MODEL SIMULATION OF THE EFFECT OF NANOPATTERN ON GROWTH OF STEM CELLS USING PARTICLE-BASED MODELING METHODS

• Main Author: Dwi Mauluda, Alfikri
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/63118
• Institution: Institut Teknologi Bandung

Stem cells play an important in medicine, especially in tissue growth. However, simulations that support stem cell growth are rare. In this study, stem cell simulation modeling was carried out using the molecular dynamics method approach. Stem cell simulation mechanisms include movement, cell movement, cell interactions and interactions with their environment. In the first research conducted was a simulation of cell planting / releasing in a defined pattern plane. The approach method used in this study uses the method of fine hydrodynamic particles, Lennard-Jones Potential, and Euler. In this study, a wide pattern variation with a width pattern of 15 and 30. However, in the simulation of placing cells on a patterned membrane, the difference is not too significant. Flat and convex is due to interactions between cells and also the number of cells on the top surface of the pattern. In the development of the research, additional parameters such as surface tension, cell division, adhesion force with pattern planes will be added. After placing the cell on the membrane, the next process is the growth and movement of actin. In the growth of actin cells, two variations of pattern width were used to see the effect of pattern width on actin movement. In the growth of actin on the membrane, patterns with wide distances of actin tend to be difficult to interact compared to patterns with small distances. Furthermore, simulations for actin movement, three variations of actin movement were carried out, including without force, with opposite force and positive direction. In all three movements, movement characteristics can be indicated that correspond to actin propagation characteristics. Furthermore, a three-dimensional simulation was developed to compare the simulation results of the actual cell state with the simulation. Actin movement for simulation can approximate or represent the movement of actin in an interacting stem cell.