions. While individual clock cells are found in virtually all bodily tissues, the unique connectome of the SCN, its specialized afferent inputs from the retinohypothalamic tract, and its neural and humoral outputs enable its “babel” of neuronal types to synchronize their activity and signal time to the rest of the body. At the molecular-cellular level, circadian rhythms are regulated by a 24-hour transcriptional–translational feedback loop. At the SCN tissue level, individual SCN neurons coordinate their gene expression and electrical activity, working together in circuits that sustain coherent rhythms. The SCN has many distinct cell types based on their neurotransmitters, neuropeptides, and afferent and efferent connections. There has been much progress in unraveling the dynamic network organization that underlies the SCN network’s communications. Though the precise anatomical connections underlying interneuronal communication in the SCN are not completely understood, key signaling mechanisms that sustain the SCN’s intrinsic rhythmicity have been tackled using intersectional genomic tools. Transgenic animals that permit the visualization of clock gene–protein expression have enabled analysis of SCN network activity over time. Availability of animals bearing mutations in clock genes or proteins enable the determination of changes within neurons, among neurons in networks, and their impact on behavior. The use of continuous readouts of circadian activity that track behavior, or clock gene expression, or electrical activity changes over time, within an SCN or a single neuron, leads the way to unraveling mechanisms sustaining the circadian timing system. Because the results of circadian studies generate huge amounts of data, the entry of mathematical modelers and statisticians into the field has begun to yield useful and testable predictions on how these multiplexed systems work to adapt to our 24-hour world.


Science ◽  
2021 ◽  
Vol 372 (6539) ◽  
pp. eabf1941
Author(s):  
Sandipan Ray ◽  
Utham K. Valekunja ◽  
Alessandra Stangherlin ◽  
Steven A. Howell ◽  
Ambrosius P. Snijders ◽  
...  

Abruzzi et al. argue that transcriptome oscillations found in our study in the absence of Bmal1 are of low amplitude, statistical significance, and consistency. However, their conclusions rely solely on a different statistical algorithm than we used. We provide statistical measures and additional analyses showing that our original analyses and observations are accurate. Further, we highlight independent lines of evidence indicating Bmal1-independent 24-hour molecular oscillations.


Science ◽  
2021 ◽  
Vol 372 (6539) ◽  
pp. eabe9230 ◽  
Author(s):  
Elan Ness-Cohn ◽  
Ravi Allada ◽  
Rosemary Braun

Ray et al. (Reports, 14 February 2020, p. 800) report apparent transcriptional circadian rhythms in mouse tissues lacking the core clock component BMAL1. To better understand these surprising results, we reanalyzed the associated data. We were unable to reproduce the original findings, nor could we identify reliably cycling genes. We conclude that there is insufficient evidence to support circadian transcriptional rhythms in the absence of Bmal1.


2008 ◽  
Vol 23 (4) ◽  
pp. 308-318 ◽  
Author(s):  
Yoshiyuki Moriyama ◽  
Tomoaki Sakamoto ◽  
Svetlana G. Karpova ◽  
Akira Matsumoto ◽  
Sumihare Noji ◽  
...  

Hypertension ◽  
2017 ◽  
Vol 70 (suppl_1) ◽  
Author(s):  
Tianfei Hou ◽  
Wen Su ◽  
Ming C Gong ◽  
Zhenheng Guo

Db/db mouse, which lacks functional leptin receptor, is an extensively used model of obesity and type 2 diabetes. We and others have demonstrated that db/db mouse has disruptions in circadian rhythms of behavior, physiology and some clock genes. However, systemic investigations of the alterations in clock gene oscillations in multiple systems with high time resolution in this model are impeded by the impractical demand for large number of animals. To overcome this limitation, we cross bred the db/db mouse with mPer2 Luc mouse in which the clock gene Period2 is fused with a luciferase reporter thus allow real-time monitoring of the clock gene Per2 oscillations. The generated db/db-mPer2 Luc mice had the typical diabetic mellitus including obesity, hyperglycemia, hyperinsulinemia, glucose intolerance and insulin resistance. In addition, the db/db-mPer2 Luc mice also exhibited disruptions in circadian rhythms in behavior (locomotor activity), physiology (blood pressure) and metabolism (respiratory exchange ratio and energy expenditure). Using the LumiCycle system, we monitored in real-time of the Per2 oscillations in both the SCN central clock and multiple peripheral tissues ex vivo . The results showed no difference in the phase of the central SCN Per2 oscillation. However, the peripheral tissues that related to metabolism, such as liver and white adipose clocks, displayed 3.28±0.86 and 4.64±1.06 hours of phase advance respectively. Aorta, mesentery artery and kidney, organs play important role in blood pressure homeostasis, showed 0.99±0.37, and 2.12±0.4, and 2.21±0.5 hours phase advance respectively. Interestingly, no difference was observed in the lung and adrenal gland. We then investigated the Per2 oscillation in vivo by using the IVIS imaging system. Consistent with the ex vivo results, the liver Per2 oscillation were phase advanced in vivo. Our findings demonstrated that clock gene Per2 oscillations were disrupted in multiple peripheral tissues but not in central SCN. Moreover, the extent of phase advance in peripheral tissue varies largely. Our results suggest dyssynchrony of the clock oscillations among various peripheral systems likely contribute to the multiple disruptions in physiology and metabolism in diabetic db/db mice.


2007 ◽  
Vol 7 ◽  
pp. 203-212 ◽  
Author(s):  
Ann E. K. Kosobud ◽  
Andrea G. Gillman ◽  
Joseph K. Leffel ◽  
Norman C. Pecoraro ◽  
G. V. Rebec ◽  
...  

Circadian rhythms prepare organisms for predictable events during the Earth's 24-h day. These rhythms are entrained by a variety of stimuli. Light is the most ubiquitous and best known zeitgeber, but a number of others have been identified, including food, social cues, locomotor activity, and, most recently drugs of abuse. Given the diversity of zeitgebers, it is probably not surprising that genes capable of clock functions are located throughout almost all organs and tissues. Recent evidence suggests that drugs of abuse can directly entrain some circadian rhythms. We have report here that entrainment by drugs of abuse is independent of the suprachiasmatic nucleus and the light/dark cycle, is not dependent on direct locomotor stimulation, and is shared by a variety of classes of drugs of abuse. We suggest that drug-entrained rhythms reflect variations in underlying neurophysiological states. This could be the basis for known daily variations in drug metabolism, tolerance, and sensitivity to drug reward. These rhythms could also take the form of daily periods of increased motivation to seek and take drugs, and thus contribute to abuse, addiction and relapse.


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