Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
141
datasets available to search
ShareScore release 0.9.0
Dataset results
141 results for “cardiac tissue”
Dataset for "Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns"
<p>This archive contains the source code and data sets presented in the publication "Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns".</p> <p>Kabus, D., De Coster, T., de Vries, A. A., Pijnappels, D. A., & Dierckx, H. (2024). Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns. <em>Computers in Biology and Medicine</em>, 107949. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.compbiomed.2024.107949" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.compbiomed.2024.107949</span></a></p>
Supplemental Raw Data for Imboden et al., High-speed mechano-active multielectrode array for investigating rapid stretch effects on cardiac tissue
<p>The file contains the central raw data underlying Figure 5 and, in the supplementary material, Figure 13 of the article 'High-speed mechano-active multielectrode array for investigating rapid stretch effects on cardiac tissue'.</p>
Scanning x-ray diffraction data on cardiac tissue
<p>Dataset used in conjunction with the article "Scanning X-ray Diffraction on Cardiac Tissue: Automatized Data Analysis and Processing" published in Journal of Synchrotron Radiation (2017). </p> <p>An example script to analyze the data is available within the toolbox described in the above mentioned article. The toolbox is available on https://irpgoe.github.io/nanodiffraction/.</p> <p> </p> <p> </p>
Self-organization of conducting pathways explains complex wave trajectories in procedurally interpolated fibrotic cardiac tissue: a digital-twin study
<p><span>In precision cardiology, digital twinning technology (DT) holds promise for predicting arrhythmias by </span><span>leveraging patient data and biophysics knowledge. However, current DTs are designed to directly reproduce biopotential conduction in cardiac tissue, while only indirect non-invasive methods can be clinically implemented on real organs. This discrepancy challenges our understanding of DT applicability limits. This study aims to enhance DT by developing an in-vitro training complement. We conducted a frame-by-frame comparison of in-vitro optical mapping of biopotential conduction with machine learning (ML) optimized DT predictions. Patient-specific self-organized tissue samples of human induced pluripotent stem cells-derived cardiomyocytes (CMs) with diffuse fibrosis served as DT prototypes. High spatiotemporal resolution optical mapping recordings (</span><span>Δ</span><span>x=117 ± 4 </span><span>μ</span><span>m, </span><span>Δ</span><span>t=7.69 ms) and immunostainings were used to reproduce fibrotic samples with a linear size of 7.5 mm. Using data-driven ML-optimization of the Cellular Potts model, we examined wave propagation at the subcellular level. The modified Glazier-Graner-Hogeweg model accurately reflected the “perinatal window” until the 20th day of differentiation, affecting CMs self-organization. The percolation threshold of virtual conductive pathways reached 26% (26.7 ± 2.9% of CMs in-vitro), resulting in a spatial correlation of amplitude maps between prototype samples and their DT with Pearson’s coefficients of 0.83 ± 0.02. As a proof-of-concept, we demonstrated the ability of ML-optimized DT to predict and interpolate wavefront trajectories in optical mapping recordings. We found that mathematical approximation of fibrosis distribution played a key role in DT prediction accuracy, potentially informing the implementation of LGE-MRI detection of fibrosis within cardiac DT frameworks.<br><br>Dataset A: <span>Immunostaining images were sorted based on the day of enzymatic disaggregation (before and after day 20). We collected and sorted </span><span>α</span><span>-actinin, Connexin43 and DAPI immunostainings </span><span>for Cellular Potts Model optimization. During data processing, cell shape<span>s (n=109 and n=69 for CM and BPs respectively after day 20, n=209 and n=90 for CM and BPs respectively before day 20) were formalized.<br>Dataset C corresponds to FluoVolt recordings <span>(3 samples). Dataset B corresponds to Fluo-4 AM recordings in iPSC-CMs samples with diffuse fibrosis imitation (4 samples)</span>. </span></span></span></p>
Barth Syndrome Cardiac Tissue Proteomics Dataset
<p>Spectral counts from LC/MS proteomics of left ventricular tissue from deidentified Barth Syndrome patients (BTHS), along with tissue from age-matched non-failing controls (NF) and patients with idiopathic dilated cardiomyopathy. </p>
Data from: Atypical collective oscillatory activity in cardiac tissue uncovered by optogenetics
Open the record for dataset details and reuse information.
Differential Proteomic Expression of Equine Cardiac and Lamellar Tissue During Insulin-Induced Laminitis
<p><span><span>Endocrinopathic laminitis is pathologically similar to the multi-organ dysfunction and peripheral neuropathy found in human patients with metabolic syndrome. Similarly, endocrinopathic laminitis has been shown to partially result from vascular dysfunction. However, despite extensive research, the pathogenesis of this disease is not well elucidated and laminitis remains without an effective treatment. Here, we sought to identify novel proteins and pathways underlying the development of equine endocrinopathic laminitis. Healthy Standardbred horses (n=4/group) were either given an electrolyte infusion, or a 48-hour euglycemic-hyperinsulinemic clamp. Cardiac and lamellar tissues were analyzed by mass spectrometry (FDR=0.05). All hyperinsulinemic horses developed laminitis despite being previously healthy. We identified 538 and 737 unique proteins in the cardiac and lamellar proteomes, respectively. In the lamellar tissue, we identified 14 proteins which were significantly upregulated and 13 proteins which were significantly downregulated in the hyperinsulinemic group as compared to controls. These results were confirmed via real-time reverse-transcriptase PCR. A STRING analysis of protein-protein interactions revealed that these upregulated proteins were primarily involved in coagulation and complement cascades, platelet activity, and ribosomal function, while downregulated proteins were involved in focal adhesions, spliceosomes, and cell-cell matrices. Novel significant differentially expressed proteins associated with hyperinsulinemia-induced laminitis include talin -1, vinculin, cadherin-13, fibrinogen, alpha-2-macroglobulin, and heat shock protein 90. In contrast, no proteins were found to be significantly differentially expressed in the heart of hyperinsulinemic horses compared to controls. Together,</span> <span>these data indicate that while hyperinsulinemia induced, in part, microvascular damage, complement activation, and ribosomal dysfunction in the lamellae, but a similar effect was not seen in the heart. In brief, this proteomic investigation of a unique equine model of hyperinsulinemia identified novel proteins and signaling pathways, which may lead to the discovery of molecular biomarkers and/or therapeutic targets for endocrinopathic laminitis.</span></span></p>
Data from: Impact of microRNA expression in human atrial tissue in patients with atrial fibrillation undergoing cardiac surgery
Background: Although microRNA (miRNA) regulates initiation and/or progression of atrial fibrillation (AF) in canine AF models, the underlying mechanism in humans remains unclear. We speculated that certain miRNAs in atrial tissue are related to AF, and evaluated the relationship of miRNA expression in human atrial tissue in cardiac surgery patients. Methods: Right atrial tissues from 29 patients undergoing cardiovascular surgery were divided into 3 groups [A: chronic AF or unsuccessful maze, n=6; B: successful maze, n=10; C: sinus rhythm (SR) n=13]. miRNA expression was determined using high density microarrays and with Reverse transcriptase-polymerase chain reaction (RT-PCR). Fibrosis was examined using Masson trichrome staining. Results: miRNA microarray analysis showed elevated miRNA-21, miRNA-23b, miRNA-199b, and miRNA-208b in AF as compared to SR groups. RT-PCR showed elevated miRNA-21 (1.9-fold) and miRNA-208b (4.2-fold) in AF as compared to the SR groups. miRNA-21 expression increased from Group C to A (A: 2.1-fold, B: 1.8-fold, C: 1.0-fold). Fibrosis increased from C to A (A: 43.0±12.9%, B: 21.3±6.1%, C: 11.9±3.1%). Percent fibrosis and miRNA-21 expression were correlated (r=0.508, p<0.05). The plasma levels of miRNA-21 in AF patients was significantly decreased as compared to the healthy volunteers (p<0.05). Conclusion: The expression of miRNA-21 in human atrial tissue was found to be related to atrial fibrosis and might affect AF occurrence, indicating its usefulness as a biomarker for cardiac surgery management.
Correlation analysis of epicardial adipose tissue and ventricular myocardial strain in Chinese amateur marathoners using cardiac magnetic resonance
<p><span>The volume of epicardial adipose tissue (EAT) is associated with an increased incidence of cardiovascular disease (CVD); however, only a few studies have examined its effect on the myocardial function of endurance in athletes. The association between the EAT and the variation of myocardial function is still unclear in amateur marathoners. Consequently, by using some sedentary individuals as the control, this study aims to evaluate the correlation between the EAT volume and the myocardial strain in the left and right ventricles of Chinese amateur marathoners by cardiac magnetic resonance (CMR).</span>The volume of epicardial adipose tissue (EAT) is associated with an increased incidence of cardiovascular disease (CVD); however, only a few studies have examined its effect on the myocardial function of endurance in athletes. The association between the EAT and the variation of myocardial function is still unclear in amateur marathoners. Consequently, by using some sedentary individuals as the control, this study aims to evaluate the correlation between the EAT volume and the myocardial strain in the left and right ventricles of Chinese amateur marathoners by cardiac magnetic resonance (CMR).</p>
Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance
<p>Primary data for DOI: 10.1002/nbm.4444</p> <p>NMR in Biomedicine. 2021;34:e4444.</p> <p>Title: Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance</p> <p>Authors: David Shaul, Assad Azar, Gal Sapir, Sivaranjan Uppala, Atara Nardi-Schreiber, Ayelet Gamliel, Jacob Sosna, J. Moshe Gomori, and Rachel Katz-Brull</p> <p> </p> <p>These primary datasets contain data presented in the above publication and consist of:</p> <p>1. <sup>31</sup>P-NMR spectra</p> <p>2. Hyperpolarized <sup>13</sup>C-NMR spectra</p> <p>Please consult the Archive Guide.</p>
Phase Angle, Lean Body Mass Index and Tissue Edema and Immediate Outcome of Cardiac Surgery Patients
ClinicalTrials.gov study NCT03644030. IPD Sharing: NO. Countries: 1. Publications: 12.
The Relationship of Adiponectin in Adipose Tissue, Thy-1 in Plaques, and Inflammatory Mediators With Cardiac Diseases
ClinicalTrials.gov study NCT02519257. IPD Sharing: Not stated. Countries: 1. Publications: 25.
Non-invasive Measurement of Regional Intracerebral Tissue Oxygenation in Elective Cardiac Surgeries
ClinicalTrials.gov study NCT01412619. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Vasopressin on Tissue Oxygen Saturation in Cardiac Surgery Patients During Cardiopulmonary Bypass
ClinicalTrials.gov study NCT01532505. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Comparison of Two Anaesthetic Methods of Protecting Heart Tissue During Cardiac Surgery
ClinicalTrials.gov study NCT00244283. IPD Sharing: Not stated. Countries: 1. Publications: 2.
TIVA Versus Inhalational Anesthesia and Tissue Oxygenation in Cardiac Surgery
ClinicalTrials.gov study NCT05320341. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Molecular and Cellular Characterization of Cardiac Tissue in Postnatal Development
ClinicalTrials.gov study NCT00243776. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Brain Tissue Oxygen Saturation and Blood Transfusion in Cardiac Surgery
ClinicalTrials.gov study NCT00879463. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Effect of GLP-1 Receptor (GLP-1R) Agonists on Cardiac Function and on Epicardial Adipose Tissue (EAT) Volume and on Myocardial TG Content in Obese Diabetics
ClinicalTrials.gov study NCT02042664. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Database of Tissue Samples to Understand the Inflammatory Response After Cardiac Surgery
ClinicalTrials.gov study NCT02488876. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.