Spheroid Bioprinting
Spheroid Bioprinting - Related Videos
04:40
Creation of Cardiac Tissue Exhibiting Mechanical Integration of Spheroids Using 3D Bioprinting
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Cited by 55 •
2017
This protocol describes 3D bioprinting of cardiac tissue without the use of biomaterials. 3D bioprinted cardiac patches exhibit mechanical integration of component spheroids and are highly promising in cardiac tissue regeneration and as 3D models of heart disease.
04:41
Magnetically Bioprinted 3D Spheroid Co-cultures: A Method for Co-culturing Cancerous Cells and Fibroblasts
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2023
This video explains the 3D magnetic bioprinting of co-cultured pancreatic cancer cells and fibroblasts. Pancreatic cancer cells and activated pancreatic fibroblast cells are co-cultured and magnetized using a biocompatible nanoparticle assembly, to generate spheroids, under the influence of magnetic forces.
08:34
Bioprinting Cellularized Constructs Using a Tissue-specific Hydrogel Bioink
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Cited by 59 •
2016
We describe a set of protocols that together provide a tissue-mimicking hydrogel bioink with which functional and viable 3-D tissue constructs can be bioprinted for use in in vitro screening applications.
06:07
Direct Bioprinting of 3D Multicellular Breast Spheroids onto Endothelial Networks
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Cited by 7 •
2020
The goal of this protocol is to directly bioprint breast epithelial cells as multicellular spheroids onto pre-formed endothelial networks to rapidly create 3D breast-endothelial co-culture models which can be used for drug screening studies.
03:13
A Method for 3D Bioprinting Murine Cortical Astrocytes
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2025
The video demonstrates the process of creating a 3D bioprinted construct using astrocytes suspended in a bioink solution. The bioprinted construct, after crosslinking, facilitates astrocyte adhesion and their spreading, forming neural-like tissue.
FAQs
Cell adhesion allows neighboring spheroids and surrounding support materials to remain organized after placement, while fusion helps separate aggregates develop into a more cohesive tissue-like structure. As the construct matures, extracellular matrix production contributes additional organization. Together, these processes influence how closely the printed model reflects tumor architecture and cell-cell interactions relevant to cancer studies.
Gradients create spatial differences within the construct that are difficult to reproduce in conventional two-dimensional cultures. Cells positioned in different regions may therefore experience distinct local conditions, producing a more physiologically relevant setting for examining tumor behavior and treatment response. These gradients are especially valuable when researchers need to evaluate how cancer cells respond throughout a tissue-like model.
Two-dimensional culture presents cells on a relatively flat surface, whereas spheroid bioprinting supports organized three-dimensional arrangements with cell-cell interactions and tissue-like architecture. The printed format can also reproduce internal gradients of oxygen, nutrients, and drugs. Consequently, researchers can investigate tumor growth, invasion, metastasis, and treatment response under conditions that more closely reflect three-dimensional cancer biology.
A typical workflow begins with multicellular spheroids, positions them into a controlled architecture, and places them within a supportive bioink or scaffold. Subsequent cell adhesion, spheroid fusion, and extracellular matrix production help the construct become cohesive. The resulting model can then be examined for tumor-related behaviors or responses to treatments, depending on the research question.
This approach is useful when a study requires more than the simplified organization of a two-dimensional culture. Researchers can use the resulting constructs to examine tumor growth, invasion, metastasis, and interactions among cells within a tissue-like arrangement. It is particularly relevant when spatial organization and local environmental gradients may influence the cancer process being investigated.
Printed tumor constructs provide a three-dimensional setting in which treatment response can be assessed across organized cell populations and local drug gradients. This may offer more physiologically relevant information than flat cultures during drug screening. Because the approach can create controlled tumor architectures, it also has potential value for studying treatment responses in personalized cancer research.