ダウンロード数: 200
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
j.isci.2022.104538.pdf | 3.36 MB | Adobe PDF | 見る/開く |
タイトル: | StemPanTox: a fast and wide-target drug assessment system for tailor-made safety evaluations using personalized iPS cells |
著者: | Yamane, Junko Wada, Takumi Otsuki, Hironori Inomata, Koji Suzuki, Mutsumi Hisaki, Tomoka Sekine, Shuichi Kouzuki, Hirokazu Kobayashi, Kenta Sone, Hideko Yamashita, Jun K. Osawa, Mitsujiro Saito, Megumu K. Fujibuchi, Wataru |
著者名の別形: | 山根, 順子 和田, 卓巳 大槻, 博礼 猪俣, 孝二 鈴木, 睦 久木, 友花 関根, 秀一 上月, 裕一 小林, 健太 曽根, 秀子 山下, 潤 大澤, 光次郎 齋藤, 潤 藤渕, 航 |
キーワード: | Induced pluripotent stem cell Embryonic stem cell Personalized iPS cell Drug discovery Chemical toxicity prediction Gene network Transfer learning |
発行日: | 15-Jul-2022 |
出版者: | Elsevier BV |
誌名: | iScience |
巻: | 25 |
号: | 7 |
論文番号: | 104538 |
抄録: | 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. |
記述: | 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. |
著作権等: | © 2022 The Author(s). This is an open access article under the Creative Commons Attribution 4.0 International license. |
URI: | http://hdl.handle.net/2433/274473 |
DOI(出版社版): | 10.1016/j.isci.2022.104538 |
PubMed ID: | 35754715 |
関連リンク: | https://www.cira.kyoto-u.ac.jp/j/pressrelease/news/220607-100000.html |
出現コレクション: | 学術雑誌掲載論文等 |
このアイテムは次のライセンスが設定されています: クリエイティブ・コモンズ・ライセンス