EGFR signalling as a negative regulator of Notch1 gene transcription and function in proliferating keratinocytes and cancer.

The Notch1 gene has an important role in mammalian cell-fate decision and tumorigenesis. Upstream control mechanisms for transcription of this gene are still poorly understood. In a chemical genetics screen for small molecule activators of Notch signalling, we identified epidermal growth factor receptor (EGFR) as a key negative regulator of Notch1 gene expression in primary human keratinocytes, intact epidermis and skin squamous cell carcinomas (SCCs). The underlying mechanism for negative control of the Notch1 gene in human cells, as well as in a mouse model of EGFR-dependent skin carcinogenesis, involves transcriptional suppression of p53 by the EGFR effector c-Jun. Suppression of Notch signalling in cancer cells counteracts the differentiation-inducing effects of EGFR inhibitors while, at the same time, synergizing with these compounds in induction of apoptosis. Thus, our data reveal a key role of EGFR signalling in the negative regulation of Notch1 gene transcription, of potential relevance for combinatory approaches for cancer therapy.

Cell-free reconstitution of microautophagy in yeast.

Microautophagy is the direct uptake of soluble or particulate cellular constituents into lysosomes. Here, I describe methods to reconstitute and study this process in vitro, using vacuoles (lysosomes) from the yeast Saccharomyces cerevisiae as model organelles. Protocols to grow the cells, isolate vacuoles from them, and to induce microautophagy of soluble tracers are presented.

Efficacité des analyses de Gumbel pour déterminer les précipitations journalières extrêmes en Suisse

Les précipitations journalières extrêmes centennales ont été estimées à partir d'analyses de Gumbel effectuées sur des séries de mesures pluviométriques à 151 endroits en Suisse pour 4 périodes de 30 ans différentes. Ces estimations ont été comparées avec les valeurs journalières maximales mesurées durant les 100 dernières années (1911-2010) afin de tester l'efficacité de ces analyses. Cette comparaison révèle que ces dernières aboutissent à de bons résultats pour 50 à 60% des stations de ce pays à partir des séries de mesures pluviométriques de 1961-1990 et de 1981-2010. Par contre, les précipitations journalières centennales estimées à partir des séries de mesures de 1931-1960 et surtout de 1911-1940 sont sous-estimées pour la plupart des stations. Cette sous-estimation résulte de l'augmentation des précipitations journalières maximales mesurées de 1911 à 2010 pour 90% des stations en Suisse.

MIMAS 3.0 is a Multiomics Information Management and Annotation System.

BACKGROUND: DNA sequence integrity, mRNA concentrations and protein-DNA interactions have been subject to genome-wide analyses based on microarrays with ever increasing efficiency and reliability over the past fifteen years. However, very recently novel technologies for Ultra High-Throughput DNA Sequencing (UHTS) have been harnessed to study these phenomena with unprecedented precision. As a consequence, the extensive bioinformatics environment available for array data management, analysis, interpretation and publication must be extended to include these novel sequencing data types. DESCRIPTION: MIMAS was originally conceived as a simple, convenient and local Microarray Information Management and Annotation System focused on GeneChips for expression profiling studies. MIMAS 3.0 enables users to manage data from high-density oligonucleotide SNP Chips, expression arrays (both 3'UTR and tiling) and promoter arrays, BeadArrays as well as UHTS data using MIAME-compliant standardized vocabulary. Importantly, researchers can export data in MAGE-TAB format and upload them to the EBI's ArrayExpress certified data repository using a one-step procedure. CONCLUSION: We have vastly extended the capability of the system such that it processes the data output of six types of GeneChips (Affymetrix), two different BeadArrays for mRNA and miRNA (Illumina) and the Genome Analyzer (a popular Ultra-High Throughput DNA Sequencer, Illumina), without compromising on its flexibility and user-friendliness. MIMAS, appropriately renamed into Multiomics Information Management and Annotation System, is currently used by scientists working in approximately 50 academic laboratories and genomics platforms in Switzerland and France. MIMAS 3.0 is freely available via http://multiomics.sourceforge.net/.