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57 results for “bioengineering”
Quantitative results of the analysis of human bioengineered tissues corresponding to the work "Development of novel squid gladius biomaterials for cornea tissue engineering"
<p>This dataset corresponds to the quantitative data generated in the work entitled "Development of novel squid gladius biomaterials for cornea tissue engineering".</p> <p>Cornea tissue engineering is strictly dependent on the development of biomaterials fulfilling the strict biocompatibility, biomechanical and optical requirements of this organ. In this work, we have generated novel biomaterials from the squid gladius (SG) and their application in cornea tissue engineering was evaluated. Results revealed that the native SG (N-SG) was biocompatible in laboratory animals, although a local inflammatory reaction was driven by the material. Cellularized biomaterials (C-SG) demonstrated that the SG provides an adequate substrate for cell attachment and growth, and corneal epithelial cells cultured on this biomaterial were able to express crystallin alpha, a marker for this type of cells. Biomechanical analyses showed that N-SG biomaterials have higher Young modulus and lower traction deformation than control native corneas (CTR), and C-SG showed similar Young modulus than CTR. Analysis of the optical properties of these samples revealed that the diffuse transmittance of N-SG and C-SG were higher than CTR, with the diffuse reflectance showing the opposite behavior. These results confirm the putative usefulness of this abundant marine-derived biomaterial that can be obtained as a byproduct of the fishing industry.</p>
Quantitative results of the analysis of human native and bioengineered tissues corresponding to the work "Histological, histochemical and immunohistochemical characterization of NANOULCOR nanostructured fibrin-agarose human cornea substitutes generated by tissue engineering"
<p>Dataset containing the quantitative results of the histochemical and immunohistochemical analysis of the following human tissues:</p> <ul> <li>Control native cornea (CTR-C)</li> <li>Control native limbus (CTR-L)</li> <li>Artificial cornea generated by tissue engineering (HAC)</li> </ul> <p>Each tissue type was subjected to histochemical and immunohistochemical analyses and results were quantified using ImageJ software to determine average intensities and area fractions corresponding to positive staining signal for each marker.</p>
Quantitative results of the analysis of human bioengineered tissues corresponding to the work "Generation of tissue-like models of human bilayered tissues functionalized with olive oil components"
<p>This file contains the raw dataset generated in the work entitled "GENERATION OF NOVEL TISSUE-LIKE MODELS OF HUMAN BILAYERED TISSUES FUNCTIONALIZED WITH BIOACTIVE COMPONENTS OBTAINED FROM OLIVE OIL". These results correspond to the quantification of the histological results obtained in this work.</p>
Safety and Effectiveness of Collagen-phosphorylcholine Bioengineered Cornea in Patients Requiring Lamellar Keratoplasty
ClinicalTrials.gov study NCT02277054. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: In situ foliar augmentation of multiple species for optical phenotyping and bioengineering using soft robotics
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Human dermal microvascular arterial and venous blood endothelial cells and their use in bioengineered dermo-epidermal skin substitutes in vitro and in vivo
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Characterisation of large transgene integrations in Chinese hamster ovary cells using a bioengineered mammalian transposase
<p>Supporting information for "Characterisation of large transgene integrations in Chinese hamster ovary cells using a bioengineered mammalian transposase"</p>
Fig. 2. rCeEI-4 in Bioengineering of an elastase inhibitor from Caesalpinia echinata (Brazil wood) seeds
Fig. 2. rCeEI-4 and rCeEI-5 amino acid sequences and molecular models. (A) Multiple alignment of rCeEI-4 and rCeEI-5 amino acid sequences with other Kunitz type inhibitors. Protein Data Base (PDB) codes are shown in the figure. 1avw_B: trypsin inhibitor from Glycine max; 1tie_A: trypsin inhibitor from Erythrina caffra seeds; 1eyl_A: winged bean chymotrypsin inhibitor; 4an6_B: trypsin inhibitor from Tamarindus indica; 4j2k_B: trypsin inhibitor from Enterolobium contortisiliquum; rCeEI-4 and rCeEI-5: putative elastase inhibitors from C. echinata. The cysteine residues are in black boxes. Residues at P1 and P1′ positions of the putative reactive site are in blue boxes. The Weblogo shows the consensus among the sequences. Theoretical models of (B) rCeEI-4 and (C) rCeEI-5. In both models the beta sheet is shown in red, turns in green, coils in cyan, cysteines involved in the disulfide bonds are in yellow and the putative reactive site in grey. The figures were obtained by the YASARA program. (D) Structural alignment of rCeEI-4 (blue) and rCeEI-5 (green) theoretical models. The disulfide bonds are shown in yellow and putative reactive sites in cyan. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Bioengineering of an elastase inhibitor from Caesalpinia echinata (Brazil wood) seeds
Fig. 1. Nucleotide and amino acid sequences of (A) rCeEI-4 and (B) rCeEI-5. The amino acid residues of inhibitors are shown in bold black. Amino acid numbers are presented in blue and the stop codon is in green. The N-terminal sequence of CeEI is highlighted in yellow. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Bioengineering of an elastase inhibitor from Caesalpinia echinata (Brazil wood) seeds
Fig. 3. Determination of rCeEI-based peptides inhibitory constants (Ki) for HNE. The enzyme was pre-incubated with rCeEI-36 (A) or rCeEI-46 (B) in different concentrations. The residual activity of the enzymes was determined using the synthetic substrate MeO-Suc-Ala-Ala-Pro-Val-pNan. The release of the ρ-nitroaniline was followed at 405 nm. Ki values were determined by adjusting the experimental data to the equation for slow tight binding using a non-linear regression.
Fig. 4. Sequences and theoretical 3D in Bioengineering of an elastase inhibitor from Caesalpinia echinata (Brazil wood) seeds
Fig. 4. Sequences and theoretical 3D model of rCeEIbased peptides. (A) Alignment of amino acid sequences of rCeEI-36, rCeEI-46 and rCeEI-55. The cysteine residues are in black box, and residues at P1 and P1′ positions of the putative reactive site are highlighted in green. The peptides (B) rCeEI-36 and (C) rCeEI-46 are in green and red, respectively. The putative reactive site is in cyan and the disulfide bond in rCeEI-36 is shown in yellow. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Human dermal microvascular arterial and venous blood endothelial cells and their use in bioengineered dermo-epidermal skin substitutes in vitro and in vivo
<p>The bio-engineering of vascular networks is pivotal to create complex tissues and</p> <p>organs in vitro for regenerative medicine applications. The vascular plexus is needed for a</p> <p>sufficient and fast blood supply after transplantation, and, thus, required for the survival and</p> <p>function of the engineered tissue or organ. Hence, human endothelial cells are an attractive</p> <p>source for bio-engineering purposes, for example human dermal microvascular endothelial</p> <p>cells (HDMECs).</p> <p>So far, a discrimination between arterial and venous blood endothelial cells after</p> <p>isolation of HDMECs from skin biopsies and if arterial and/or venous capillaries are formed in</p> <p>pre-vascularized bio-engineered substitutes was not investigated.</p> <p>In this study, we investigated employedby single cell sequencing for to</p> <p>investigate/compare human arterial and venous endothelial cell markers in human fetal and</p> <p>juvenile skin. Further, we analyzed if these markers are present after isolation of human skin</p> <p>derived endothelial cells under 2D culture conditions. In additionFinally, we investigated</p> <p>assessed if human endothelial cells form distinct arterial and venous capillaries in 3D</p> <p>collagen type I hydrogels, and if these capillaries retain their identity after transplantation.</p> <p>We determinedOur results showed that arterial and venous endothelial cell markers</p> <p>such as NRP1 and NR2F2 are expressed both in fetal and juvenile skin, and are retained after</p> <p>isolation in culture. We could show demonstrate that arterial and venous endothelial cells</p> <p>maintain their differentiation status and form arterial and venous capillaries in 3D in vitro</p> <p>culture systems and that the capillaries inosculate after transplantation.</p> <p>In summary, we could show that we could bio-engineer human arterial, venous, and</p> <p>lymphatic capillaries in a human skin substitute in view of regenerative medicine approaches</p> <p>for clinical applications.</p>
Feasibility of Tracheobronchial Reconstruction Using Bioengineered Aortic Matrices
ClinicalTrials.gov study NCT04850742. IPD Sharing: NO. Countries: 1. Publications: 5.
Evaluation of Safety and Efficacy of a Bioengineered Corneal Implant for Treatment of Keratoconus
ClinicalTrials.gov study NCT04653922. IPD Sharing: NO. Countries: 2. Publications: 1.
Bioengineered Skin and Wound Healing
ClinicalTrials.gov study NCT00007280. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Bioengineered Allogeneic Immune Cells (AlloStim) Not Requiring HLA Donor Match for Blood Cancers
ClinicalTrials.gov study NCT00861965. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Tracheobronchial Bioengineering Using Aortic Matrices for Airway Reconstruction
ClinicalTrials.gov study NCT04263129. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Figure 1 from: Senapati S, Dash J, Sethi M, Chakraborty S (2020) Bioengineered probiotics to control SARS-CoV-2 infection. Research Ideas and Outcomes 6: e54802. https://doi.org/10.3897/rio.6.e54802
<p>Figure 1 Bioengineered probiotics to control SARS-CoV-2 infection. (a) Pathogenesis of SARS-CoV-2 depends on interaction between S protein of virus and angiotensin-converting enzyme 2 (ACE2) expressed on the surface of host cells. (b (1)) Engineered probiotics with expression of cell bound ACE2, sequesters the virus by making it bind to the ACE2 receptor on its surface thus inhibiting the viral entry into gut epithelial cells. (b (2)) The secreted form of ACE2 (sACE2) produced by probiotics confiscates the virus by binding to S proteins and masking their binding sites for gut epithelial ACE2. (c) The sACE2 could also have systemic effects due to its absorption into circulation and inhibiting the virus binding at distant organs like lungs.</p>
EJG_MDPI_Bioengineering_Supplementray
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Figs. 1. A-E in Macrophytes communities associated to soil bioengineering techniques for erosion control in riverbanks
Figs. 1. A-E. Collection sites of aquatic microphytes at Amparo de São Francisco. A. Vegetated Slope; B. Vegetated Riprap; C. Eroded Slope; D. Cribwall; E. Vetiver Grass Contour Line.
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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.