Abstract

For producing high-quality induced pluripotent stem (iPS) cells in a static culture, initial placement of cells is one of the most important factors. Dense distribution of cells increases the risk of cell death. Thus, the cells need to be uniformly distributed during the preprocess of a static culture. This process depends on the operator’s experiences and has not been standardized. In this study, the authors have performed numerical simulations to investigate the efficient of cell dispersion by using OpenFOAM. The numerical domain is a square-shaped dish. Two shaking methods, one-direction and multi-direction reciprocal shaking, were considered and calculations were conducted under five oscillation frequencies. The cell colony was assumed as a solid spherical particle. The initial particles were densely positioned at the center. The numerical result showed that the multi-direction reciprocal shaking was more effective to disperse the particles than the one-direction reciprocal shaking. In addition, almost all particles at low frequency sank to the bottom and hardly dispersed. These results indicate that strong fluctuations can lift particles from the bottom, and frequent change of flow direction makes distribution area wide.

Highlights

  • Induced Pluripotent Stem cells have the ability to differentiate into a lot of tissue cells [1,2]

  • The authors investigated the effect of the shaking methods

  • Particles were distributed in a single line in the one-direction reciprocal shaking (ORS) method

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Summary

Introduction

Induced Pluripotent Stem (iPS) cells have the ability to differentiate into a lot of tissue cells [1,2]. Compared with Embryonic Stem (ES) cells [3] that have similar characteristics to iPS cells, iPS cells do not have ethical and immune problems because iPS cells can be produced from patient’s somatic cells, and they are expected to contribute to regenerative medicine and drug development. Culturing iPS cells needs skillful technicians, so this process depends on operator’s experience, and a large quantity of cells cannot be cultured at one operation. Development of the automation and mass production method is required. The authors focused on static culture with the aim to automate the culturing operation

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