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600 results for “sex-specific”
Integrated chromatin and transcriptomic profiling reveals sex-specific mechanisms of gene regulation in hepatic nutrient responses
GEO Series GSE280621. Mus musculus. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Sex-Specific Astrocyte Regulation of Spinal Motor Circuits by Nkx6.1 [RNA-seq]
GEO Series GSE282689. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Sex-specific gene expression in the mouse heart
GEO Series GSE4793. Mus musculus. 8 samples. Type: Expression profiling by array.
Macrophage Lyn kinase is a Sex-Specific Regulator of Post-SAH Neuroinflammation
GEO Series GSE287635. Mus musculus. 24 samples. Type: Other.
Sex-specific gene expression in the human left ventricle
GEO Series GSE4795. Homo sapiens. 8 samples. Type: Expression profiling by array.
Sex-Specific Astrocyte Regulation of Spinal Motor Circuits by Nkx6.1 [Nkx6.1 ChIP-seq]
GEO Series GSE282687. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Transcript expression analysis of Drosophila melanogaster reveals sex-specific alternative splicing of qtc gene
GEO Series GSE180626. Drosophila melanogaster. 8 samples. Type: Expression profiling by high throughput sequencing.
Sex-specific expression during asexual development of Neurospora crassa under constant light condition
GEO Series GSE26209. Neurospora crassa. 26 samples. Type: Expression profiling by array.
Maternal folic acid overconsumption in mice leads to sex-specific transcriptional alterations in cerebral cortex in offspring
GEO Series GSE134588. Mus musculus. 14 samples. Type: Expression profiling by array.
Sex-specific Variation in Signaling Pathways and Gene Expression Patterns in Human Leukocytes in Response to Endotoxin and Exercise
GEO Series GSE83578. Homo sapiens. 64 samples. Type: Expression profiling by array.
Sex-specific gene expression profiles of Aedes aegypti 24 hr pupal heads
GEO Series GSE56521. Aedes aegypti. 12 samples. Type: Genome variation profiling by SNP array.
Multi-organ Gene Expression Dynamics and Network Modeling Reveals Sex-specific Shifts in Regulatory Control during the Development of Hypertension
GEO Series GSE227753. Rattus norvegicus. 146 samples. Type: Expression profiling by RT-PCR.
This record contains raw data related to the article "Sex-Specific Cell Types and Molecular Pathways Indicate Fibro-Calcific Aortic Valve Stenosis"
<p>This record contains raw data related to the article "Sex-Specific Cell Types and Molecular Pathways Indicate Fibro-Calcific Aortic Valve Stenosis"</p> <p><strong>Background:</strong> Aortic stenosis (AS) is the most common valve disorder characterized by fibro-calcific remodeling of leaflets. Recent evidence indicated that there is a sex-related difference in AS development and progression. Fibrotic remodeling is peculiar in women’s aortic valves, while men’s leaflets are more calcified. Our study aimed to assess aortic valve fibrosis (AVF) in a severe AS cohort using non-invasive diagnostic tools and determine whether sex-specific pathological pathways and cell types are associated with severe AS.</p> <p><strong>Materials and Methods:</strong> We have included 28 men and 28 women matched for age with severe AS who underwent echocardiography and cardiac contrast-enhanced computed tomography (CT) before intervention. The calcium and fibrosis volumes were assessed and quantified using the ImageJ thresholding method, indexed calcium and fibrosis volume were calculated by dividing the volume by the aortic annular area. For a deeper understanding of molecular mechanisms characterizing AS disorder, differentially expressed genes and functional inferences between women and men’s aortic valves were carried out on a publicly available microarray-based gene expression dataset (GSE102249). Cell types enrichment analysis in stenotic aortic valve tissues was used to reconstruct the sex-specific cellular composition of stenotic aortic valves.</p> <p><strong>Results:</strong> In agreement with the literature, our CT quantifications showed that women had significantly lower aortic valve calcium content compared to men, while fibrotic tissue composition was significantly higher in women than men. The expression profiles of human stenotic aortic valves confirm sex-dependent processes. Pro-fibrotic processes were prevalent in women, while pro-inflammatory ones, linked to the immune response system, were enhanced in men. Cell-type enrichment analysis showed that mesenchymal cells were over-represented in AS valves of women, whereas signatures for monocytes, macrophages, T and B cells were enriched men ones.</p> <p><strong>Conclusions:</strong> Our data provide the basis that the fibro-calcific process of the aortic valve is sex-specific, both at gene expression and cell type level. The quantification of aortic valve fibrosis by CT could make it possible to perform population-based studies and non-invasive assessment of novel therapies to reduce or halt sex-related calcific aortic valve stenosis (CAVS) progression, acting in an optimal window of opportunity early in the course of the disease.</p>
Sex-specific programming effects of parental obesity in pre-implantation embryonic development_Microarray data on blastocyst transcriptomes
GEO Series GSE133767. Mus musculus. 24 samples. Type: Expression profiling by array.
Sex-Specific Microglia State in the Neuroligin-4 Knock-Out Mouse Model of Autism Spectrum Disorder
GEO Series GSE185419. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Sex-specific differences in the pulmonary epigenome in neonatal hyperoxic lung injury
GEO Series GSE148330. Mus musculus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Sex-Specific Astrocyte Regulation of Spinal Motor Circuits by Nkx6.1 [H3K27ac ChIP-seq]
GEO Series GSE282688. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Data from: Conservation implications of sex-specific landscape suitability for a large generalist carnivore
Aim: Terrestrial mammal distribution models typically do not differentiate between sexes when making spatial predictions, which could have important conservation implications. As male carnivores are usually more risk tolerant and travel longer distances, male potential range should be larger and include more human modified areas than female range. To evaluate if differences between females and males could influence their conservation planning, we quantified sex-specific suitable range for a recolonizing population of American black bears (Ursus americanus). Location: We applied this method in Missouri, USA. Methods: We collected telemetry data from 57 females and 43 male bears from 2010 to 2018. We used three machine-learning methods (generalized boosted regression, random forest, and Maximum entropy) to develop sex-specific distribution models, which were combined into a weight-averaged ensemble model, and converted into a binary (presence/absence) model using an optimized threshold. We used 80% of individuals for each sex as training data, and 20% as evaluation data. Results: All models had high predictive performance; the greatest uncertainty in model predictions corresponded with the periphery of the distributions, whereas there was high agreement in the core distribution. Male suitable range was 66% larger than female range, and males were predicted to occur in more human-modified areas and more likely to be present in developed land and agriculture. Main conclusions: Distribution models based on data from both sexes, or that is male-biased, could overestimate the female (i.e. reproductive) range and potentially misrepresent the biologically relevant species distribution. This bias can potentially lead to misguided decisions and suboptimal use of resources. By improving models when sex-specific data is available, we can better focus resources in areas where there is reproductive potential, leading to more accurate assessments of species' conservation status and better identifying areas vital for species persistence.
Sex-specific speed-accuracy tradeoffs shape neural processing of acoustic signals
<p>Speed-accuracy tradeoffs – being fast at the risk of being wrong – are fundamental to many decisions and natural selection is expected to resolve these tradeoffs according to the costs and benefits of behavior. We here test the prediction that females and males should integrate information from courtship signals differently because they experience different payoffs along the speed-accuracy continuum. We fitted a neural model of decision making (a drift-diffusion model of integration to threshold) to behavioral data from the grasshopper <i>Chorthippus biguttulus</i> to determine the parameters of temporal integration of acoustic directional information used by male grasshoppers to locate receptive females. The model revealed that males had a low threshold for initiating a turning response, yet a large integration time constant enabled them to continue to gather information when cues were weak. This contrasts with parameters estimated for females of the same species when evaluating potential mates, in which response thresholds were much higher and behavior was strongly influenced by unattractive stimuli. Our results reveal differences in neural integration consistent with the sex-specific costs of mate search: Males often face competition and need to be fast. Females often pay high error costs and need to be deliberate.</p>
Aerial drones reveal the dynamic structuring of sea turtle breeding aggregations and minimum survey effort required to capture climatic and sex-specific effects
<p class="MsoNormal">Quantifying how animals use key habitats and resources for their survival allows managers to optimise conservation planning; however, obtaining representative sample sizes of wildlife distributions in both time and space is challenging, particularly in the marine environment. Here, we used unoccupied aircraft systems (UASs) to evaluate temporal and spatial variation in the distribution of loggerhead sea turtles (<em>Caretta caretta</em>) at two high-density breeding aggregations in the Mediterranean, and the effect of varying sample size and survey frequency. In May–June of 2017 to 2019, we conducted 69 surveys, assimilating 10,075 inwater turtle records at the two sites. Optimal survey frequency to capture the dynamics of aggregations over the breeding period was <2-week intervals and >500 turtles (from the combined surveys). This minimum threshold was attributed to the core-area use of female turtles shifting across surveys in relation to wind direction to access warmer nearshore waters and male presence. Males were more widely distributed within aggregations than females, particularly in May when mating encounters were high. Most males were recorded swimming and oriented parallel to shore, likely to enhance encounter rates with females. In contrast, most females were generally stationary (resting on the seabed or basking), likely to conserve energy for reproduction, with orientation appearing to shift in relation to male numbers at the breeding area. Thus, by identifying the main factors regulating the movement and distribution of animals, appropriate survey intervals can be selected for appropriate home range analyses. Our study demonstrates the versatility of UAS to capture the fine-scale dynamics of wildlife aggregations and associated factors, which is important for implementing effective conservation.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.