Computer-aided exploration of multiobjective optimal temperature profiles in slow freezing for human induced pluripotent stem cells

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-03-20 DOI:10.1016/j.cryobiol.2024.104885

Yusuke Hayashi , Yuki Uno , Masahiro Kino-oka , Hirokazu Sugiyama

{"title":"Computer-aided exploration of multiobjective optimal temperature profiles in slow freezing for human induced pluripotent stem cells","authors":"Yusuke Hayashi , Yuki Uno , Masahiro Kino-oka , Hirokazu Sugiyama","doi":"10.1016/j.cryobiol.2024.104885","DOIUrl":null,"url":null,"abstract":"<div><p>Human induced pluripotent stem (hiPS) cells have demonstrated promising potential in regenerative medical therapeutics. After successful clinical trials, the demand for hiPS cells has steadily increased. Therefore, the optimization of hiPS cell freezing processes for storage and transportation is essential. Here, we presented a computer-aided exploration of multiobjective optimal temperature profiles in slow freezing for hiPS cells. This study was based on a model that calculates cell survival rates after thawing, and the model was extended to evaluate cell potentials until 24 h after seeding. To estimate parameter values for this extension, freezing experiments were performed using constant cooling rates. Using quality and productivity indicators, we evaluated 16,206 temperature profiles using our model, and a promising profile was obtained. Finally, an experimental investigation of the profile was undertaken, and the contribution of the temperature profile to both quality and productivity was confirmed.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0011224024000403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}

引用次数: 0

Abstract

Human induced pluripotent stem (hiPS) cells have demonstrated promising potential in regenerative medical therapeutics. After successful clinical trials, the demand for hiPS cells has steadily increased. Therefore, the optimization of hiPS cell freezing processes for storage and transportation is essential. Here, we presented a computer-aided exploration of multiobjective optimal temperature profiles in slow freezing for hiPS cells. This study was based on a model that calculates cell survival rates after thawing, and the model was extended to evaluate cell potentials until 24 h after seeding. To estimate parameter values for this extension, freezing experiments were performed using constant cooling rates. Using quality and productivity indicators, we evaluated 16,206 temperature profiles using our model, and a promising profile was obtained. Finally, an experimental investigation of the profile was undertaken, and the contribution of the temperature profile to both quality and productivity was confirmed.

查看原文本刊更多论文

计算机辅助探索人类诱导多能干细胞慢速冷冻的多目标最佳温度曲线。

人类诱导多能干细胞（hiPS）在再生医学治疗中展现出了巨大的潜力。临床试验成功后，对 hiPS 细胞的需求稳步增长。因此，优化 hiPS 细胞冷冻储存和运输过程至关重要。在此，我们提出了一种计算机辅助方法，用于探索 hiPS 细胞慢速冷冻过程中的多目标最佳温度曲线。这项研究基于一个计算解冻后细胞存活率的模型，并将该模型扩展到评估播种后 24 小时内的细胞潜能。为了估算这一扩展的参数值，我们使用恒定的冷却速率进行了冷冻实验。利用质量和生产指标，我们使用模型对 16206 个温度曲线进行了评估，得出了一个很有前景的曲线。最后，我们对温度曲线进行了实验研究，证实了温度曲线对质量和产量的贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464