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

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.

Detecting time periods of differential gene expression using Gaussian processes: an application to endothelial cells exposed to radiotherapy dose fraction.

MOTIVATION: Identifying the set of genes differentially expressed along time is an important task in two-sample time course experiments. Furthermore, estimating at which time periods the differential expression is present can provide additional insight into temporal gene functions. The current differential detection methods are designed to detect difference along observation time intervals or on single measurement points, warranting dense measurements along time to characterize the full temporal differential expression patterns. RESULTS: We propose a novel Bayesian likelihood ratio test to estimate the differential expression time periods. Applying the ratio test to systems of genes provides the temporal response timings and durations of gene expression to a biological condition. We introduce a novel non-stationary Gaussian process as the underlying expression model, with major improvements on model fitness on perturbation and stress experiments. The method is robust to uneven or sparse measurements along time. We assess the performance of the method on realistically simulated dataset and compare against state-of-the-art methods. We additionally apply the method to the analysis of primary human endothelial cells under an ionizing radiation stress to study the transcriptional perturbations over 283 measured genes in an attempt to better understand the role of endothelium in both normal and cancer tissues during radiotherapy. As a result, using the cascade of differential expression periods, domain literature and gene enrichment analysis, we gain insights into the dynamic response of endothelial cells to irradiation. AVAILABILITY AND IMPLEMENTATION: R package 'nsgp' is available at www.ibisc.fr/en/logiciels_arobas.

Efficient in toto targeted recombination in mouse liver by meganuclease-induced double-strand break.

BACKGROUND: Sequence-specific endonucleases with large recognition sites can cleave DNA in living cells, and, as a consequence, stimulate homologous recombination (HR) up to 10 000-fold. The recent development of artificial meganucleases with chosen specificities has provided the potential to target any chromosomal locus. Thus, they may represent a universal genome engineering tool and seem to be very promising for acute gene therapy. However, in toto applications depend on the ability to target somatic tissues as well as the proficiency of somatic cells to perform double-strand break (DSB)-induced HR. METHODS: In order to investigate DSB-induced HR in toto, we have designed transgenic mouse lines carrying a LagoZ gene interrupted by one I-SceI cleavage site surrounded by two direct repeats. The LagoZ gene can be rescued upon cleavage by I-SceI and HR between the two repeats in a process called single-strand annealing. beta-Galactosidase activity is monitored in liver after tail vein injection of adenovirus expressing the meganuclease I-SceI. RESULTS: In toto staining revealed a strong dotted pattern in all animals injected with adenovirus expressing I-SceI. In contrast, no staining could be detected in the control. beta-Galactosidase activity in liver extract, tissue section staining, and PCR analysis confirmed the presence of the recombined LagoZ gene. CONCLUSIONS: We demonstrate for the first time that meganucleases can be successfully delivered in animal and induce targeted genomic recombination in mice liver in toto. These results are an essential step towards the use of designed meganucleases and show the high potential of this technology in the field of gene therapy.