Biomarkers of nanomaterials hazard from multi-layer data

There is an urgent need to apply effective, data-driven approaches to reliably predict engineered nanomaterial (ENM) toxicity. Here we introduce a predictive computational framework based on the molecular and phenotypic effects of a large panel of ENMs across multiple in vitro and in vivo models. Ou...

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Detalles Bibliográficos
Autores principales: Fortino, Vittorio, Kinaret, Pia Anneli Sofia, Fratello, Michele, Serra, Angela, Saarimäki, Laura Aliisa, Gallud, Audrey, Gupta, Govind, Vales, Gerard, Correia, Manuel, Rasool, Omid, Ytterberg, Jimmy, Monopoli, Marco, Skoog, Tiina, Ritchie, Peter, Moya, Sergio, Vázquez-Campos, Socorro, Handy, Richard, Grafström, Roland, Tran, Lang, Zubarev, Roman, Lahesmaa, Riitta, Dawson, Kenneth, Loeschner, Katrin, Larsen, Erik Husfeldt, Krombach, Fritz, Norppa, Hannu, Kere, Juha, Savolainen, Kai, Alenius, Harri, Fadeel, Bengt, Greco, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249793/
https://www.ncbi.nlm.nih.gov/pubmed/35778420
http://dx.doi.org/10.1038/s41467-022-31609-5

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