3d Culture Model
3d Culture Model - Related Videos
03:33
Generating a 3D Co-Culture Model of Human Corneal Fibroblasts and Neurons
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2025
This video demonstrates a technique to generate a three-dimensional co-culture model system of primary human corneal fibroblasts and differentiated neuronal cells. This co-culture system can be used to study the stromal-nerve interactions.
04:43
Esophageal 3D Raft Culture Model: An In Vitro Culture Technique to Generate Human Esophageal Mucosa Model
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2023
This video describes an in vitro culture technique to generate human organotypic esophageal constructs by co-culturing primary human esophageal fibroblast and squamous epithelial cells within a decellularized porcine scaffold. These 3D culture models mimic the function and physiology of their in vivo tissue counterparts.
08:24
A Hormone-responsive 3D Culture Model of the Human Mammary Gland Epithelium
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Cited by 3 •
2016
We describe a 3D culture model of the human breast epithelium that is suitable to study hormone action.
12:22
Culturing and Applications of Rotating Wall Vessel Bioreactor Derived 3D Epithelial Cell Models
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Cited by 80 •
2012
A rotating cell culture system that allows epithelial cells to grow under physiological conditions resulting in 3-D cellular aggregate formation is described. The aggregates generated display in vivo-like characteristics not observed in conventional culture models and serve as a more accurate organotypic model system for a multitude of scientific investigations.
03:53
Laser Microdissection: A Technique to Isolate Invading Colorectal Cancer cells from a 3D Organotypic Culture Model
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2023
The video describes the laser dissection of the 3D organotypic co-culture model with micron-level precision. In 3D organotypic models, stromal constituents such as fibroblasts are 3-dimensionally co-cultured with cancer epithelial cells. The 3D model serves as an experimental tool that enables invasion and cancer-stroma interactions to be studied in near-physiological conditions.
FAQs
Spatial gradients of oxygen, nutrients, signaling molecules, and infection-related factors create conditions that vary across the cultured tissue structure. Cells therefore experience different local environments rather than one uniform exposure. These differences can alter cell behavior and immune responses, helping researchers examine how localized conditions shape inflammation and host-pathogen interactions.
Neighboring cells and extracellular matrix provide structural and biological context that flat cultures do not reproduce as closely. Their arrangement supports tissue organization and influences how cells communicate and respond to external factors. In immunology and infection studies, this context can affect barrier behavior, inflammatory responses, pathogen interactions, and treatment outcomes.
A two-dimensional culture presents cells in a flat arrangement, whereas a 3D Culture Model provides tissue-like architecture and spatial variation. This distinction matters because infection-related factors, signaling molecules, oxygen, and nutrients can be distributed differently within the structure. As a result, the model may reveal tissue-level host responses that conventional culture does not represent as closely.
Cell behavior can change with local differences in oxygen, nutrient availability, signaling molecules, and infection-related factors. The position of cells within the architecture also determines which neighboring cells and extracellular matrix they encounter. Together, these conditions create spatially distinct environments that can produce varied immune responses within the same cultured system.
Researchers can use these systems to represent barriers, tissues, or organ-like structures and then examine how pathogens interact with them. The resulting experiments can address pathogen entry, replication, inflammation, and broader host-pathogen interactions within an organized environment. This approach connects cellular responses with the tissue context in which infection-related processes occur.
These treatments can be evaluated when researchers need to examine responses under conditions that more closely resemble tissue organization than conventional flat culture. Antimicrobial treatments can be assessed alongside infection-related outcomes, while immunomodulatory treatments can be examined in relation to immune responses. The model may therefore provide information relevant to tissue-level treatment effects.