Deep models of integrated multiscale molecular data decipher the endothelial cell response to ionizing radiation

iScience

Philippe Chan¹  Olivier Guipaud²  Ségolène Ladaigue²  Béatrice Micheau³  Sonia Selbonne⁴  Fabien Milliat⁴  Mohamed-Amine Benadjaoud⁵  Valérie Buard⁶  David Vaudry⁶  Ian Morilla⁶  Jean-Charles Martin⁶  Ljubica Svilar⁶  Georges Tarlet⁶  Maâmar Souidi⁶  Agnès François⁶  Vincent Paget⁶  Fanny Caffin⁷ 

[1] Corresponding author;CriBioM, Criblage Biologique Marseille, Faculté de Médecine de la Timone, 13205 Marseille Cedex 01, France;Sorbonne University, Doctoral College, 75005 Paris, France;Aix Marseille Univ, INSERM, INRA, C2VN, 13007 Marseille, France;IRSN, Radiobiology of Accidental Exposure Laboratory (LRAcc), Human Health Radiation Protection Unit, 92260 Fontenay-Aux-Roses, France;IRSN, Radiobiology of Medical Exposure Laboratory (LRMed), Human Health Radiation Protection Unit, 92260 Fontenay-Aux-Roses, France;Normandie Univ, UNIROUEN, PISSARO Proteomic Platform, 76821 Mont Saint-Aignan, France;

关键词: Radiation biology;    Systems biology;    Omics;    Proteomics;    Metabolomics;    Transcriptomics;   

DOI  :  

来源: DOAJ

【 摘 要 】

Summary: The vascular endothelium is a hot spot in the response to radiation therapy for both tumors and normal tissues. To improve patient outcomes, interpretable systemic hypotheses are needed to help radiobiologists and radiation oncologists propose endothelial targets that could protect normal tissues from the adverse effects of radiation therapy and/or enhance its antitumor potential. To this end, we captured the kinetics of multi-omics layers—i.e. miRNome, targeted transcriptome, proteome, and metabolome—in irradiated primary human endothelial cells cultured in vitro. We then designed a strategy of deep learning as in convolutional graph networks that facilitates unsupervised high-level feature extraction of important omics data to learn how ionizing radiation-induced endothelial dysfunction may evolve over time. Last, we present experimental data showing that some of the features identified using our approach are involved in the alteration of angiogenesis by ionizing radiation.

【 授权许可】

Unknown