Dynamic Tissue System
Dynamic Tissue System - Related Videos
11:26
Robotics and Dynamic Image Analysis for Studies of Gene Expression in Plant Tissues
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Cited by 18 •
2010
We report a method for introduction, tracking and quantitative analysis of GFP expression in plant cells. This method utilizes a custom-designed robotics system for semi-continuous image collection from large numbers of samples, over time. We also demonstrate the use of ImageJ and ImageReady for analysis of image series.
12:03
Dynamics of Structures
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2023
Source: Roberto Leon, Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA It is rare nowadays that a whole year goes by without a major earthquake event wreaking havoc somewhere around the world. In some cases, like the 2005 Banda Ache earthquake in Indonesia, the damage involved large geographic areas and casualties in the six figures. In general, the number and intensity of earthquakes is not increasing, however, the vulnerability of the built environment is...
11:12
Tissue Engineering of a Human 3D in vitro Tumor Test System
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Cited by 34 •
2013
Methods to create human 3D tumor tissues as test systems are described. These technologies are based on a decellularized Biological Vascularized Scaffold (BioVaSc), primary human cells and a tumor cell line, which can be cultured under static as well as under dynamic conditions in a flow bioreactor.
03:15
Energy Dynamics - Concepts
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2019
The Food Chain Energy is one of the most important abiotic factors in an ecosystem and organisms in an ecosystem are connected by the flow of energy and matter among one another. Since energy can be neither created nor destroyed, it can only change form or be transferred to the next organism in a food chain. For example, every time a cow grazes on grass or an osprey hunts and consumes fish, energy is transferred from the consumed organism to the consumer. Each of these interactions in a food...
06:20
Transforming Static Barrier Tissue Models into Dynamic Microphysiological Systems
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Cited by 3 •
2024
This protocol describes a reconfigurable membrane-based cell culture platform that integrates the open-well format with fluid flow capabilities. This platform is compatible with standard protocols and allows for reversible transitions between open-well and microfluidic culture modes, accommodating the needs of both engineering and bioscience laboratories.
FAQs
Changing the environment over time lets researchers examine tissue behavior as conditions shift rather than observing cells under one unchanging setup. This matters because tissue function depends on interactions among cells, surrounding matrix, fluid or nutrient delivery, mechanical forces, and biochemical signals. The resulting observations can make laboratory findings more relevant to processes occurring in the body.
Fluid flow, mechanical forces, nutrient delivery, and biochemical signals act as controllable inputs in the system. Adjusting these inputs allows researchers to recreate different combinations of physical, chemical, and biological conditions and then examine how the engineered tissue responds. Their coordinated use is important because tissue behavior reflects the environment surrounding cells, not cellular activity alone.
Compared with static culture, a Dynamic Tissue System can expose a tissue construct to changing conditions and sustained environmental interactions. This enables observation of responses over time, including effects associated with flow, mechanical influence, nutrient availability, or biochemical signaling. The comparison is useful when a static setup may not adequately represent the conditions that shape tissue function in the body.
In medicine, these systems support several complementary research goals: investigating disease mechanisms, examining drug effects, studying tissue repair, and developing regenerative therapies. Because the model links engineered tissue with controlled environmental conditions, researchers can explore how tissues respond within a setting that more closely resembles the body. Findings may help guide interventions intended to be safer and more effective.
A typical setup combines an engineered tissue construct with controls for one or more surrounding conditions, such as fluid flow, mechanical forces, nutrient delivery, or biochemical signals. The selected components depend on the biological question. Coordinating these elements allows the experiment to focus on how the tissue responds to a defined change rather than treating its environment as fixed.
The main outcome is a time-resolved view of tissue response under controlled, changing conditions. Researchers can use that response to connect environmental inputs with tissue function, disease-related behavior, drug effects, repair processes, or regenerative therapy development. This context helps interpret results beyond a single static observation and can inform the direction of later therapeutic research.