The human blood transcriptome following sleep extension and sleep restriction: Heterozygote samples
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE82114 | GEO | 2017/02/08
SECONDARY ACCESSION(S): PRJNA324076
REPOSITORIES: GEO
Similar Datasets
Project description:In a cross balanced design human subjects were given one week of sufficient sleep and insufficient sleep (6 h per day). Following each of these conditions they were then kept awake for a day, a night and the subsequent day. During each of these periods of extended wakefulness 10 blood samples were taken, RNA was extracted from leukocytes, labelled and hybridised to human whole-genome microarrays
2013-02-27 | GSE39445 | GEO
Project description:In a cross balanced design human subjects were given one week of sufficient sleep and insufficient sleep (6 h per day). Following each of these conditions they were then kept awake for a day, a night and the subsequent day. During each of these periods of extended wakefulness 10 blood samples were taken, RNA was extracted from leukocytes, labelled and hybridised to human whole-genome microarrays A total of 427 samples comprising 26 human subjects, for which 20 samples across multiple time-points/sleep condition were collected. We have focussed on two genotypes related to the variable number tandem repeat (VNTR) polymorphism of the circadian gene PERIOD3 (PER3): a 4-repeat VNTR allele of PER3 (PER3(4/4)) and a 5-repeat VNTR allele of PER3 (PER3(5/5)).
2013-02-27 | E-GEOD-39445 | biostudies-arrayexpress
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
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.
2012-05-01 | E-GEOD-37667 | biostudies-arrayexpress
Project description:Every day, we sleep for a third of the day. Sleep is important for cognition, brain waste clearance, metabolism, and immune responses. Homeostatic regulation of sleep is maintained by progressively rising sleep need during wakefulness, which then dissipates during sleep. The molecular mechanisms governing sleep are largely unknown. Here, we used a combination of single-cell RNA sequencing and cell-type specific proteomics to interrogate the molecular and functional underpinnings of sleep. Different cell-types in the brain regions show similar transcriptional response to sleep need whereas sleep deprivation changes overall expression indicative of altered antigen processing, synaptic transmission and cellular metabolism in brainstem, cortex and hypothalamus, respectively. Increased sleep need enhances expression of transcription factor Sox2, Mafb, and Zic1 in brainstem; Hlf, Cebpb and Sox9 in cortex, and Atf3, Fosb and Mef2c in hypothalamus. Results from cell-type proteome analysis suggest that sleep deprivation changes abundance of proteins in cortical neurons indicative of altered synaptic vesicle cycles and glucose metabolism whereas in astrocytes it alters the abundance of proteins associated with fatty acid degradation. Similarly, phosphoproteomics of each cell type demonstrates large shifts in site-specific protein phosphorylation in neurons and astrocytes of sleep deprived mice. Our results indicate that sleep deprivation regulates transcriptional, translational and post-translational responses in a cell-specific manner and advances our understanding of the cellular and molecular mechanisms that govern sleep-wake homeostasis in mammals.
2022-10-13 | PXD018334 | 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.
2014-10-02 | GSE56931 | GEO
Project description:To gain insight into the dynamic molecular processes that are altered during prolonged wakefulness and during sleep. We performed an RNA expression profiling study examining temporal changes in the brain of Drosophila in relationship to the duration of prior sleep or wakefulness. Our experimental design allowed us to determine whether genes identified as differentially regulated between sleep and wakefulness were up- or down-regulated in these states. Because stimulation of the experimental animal during the normal sleep period is used to prolong wakefulness in most experimental paradigms, the interpretation of the effects of prolonged wakefulness is confounded by the effect of the perturbation stimulus itself on the animal’s biology. We controlled for this effect in our experimental paradigm by examining gene expression changes in response to identical stimulation but during the animal’s normal wakefulness. The design of our study also allowed us to control for circadian variation in gene expression, since we compared sleeping and sleep deprived flies at the same diurnal time. Keywords: sleep deprivation, time course, stress response
2006-02-27 | GSE4174 | GEO
Project description:Analysis of brain of Canton-S females deprived of sleep by perturbations during their normal sleep period. Perturbation effect also assessed during their active period to control for its effect during sleep deprivation. Results suggest processes altered during prolonged wakefulness and during sleep.
2007-07-06 | E-GEOD-4174 | biostudies-arrayexpress
Project description:Healthy human adults were recruited to a sleep lab at Washington State University and remained there 7 consecutive days. Six received a well-rested Control condition of 10 h Time-In-Bed (TIB) nightly. Another 11 subjects underwent Sleep Deprivation. They had a Baseline with 10 h TIB, followed by an Experimental phase of 62 h continued wakefulness, and finally two nights of 10 h TIB before dismissal. Blood draws on one Baseline day, one Experimental day, and one Recovery day were used for gene expression microarrays.
2018-04-10 | GSE98564 | GEO
Project description:Healthy human adults were recruited to a sleep lab at Washington State University and remained there 7 consecutive days. Six received a well-rested Control condition of 10 h Time-In-Bed (TIB) nightly. Another 11 subjects underwent Sleep Deprivation. They had a Baseline with 10 h TIB, followed by an Experimental phase of 62 h continued wakefulness, and finally two nights of 10 h TIB before dismissal. Blood draws on one Baseline day, one Experimental day, and one Recovery day were used for gene expression microarrays.
2018-04-10 | GSE98566 | GEO