Abstract
The effective long-term cryopreservation of human mesenchymal stem cells is an essential prerequisite step and represents a critical approach for their sustained supply in basic research, regenerative medicine, and tissue engineering applications. Off-the-shelf availability of human umbilical cord-derived mesenchymal stromal cells (UC-MSCs) for regenerative medicine application requires the development of nontoxic, safe, and efficient protocols for cryopreservation. In the long-term low-temperature storage process of cells, traditional manual storage has a great impact on cell activity, recovery, and function due to repeated exposure of cells to room temperature. To minimize the effect of fluctuation in ambient temperature on stored cells, we designed an automatic cryopreservation system that handles cells under controlled temperatures. In this work, UC-MSCs were utilized to investigate and compare the influence of manual and automatic cryopreservation approaches. To simulate the manual process, the UC-MSCs were transferred back and forth repeatedly (up to 400 times) between the liquid nitrogen (LN2) tank (−150 °C) and room temperature by a robotic arm. Similarly, the UC-MSCs from the same batch were collected and transferred repeatedly between two storage units by the automatic cryopreservation system, where the cells were maintained below-150 °C throughout the cold chain process. Viability, percent recovery, adherence capability, cell proliferation, and multilineage differentiation ability were assessed for UC-MSCs. Compared to the manual approach, UC-MSCs handled by the automatic system demonstrated higher viability, percent recovery, and cell proliferation, as well as improved adherence to culture plate with greater potential in multilineage differentiation after 400 temperature cycles. The described entire cold chain system may provide a powerful tool to develop safe, reliable and efficient protocols for manufacturing and banking of UC-MSCs, improving their off-the-shelf availability for regenerative medicine applications.
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