Sphingosine in apoptosis signaling

The sphingolipid metabolites ceramide, sphingosine, and sphingosine 1-phosphate contribute to controlling cell proliferation and apoptosis. Ceramide and its catabolite sphingosine act as negative regulators of cell proliferation and promote apoptosis. Conversely, sphingosine 1-phosphate, formed by phosphorylation of sphingosine by a sphingosine kinase, has been involved in stimulating cell growth and inhibiting apoptosis. As the phosphorylation of sphingosine diminishes apoptosis, while dephosphorylation of sphingosine 1-phosphate potentiates it, the role of sphingosine as a messenger of apoptosis is of importance. Herein, the effects of sphingosine on diverse signaling pathways implicated in the apoptotic process are reviewed.     

Cardiac sodium channel Na(v)1.5 interacts with and is regulated by the protein tyrosine phosphatase PTPH1

In order to identify proteins interacting with the cardiac voltage-gated sodium channel Na(v)1.5, we used the last 66 amino acids of the C-terminus of the channel as bait to screen a human cardiac cDNA library. We identified the protein tyrosine phosphatase PTPH1 as an interacting protein. Pull-down experiments confirmed the interaction, and indicated that it depends on the PDZ-domain binding motif of Na(v)1.5. Co-expression experiments in HEK293 cells showed that PTPH1 shifts the Na(v)1.5 availability relationship toward hyperpolarized potentials, whereas an inactive PTPH1 or the tyrosine kinase Fyn does the opposite. The results of this study suggest that tyrosine phosphorylation destabilizes the inactivated state of Na(v)1.5.     

Application of silica aerogel encapsulated lipases in the synthesis of biodiesel by transesterification reactions

Two types of commercial lipases preparations, one from Burkholderia cepacia, the other one from Candida antartica, were encapsulated in silica aerogels reinforced with silica quartz fibre felt and dried by the CO₂ supercritical technique. These immobilized biocatalysts were applied in biodiesel synthesis by transesterification of sunflower seed oil with methyl acetate. They were found to be efficient even with mixtures of both substrates without any solvent addition. The aerogel encapsulation technique made it possible to maintain the enzymes in a dispersion state similar to the dispersion prevailing in an aqueous solution, even for further use in organic hydrophobic media. In transesterification in excess iso-octane, the two lipases encapsulated in aerogels made from 40% MTMS, were found to have activities relatively close to each other and comparable with commercial Novozyme 435. On the other in transesterification with mixture of oil and methyl acetate without any solvent, the kinetics were severely limited by substrate diffusion inside the aerogels. This was particularly true with the C. antartica, so that the corresponding aerogel encapsulated enzyme was much less active than commercial Novozyme 435, although it improved after a few tests.     

A cyp19a1b‐gfp (aromatase B) transgenic zebrafish line that expresses GFP in radial glial cells

Aromatase is an enzyme that catalyzes the synthesis of estrogen in gonads and brain. Teleost fish express aromatase (AroB) strongly in the brain facilitating its detailed examination. To understand the function of AroB in the brain, we generated transgenic zebrafish that expresses green fluorescent protein (GFP) driven by the brain aromatase cyp19a1b promoter. GFP was found in the radial glial cells of transgenic larvae and adult fish that overlap with AroB immunoreactivity in the correct temporal and spatial pattern. GFP was also coexpressed with radial cell marker BLBP, but was not in neurons. In addition, GFP expression in the radial glial cells was stimulated by estrogen, same as endogenous AroB expression. Thus, this transgenic line faithfully mimics the regulation of AroB expression in radial glial cells. It provides a powerful tool to further characterize progenitor radial cells in adult and developing fish and to evaluate estrogenic activities of xenoestrogens and phytoestrogens. genesis 47:67–73, 2009. © 2008 Wiley‐Liss, Inc.     

A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood

The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on the maximum- likelihood principle, which clearly satisfies these requirements. The core of this method is a simple hill-climbing algorithm that adjusts tree topology and branch lengths simultaneously. This algorithm starts from an initial tree built by a fast distance-based method and modifies this tree to improve its likelihood at each iteration. Due to this simultaneous adjustment of the topology and branch lengths, only a few iterations are sufficient to reach an optimum. We used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance of distance-based and parsimony approaches. The reduction of computing time is dramatic in comparison with other maximum-likelihood packages, while the likelihood maximization ability tends to be higher. For example, only 12 min were required on a standard personal computer to analyze a data set consisting of 500 rbcL sequences with 1,428 base pairs from plant plastids, thus reaching a speed of the same order as some popular distance-based and parsimony algorithms. This new method is implemented in the PHYML program, which is freely available on our web page: http://www.lirmm.fr/w3ifa/MAAS/.     

Inventory and monitoring of wine microbial consortia

The evolution of the wine microbial ecosystem is generally restricted to Saccharomyces cerevisiae and Oenococcus oeni, which are the two main agents in the transformation of grape must into wine by acting during alcoholic and malolactic fermentation, respectively. But others species like the yeast Brettanomyces bruxellensis and certain ropy strains of Pediococcus parvulus can spoil the wine. The aim of this study was to address the composition of the system more precisely, identifying other components. The advantages of the polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) approach to wine microbial ecology studies are illustrated by bacteria and yeast species identification and their monitoring at each stage of wine production. After direct DNA extraction, PCR-DGGE was used to make the most exhaustive possible inventory of bacteria and yeast species found in a wine environment. Phylogenetic neighbor-joining trees were built to illustrate microbial diversity. PCR-DGGE was also combined with population enumeration in selective media to monitor microbial changes at all stages of production. Moreover, enrichment media helped to detect the appearance of spoilage species. The genetic diversity of the wine microbial community and its dynamics during winemaking were also described. Most importantly, our study provides a better understanding of the complexity and diversity of the wine microbial consortium at all stages of the winemaking process: on grape berries, in must during fermentation, and in wine during aging. On grapes, 52 different yeast species and 40 bacteria could be identified. The diversity was dramatically reduced during winemaking then during aging. Yeast and lactic acid bacteria were also isolated from very old vintages. B. bruxellensis and O. oeni were the most frequent.     

Stop codon recognition in ciliates: Euplotes release factor does not respond to reassigned UGA codon

In eukaryotes, the polypeptide release factor 1 (eRF1) is involved in translation termination at all three stop codons. However, the mechanism for decoding stop codons remains unknown. A direct interaction of eRF1 with the stop codons has been postulated. Recent studies focus on eRF1 from ciliates in which some stop codons are reassigned to sense codons. Using an in vitro assay based on mammalian ribosomes, we show that eRF1 from the ciliate Euplotes aediculatus responds to UAA and UAG as stop codons and lacks the capacity to decipher the UGA codon, which encodes cysteine in this organism. This result strongly suggests that in ciliates with variant genetic codes eRF1 does not recognize the reassigned codons. Recent hypotheses describing stop codon discrimination by eRF1 are not fully consistent with the set of eRF1 sequences available so far and require direct experimental testing.