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1,870
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ShareScore release 0.9.0
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1,870 results for “Adipose tissue”
Transcriptional analysis of adipose tissue during post-natal development reveals depot-specific responsiveness to maternal dietary supplementation
GEO Series GSE115799. Homo sapiens; Ovis aries. 49 samples. Type: Expression profiling by array.
Exon Level Expression Profiling of Epididymal Adipose Tissue: During Chronic Glucocorticoid Treatment While Consuming an N-6 Rich High Fat Diet
GEO Series GSE99064. Mus musculus. 8 samples. Type: Expression profiling by array.
RNA-sequencing of epicardial adipose tissue of heart failure patients with preserved ejection fraction
GEO Series GSE192886. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Acetyl-CoA metabolism determines the partitioning of lipids between adipose tissue and skin
GEO Series GSE276591. Mus musculus. 29 samples. Type: Expression profiling by high throughput sequencing.
microRNA landscape in extracellular vesicles/exosomes derived from bioglass-primed human adipose tissue-derived MSCs
GEO Series GSE200740. Homo sapiens. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Effects of temporal segmentation of meal composition on human adipose tissue transcriptome
GEO Series GSE118280. Homo sapiens. 90 samples. Type: Expression profiling by array.
Gene expession profiles of p16high and p16low adipocyte progenitor cells of gonadal adipose tissue in the cancer cachexia mouse model
GEO Series GSE264329. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profiles of mesenterial adipose tissue of newborn rats from dams that were either fed a vitamin D adequate (1,000 IU vitamin D/kg diet) or a vitamin D deficient diet (0 IU vitamin D/kg
GEO Series GSE82215. Rattus norvegicus. 6 samples. Type: Expression profiling by array.
Subcutaneous and gonadal adipose tissue transcriptome differences in lean and obese female dogs
GEO Series GSE29280. Canis lupus familiaris. 18 samples. Type: Expression profiling by array.
Data set from the article Petrini M, Alì M, Cannaò PM, Zambelli D, Cozzi A, Codari M, Malavazos AE, Secchi F, Sardanelli F. Epicardial adipose tissue volume in patients with coronary artery disease or non-ischaemic dilated cardiomyopathy: evaluation with cardiac magnetic resonance imaging. Clin Radiol. 2019 Jan;74(1):81.e1-81.e7. doi: 10.1016/j.crad.2018.09.006. Epub 2018 Oct 15. PMID: 30336943.
<p>Data set from the article Petrini M, Alì M, Cannaò PM, Zambelli D, Cozzi A, Codari M, Malavazos AE, Secchi F, Sardanelli F. Epicardial adipose tissue volume in patients with coronary artery disease or non-ischaemic dilated cardiomyopathy: evaluation with cardiac magnetic resonance imaging. Clin Radiol. 2019 Jan;74(1):81.e1-81.e7. doi: 10.1016/j.crad.2018.09.006. Epub 2018 Oct 15. PMID: 30336943.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Aim: </strong> To compare the amount of epicardial adipose tissue (EAT) in patients with coronary artery disease (CAD) or non-ischaemic dilated cardiomyopathy (NIDCM) with that in patients with negative cardiac magnetic resonance imaging (CMR).</p> <p><strong>Materials and methods: </strong> One hundred and fifty patients (median age 57 years, interquartile range [IQR] 46-66 years) who underwent CMR were evaluated retrospectively: 50 with CAD, 50 with NIDCM, and 50 with negative CMR. For each patient, the EAT mass index (EATMI) to body surface area, end-diastolic volume index (EDVI), end-systolic volume index (ESVI), stroke volume (SV), ejection fraction (EF) for both ventricles, and left ventricle (LV) mass index were estimated. Intra and inter-reader reproducibility was tested in a random subset of 30 patients, 10 for each group. Mann-Whitney U test, Kruskal-Wallis test, Spearman's correlation, and Bland-Altman statistics were used.</p> <p><strong>Results: </strong> The EATMI in CAD patients (median 15.7 g/m<sup>2</sup>, IQR 8.3-25.7) or in NIDCM patients (15.9 g/m<sup>2</sup>, 11.5-18.1) was significantly higher than that in negative CMR patients (9.1 g/m<sup>2</sup>, 6-12; p<0.001 both). No significant difference was found between CAD and NIDCM patients (p=1.000). A correlation between EATMI and LV mass index was found in NIDCM patients (r=0.455, p=0.002). Intra- and inter-reader reproducibility were up to 80% and 72%, respectively.</p> <p><strong>Conclusion: </strong> Patients with NIDCM or CAD exhibited an increased EATMI in comparison to negative CMR patients. CMR can be used to estimate EAT with good reproducibility.</p>
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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.