Renaud Schiappa

TL;DR: A new classification of CC into six molecular subtypes that arise through distinct biological pathways that improves the current disease stratification based on clinicopathological variables and common DNA markers is described.

TL;DR: The data indicate that these six molecular subgroups represent well-defined clinico-biological entities of breast cancer and their identification should facilitate the detection of novel prognostic factors or therapeutical targets in breast cancer.

TL;DR: The simulations showed that DARPP-32 is not only a robust signal integrator, but that its response also depends on the delay between cAMP and calcium signals affecting the response to the latter, as well as the proposed regulation of protein phosphatase-2A by calcium, which can account for the observed decrease of Threonine 75 phosphorylation upon glutamate receptor activation.

TL;DR: Using the Cancer Genome Atlas data set, it is demonstrated that GBM samples that had an LGG-like hypermethylated profile had a high rate of IDH1 mutations and a better outcome, suggesting that epigenetic alterations occur early during gliomagenesis.

TL;DR: It is shown how integration of heterogeneous data in ANISEED can provide a system-level understanding of the developmental program through the automatic inference of gene regulatory interactions, the identification of inducing signals, and the discovery and explanation of novel asymmetric divisions.