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ShareScore release 0.9.0
Dataset results
119 results for “Failure Analysis”
Single-cell analysis revealed the role of CD8+ effector T cells in preventing cardioprotective macrophage differentiation in the early phase of heart failure
GEO Series GSE183024. Mus musculus. 375 samples. Type: Expression profiling by high throughput sequencing.
A Multi-omic and Multi-Species Analysis of Right Ventricular Failure
GEO Series GSE224428. Sus scrofa. 8 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis of low-level vagus nerve stimulation effects on cardiac remodeling in pressure overload-induced heart failure
GEO Series GSE310767. Mus musculus. 21 samples. Type: Expression profiling by high throughput sequencing.
Fracture Dataset accompanying the manuscript 'Stress and Rock Failure Near Salt Bodies: Insights from Field Observations, Kinematic Modeling, and Mechanical Analysis in the Paradox Basin'
<p>This data repository supports the manuscript titled <em>"Stress and Rock Failure Near Salt Bodies: Insights from Field Observations, Kinematic Modeling, and Mechanical Analysis in the Paradox Basin,"</em> submitted to the <em>Journal of Geophysical Research: Solid Earth</em>. It contains comprehensive fracture data with location coordinates referenced in the NAD83 UTM Zone 12N system. Orientation data is reported as dip and dip azimuth, and each data point is clearly labeled to indicate whether it was derived from field measurements or point cloud analyses.</p>
Investigating the Mechanism of Chinese Medicine Formula AACO Against Chronic Heart Failure by Network Pharmacology Analysis and Experimental Validation
GEO Series GSE217747. Rattus norvegicus. 6 samples. Type: Expression profiling by array.
Next-generation sequencing facilitates quantitative analysis of wild and acute renal failure mice
GEO Series GSE183727. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Single-cell analysis revealed the role of CD8+ effector T cells in preventing cardioprotective macrophage differentiation in the early phase of heart failure
GEO Series GSE183405. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Exploring the biological basis for the identification of different syndromes in ischemic heart failure based on joint multi-omics analysis
GEO Series GSE303117. Homo sapiens. 129 samples. Type: Expression profiling by high throughput sequencing.
Gabriella Miller Kids First Pediatric Research Program: An Integrated Clinical and Genomic Analysis of Treatment Failure in Pediatric Osteosarcoma
Although the survival of children with relapsed osteosarcoma is very poor, little is known about the etiology of treatment failure in this disease. The purpose of this project is to perform whole genome sequencing on serial samples from patients with osteosarcoma obtained before treatment, after treatment, and at relapse/metastasis in order to identify the mutations and pathways that are drivers of drug resistance. If successful, our results may help identify patients at high risk for treatment failure and may yield new treatments for children who cannot currently be cured.
Gabriella Miller Kids First Pediatric Research Program: An Integrated Clinical and Genomic Analysis of Treatment Failure in Pediatric Osteosarcoma
Open the record for dataset details and reuse information.
Elucidating the mechanisms underlying left ventricular function recovery in patients with ischemic heart failure undergoing surgical remodeling: A 3-dimensional ultrasound analysis.
<p>Dataset from Castelvecchio S, Frigelli M, Sturla F, Milani V, Pappalardo OA, Citarella M, Menicanti L, Votta E. Elucidating the mechanisms underlying left ventricular function recovery in patients with ischemic heart failure undergoing surgical remodeling: A 3-dimensional ultrasound analysis. J Thorac Cardiovasc Surg. 2021 Feb 26:S0022-5223(21)00381-0. doi: 10.1016/j.jtcvs.2021.02.067. Epub ahead of print. PMID: 33781593.</p> <p>Abstract </p> <p><strong>Objective: </strong>The study objective was to elucidate the mechanisms of left ventricle functional recovery in terms of endocardial contractility and synchronicity after surgical ventricular reconstruction.</p> <p><strong>Methods: </strong>Real-time 3-dimensional transthoracic echocardiography was performed on 20 patients with anterior left ventricle remodeling and ischemic heart failure before surgical ventricular reconstruction and at 6-month follow-up, and on 15 healthy controls matched by age and body surface area. Real-time 3-dimensional transthoracic echocardiography datasets were analyzed through TomTec software (4D LV-Analysis; TomTec Imaging Systems GmbH, Unterschleissheim, Germany): Left ventricle volumes, ejection fraction, and global longitudinal strain were computed; the time-dependent endocardial surface yielded by 3-dimensional speckle-tracking echocardiography was postprocessed through in-house software to quantify local systolic minimum principal strain as a measure of fiber shortening and mechanical dispersion as a measure of fiber synchronicity.</p> <p><strong>Results: </strong>Compared with controls, patients with heart failure before surgical ventricular reconstruction showed lower ejection fraction (P < .0001) and significantly impaired mechanical dispersion (P < .0001) and minimum principal strain (P < .0001); the latter worsened progressively from left ventricle base to apex. After surgical ventricular reconstruction, global longitudinal strain improved from -6.7% to -11.3% (P < .0001); mechanical dispersion decreased in every left ventricle region (P ≤ .017) and mostly in the basal region, where computed mechanical dispersion values were comparable to physiologic values (P ≥ .046); minimum principal strain improved mostly in the basal region, changing from -16.6% to -22.3% (P = .0027).</p> <p><strong>Conclusions: </strong>At 6-month follow-up, surgical ventricular reconstruction was associated with significant recovery in global left ventricle function, improved mechanical dispersion indicating a more synchronous left ventricle contraction, and improved left ventricle fiber shortening mostly in the basal region, suggesting the major role of the remote myocardium in enhancing left ventricle functional recovery.</p>
Dataset related to article: "Diffuse idiopathic skeletal hyperostosis in subjects with congestive heart failure undergoing cardiac rehabilitation: A decision tree analysis"
<p>We provide the raw data used for the following article:</p> <ul> <li> <p>Ambrosino P, Scrutinio D, De Campi M, Miniero E, Formisano R, Spedicato GA, Iannuzzi GL, Pappone N.<br> <em>Diffuse idiopathic skeletal hyperostosis in subjects with congestive heart failure undergoing cardiac rehabilitation: A decision tree analysis. </em><br> "J Rehabil Med". 2020 Mar 18;52(3):jrm00030. doi: 10.2340/16501977-2658. PMID: 32104899.</p> </li> </ul> <p> </p> <p><strong>Abstract</strong></p> <p><strong>Objective: </strong> To assess the prevalence of diffuse idiopathic skeletal hyperostosis and its relationship with vascular risk factors among patients with congestive heart failure.</p> <p><strong>Design: </strong> Population-based cross-sectional study.</p> <p><strong>Participants: </strong> A total of 584 consecutive patients admitted to a Rehabilitative Cardiology Unit.</p> <p><strong>Methods: </strong> Chi-square Automatic Interaction Detector (CHAID) decision tree analysis was used to build a predictive model.</p> <p><strong>Results: </strong> The mean age (standard deviation) of the study population was 68.1 years (standard deviation 12.3), and 77.7% of the subjects were men. The overall prevalence of diffuse idiopathic skeletal hyperostosis in the cohort was 49.8%. Logistic regression analysis showed that age was a predictor of diffuse idiopathic skeletal hyperostosis (odds ratio: 1.034; 95% confidence interval 1.021-1.047, p < 0.001), with increasing odds ratios for increasing age tertiles. The CHAID prediction model identified 2 age "buckets": < 69 and ≥ 69 years. Patients ≥ 69 years had a diffuse idiopathic skeletal hyperostosis prevalence of 60.1%, compared with 39.2% among those < 69 years. Notably, body mass index was a predictor of diffuse idiopathic skeletal hyperostosis in this younger subset of patients (p = 0.028), with 2 body mass index "buckets", ≤ 23.3 and > 23.3 kg/m2, the latter showing more than twice the prevalence of diffuse idiopathic skeletal hyperostosis (43.2% vs 20%).</p> <p><strong>Conclusion: </strong> Diffuse idiopathic skeletal hyperostosis is extremely frequent among patients with congestive heart failure, with age and body mass index being the strongest predictors.</p>
Raw data for "The importance of re-evaluating the risk score in heart failure patients: An analysis from the Metabolic Exercise Cardiac Kidney Indexes (MECKI) score database" 2023 Int J Cardiol
<p>Abstract</p> <p><strong>Background: </strong>The role of risk scores in heart failure (HF) management has been highlighted by international guidelines. In contrast with HF, which is intrinsically a dynamic and unstable syndrome, all its prognostic studies have been based on a single evaluation. We investigated whether time-related changes of a well-recognized risk score, the MECKI score, added prognostic value. MECKI score is based on peak VO<sub>2</sub>, VE/VCO<sub>2</sub> slope, Na<sup>+</sup>, LVEF, MDRD and Hb.</p> <p><strong>Methods: </strong>A multi-centre retrospective study was conducted involving 660 patients who performed MECKI re-evaluation at least 6 months apart. Based on the difference between II and I evaluation of MECKI values (MECKI II - MECKI I = ∆ MECKI) the study population was divided in 2 groups: those presenting a score reduction (∆ MECKI <0, i.e. clinical improvement), vs. patients presenting an increase (∆ MECKI >0, clinical deterioration).</p> <p><strong>Results: </strong>The prognostic value of MECKI score is confirmed also when re-assessed during follow-up. The group with improved MECKI (366 patients) showed a better prognosis compared to patients with worsened MECKI (294 patients) (p < 0.0001). At 1st evaluation, the two groups differentiated by LVEF, V<sub>E</sub>/VCO<sub>2</sub> slope and blood Na<sup>+</sup> concentration, while at 2nd evaluation they differentiated in all 6 parameters considered in the score. The patients who improved MECKI score, improved in all components of the score but hemoglobin, while patients who worsened the score, worsened all parameters.</p> <p><strong>Conclusions: </strong>This study shows that re-assessment of MECKI score identifies HF subjects at higher risk and that score improvement or deterioration regards several MECKI score generating parameters confirming the holistic background of HF.</p>
Comprehensive analysis of the RNA transcriptome expression profiles and construction of the ceRNA network in heart failure patients
GEO Series GSE212181. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Small RNA Microarray Analysis of MCT-Induced Right Ventricular Failure Reveals Novel tRNA-derived Small RNAs with Biomarker Potential for Pulmonary Arterial Hypertension
GEO Series GSE245790. Rattus norvegicus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Progressive failure analysis of slip zone soils with strain-softening behavior and implications for landslide triggering mechanisms
<p>Figure for paper entitled “Progressive failure analysis of slip zone soils with strain-softening behavior and implications for landslide triggering mechanisms”</p>
Gabriella Miller Kids First Pediatric Research Program: An Integrated Clinical and Genomic Analysis of Treatment Failure in Pediatric Osteosarcoma
Open the record for dataset details and reuse information.
Kids First: An Integrated Clinical and Genomic Analysis of Treatment Failure in Pediatric Osteosarcoma
Namespace hosted on the Kids First DRC FHIR services at fhir.kidsfirstdrc.org
Health index calculation using failure modes, effects, and criticality analysis for high- voltage circuit breakers
<p>Dataset for health index calculation for a fleet of HVCBs using FMECA.</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.