Unknown,Transcriptomics,Genomics,Proteomics

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Identification of Sleep Regulatory Genes in Flies Mutant for the Clock Gene cycle

ABSTRACT: Extended periods of waking result in physiological impairments in humans, rats, and flies. Sleep homeostasis, the increase in sleep observed following sleep loss, is believed to counter the negative effects of prolonged waking by restoring vital biological processes that are degraded during sleep deprivation. Sleep homeostasis, as with other behaviors, is influenced by both genes and environment. We report here that during periods of starvation, flies remain spontaneously awake but, in contrast to sleep deprivation, do not accrue any of the negative consequences of prolonged waking. Specifically, the homeostatic response and learning impairments that are a characteristic of sleep loss are not observed following prolonged waking induced by starvation. To identify the genes responsible for the protective effects of starvation we conducted transcription profiling of sleep deprived flies that accrue sleep debt compared to starved siblings that do not. Genes involved in lipid metabolism were highly enriched in our dataset of 84 differentially regulated transcripts. Follow up genetic studies established that 6 genes involved in lipid metabolism strongly influence sleep homeostasis. Two of these genes, brummer (bmm) and Lipid storage droplet 2 (Lsd2), are in the same lipolysis pathway but exert antagonistic effects on lipid storage. bmm mutant flies have excess fat stores and display a large homeostatic response following sleep deprivation. In contrast, Lsd2 mutant flies, which phenocopy aspects of starvation as measured by low triglyceride stores, do not exhibit a homeostatic response following sleep loss. Importantly, Lsd2 mutant flies are not learning impaired after sleep deprivation. These results provide the first genetic evidence, to our knowledge, that lipid metabolism plays an important role in regulating the homeostatic response and can protect against neuronal impairments induced by prolonged waking. Two-condition experiments: sleep deprived vs starved. RNA from 8 biological replicates for each condition was pooled in groups of 2 to create 4 samples. Each of the 4 samples is run in duplicate with untreated circadian matched controls.

ORGANISM(S): Drosophila melanogaster

SUBMITTER: Paul Shaw

PROVIDER: E-GEOD-18550 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Although the specific functions of sleep have not been completely elucidated, the literature has suggested that sleep is essential for proper homeostasis. Sleep loss is associated with changes in behavioral, neurochemical, cellular, and metabolic functions as well as impaired immune response. We evaluated the gene expression profiles of healthy volunteers submitted to 48 hours of prolonged wakefulness (PW) followed by 12 hours of sleep recovery (SR) using high-resolution microarrays. Peripheral whole blood was collected in the morning before the initiation of sleep deprivation (baseline), after the second night of PW, and one night after SR. the identified differentially expressed genes were related to immune response, DNA damage and repair as well as inflammation. Examples of these include: killer cell lectin-like receptors family granzymes and T-cell receptors, which play important roles in host defense. These results support the idea that sleep loss can lead to alteration of molecular processes that drive perturbation of cellular immunity, induction of inflammatory response and homeostatic imbalance. Moreover, down-regulation of multiple genes after prolonged wakefulness (in comparison with baseline condition) and up-regulated after sleep recovery (in comparison with prolonged wakefulness condition) were observed, suggesting an attempt of the body to re-establish internal homeostasis. In silico validation of alterations in the expression of CETN3, DNAJC, IGFR2B and CEACAM genes, confirmed the previous findings related to the molecular effects of sleep deprivation. It is clear that confirmatory studies will be necessary to fully validate the potential candidate genes and functional networks identified. Nevertheless, the present findings confirm that the effects of sleep deprivation are not restricted to the brain and can occur intensely in peripheral tissues. The peripheral blood from each volunteer (nine individuals) were collected in the baseline night and every morning after PW and after the night of SR.

Project description:This a model from the article: Sleep deprivation in a quantitative physiologically based model of the ascending arousal system. Phillips AJ, Robinson PA. J Theor Biol 2008 Dec 21;255(4):413-23 18805427 , Abstract: A physiologically based quantitative model of the human ascending arousal system is used to study sleep deprivation after being calibrated on a small set of experimentally based criteria. The model includes the sleep-wake switch of mutual inhibition between nuclei which use monoaminergic neuromodulators, and the ventrolateral preoptic area. The system is driven by the circadian rhythm and sleep homeostasis. We use a small number of experimentally derived criteria to calibrate the model for sleep deprivation, then investigate model predictions for other experiments, demonstrating the scope of application. Calibration gives an improved parameter set, in which the form of the homeostatic drive is better constrained, and its weighting relative to the circadian drive is increased. Within the newly constrained parameter ranges, the model predicts repayment of sleep debt consistent with experiment in both quantity and distribution, asymptoting to a maximum repayment for very long deprivations. Recovery is found to depend on circadian phase, and the model predicts that it is most efficient to recover during normal sleeping phases of the circadian cycle, in terms of the amount of recovery sleep required. The form of the homeostatic drive suggests that periods of wake during recovery from sleep deprivation are phases of relative recovery, in the sense that the homeostatic drive continues to converge toward baseline levels. This undermines the concept of sleep debt, and is in agreement with experimentally restricted recovery protocols. Finally, we compare our model to the two-process model, and demonstrate the power of physiologically based modeling by correctly predicting sleep latency times following deprivation from experimental data. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Phillips AJ, Robinson PA. (2008) - 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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Identification of Sleep Regulatory Genes in Flies Mutant for the Clock Gene cycle

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