Endogenics Offers Services for Multiscale Modeling of Cellular Processes and Simulation of the Development, Dynamic Organization, and Function of Living Tissue

Virtual tissues services for biomedical research features high fidelity tissue simulation and modelling to grow virtual tissue from a single cell, giving unprecedented insight into lineage commitment phenomena of stem cells with insight into signalling pathways and detailed gene regulatory networks.With Endogenics complementing traditional techniques, researchers can simulate human cell development and tissue organization and provide new insights into mechanisms that determine biological outcomes, therapeutic response, and exposure consequences. Stem cell research, cancer research, drug analysis and testing, and disease treatment which are impeded by slow and awkward tools are now made much faster with Endogenics Virtual Tissues Services. To find out more information please click on the relevant request buttons or follow the link to the Endogenics website in the top right hand side corner.

Endogenics offers services for multiscale modeling of cellular processes and simulation of the development, dynamic organization, and function of living tissue. The models incorporate both detailed and abstract representations of cellular pathways such as signal transduction, metabolism, and gene expression, and so are suitable for studying tissue growth, interactions with the microenvironment, differentiation, lineage commitment, and other cell- or tissue-level processes. Integrating computer modeling and wet-bench approaches also enables design of genetically-modified cells and development of engineered cell lines with unique physiological properties using evolutionary search methods coupled with other techniques, including those listed below: analysis of data from individual cells, cell populations, or virtual tissues building, testing, & refinement of cell regulatory networks gene alterations (e.g., knockouts, knockdowns) micromanipulation (e.g., injections, cell ablations) optimization of synthetic network architecture