Sleep is regulated by a homeostatic process that determines its need and by a circadian process that determines its timing. By using sleep deprivation and transcriptome profiling in inbred mouse strains, we show that genetic background affects susceptibility to sleep loss at the transcriptional level in a tissue-dependent manner. In the brain, Homer1a expression best reflects the response to sleep loss. Timecourse gene expression analysis suggests that 2,032 brain transcripts are under circadian control. However, only 391 remain rhythmic when mice are sleep-deprived at four time points around the clock, suggesting that most diurnal changes in gene transcription are, in fact, sleep-wake-dependent. By generating a transgenic mouse line, we show that in Homer1-expressing cells specifically, apart from Homer1a, three other activity-induced genes (Ptgs2, Jph3, and Nptx2) are overexpressed after sleep loss. All four genes play a role in recovery from glutamate-induced neuronal hyperactivity. The consistent activation of Homer1a suggests a role for sleep in intracellular calcium homeostasis for protecting and recovering from the neuronal activation imposed by wakefulness.homeostasis ͉ microarray ͉ mRNA tagging ͉ sleep deprivation ͉ sleep function T wo main processes regulate sleep. A homeostatic process regulates sleep need and intensity according to the time spent awake or asleep. A circadian process regulates the appropriate timing of sleep and wakefulness across the 24-h day. A highly reliable index of the homeostatic process is provided by the amplitude and prevalence of delta (1-to 4-Hz) oscillations in the electroencephalogram (EEG) of nonrapid eye movement (NREM) sleep (hereafter, ''delta power''). Delta power is high at sleep onset and decreases during sleep, in parallel with sleep depth. Sleep deprivations and naps induce a predictable increase or decrease, respectively, in delta power during subsequent sleep. The interaction between homeostatic and circadian processes is mathematically described in the two-process model of sleep regulation, which provides a framework for prediction and interpretation of a large body of experimental data (1).Among hypotheses concerning the physiological function of waking-induced changes in sleep, the most compelling suggests that sleep plays a key role in synaptic plasticity (2, 3). More specifically, EEG delta power during NREM sleep has been shown to play a critical role in learning-induced plasticity (4-6). In general, the prediction is that local neural activation due to specific behavioral (cognitive) demands imposes a burden on the brain which necessitates sleep and which is reflected by the EEG delta power.On the basis of mathematical modeling and experimental data, we have shown that sleep need, as indexed by the EEG delta power, is under genetic control (7), which is of direct relevance for explaining the interindividual vulnerability to sleep loss in human subjects (8, 9). However, deciphering the molecular bases of sleep need is rendered difficult because the contr...
