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Mizuno M, Yori K, Takeuchi T, Yamaguchi T, Watanabe K, Tomaru Y, Shimizu N, Sekiya I. Cross-contamination risk and decontamination during changeover after cell-product processing. Regen Ther 2022; 22:30-38. [PMID: 36618490 PMCID: PMC9800260 DOI: 10.1016/j.reth.2022.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 11/24/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction During changeover in cell-product processing, it is essential to minimize cross-contamination risks. These risks differ depending on the patient from whom the cells were derived. Human error during manual cell-product processing increases the contamination risk in biosafety cabinets. Here, we evaluate the risk of cross-contamination during manual cell-processing to develop an evidence-based changeover method for biosafety cabinets. Methods Contaminant coverage was analyzed during simulated medium preparation, cell seeding, and waste liquid decanting by seven operators, classified by skill. Environmental bacteria were surveyed at four participating facilities. Finally, we assessed the effect of conventional UV irradiation in biosafety cabinets on bacteria and fungi that pose a cross-contamination risk. Results Under simulated conditions, scattered contamination occurred via droplets falling onto the surface from heights of 30 cm, and from bubbles rupturing at this height. Visible traces of contaminants were distributed up to 50 cm from the point of droplet impact, or from the location of the pipette tip when the bubble ruptured. In several facilities, we detected Bacillus subtilis, of which the associated endospores are highly resistant to disinfection. Irradiation at 50 mJ/cm2 effectively eliminated Bacillus subtilis vegetative cells and Aspergillus brasiliensis, which is highly resistant to UV. Bacillus subtilis endospores were eliminated at 100 mJ/cm2. Conclusions Under these simulated optimal conditions, UV irradiation successfully prevents cross-contamination. Therefore, following cell-product processing, monitoring the UV dose in the biosafety cabinet during cell changeover represents a promising method for reducing cross-contamination.
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Affiliation(s)
- Mitsuru Mizuno
- Center for Stem Cell and Regenerative Medicine, Tokyo Medical and Dental University (TMDU), 1-5-45, Bunkyo-ku, Yushima, Tokyo 113-8519, Japan,Corresponding author. Fax: +81-3-5803-0192.
| | - Kouichirou Yori
- Department of HeartSheet Business, Terumo Corporation, 1500 Inokuchi, Nakaicho, Ashigarakamigun, Kanagawa 259-0151, Japan
| | - Toshikazu Takeuchi
- Department of HeartSheet Business, Terumo Corporation, 1500 Inokuchi, Nakaicho, Ashigarakamigun, Kanagawa 259-0151, Japan
| | - Tetsuya Yamaguchi
- Department of HeartSheet Business, Terumo Corporation, 1500 Inokuchi, Nakaicho, Ashigarakamigun, Kanagawa 259-0151, Japan
| | - Ken Watanabe
- Center for Stem Cell and Regenerative Medicine, Tokyo Medical and Dental University (TMDU), 1-5-45, Bunkyo-ku, Yushima, Tokyo 113-8519, Japan
| | - Yasuhiro Tomaru
- Center for Stem Cell and Regenerative Medicine, Tokyo Medical and Dental University (TMDU), 1-5-45, Bunkyo-ku, Yushima, Tokyo 113-8519, Japan
| | - Norio Shimizu
- Center for Stem Cell and Regenerative Medicine, Tokyo Medical and Dental University (TMDU), 1-5-45, Bunkyo-ku, Yushima, Tokyo 113-8519, Japan
| | - Ichiro Sekiya
- Center for Stem Cell and Regenerative Medicine, Tokyo Medical and Dental University (TMDU), 1-5-45, Bunkyo-ku, Yushima, Tokyo 113-8519, Japan
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Mizuno M, Sugahara Y, Iwayama D, Miyashita N, Katano H, Sekiya I. Stress and motivation of cell processing operators: A pilot study of an online questionnaire survey. Regen Ther 2022; 21:547-552. [DOI: 10.1016/j.reth.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/15/2022] [Indexed: 11/06/2022] Open
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Ochiai K, Motozawa N, Terada M, Horinouchi T, Masuda T, Kudo T, Kamei M, Tsujikawa A, Matsukuma K, Natsume T, Kanda GN, Takahashi M, Takahashi K. A Variable Scheduling Maintenance Culture Platform for Mammalian Cells. SLAS Technol 2020; 26:209-217. [PMID: 33269985 PMCID: PMC7985857 DOI: 10.1177/2472630320972109] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Cell culturing is a basic experimental technique in cell biology and medical science. However, culturing high-quality cells with a high degree of reproducibility relies heavily on expert skills and tacit knowledge, and it is not straightforward to scale the production process due to the education bottleneck. Although many automated culture systems have been developed and a few have succeeded in mass production environments, very few robots are permissive of frequent protocol changes, which are often required in basic research environments. LabDroid is a general-purpose humanoid robot with two arms that performs experiments using the same tools as humans. Combining our newly developed AI software with LabDroid, we developed a variable scheduling system that continuously produces subcultures of cell lines without human intervention. The system periodically observes the cells on plates with a microscope, predicts the cell growth curve by processing cell images, and decides the best times for passage. We have succeeded in developing a system that maintains the cultures of two HEK293A cell plates with no human intervention for 192 h.
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Affiliation(s)
- Koji Ochiai
- Laboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan
| | - Naohiro Motozawa
- Laboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan.,Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Japan
| | - Motoki Terada
- Laboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan
| | - Takaaki Horinouchi
- Laboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan.,Laboratory for Multiscale Biosystem Dynamics, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan
| | - Tomohiro Masuda
- Laboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan
| | - Taku Kudo
- Robotic Biology Institute Inc., Koto-ku, Tokyo, Japan
| | | | - Akitaka Tsujikawa
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Japan
| | | | - Tohru Natsume
- Robotic Biology Institute Inc., Koto-ku, Tokyo, Japan.,Department of Life Science and Biotechnology, Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Koto-ku, Tokyo, Japan
| | - Genki N Kanda
- Laboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan.,Laboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan.,Robotic Biology Institute Inc., Koto-ku, Tokyo, Japan
| | - Masayo Takahashi
- Laboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan.,VisionCare Inc., Chuo-ku, Kobe, Hyogo, Japan
| | - Koichi Takahashi
- Laboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan
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