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Expression profile of adult mouse POA/BF regions

ABSTRACT: The adult mammalian brain is composed of distinct regions that have specialized roles. The BF/POA regions are thought to have an important role in the regulation of sleep/wake behavior. However, genetic markers of the responsible cells for the regulation of sleep/wake behavior are largely unknown. To identify the molecular markers of the BF/POA regions, we sampled the BF/POA regions and compared gene expression in the BF/POA regions with those of other brain regions which we previously reported in the BrainStars (B*) project, in which we sampled ~50 small brain regions, including sensory centers and centers for motion, time, memory, fear, and feeding. We sampled each region every 4 hours for 24 hours, and pooled the sample sets for DNA-microarray assays. We then used informatics to identify candidates for genes with high or low expression in the BF/POA regions. We used our findings to develop an integrated database (http://poabf.brainstars.org/) for exploring genome-wide expression in the adult mouse brain including the BF/POA regions.

ORGANISM(S): Mus musculus

PROVIDER: GSE107500 | GEO | 2018/08/17

REPOSITORIES: GEO

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Project description:Although at the organismal level sleep is defined as a behavioral state, at the level of the cerebral cortex sleep has a distinct local and use-dependent aspect. This observation raises the question whether sleep is a functional property of a complex brain or occurs at the level of neuronal assemblies with populations that were active more during wakefulness needing more intense sleep to recover. Here we show that primary cortical cultures have the capacity to change between sleep- and wake-like states that share key signatures with their in vivo counterparts. Cortical cultures initially exhibit random firing activity that is gradually replaced by a M-bM-^@M-^\sleep-likeM-bM-^@M-^] synchronized burst-pause firing activity as neurons mature and make connections. When stimulated with excitatory neurotransmitters, transient tonic firing is observed, followed by the reappearance of a M-bM-^@M-^\sleep-likeM-bM-^@M-^] state. Besides electrophysiological similarities also the transcriptional profile of stimulated cortical cultures greatly resembles that of the cortex of sleep deprived animals. We then used our in vitro model to map the metabolic pathways activated by the M-bM-^@M-^\wake-likeM-bM-^@M-^] state and found evidence for increased lysolipid release, strongly suggesting that sleep plays a role in neuronal membrane homeostasis. With our in vitro model the cellular and molecular consequences of sleep loss and the genetic determinants of disturbed sleep can now be investigated in a dish. Keywords: stress response For the in vivo transcriptome analyses mice were sleep deprived for 6 hours and brain harvested immediately afterwards. For the in vitro analyses, cortical cultures were stimulated with a neurotransmitter cocktail and cells harvested 3 hours afterwards. Control mice were kept undisturbed in their home cage and control cultures were sham stimulated with water. Also, another set of sleep deprived mice as well as stimulated cultures were allowed to recover before being sampled the next day at the time of day at which sleep deprivation or stimulation started the day before).

Project description:This a model from the article: A quantitative model of sleep-wake dynamics based on the physiology of the brainstem ascending arousal system. Phillips AJ, Robinson PA. J Biol Rhythms 2007 Apr;22(2):167-79 17440218 , Abstract: A quantitative, physiology-based model of the ascending arousal system is developed, using continuum neuronal population modeling, which involves averaging properties such as firing rates across neurons in each population. The model includes the ventrolateral preoptic area (VLPO), where circadian and homeostatic drives enter the system, the monoaminergic and cholinergic nuclei of the ascending arousal system, and their interconnections. The human sleep-wake cycle is governed by the activities of these nuclei, which modulate the behavioral state of the brain via diffuse neuromodulatory projections. The model parameters are not free since they correspond to physiological observables. Approximate parameter bounds are obtained by requiring consistency with physiological and behavioral measures, and the model replicates the human sleep-wake cycle, with physiologically reasonable voltages and firing rates. Mutual inhibition between the wake-promoting monoaminergic group and sleep-promoting VLPO causes ;;flip-flop'' behavior, with most time spent in 2 stable steady states corresponding to wake and sleep, with transitions between them on a timescale of a few minutes. The model predicts hysteresis in the sleep-wake cycle, with a region of bistability of the wake and sleep states. Reducing the monoaminergic-VLPO mutual inhibition results in a smaller hysteresis loop. This makes the model more prone to wake-sleep transitions in both directions and makes the states less distinguishable, as in narcolepsy. The model behavior is robust across the constrained parameter ranges, but with sufficient flexibility to describe a wide range of observed phenomena. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Phillips AJ, Robinson PA. (2007) - version=1.0 The original CellML model was created by: Catherine Lloyd c.lloyd@auckland.ac.nz The University of Auckland This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

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Expression profile of adult mouse POA/BF regions

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