Lack of Liver X Receptors Leads to Cell Proliferation in a Model of Mouse Dorsal Prostate Epithelial Cell

Recent studies underline the implication of Liver X Receptors (LXRs) in several prostate diseases such as benign prostatic hyperplasia (BPH) and prostate cancer. In order to understand the molecular mechanisms involved, we derived epithelial cells from dorsal prostate (MPECs) of wild type (WT) or Lxrαβ−/− mice. In the WT MPECs, our results show that LXR activation reduces proliferation and correlates with the modification of the AKT-survival pathway. Moreover, LXRs regulate lipid homeostasis with the regulation of Abca1, Abcg1 and Idol, and, in a lesser extent, Srebp1, Fas and Acc. Conversely cells derived from Lxrαβ−/− mice show a higher basal phosphorylation and consequently activation of the survival/proliferation transduction pathways AKT and MAPK. Altogether, our data point out that the cell model we developed allows deciphering the molecular mechanisms inducing the cell cycle arrest. Besides, we show that activated LXRs regulate AKT and MAPK transduction pathways and demonstrate that LXRs could be good pharmacological targets in prostate disease such as cancer.     

A genome‐wide screen identifies genes that suppress the accumulation of spontaneous mutations in young and aged yeast cells

To ensure proper transmission of genetic information, cells need to preserve and faithfully replicate their genome, and failure to do so leads to genome instability, a hallmark of both cancer and aging. Defects in genes involved in guarding genome stability cause several human progeroid syndromes, and an age‐dependent accumulation of mutations has been observed in different organisms, from yeast to mammals. However, it is unclear whether the spontaneous mutation rate changes during aging and whether specific pathways are important for genome maintenance in old cells. We developed a high‐throughput replica‐pinning approach to screen for genes important to suppress the accumulation of spontaneous mutations during yeast replicative aging. We found 13 known mutation suppression genes, and 31 genes that had no previous link to spontaneous mutagenesis, and all acted independently of age. Importantly, we identified PEX19, encoding an evolutionarily conserved peroxisome biogenesis factor, as an age‐specific mutation suppression gene. While wild‐type and pex19Δ young cells have similar spontaneous mutation rates, aged cells lacking PEX19 display an elevated mutation rate. This finding suggests that functional peroxisomes may be important to preserve genome integrity specifically in old cells.     

Inhalation pressure distributions for medical gas mixtures calculated in an infant airway morphology model

A numerical pressure loss model previously used for adult human airways has been modified to simulate the inhalation pressure distribution in a healthy 9-month-old infant lung morphology model. Pressure distributions are calculated for air as well as helium and xenon mixtures with oxygen to investigate the effects of gas density and viscosity variations for this age group. The results indicate that there are significant pressure losses in infant extrathoracic airways due to inertial effects leading to much higher pressures to drive nominal flows in the infant airway model than for an adult airway model. For example, the pressure drop through the nasopharynx model of the infant is much greater than that for the nasopharynx model of the adult; that is, for the adult-versus-child the pressure differences are 0.08 cm H₂O versus 0.4 cm H₂O, 0.16 cm H₂O versus 1.9 cm H₂O and 0.4 cm H₂O versus 7.7 cm H₂O, breathing helium–oxygen (78/22%), nitrogen–oxygen (78/22%) and xenon–oxygen (60/40%), respectively. Within the healthy lung, viscous losses are of the same order for the three gas mixtures, so the differences in pressure distribution are relatively small.     

On The Catalytic Mechanism of Adenosylhomocysteine/Methylthioadenosine Nucleosidase From E. coli.

Abstract

AdoHcy/MTA nucleosidase has been under scrutiny in a series of studies to explore its catalytic mechanism.     

The genus Aphidura (Hemiptera,Aphididae) in the collection of the Muséum national d’Histoire naturelle of?Paris,with six new species

Specimens were studied of 65 samples of the genus Aphidura (Aphididae, Aphidinae, Macrosiphini) from the collection of the Muséum national d’Histoire naturelle (Paris). The possible synonymies of three pairs of species are discussed. New aphid host plant relationships are reported for Aphidura bozhkoae, Aphidura delmasi, Aphidura ornata, Aphidura pannonica and Aphidura picta; this last species is recorded for first time from Afghanistan. The record of Aphidura pujoli from Pakistan is refuted. The fundatrices, oviparous females and males of Aphidura delmasi are described. Six new species are established: Aphidura gallica sp. n. and Aphidura amphorosiphon sp. n. from specimens caught on species of Silene (Caryophyllaceae) from France and Iran, respectively, Aphidura pakistanensis sp. n., Aphidura graeca sp. n. and Aphidura urmiensis sp. n. from specimens caught on species of Dianthus, Gypsophila and Spergula (Caryophyllaceae) from Pakistan, Greece and Iran, respectively, and Aphidura iranensis sp. n. from specimens caught on Prunus sp. from Iran. Modifications are made to the keys by Blackman and Eastop to aphids living on Dianthus, Gypsophyla, Silene, Spergula and Prinsepia and Prunus (Rosaceae). An identification key to apterous viviparous females of species of Aphidura is also provided.     

Uncovering Wolbachia Diversity upon Artificial Host Transfer

The common endosymbiotic Wolbachia bacteria influence arthropod hosts in multiple ways. They are mostly recognized for their manipulations of host reproduction, yet, more recent studies demonstrate that Wolbachia also impact host behavior, metabolic pathways and immunity. Besides their biological and evolutionary roles, Wolbachia are new potential biological control agents for pest and vector management. Importantly, Wolbachia-based control strategies require controlled symbiont transfer between host species and predictable outcomes of novel Wolbachia-host associations. Theoretically, this artificial horizontal transfer could inflict genetic changes within transferred Wolbachia populations. This could be facilitated through de novo mutations in the novel recipient host or changes of haplotype frequencies of polymorphic Wolbachia populations when transferred from donor to recipient hosts. Here we show that Wolbachia resident in the European cherry fruit fly, Rhagoletis cerasi, exhibit ancestral and cryptic sequence polymorphism in three symbiont genes, which are exposed upon microinjection into the new hosts Drosophila simulans and Ceratitis capitata. Our analyses of Wolbachia in microinjected D. simulans over 150 generations after microinjection uncovered infections with multiple Wolbachia strains in trans-infected lines that had previously been typed as single infections. This confirms the persistence of low-titer Wolbachia strains in microinjection experiments that had previously escaped standard detection techniques. Our study demonstrates that infections by multiple Wolbachia strains can shift in prevalence after artificial host transfer driven by either stochastic or selective processes. Trans-infection of Wolbachia can claim fitness costs in new hosts and we speculate that these costs may have driven the shifts of Wolbachia strains that we saw in our model system.     

Non-contiguous finished genome sequence and description of Bartonella senegalensis sp. nov.

Bartonella senegalensis sp. nov. strain OS02^T is the type strain of B. senegalensis sp. nov., a new species within the genus Bartonella. This strain, whose genome is described here, was isolated in Senegal from the soft tick Ornithodoros sonrai, the vector of relapsing fever. B. senegalensis is an aerobic, rod-shaped, Gram-negative bacterium. Here we describe the features of this organism, together with the complete genome sequence and its annotation. The 1,966,996 bp-long genome contains 1,710 protein-coding and 46 RNA genes, including 6 rRNA genes.