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.

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.

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.