{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Warner RM"],"funding":["NIBIB NIH HHS"],"pagination":["1-9"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9529850"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["108"],"pubmed_abstract":["Vitrification is a promising cryopreservation technique for complex specimens such as tissues and organs. However, it is challenging to identify mixtures of cryoprotectants (CPAs) that prevent ice formation without exerting excessive toxicity. In this work, we developed a multi-CPA toxicity model that predicts the toxicity kinetics of mixtures containing five of the most common CPAs used in the field (glycerol, dimethyl sulfoxide (DMSO), propylene glycol, ethylene glycol, and formamide). The model accounts for specific toxicity, non-specific toxicity, and interactions between CPAs. The proposed model shows reasonable agreement with training data for single and binary CPA solutions, as well as ternary CPA solution validation data. Sloppy model analysis was used to examine the model paramete"],"journal":["Cryobiology"],"pubmed_title":["Multiple cryoprotectant toxicity model for vitrification solution optimization."],"pmcid":["PMC9529850"],"funding_grant_id":["R01 EB027203"],"pubmed_authors":["Eroglu A","Benson JD","Warner RM","Brown KS","Higgins AZ"],"additional_accession":[]},"is_claimable":false,"name":"Multiple cryoprotectant toxicity model for vitrification solution optimization.","description":"Vitrification is a promising cryopreservation technique for complex specimens such as tissues and organs. However, it is challenging to identify mixtures of cryoprotectants (CPAs) that prevent ice formation without exerting excessive toxicity. In this work, we developed a multi-CPA toxicity model that predicts the toxicity kinetics of mixtures containing five of the most common CPAs used in the field (glycerol, dimethyl sulfoxide (DMSO), propylene glycol, ethylene glycol, and formamide). The model accounts for specific toxicity, non-specific toxicity, and interactions between CPAs. The proposed model shows reasonable agreement with training data for single and binary CPA solutions, as well as ternary CPA solution validation data. Sloppy model analysis was used to examine the model paramete","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-05T09:42:47.542Z","creation":"2025-04-05T09:42:47.542Z"},"accession":"S-EPMC9529850","cross_references":{"pubmed":["36113568"],"doi":["10.1016/j.cryobiol.2022.09.002"]}}