Technology Features & Specifications
A multi-component cell model with features like nucleus membranes, cytoskeleton and chromatin fibers is developed in this technology. This platform has the ability to predict the cell behaviour in response to the substrate characteristics on which they are cultured. Information of the cell behaviour in response to the different substrates such as cell and nucleus shape variations and chromatin conformations can be easily tracked and captured. With adequate and proper parameters being used, the model is not only capable of qualitative prediction of the shape and conformation of the cells but can also provide quantitative results. The results predicted based on this model is also proven to correlate well with experimental outcomes and could be an efficient and fast high-throughput method of optimising parameters in the fabrication of optimal cell culture substrates.
This technology allows for a better understanding of how cells sense and respond to extracellular matrix. The mechanisms involved in shape-induced physical differentiation of stem cells can also be better understood with this predictive model. Such knowledge can then be applied to the development of optimised cell substrates in an efficient and high-throughput manner. In turn, these substrates have translational impact as it is able to easily produce target desired stem cell phenotypes. Further applications include the efficient prevention or prediction of diseases via more efficient in vitro drug screening and cell therapies.
Market Trends and Opportunities
Computational biology is the application of mathematical modelling, theoretical methods and computer aided simulation to study biological systems. With the increased need to more efficiently understand biological systems at a molecular level, the use of computational biology and its application in improving clinical outcomes is expected to grow rapidly, at a CAGR of 21.3% worldwide.
- Reliable, accurate prediction and qualification of cell behaviours in response to different micro- or nano-environmental cues
- Reliable, efficient and fast high-throughput method for quick development of optimal cell culture substrates for various cell applications
- Customizable for other specific cell types to provide quantitative behaviour of MSCs