Expression data of sleeping, waking, and sleep deprived adult heterozygous aldh1l1 – eGFP-L10a mice
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE69079 | GEO | 2015/07/08
SECONDARY ACCESSION(S): PRJNA284500
REPOSITORIES: GEO
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Project description:Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping versus awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is because the previous studies pooled transcripts from all brain cells, including neurons and glia. In the following experiment, we studied the specific effects of sleep and wake conditions on glia cells of mouse cerebral cortex using the genetically targeted translating ribosome affinity purification (TRAP) methodology. We used bacterial artificial chromosome (BAC) transgenic mice expressing EGFP tagged ribosomal protein L10a in oligodendrocytes which constitute a defined cellular population of the mouse brain. Using this approach, we could extract only the oligodendrocitic mRNAs, and only those already committed to be translated into proteins (L10a is part of the translational machinery).
2013-08-20 | GSE48369 | GEO
Project description:Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping versus awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is because the previous studies pooled transcripts from all brain cells, including neurons and glia. In the following experiment, we studied the specific effects of sleep and wake conditions on glia cells of mouse cerebral cortex using the genetically targeted translating ribosome affinity purification (TRAP) methodology. We used bacterial artificial chromosome (BAC) transgenic mice expressing EGFP tagged ribosomal protein L10a in oligodendrocytes which constitute a defined cellular population of the mouse brain. Using this approach, we could extract only the oligodendrocitic mRNAs, and only those already committed to be translated into proteins (L10a is part of the translational machinery). Six mice for each vigilant state group (sleep (S), waking (W), and sleep deprivation (SD)) were considered. For each animal, one forebrain sample was immediately processed. Samples were immunoprecipitated to isolate oligodendrocytes. The precipitated portion formed the bound sample (IP) containing olidodendrocytes and the remaining part formed the unbound sample (UB) containing all the remaining cell types (neurons and other glia cells). Then, both IP and UB samples were processed and RNA was extracted.
2013-08-20 | E-GEOD-48369 | biostudies-arrayexpress
Project description:Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping versus awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is because the previous studies pooled transcripts from all brain cells, including neurons and glia. In the following experiment, we studied the specific effects of sleep and wake conditions on glia cells of mouse cerebral cortex using the genetically targeted translating ribosome affinity purification (TRAP) methodology. We used bacterial artificial chromosome (BAC) transgenic mice expressing EGFP tagged ribosomal protein L10a in astrocytes which constitute a defined cellular population of the mouse brain. Using this approach, we could extract only the astrocytic mRNAs, and only those already committed to be translated into proteins (L10a is part of the translational machinery). Six mice for each vigilant state group (sleep (S), waking (W), and sleep deprivation (SD)) were considered. For each animal, cerebral cortex was dissected and immediately processed. Samples were immunoprecipitated to isolate astrocytes. The precipitated portion formed the bound sample (IP) containing astrocytes and the remaining part formed the unbound sample (UB) containing all the remaining cell types (neurons and other glia cells). Then, both IP and UB samples were processed and RNA was extracted. All the IP samples (n=18) were then hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 arrays, while UB samples were pooled together in two biological replicates (UB1+UB2+UB3 and UB4+UB5+UB6) for each group (n=6 in total) and then hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 arrays.
2015-07-08 | E-GEOD-69079 | biostudies-arrayexpress
Project description:Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping relative to awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is probably because the previous studies pooled transcripts from all brain cells, including neurons and glia. In Bellesi et al. 2015 [1], we used the translating ribosome affinity purification technology (TRAP) and microarray analysis to obtain a genome-wide mRNA profiling of astrocytes as a function of sleep and wake. We used bacterial artificial chromosome (BAC) transgenic mice expressing eGFP tagged ribosomal protein L10a under the promoter of the Aldh1L1 gene, a highly expressed astrocytic gene. Using this approach, we could extract only the astrocytic mRNAs, and only those already committed to be translated into proteins (L10a is part of the translational machinery). Here, we report a detailed description of the protocol used in the study [1]. Array data have been submitted to NCBI GEO under accession number (GSE69079).
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2019-03-04 | GSE124693 | GEO
Project description:Homeostatic scaling is a global form of synaptic plasticity used by neurons to adjust overall synaptic weight and maintain neuronal firing rates while protecting information coding. While homeostatic scaling has been demonstrated in vitro, a clear physiological function of this plasticity type has not been defined. Sleep is an essential process that modifies synapses to support cognitive functions such as learning and memory. Evidence suggests that information coding during wake drives synapse strengthening which is offset by weakening of synapses during sleep .Here we use biochemical fractionation, proteomics and in vivo two-photon imaging to characterize wide-spread changes in synapse composition in mice through the wake/sleep cycle. We find that during the sleep phase, synapses are weakened through dephosphorylation and removal of synaptic AMPA-type glutamate receptors (AMPARs) driven by the immediate early gene Homer1a and signaling from group I metabotropic glutamate receptors (mGluR1/5), consistent with known mechanisms of homeostatic scaling-down in vitro. Further, we find that these changes are important in the consolidation of contextual memories. While Homer1a gene expression is driven by neuronal activity during wake, Homer1a protein targeting to synapses serves as an integrator of arousal and sleep need through signaling by the wake-promoting neuromodulator noradrenaline (NA) and sleep-promoting modulator adenosine. During sleep or periods of increased sleep need Homer1a enters synapses where it remodels mGluR1/5 signaling complexes to promote AMPAR removal. Thus, we have characterized widespread changes occurring at synapses through the wake/sleep cycle and demonstrated that known mechanisms of homeostatic scaling-down previously demonstrated only in vitro are active in the brain during sleep to remodel synapses, contributing to memory consolidation.
2017-02-13 | PXD004537 | Pride
Project description:The sleep-wake cycle is determined by a circadian and a sleep homeostatic process. However, the molecular impact of these two processes and their interaction on different cell populations in the brain remain unknown. To fill this gap, we have profiled the single-cell transcriptome of adult fruit fly brains across the sleep-wake cycle and different circadian times. We show cell type-specific transcriptomic changes between sleep/wakefulness states, different levels of sleep drive, and varying circadian times, with glial cells displaying the largest variations. Furthermore, the cell types whose transcriptomic dynamics correlate with the sleep homeostat or circadian clock are largely non-overlapping, with the exception of glial cells. Diminishing the circadian clock only in glial cells impairs the homeostatic sleep rebound after sleep deprivation. These findings reveal a comprehensive picture of different effects of sleep homeostatic and circadian processes on different cell types and define glial cells as the interaction sites of these two processes to determine sleep-wake dynamics.
2023-11-29 | GSE221239 | GEO
Project description:The circadian clock drives daily changes of physiology, including sleep-wake cycles, by regulating transcription, protein abundance and function. Circadian phosphorylation controls cellular processes in peripheral organs, but little is known about its role in brain function and synaptic activity. We applied advanced quantitative phosphoproteomics to mouse forebrain synaptoneurosomes isolated across 24h, accurately quantifying almost 8,000 phosphopeptides. Remarkably, half of the synaptic phosphoproteins, including numerous kinases, had large-amplitude rhythms peaking at rest-activity and activity-rest transitions. Bioinformatic analyses revealed global temporal control of synaptic function via phosphorylation, including synaptic transmission, cytoskeleton reorganization and excitatory/inhibitory balance. Remarkably, sleep deprivation abolished 98% of all phosphorylation cycles in synaptoneurosomes, indicating that sleep-wake cycles rather than circadian signals are main drivers of synaptic phosphorylation, responding to both sleep and wake pressures.
2019-10-14 | PXD010697 | Pride
Project description:To address whether changes in gene expression in blood cells with sleep loss are different in individuals resistant and sensitive to sleep deprivation (SD). Blood draws every 4 hours during a 3-day study: 24-hour normal baseline, 38 hours of continuous wakefulness and subsequent recovery sleep, for a total of 19 time-points per subject, with every 2-hr psychomotor vigilance test (PVT) assessment when awake. Fourteen subjects who were previously identified as behaviourally resistant (n=7) or sensitive (n=7) to SD by PVT. Intervention consisted of 38 hours continuous wakefulness. We found 4,481 unique genes with a significant 24-hour diurnal rhythm during a normal sleep-wake cycle in blood (false discovery rate [FDR] <5%). Biological pathways were enriched for biosynthetic processes during sleep. After accounting for circadian effects, two genes (SREBF1 and CPT1A, both involved in lipid metabolism) exhibited small, but significant, linear changes in expression with the duration of SD (FDR<5%). The main change with SD was a reduction in the amplitude of the diurnal rhythm of expression of normally cycling probe sets. This reduction was noticeably higher in behaviourally resistant subjects than sensitive subjects, at any given p-value. Furthermore, blood cell type enrichment analysis showed that the expression pattern difference between sensitive and resistant subjects is mainly found in cells of myeloid origin, such as monocytes. Individual differences in behavioural effects of sleep deprivation are associated with differences in diurnal amplitude of gene expression for genes that show circadian rhythmicity. Blood draws were done every 4 hours during a 3-day (+1 baseline day) study: 24-hour normal baseline (6 time points: day 1 8hr, 12hr, 16hr, 20hr, day 2 0hr, 4hr), 38 hours of continuous wakefulness (10 time points: day 2 8hr, 12hr, 16hr, 20hr, day 3 0hr, 4hr, 8hr, 12hr, 16hr, 20hr) and subsequent recovery sleep (3 time points: day 4 0hr, 4hr, 8hr), for a total of 19 time-points per subject, with every 2-hr psychomotor vigilance test (PVT) assessment when awake. The missing/failed samples were as following: Resistant subjects (total 10 samples): BH006 day 2 20hr, 12hr, BH003 day 2 12hr, 4hr, BH003 day 3 4hr, BH008 day 4 0hr, BH008 day 1 16hr, BH008 day 3 16hr 20hr, BH010 day 4 0hr; Sensitive subjects (total 7 samples): BH004 day 2 12hr and 1 more missing sample, BH026 day 2 4hr, BH007 day 2 20hr and 1 more missing sample, BH016 day 2 4hr, BH015 day 3 0hr.
2014-10-02 | E-GEOD-56931 | biostudies-arrayexpress