The main issues find while using 2D cell systems, is that it is not possible to have access to the specific architecture that drives the function of a tissue or an organ. There are many other problems related to extrapolation of data generated from 2D cell culture systems to physiology because the 2D cell cultures may only reflect a small part of an organ. (1)
Besides, the 3D cell culture systems are closer to the in vivo complexity. (2) The problem to face here is that physiology is very complex and the only way to approach it is to refine models. As experimental systems became more complex, a lot of variables need to be considered, thus, it is necessary to cross used mathematics, biological knowledge, and of course, experimentation to better understand which are the best parameters to study in 3D cell culture.
The first question that needs to be answered is what kind of cells used? It is necessary to find a balance between the availability, ease of use, and relevance regarding the addressed question. It must be mentioned that each kind of cell needs specific conditions, which can complicate the running of 3D-multicellular structure culture.
It currently exists three main cell types that are used for 3D cell culture:
The main requirement from 2D to 3D cell cultures is to keep the cellular environment controlled and standardized as much as possible. To do so, it is important to provide enough nutrients and O2 to cells and to remove the waste products produced by the cells. (5) In 2D cell culture systems, the nutrients are provided in a homogeneous way, while in 3D cultures a gradient will appear due to the three-dimensional organization of cells. The inner cells are less in contact with nutrients and O2, whereas the external layer of the cell is directly in contact with the latter.
The communication between cells outside their neighborhood is restricted to diffusion, in the liquid phase, of secreted messenger molecules. The saturation of the supernatant does not help cellular communication. If the growth rate is not properly controlled, it could lead to necrosis of a part of the cell culture due to the lack of oxygen and nutrients. Necrotic cells will release messengers in the supernatant that will reach the distant cells and so disseminate the necrotic message within all the cell cultures.
Inside 3D cell cultures, the only restriction is related to the density of the culture. If the cell culture is overpopulated there will be a group of cells that will not receive enough nutrients and oxygen and they will die. The optimal density depends on the kind of cells; the culture surface, the available volume for the cell’s growth, and the 3D architecture itself of the culture.
Another requirement is related to the ability to monitor and analyze the distribution of different substances in a complex biological cell environment. One option to study the microenvironment of 3D cell culture is to use computational modeling. The accuracy of those models depends on the amount of input variables factors used in the simulation but there is still a need of experimental results to validate the models.
Since organs are the complex three-dimensional structure, it is necessary to better understand the processes and existing constraints while culturing in 3 dimensions. Before tackling complex organ-on-a-chip culture, simpler and more standardized models are needed: 3D cell culture. Thus, such models represent a first step in the understanding of the requirement for organ on chip manufacturing.
See also :
A Comparison between 2D and 3D Extracellular Matrices from Asmbio
INTRODUCTION ABOUT 3D CELL CULTURE from Elvesys
2D and 3D Cell Culture Comparison from News Medical
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