Gene expression profiling in brain of sleep-deprived and fear conditioned zebrafish groups
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ABSTRACT:
ORGANISM(S): Danio rerio
PROVIDER: GSE128217 | GEO | 2019/03/14
REPOSITORIES: GEO
Similar Datasets
Project description:Gene expression profiling in brain of sleep-deprived and fear conditioned zebrafish groups
| PRJNA526828 | ENA
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:This study examines the relationship between sleep apnea and glucose metabolism. Physiological studies have demonstrated that 5 days of exposure to intermittent hypoxia (similar to what occurs with sleep apnea) leads to significant improvements in glucose tolerance. Therefore, this study investigates the hypothesis that intermittent hypoxia may lead to upregulation of some novel peptide(s) that have a powerful glucose lowering action. Keywords: other
2003-07-16 | GSE480 | GEO
Project description:Study objectives: Acute sleep deprivation affects both central and peripheral biological processes. Prior research has mainly focused on specific proteins or biological pathways that are dysregulated in the setting of sustained wakefulness. This pilotexploratory study’s objective wasaimed to provide a comprehensive view of the biological processes and proteins impacted by acute sleep deprivation in both plasma and cerebrospinal fluid (CSF). Methods: We collected plasma and CSF from human participants during one night of sleep deprivation and control normal sleep conditions. 1300 proteins were measured at hour 0 and hour 24 using a high-scale aptamer-based proteomics platform (SOMAomascan) and a systematics biological database tool (Metascape) was used to reveal dysregulated biological pathways. Results: Acute sleep deprivation lead to opposite effects in plasma and CSF, decreasingdecreased the number of upregulated and downregulated differential protein expression and biological pathways and proteins in plasma but increased upregulated and downregulated protein and biological pathwayssing them in CSF. Predominantly affected pProteins and n pathways were associated with that were predominantly affected by sleep deprivation included immune response, inflammation, phosphorylation, membrane signaling, cell-cell adhesion, and extracellular matrix organization. Conclusions: The identified modification across biofluids adds to evidence that acute sleep deprivation has important impacts on biological pathways and proteins that can negatively affect human health. As a hypothesis-driving study, these findings may help with the exploration of novel mechanisms that mediate sleep loss and associated conditions, drive the discovery of new sleep loss biomarkers, and ultimately aid in the identification of new targets for intervention to human diseases.
2023-12-14 | GSE244817 | GEO
Project description:Post-learning sleep plays an important role in hippocampal memory processing, including contextual fear memory (CFM) consolidation. Here, we used targeted recombination in activated populations (TRAP) to label context-encoding engram neurons in the hippocampal dentate gyrus (DG) and assessed reactivation of these neurons during post-learning sleep. We find that post-learning sleep deprivation (SD), which impairs CFM consolidation, selectively disrupts reactivation in inferior blade DG engram neurons. This change was linked to more general suppression of neuronal activity markers in the inferior, but not superior, DG blade by SD. To further characterize how learning and subsequent sleep or SD affect these (and other) hippocampal subregions, we used subregion-specific spatial profiling of transcripts and proteins. We found that transcriptomic responses to sleep loss differed greatly between hippocampal regions CA1, CA3, and DG inferior blade, superior blade, and hilus. Critically, learning-driven transcriptomic changes, measured 6 h following contextual fear learning, were limited to the two DG blades, differed dramatically between the blades, and were absent from all other regions. Similarly, protein abundance in these hippocampal subregions were differentially impacted by sleep vs. SD and by prior learning, with the majority of alterations to protein expression restricted to DG. Together, these data suggest that the DG plays an essential role in the consolidation of hippocampal memories, and that the effects of sleep and sleep loss on the brain are highly subregion-specific, even within the DG itself.
2024-03-01 | GSE229081 | GEO
Project description:Post-learning sleep plays an important role in hippocampal memory processing, including contextual fear memory (CFM) consolidation. Here, we used targeted recombination in activated populations (TRAP) to label context-encoding engram neurons in the hippocampal dentate gyrus (DG) and assessed reactivation of these neurons during post-learning sleep. We find that post-learning sleep deprivation (SD), which impairs CFM consolidation, selectively disrupts reactivation in inferior blade DG engram neurons. This change was linked to more general suppression of neuronal activity markers in the inferior, but not superior, DG blade by SD. To further characterize how learning and subsequent sleep or SD affect these (and other) hippocampal subregions, we used subregion-specific spatial profiling of transcripts and proteins. We found that transcriptomic responses to sleep loss differed greatly between hippocampal regions CA1, CA3, and DG inferior blade, superior blade, and hilus. Critically, learning-driven transcriptomic changes, measured 6 h following contextual fear learning, were limited to the two DG blades, differed dramatically between the blades, and were absent from all other regions. Similarly, protein abundance in these hippocampal subregions were differentially impacted by sleep vs. SD and by prior learning, with the majority of alterations to protein expression restricted to DG. Together, these data suggest that the DG plays an essential role in the consolidation of hippocampal memories, and that the effects of sleep and sleep loss on the brain are highly subregion-specific, even within the DG itself.
2024-03-01 | GSE229080 | GEO
Project description:The hippocampus is essential for consolidating transient experiences into long-lasting memories. Memory consolidation is facilitated by postlearning sleep, although the underlying cellular mechanisms are largely unknown. We took an unbiased approach to this question by using a mouse model of hippocampally mediated, sleep-dependent memory consolidation (contextual fear memory). Because synaptic plasticity is associated with changes to both neuronal cell membranes (e.g., receptors) and cytosol (e.g., cytoskeletal elements), we characterized how these cell compartments are affected by learning and subsequent sleep or sleep deprivation (SD). Translating ribosome affinity purification was used to profile ribosome-associated RNAs in different subcellular compartments (cytosol and membrane) and in different cell populations (whole hippocampus, Camk2a+ neurons, or highly active neurons with phosphorylated ribosomal subunit S6 [pS6+]). We examined how transcript profiles change as a function of sleep versus SD and prior learning (contextual fear conditioning; CFC). While sleep loss altered many cytosolic ribosomal transcripts, CFC altered almost none, and CFC-driven changes were occluded by subsequent SD. In striking contrast, SD altered few transcripts on membrane-bound (MB) ribosomes, while learning altered many more (including long non-coding RNAs [lncRNAs]). The cellular pathways most affected by CFC were involved in structural remodeling. Comparisons of post-CFC MB transcript profiles between sleeping and SD mice implicated changes in cellular metabolism in Camk2a+ neurons and protein synthesis in highly active pS6+ (putative "engram") neurons as biological processes disrupted by SD. These findings provide insights into how learning affects hippocampal neurons and suggest that the effects of SD on memory consolidation are cell type and subcellular compartment specific.
2022-10-25 | GSE216163 | GEO
Project description:To assess the effect of sleep deprivation on glucose metabolism and elucidate the mechanism, we established the mouse model wth C57BL/6J that is useful for the intervention on sleep deprivation associated diabetes and evaluate the liver metabolism and gene expression. Single six hours sleep deprivation induced increased hepatic glucose production assessed by pyruvate tolerance test and the hepatic triglyceride content was significantly higher in the sleep deprivation group than freely sleeping control group. Liver metabolites such as ketone bodies were increased in sleep deprivation group. Some gene expressions which associated with lipogenesis were increased.
2016-12-27 | GSE92913 | GEO
Project description: Not available
| S-EPMC5526630 | biostudies-literature
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