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ShareScore release 0.9.0
Dataset results
161 results for “tissue engineering”
Tissue-engineered bone tumor as a reproducible human in vitro model for studies of anti-cancer drugs
GEO Series GSE135323. Homo sapiens. 132 samples. Type: Expression profiling by high throughput sequencing.
Single-Cell Transcriptomics of Engineered Cardiac Tissues from Patient-Specific Induced Pluripotent Stem Cell-Derived Cardiomyocytes Reveals Abnormal Developmental Trajectory and Intrinsic Contractile
GEO Series GSE157157. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Global microRNA profiling in human bone marrow skeletal (stromal or mesenchymal) stem cells revealed candidates for bone tissue engineering
GEO Series GSE107279. Homo sapiens. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Phenotypic variation between stromal cells differentially impacts engineered cardiac tissue function
GEO Series GSE129058. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
Differential response of tissue engineered skeletal muscle from rheumatoid arthritis patients and healthy controls
GEO Series GSE283881. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Innate immune activation modulates contractile and electrical dysfunction in engineered heart tissue models fordesmoplakin(DSP)cardiomyopathy.
GEO Series GSE248187. Rattus norvegicus; Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.
Genetically engineering self-organization of human pluripotent stem cells into a liver bud-like tissue using Gata6
GEO Series GSE74662. Homo sapiens. 23 samples. Type: Expression profiling by array.
Transcriptomic analysis of engineered cardiac tissue in an oxygen gradient
GEO Series GSE189108. Rattus norvegicus. 18 samples. Type: Expression profiling by high throughput sequencing.
Engineering skeletal muscle tissues with advanced maturity improves synapse formation with human induced pluripotent stem cell-derived motor neurons
GEO Series GSE172606. Gallus gallus. 8 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic profile of three-dimensional tissue-engineered human skeletal muscle model of Pompe disease and recombinant protein therapy
GEO Series GSE159062. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
RNA sequencing of control and dystrophin-mutant engineered heart tissues from human induced pluripotent stem cell-derived cardiomyocytes
GEO Series GSE199242. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Blood-brain barrier dysfunction in response to Alzheimer's disease mutations and aged serum in a tissue-engineered microvascular model
GEO Series GSE272179. Homo sapiens. 54 samples. Type: Expression profiling by high throughput sequencing.
VEGFA dependent endothelial lumen formation in scaffold-free tissue engineering: a hybrid in vitro and in silico approach to improve vascularization of tissue: Spheroid simulation data
<p>Vascularization is a tightly regulated process involving a complex interplay of multiple bio-signaling events. Among these events, lumen formation is a crucial rate-limiting step in successful anastomosis of tissue engineered constructs in a host. We have developed scaffold-free endothelial-fibroblast based constructs with preformed microvessel networks that are a promising approach to rapid host-implant anastomosis. However, rapid formation of a continuous endothelial lumen within the microvessels remains elusive. We propose that pretreatment of these constructs with vascular endothelial growth factor A, a potent proangiogenic molecule, can improve large caliber lumen formation within constructs during <i>in vitro</i> self-assembly.</p> <p>Here, we present a hybrid <i>in vitro </i>and <i>in silico </i>approach to evaluating endothelial-fibroblast spheroid self-assembly and the effects of VEGF-A on lumen formation. Our VEGF-A dosing experiments ultimately demonstrated that our endothelial cells responded to VEGF-A by increased clustering tendency and hollow lumen formation. This behavior was coincident with an increase in polarization markers as well as a time and dose dependent increase in diameter of lumens. We used these observations to develop a simulation model using the Cellular Potts framework, a modeling framework that is well-adapted to tissue self-assembly. The model explores how changes in interfacial energy costs between cell types in our model as well as changes in basic cell parameters such as response to VEGF-A, growth and proliferation can alter dynamics of lumen formation within a construct. From our model, we ran a series of simulated experiments to generate tissues with an optimal distribution of large caliber vessels. Our analysis of the resulting regression model identified several statistically significant modifiable factors that could be mapped back to potential spheroid pretreatment strategies. These strategies could augment VEGF-mediated lumen formation and provide rationale for alterations in the design of our constructs.</p>
Tissue-engineered oral epithelial barrier for dental material testing: towards establishing in vitro biomimetic models - Underlying data
<p>Underlying CT data of "<strong>Tissue-engineered oral epithelial barrier for dental material testing: towards establishing <em>in vitro </em>biomimetic models</strong>"<br><a href="https://doi.org/10.1089/ten.tec.2024.0154">https://doi.org/10.1089/ten.tec.2024.0154</a></p> <p>Foteini Machla a, Paraskevi Kyriaki Monou b, c, Chrysanthi Bekiari d, Dimitrios Andreadis e Evangelia Kofidou d, , Emmanouel Panteris f, Orestis L. Katsamenis g, h, Maria Kokoti a, Petros Koidis a, Imad About i, Dimitrios Fatourosb, c, Athina Bakopoulou a</p> <p>a Department of Prosthodontics, Tissue Engineering Core Unit, School of Dentistry, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece</p> <p>b Department of Pharmaceutical Technology, School of Pharmacy, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece</p> <p>c Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki 57001, Greece</p> <p>d Laboratory of Anatomy and Histology, Veterinary School, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece</p> <p>e Department of Oral Medicine/Pathology, School of Dentistry, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece</p> <p>f Department of Botany, School of Biology, Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece</p> <p>g μ-VIS X-ray Imaging Centre, Faculty of Engineering and the Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom</p> <p>h Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom UK</p> <p>i Centre National de la Recherche Scientifique, Institute of Movement Sciences, Aix Marseille University, Marseille 13385, France</p> <p> </p> <p><strong>Measurement of ΤΕΟΕ thickness</strong></p> <p>X-ray computed micro-tomography (μCT) as employed to examine the microstructure of the paraffin-embedded tissue engineered oral epithelium (TEOE), enabling comprehensive 3D assessment of thickness using volumetric analysis (cf. supplementary for imaging parameters) (11). Imaging was conducted using an isotropic voxel-edge of 6.0 μm. Local Thickness was carried out in 3D using the “Volume Thickness Map” tool within Dragonfly software (cf. supplementary), allowing for the visualization and quantification of the spatial distribution and variability of tissue thickness.</p> <p>Imaging was conducted at the University of Southampton’s μ-VIS X-ray Imaging Centre ( https://muvis.org ) / 3D X-ray Histology facility, utilizing a customised μCT scanner optimisedfor intricate histological analyses(1), based on Nikon’s XTH225ST system (Nikon Metrology, UK). Operating parameters were set at 80 kVp / 86 μA (6.88 W), with a source-to-object distance of 37.5 mm and a source-to-detector distance of 937.4 mm, resulting in a magnification factor of 25x and an isotropic voxel-edge of 6.0 μm. Imaging acquisition involved the collection of 4001 projections using a 2850 x 2850 dexels detector, by averaging 4 frames per projection, with an exposure time of 500 ms per projection.</p> <p>Visualisation and analysis of the reconstructed dataset was done using Dragonfly software (Comet Technologies Canada Inc.; software accessible at http://www.theobjects.com/dragonfly). Assessment of Local Thickness was carried out in 3D using the “Volume Thickness Map” tool within Dragonfly software, following segmentation of the tissue layer. Local thickness analysis allowed for the visualization and quantification of the spatial distribution and variability of thickness within the tissue engineered oral epithelium (TEOE).</p> <p>Visual representation of local thickness histograms was employed to elucidate the distribution of thickness throughout the TEOE. These histograms effectively illustrate the number of voxels associated with specific cross-sectional thickness, offering both a graphical depiction of the variation in thickness across the tissue sample, and a quantitative measure of the average thickness of the specimen.</p> <p>It's worth noting, the volumetric and non-destructive nature of the technique enabled whole-block imaging, which proved crucial in addressing challenges arising from tissue sample shrinkage. This shrinkage, a consequence of dehydration during the fixation process, can occur in some cases and lead led to the specimen wrapping. While wrapping is not a common occurrence, this analysis method allowed for the evaluation of challenging-shaped specimens, such as the wrapped one presented in Figure 4. Unlike conventional 2D methods such as classical histology, which rely on the angle of slicing and encounter limitations when dealing with non-perfectly perpendicular slicing, μCT-based XRH enables analysis of all specimens, including those with complex shapes.</p> <p> </p>
The Clinical Therapeutic Effects and Safety of Tissue-engineered Bone
ClinicalTrials.gov study NCT02748343. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
3D Tissue Engineered Bone Equivalent for Treatment of Traumatic Bone Defects
ClinicalTrials.gov study NCT03103295. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Tissue-engineered Construct Based on Buccal Mucosa Cells and Matrix From Collagen and Polylactoglycolide Fibers
ClinicalTrials.gov study NCT03205670. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Rapid Construction of Tissue-engineered Skin for Repairing Wounds
ClinicalTrials.gov study NCT02070809. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Tissue Engineering for Hair Follicle Regeneration
ClinicalTrials.gov study NCT00506636. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Treating Patients With Traumatic Chondral Lesions With Autologous Bone Marrow Cells Derived Engineered Tissues - Engineered Osteochondral Tissue
ClinicalTrials.gov study NCT06400862. IPD Sharing: NO. Countries: 1. Publications: 0.
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.