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421
datasets available to search
ShareScore release 0.9.0
Dataset results
421 results for “aorta”
circRNA expression profiles of mouse atherosclerotic and normal aortae by RNA-seq.
GEO Series GSE133269. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
RNA-sequencing (RNAseq) based transcriptomic profiling of aortae from C57BL/6 mouse by control or 24-hr fasting
GEO Series GSE173564. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
gene expression of aorta of ApoE KO mice after Gpnmb vaccine treatment
GEO Series GSE155596. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide Profiling of Long Noncoding RNA Expression Patterns in Thoracic Aorta from Spontaneously Hypertensive Rats.
GEO Series GSE145854. Rattus norvegicus. 6 samples. Type: Expression profiling by array.
Real-time quantitative PCR analysis of rat aorta samples after stent deployment
GEO Series GSE155793. Rattus norvegicus. 16 samples. Type: Expression profiling by RT-PCR.
Comparison of infrarenal and suprarenal sections of mouse ApoE-/- abdominal aorta
GEO Series GSE7006. Mus musculus. 10 samples. Type: Expression profiling by array.
Pharmacokinetic, antihypertension and deep sequencing MiRNomes analysis of aorta from SHR fed with EGCG
GEO Series GSE109412. Rattus norvegicus. 3 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Expression profiling in ductus arteriosus and aorta of Brown-Norway and Fischer344 rats
GEO Series GSE40534. Rattus norvegicus. 8 samples. Type: Expression profiling by array.
Blood pressure changes PVAT function and transcriptome: use of the mid-thoracic aorta coarcted rat
GEO Series GSE210564. Rattus norvegicus. 31 samples. Type: Expression profiling by high throughput sequencing.
A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography
<p>Full dataset of segmentations for both the thoracic artery and the proximal pulmonary arteries (format: standard NIfTI, nii) from Saitta S, Sturla F, Caimi A, Riva A, Palumbo MC, Nano G, Votta E, Corte AD, Glauber M, Chiappino D, Marrocco-Trischitta MM, Redaelli A. A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography. J Digit Imaging. 2022 Jan 26. doi: 10.1007/s10278-021-00535-1. Epub ahead of print. PMID: 35083618.</p> <p>Abstract</p> <p>Feasibility assessment and planning of thoracic endovascular aortic repair (TEVAR) require computed tomography (CT)-based analysis of geometric aortic features to identify adequate landing zones (LZs) for endograft deployment. However, no consensus exists on how to take the necessary measurements from CT image data. We trained and applied a fully automated pipeline embedding a convolutional neural network (CNN), which feeds on 3D CT images to automatically segment the thoracic aorta, detects proximal landing zones (PLZs), and quantifies geometric features that are relevant for TEVAR planning. For 465 CT scans, the thoracic aorta and pulmonary arteries were manually segmented; 395 randomly selected scans with the corresponding ground truth segmentations were used to train a CNN with a 3D U-Net architecture. The remaining 70 scans were used for testing. The trained CNN was embedded within computational geometry processing pipeline which provides aortic metrics of interest for TEVAR planning. The resulting metrics included aortic arch centerline radius of curvature, proximal landing zones (PLZs) maximum diameters, angulation, and tortuosity. These parameters were statistically analyzed to compare standard arches vs. arches with a common origin of the innominate and left carotid artery (CILCA). The trained CNN yielded a mean Dice score of 0.95 and was able to generalize to 9 pathological cases of thoracic aortic aneurysm, providing accurate segmentations. CILCA arches were characterized by significantly greater angulation (p = 0.015) and tortuosity (p = 0.048) in PLZ 3 vs. standard arches. For both arch configurations, comparisons among PLZs revealed statistically significant differences in maximum zone diameters (p < 0.0001), angulation (p < 0.0001), and tortuosity (p < 0.0001). Our tool allows clinicians to obtain objective and repeatable PLZs mapping, and a range of automatically derived complex aortic metrics.</p> <p> </p>
Thoracic aorta GWAS summary statistics.
<p>Thoracic aorta GWAS summary statistics.</p>
Effects of TREM-1 pharmacological blockade within aortas of apoE KO mice
GEO Series GSE161216. Mus musculus. 4 samples. Type: Expression profiling by RT-PCR.
Aortae of 32 weeks old apoE mice
GEO Series GSE2372. Mus musculus. 6 samples. Type: Expression profiling by array.
Gene expression profiles in Elastin (Eln+/-) mouse aorta and aortic valve tissue
GEO Series GSE16012. Mus musculus. 16 samples. Type: Expression profiling by array.
Effect of plasma from western diet fed mice on mouse aorta endothelial cells (MAOEC)
GEO Series GSE143160. Mus musculus. 23 samples. Type: Expression profiling by array.
Effect of a single dose and chronic exposure to celecoxib or rofecoxib on the transcriptome of mouse aorta
GEO Series GSE97068. Mus musculus. 39 samples. Type: Expression profiling by high throughput sequencing.
Expression data from mouse aortas
GEO Series GSE67182. Mus musculus. 4 samples. Type: Expression profiling by array.
gene expression in monkey aorta with aging and gender
GEO Series GSE6599. Homo sapiens; Macaca fascicularis. 24 samples. Type: Expression profiling by array.
Differential gene expression is not correlated to age-related vascular pathology in aorta and mesenteric artery of Brown Norway and Fischer344xBrown Norway rats
GEO Series GSE55612. Rattus norvegicus. 71 samples. Type: Expression profiling by array.
Aortic macrophages and endothelial cells of apoE KO mice aortas after plaque regression induced apoE adenoviral transfer
GEO Series GSE42691. Mus musculus. 6 samples. Type: Expression profiling by array.
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.