40 research outputs found
Deciphering the behavior of a new MOF and its composites under light at ensemble and single crystal levels: relevance to its photonic applications
StemPanTox: a fast and wide-target drug assessment system for tailor-made safety evaluations using personalized iPS cells
iPS細胞で人体への毒性物質をオールマイティに検出するStemPanTox. 京都大学プレスリリース. 2022-06-07.An alternative model that reliably predicts human-specific toxicity is necessary because the translatability of effects on animal models for human disease is limited to context. Previously, we developed a method that accurately predicts developmental toxicity based on the gene networks of undifferentiated human embryonic stem (ES) cells. Here, we advanced this method to predict adult toxicities of 24 chemicals in six categories (neurotoxins, cardiotoxins, hepatotoxins, two types of nephrotoxins, and non-genotoxic carcinogens) and achieved high predictability (AUC = 0.90–1.00) in all categories. Moreover, we screened for an induced pluripotent stem (iPS) cell line to predict the toxicities based on the gene networks of iPS cells using transfer learning of the gene networks of ES cells, and predicted toxicities in four categories (neurotoxins, hepatotoxins, glomerular nephrotoxins, and non-genotoxic carcinogens) with high performance (AUC = 0.82–0.99). This method holds promise for tailor-made safety evaluations using personalized iPS cells