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31 results for “3D bioprinting”
Data for: 3D in vitro modeling of the exocrine pancreatic unit using tomographic volumetric bioprinting
<p><strong>Abstract</strong></p> <div> <div> <p><span><span>Pancreatic ductal adenocarcinoma (PDAC) is the most frequent type of pancreatic cancer, one of the leading causes of cancer-related deaths worldwide. The first lesions associated with PDAC occur within the functional units of exocrine pancreas</span><span>. T</span><span>he crosstalk between PDAC cells and stromal cells plays a key role in tumor progression.</span><span> Thus,</span> <span>i</span></span><span><span>n vitro</span></span><span><span>, fully human models of the pancreatic cancer microenvironment are needed to foster the development of new, more effective therapies</span><span>.</span> <span>However,</span><span> it is challenging to make these models anatomically and functionally relevant. Here, we used tomographic volumetric bioprinting, a novel method to fabricate </span><span>three-dimensional </span><span>cell-laden constructs</span><span>,</span><span> to produce a </span><span>portion</span><span> of the </span><span>complex convoluted </span><span>exocrine pancreas</span> </span><span><span>in vitro</span></span><span><span>.</span><span> Human fibroblast-laden gelatin methacrylate-based pancreatic models were processed to reassemble the </span><span>tubuloacinar</span><span> structures of the exocrine pancreas and, then human pancreatic ductal epithelial (HPDE) cells overexpressing the KRAS oncogene (HPDE-KRAS) were seeded in the acinar lumen to reproduce the pathological exocrine pancreatic tissue. The growth and organization of HPDE cells within the structure was evaluated and the formation of a thin epithelium which covered the acini inner surfaces in a physiological way inside the 3D model was</span> <span>successfully</span> <span>demonstrated</span><span>. Interestingly, immunofluorescence assays revealed a significantly higher expressions of alpha smooth muscle </span><span>actin</span><span> (α-SMA) vs. </span><span>actin</span><span> in the fibroblasts co-cultured with cancerous than with wild-type HPDE cells. Moreover, α-SMA expression increased with time, and it was found to be higher in fibroblasts that laid closer to HPDE cells than in those </span><span>laying </span><span>deeper into the model. Increased levels of interleukin (IL)-6 were also quantified in supernatants from co-cultures of stromal and HPDE-KRAS cells. These findings correlate with inflamed tumor-associated fibroblast behavior, thus being relevant biomarkers to </span><span>monitor</span><span> the early progression of the disease and to target drug efficacy. </span></span><span> </span></p> </div> <div> <p><span><span>To our knowledge, this is the first</span> <span>demonstration of a </span><span>3D </span><span>bioprinted</span> <span>portion</span><span> of </span><span>pancreas that</span> <span>rec</span><span>apit</span><span>ulates</span> <span>its</span> <span>true 3-dimensional </span><span>microanatomy</span><span>,</span><span> and which shows </span><span>tumor triggered </span><span>inflammation</span><span>. </span></span><span> </span></p> </div> </div> <p> </p> <p><strong>Contents</strong></p> <p>This repository contains the raw data, materials list, protocols, and code necessary to reproduce the work in the namesake preprint.</p> <p> </p>
Data for: 3D bioprinting patents
<p>This dataset contains information regarding 3D bioprinting patent/patent applications. </p> <p><a href="https://www.orbit.com/">Orbit</a> (a fee-based patent database provided by Questel), accessed on Jan. 2, 2022, was used for data mining.</p> <p>The files titled “<em>3D bioprinting patents</em>” and “<em>Bioink patents</em>” contain information related to Priority, Application and Publication numbers, Priority Application and Publication dates, Title, Abstract, and Current assignees.</p> <p>The patent searches were carried out by keywords and classification codes. </p> <p>Both IPC (International Patent Classification) and CPC (Cooperative Patent Classification) codes were used. </p> <p>Instead of 309 patents (see reference 1), a total number of 3,681 documents were retrieved (of which 3,027 are still alive and 2,461 filed in the period 2016 – 2020).</p> <p>Most of the published patent applications were generated in China and the USA (1,360 vs 1,063 priority applications). China is effectively the leading country (37%), followed by the USA with 29% of priority patent applications. </p> <p><strong>Value of the dataset</strong>: prior art searches, technological trends </p> <p><strong>Steps to reproduce data</strong>: </p> <p>The search strategy is reported in the table below:</p> <table> <tbody> <tr> <td> <p>1</p> </td> <td> <p>857</p> </td> <td> <p>(BIOPRINT+ OR BIOINK? OR ORGAN_ON_A_CHIP)/TI/AB/CLMS/ICLM</p> </td> </tr> <tr> <td> <p>2</p> </td> <td> <p>3096</p> </td> <td> <p>((A61L-027+ OR A61F-002+ OR A61L2430/00)</p> <p>AND (B33Y+ OR B29C-064+))/IPC/CPC</p> </td> </tr> <tr> <td> <p>3</p> </td> <td> <p>3681</p> </td> <td> <p> 1 OR 2</p> </td> </tr> <tr> <td> <p>4</p> </td> <td> <p>71912</p> </td> <td> <p>(C09D-011+)/IPC/CPC</p> </td> </tr> <tr> <td> <p>5</p> </td> <td> <p>104</p> </td> <td> <p> 3 AND 4</p> </td> </tr> </tbody> </table> <p><strong>Definition of the classification codes used</strong></p> <p><strong>A61L 27</strong>: Materials for grafts or prostheses or for coating grafts or prostheses</p> <p><strong>A61F 2</strong>: Filters implantable into blood vessels; Prostheses, i.e., artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g., stents</p> <p><strong>A61L2430/00</strong>: Materials or treatment for tissue regeneration</p> <p><strong>B33Y</strong>: Additive manufacturing, i.e., manufacturing of three-dimensional [3-d] objects by additive deposition, additive agglomeration, or additive layering, e.g., by 3-d printing, stereolithography, or selective laser sintering</p> <p><strong>B29C 64/00</strong>: Additive manufacturing, i.e., manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration, or additive layering, e.g., by 3D printing, stereolithography, or selective laser sintering</p> <p><strong>C09D 11</strong>: inks </p>
Research data supporting "Tunable microgel-templated porogel (MTP) bioink for 3D bioprinting applications"
<p>Raw research data supporting Ouyang L. et al., 2022, Advanced Healthcare Materials</p> <p><a href="https://doi.org/10.1002/adhm.202200027">https://doi.org/10.1002/adhm.202200027</a></p>
Adipose-derived stromal cells preserve pancreatic islet function in a transplantable 3D bioprinted scaffold
<p><span>Intra-portal islet transplantation is the method of choice for treatment of insulin dependent type 1 diabetes, but its outcome is hindered by limited islet survival due to the immunological and metabolic stress post transplantation. Adipose-derived stromal cells (ASCs) promise to improve significantly the islet micro-environment but an efficient long-term delivery method has not been achieved. We therefore explore the potential of generating ASC enriched islet transplant structure by 3D bioprinting. Here, we fabricate a double-layered 3D bioprinted scaffold for islets and ASCs by using alginate-nanofibrillated cellulose bioink. We demonstrate the diffusion properties of the scaffold and report that human ASCs increase the islet viability, preserve the endocrine function, and reduce pro-inflammatory cytokines secretion <em>in vitro</em>. Intraperitoneal implantation of the ASCs and islets in 3D bioprinted scaffold improve the long-term function of islets in diabetic mice. Our data reveals an important role for ASCs on the islet micro-environment. We suggest a novel cell therapy approach of ASCs combined with islets in a 3D structure with a potential for clinical beta cell replacement therapies at extrahepatic sites. </span></p>
3D bioprinted alginate-gelatin hydrogel patches containing cardiac spheroids recover heart function in a mouse model of myocardial infarction
<p>Datasets for Roche et al (2023), '3D bioprinted alginate-gelatin hydrogel patches containing cardiac spheroids recover heart function in a mouse model of myocardial infarction'.</p>
Adipose-derived stromal cells preserve pancreatic islet function in a transplantable 3D bioprinted scaffold
Open the record for dataset details and reuse information.
Printability, durability, contractility and vascular network formation in 3D bioprinted cardiac endothelial cells using alginate-gelatin hydrogels
<p>TBC</p>
In Situ Volumetric Imaging and Analysis of FRESH 3D Bioprinted Constructs Using Optical Coherence Tomography (Data and 3D models)
<p>These files contain 3D models and reconstructions of the 3D printed models after OCT imaging of the brain stem, circle of willis, kidney, vestibular apparatus, mixing network, and resolution text. These are from the journal article "In Situ Volumetric Imaging and Analysis of FRESH 3D Bioprinted Constructs Using Optical Coherence Tomography" published in <em>Biofabrication </em>(2022).</p>
Dataset for Machine Learning-Based Prediction and Optimization of As-Extruded Viability in Extrusion-Based 3D Bioprinting
<p>The dataset supports the findings presented in the paper "Machine learning-based prediction and optimization framework for as-extruded cell viability in extrusion-based 3D bioprinting."</p> <ul> <li>Sodium alginate viscosity data: "alg_i1g_viscosity_data.zip"</li> <li>Cross Power Law parameter fitting results: "alg_i1g_viscosity_fittings.zip"</li> <li>Rheological stability measurement: "alg_i1g_contact_angle_data.zip"</li> <li>OpenFOAM simulation results: "alg_i1g_simulation_data.zip"</li> <li>Post-extrusion cell viability results: "cell_viability_data.zip"</li> </ul> <p><strong>Keywords:</strong> 3D bioprinting; cell viability; shear stress; numerical analysis; machine learning; alginate<br><br></p> <p><strong>Code availability statement</strong><br>The scripts used for data analysis, machine learning models, and numerical simulations in this study are available on GitHub at: <a href="https://github.com/KORINZ/in-silico-bioink-viability-prediction">https://github.com/KORINZ/in-silico-bioink-viability-prediction</a></p>
A 3D Bioprinted Hormone-producing Model for BRCA Mutated Patients After Risk Reducing Surgery: the DISC-OVARY Trial
ClinicalTrials.gov study NCT06497270. IPD Sharing: NO. Countries: 1. Publications: 21.
Prediction of Drug Response in Gastric Cancer Based on 3D Bioprinting
ClinicalTrials.gov study NCT06792149. IPD Sharing: YES. Countries: 1. Publications: 2.
3D Bioprinted Models for Predicting Chemotherapy Response in Colorectal Cancer With/Without Liver Metastases
ClinicalTrials.gov study NCT04755907. IPD Sharing: YES. Countries: 1. Publications: 6.
Exploring the Application of 3D Bioprinting for Personalized Treatment in Pancreatic Ductal Adenocarcinoma
ClinicalTrials.gov study NCT05955092. IPD Sharing: YES. Countries: 1. Publications: 5.
Research data supporting "Void-free 3D bioprinting for in-situ endothelialization and microfluidic perfusion"
<p>Raw research data supporting the publication:</p> <p>Ouyang, Li. et al., 2019, Advanced Functional Materials. DOI: 10.1002/adfm.201908349</p>
Research data supporting "Expanding and Optimizing 3D Bioprinting Capabilities Using Complementary Network Bioinks"
<p>Raw research data supporting:</p> <p>Ouyang L. et al., 2020, Science Advances, 6:eabc5529.</p>
Instructions for the construction of a Low cost Lego 3D bioprinter
<p>Parts list and an instructional video for the recreation of a Lego 3D bioprinter.</p> <p>When referencing please use:</p> <p>Moukachar, A. <em>et al.</em> Development and Evaluation of a Low-Cost LEGO 3D Bioprinter: From Building-Blocks to Building Blocks of Life. <em>Advanced Materials Technologies</em> <strong>8</strong>, 2100868 (2023).</p>
Differential Effect of Electrical stimuli on a 3D bioprinted model of inflamed skin
GEO Series GSE280243. Homo sapiens. 53 samples. Type: Methylation profiling by genome tiling array.
Micro-engineered perfusable 3D-bioprinted glioblastoma model for in-vivo mimicry of tumor microenvironment
GEO Series GSE178371. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Biophysically patterned glioblastoma model via rapid 3D bioprinting for investigation of tumorigenesis and angiogenesis
GEO Series GSE158097. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Bioprinted 3D Outer Retina Barrier Uncovers RPE-dependent Choroidal Phenotype in Advanced Macular Degeneration
GEO Series GSE214928. Homo sapiens. 11 samples. Type: Expression profiling by high throughput sequencing.
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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)
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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.