3d Lung Tissue Cultures
3d Lung Tissue Cultures - Related Videos
05:47
Generation of Human 3D Lung Tissue Cultures (3D-LTCs) for Disease Modeling
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Cited by 46 •
2019
Here, we present a protocol for the preparation of agarose-filled human precision-cut lung slices from resected patient tissue that are suitable for generating 3D lung tissue cultures to model human lung diseases in biological and biomedical studies.
10:10
A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
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Cited by 40 •
2015
Human tuberculosis infection is a complex process, which is difficult to model in vitro. Here we describe a novel 3D human lung tissue model that recapitulates the dynamics that occur during infection, including the migration of immune cells and early granuloma formation in a physiological environment.
05:33
Lung-tumor Tissue Explant Culture: A Procedure to Generate and Culture Precision-cut Lung Tumor Slices
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2023
Organotypic primary tissue explant cultures, which include precision-cut slices, represent the three-dimensional (3-D) tissue architecture as well as the multicellular interactions of native tissue. This video describes the culturing of murine lung tumor-derived tissue slices using a rotating incubation unit, a system that enables intermittent exposure of tissues to oxygen and nutrients. The protocol describes the methodology to generate and culture precision-cut lung tumor slices for drug...
03:36
3D Co-culture of Lung Cancer Cells with CAFs: An In Vitro Model System to Study Tumor Progression
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2023
This video describes the two invitro model systems to capture the tissue architectural changes during lung squamous carcinoma progression in a 3-dimensional (3D) co-culture with cancer-associated fibroblasts. This system provides a unique platform to investigate the role of intrinsic and extrinsic changes that affect the tumor phenotype.
13:34
A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
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Cited by 29 •
2016
We present a three-dimensional (3D) lung cancer model based on a biological collagen scaffold to study sensitivity towards non-small-cell-lung-cancer-(NSCLC)-targeted therapies. We demonstrate different read-out techniques to determine the proliferation index, apoptosis and epithelial-mesenchymal transition (EMT) status. Collected data are integrated into an in silico model for prediction of drug sensitivity.
FAQs
Extracellular matrix scaffolds and hydrogels provide a physical environment in which lung cells can organize rather than remaining in a flat layer. Their three-dimensional support supplies spatial cues that influence cell differentiation and communication. Because these materials also help present mechanical and chemical signals, they make it possible to examine how tissue organization affects respiratory cell behavior under controlled laboratory conditions.
Spatial cues help determine how lung cells are positioned relative to one another and to their surrounding matrix. That organization can support differentiation, meaning the development of specialized cell characteristics, while also enabling cell-cell communication. In 3D lung tissue cultures, these relationships are important because researchers can study responses that depend on tissue architecture rather than examining isolated cells alone.
The main distinction is the level of tissue organization that each model can reproduce. Conventional two-dimensional cultures provide a flat environment, whereas 3D lung tissue cultures preserve spatial relationships through scaffolds, hydrogels, organoids, or tissue-derived frameworks. This added organization can support more representative investigation of cell behavior and responses to mechanical or chemical signals found within lung tissue.
Organoids and tissue-derived frameworks provide alternative structural formats for organizing lung cells in three dimensions. Along with scaffolds and hydrogels, they help preserve features of tissue organization while keeping experimental conditions controllable. Their value lies in allowing researchers to examine how lung cells respond within a structured environment, which can strengthen studies of development, disease mechanisms, and candidate treatments.
These cultures support investigations into lung development, infection, fibrosis, and cancer. Researchers can use the models to examine how disease-related changes arise within organized lung tissue and how cells respond to relevant chemical or mechanical signals. Because the experimental environment remains controlled, the same general modeling approach can be adapted to several distinct medical questions rather than focusing on only one disorder.
By preserving important aspects of tissue organization, these cultures allow candidate therapies to be evaluated in a model that includes structured cell relationships. Researchers can observe how organized lung tissue responds during controlled experiments, providing information relevant to drug testing and disease mechanisms. This approach may improve the assessment of treatment responses compared with relying only on less organized cell models.
3D lung tissue cultures are relevant to personalized treatment strategies because they provide an experimentally controllable setting for examining responses in organized lung tissue. Their ability to model disease processes and responses to candidate therapies can support efforts to understand treatment behavior in a patient-relevant context. In medicine, that connection links tissue modeling with the development of more individualized therapeutic approaches.