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ShareScore release 0.9.0
Dataset results
150 results for “metabolic phenotype”
SMRT regulates metabolic homeostasis and adipose tissue macrophage phenotypes in tandem
GEO Series GSE129369. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
IPSC derived cardiac fibroblasts of DMD patients show compromised actin microfilaments, metabolic shift and pro-fibrotic phenotype.
GEO Series GSE237014. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Metabolic subgroups of Diversity Outbred mice show distinct phenotypic and transcriptomic signatures of obesity and insulin resistance
GEO Series GSE194145. Mus musculus. 446 samples. Type: Expression profiling by high throughput sequencing.
AKR1C3-mediated adipose androgen generation fuels an adverse metabolic phenotype in polycystic ovary syndrome (PCOS)
GEO Series GSE84958. Homo sapiens. 53 samples. Type: Expression profiling by high throughput sequencing.
Dataset 1. Metabolic and phenotypical variables of Holstein cows
<p>The dataset comprises the plasma concentration of metabolic variables, milk yield and milk composition, live weight, and body condition score of North American (NAH) and New Zealand Holstein (NZH) cows managed under two contrasting feeding strategies (restricted, P30, vs. maximized grazing activity, PMAX) across days in milk (DIM). NAH and NZH are coded as 1 and 2, respectively, while P30 and PMAX are coded as 1 and 2, respectively. The body condition score (BCS) is expressed in Edmonson's scale (Edmonson et al., 1989). </p>
Dataset 2. Metabolic and phenotypical variables of Holstein and Normande cows
<p>The dataset comprises the plasma concentration of metabolic and energy balance variables of Holstein (HF) and Normande (NR) cows managed in a low input grazing system across days in milk (DIM). The energy balance variables include net energy exported in milk (NE<sub>lact</sub>), net energy for gestation (NE<sub>gest</sub>), daily change in energy retained in peripheral tissue (ΔRE), and net energy intake (NEI). </p> <p> </p>
Oxidative stress, altered glucose metabolism and inflammation contribute to the retinal phenotype in the choroideremia zebrafish
GEO Series GSE254948. Danio rerio. 14 samples. Type: Expression profiling by high throughput sequencing.
Hypoxia and the metabolic phenotype of Daphnia
GEO Series GSE159485. Daphnia pulicaria. 8 samples. Type: Expression profiling by high throughput sequencing.
Role of inherent strain differences in prenatally induced differential metabolic syndrome phenotype and gene expression
GEO Series GSE12117. Mus musculus. 32 samples. Type: Expression profiling by array.
Cardiovascular Risk Factors Associated With the Metabolically Healthy Obese (MHO) Phenotype Compared to the Metabolically Unhealthy Obese (MUO) Phenotype in Children
<p><strong>Background:</strong> In pediatric age the prevalence of obesity is high. Obese children who do not have other risk factors than excess weight have been defined as "metabolically healthy obese" (MHO). <strong>Aim:</strong> The aim of this study is to evaluate, in a population of obese children, the prevalence of the MHO and "metabolically unhealthy obese" (MUO) phenotype. Furthermore, we evaluated the distribution of Uric Acid, HOMA index and Waist-Height ratio (W-Hr) in the MHO and MUO sub-groups and the impact of these non-traditional risk factors on the probability to be MUO. <strong>Methods:</strong>In 1201 obese children and adolescents [54% males, age (±SD) 11.9 (±3.0) years] weight, height, waist circumference, systolic (SBP) and diastolic (DBP) blood pressure, pubertal status, glucose, insulin, HDL cholesterol, triglycerides and Uric Acid serum values were assessed. MUO phenotype was defined as the presence of at least one of the following risk factors: SBP or DBP ≥ 90th percentile, glycaemia ≥ 100 mg/dl, HDL cholesterol <40 mg/dl, triglycerides ≥100 mg/dl (children <10 years) or ≥130 mg/dl (children ≥10 years). A multivariate logistic regression analysis was used to estimate the association between MUO phenotype and non-traditional cardiovascular risk factors. <strong>Results:</strong> The prevalence of the MUO status was high (61%). MUO subjects were more often male, older and pubertal (<em>p</em> < 0.001). The levels of the three non-traditional risk factors were significantly higher in MUO children compared to MHO children (<em>p</em> < 0.001) and all of them were independent predictors of the fact of being MUO [OR 1.41 (95% CI 1.24-1.69); 1.15 (95% CI 1.06-1.23) and 1.03 (95% CI1.01-1.05) for Uric Acid, HOMA index and W-Hr, respectively]. About 15% of MHO subjects had serum Uric Acid, HOMA index and W-Hr values within the highest quartile of the study population. <strong>Conclusion:</strong> The prevalence of MUO subjects in a large pediatric population is high and serum Uric Acid, HOMA index and W-Hr values are independent predictors of the probability of being MUO. A non-negligible percentage of subjects MHO has high values of all three non-traditional risk factors.</p> <div class="pg-extension"> </div>
ScienceDex guides
Understand access before you commit
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.