Mesenchymal to epithelial transition driven by canine distemper virus infection of canine histiocytic sarcoma cells contributes to a reduced cell motility in vitro

Sarcomas especially of histiocytic origin often possess a poor prognosis and response to conventional therapies. Interestingly, tumours undergoing mesenchymal to epithelial transition (MET) are often associated with a favourable clinical outcome. This process is characterized by an increased expression of epithelial markers leading to a decreased invasion and metastatic rate. Based on the failure of conventional therapies, viral oncolysis might represent a promising alternative with canine distemper virus (CDV) as a possible candidate. This study hypothesizes that a CDV infection of canine histiocytic sarcoma cells (DH82 cells) triggers the MET process leading to a decreased cellular motility. Immunofluorescence and immunoblotting were used to investigate the expression of epithelial and mesenchymal markers followed by scratch assay and an invasion assay as functional confirmation. Furthermore, microarray data were analysed for genes associated with the MET process, invasion and angiogenesis. CDV‐infected cells exhibited an increased expression of epithelial markers such as E‐cadherin and cytokeratin 8 compared to controls, indicating a MET process. This was accompanied by a reduced cell motility and invasiveness. Summarized, these results suggest that CDV infection of DH82 cells triggers the MET process by an increased expression of epithelial markers resulting in a decreased cell motility in vitro.     

Genomic Survey of the Non-Cultivatable Opportunistic Human Pathogen,Enterocytozoon bieneusi

Enterocytozoon bieneusi is the most common microsporidian associated with human disease, particularly in the immunocompromised population. In the setting of HIV infection, it is associated with diarrhea and wasting syndrome. Like all microsporidia, E. bieneusi is an obligate, intracellular parasite, but unlike others, it is in direct contact with the host cell cytoplasm. Studies of E. bieneusi have been greatly limited due to the absence of genomic data and lack of a robust cultivation system. Here, we present the first large-scale genomic dataset for E. bieneusi. Approximately 3.86 Mb of unique sequence was generated by paired end Sanger sequencing, representing about 64% of the estimated 6 Mb genome. A total of 3,804 genes were identified in E. bieneusi, of which 1,702 encode proteins with assigned functions. Of these, 653 are homologs of Encephalitozoon cuniculi proteins. Only one E. bieneusi protein with assigned function had no E. cuniculi homolog. The shared proteins were, in general, evenly distributed among the functional categories, with the exception of a dearth of genes encoding proteins associated with pathways for fatty acid and core carbon metabolism. Short intergenic regions, high gene density, and shortened protein-coding sequences were observed in the E. bieneusi genome, all traits consistent with genomic compaction. Our findings suggest that E. bieneusi is a likely model for extreme genome reduction and host dependence.     

14‐3‐3 Ligand Prevents Nuclear Import of c‐ABL Protein in Chronic Myeloid Leukemia

Here we demonstrated that the ‘loss of function’ of not‐rearranged c‐ABL in chronic myeloid leukemia (CML) is promoted by its cytoplasmic compartmentalization bound to 14‐3‐3 sigma scaffolding protein. In particular, constitutive tyrosine kinase (TK) activity of p210 BCR‐ABL blocks c‐Jun N‐terminal kinase (JNK) phosphorylation leading to 14‐3‐3 sigma phosphorylation at a critical residue (Ser¹⁸⁶) for c‐ABL binding in response to DNA damage. Moreover, it is associated with 14‐3‐3 sigma over‐expression arising from epigenetic mechanisms (promoter hyper‐acetylation). Accordingly, p210 BCR‐ABL TK inhibition by the TK inhibitor Imatinib mesylate (IM) evokes multiple events, including JNK phosphorylation at Thr¹⁸³, p38 mitogen‐activated protein kinase (MAPK) phosphorylation at Thr¹⁸⁰, c‐ABL de‐phosphorylation at Ser residues involved in 14‐3‐3 binding and reduction of 14‐3‐3 sigma expression, that let c‐ABL release from 14‐3‐3 sigma and nuclear import, and address BCR‐ABL‐expressing cells towards apoptotic death. Informational spectrum method (ISM), a virtual spectroscopy method for analysis of protein interactions based on their structure, and mathematical filtering in cross spectrum (CS) analysis identified 14‐3‐3 sigma/c‐ABL binding sites. Further investigation on CS profiles of c‐ABL‐ and p210 BCR‐ABL‐containing complexes revealed the mechanism likely involved 14‐3‐3 precluded phosphorylation in CML cells.     

Relative accuracy of spatial predictive models for lynx Lynx canadensis derived using logistic regression-AIC,multiple criteria evaluation and Bayesian approaches

We compared probability surfaces derived using one set of environmental variables in three Geographic Information Systems (GIS) -based approaches: logistic regression and Akaike's Information Criterion (AIC),Multiple Criteria Evaluation (MCE),and Bayesian Analysis (specifically Dempster-Shafer theory). We used lynx Lynx canadensis as our focal species,and developed our environment relationship model using track data collected in Banff National Park,Alberta,Canada,during winters from 1997 to 2000. The accuracy of the three spatial models were compared using a contingency table method. We determined the percentage of cases in which both presence and absence points were correctly classified (overall accuracy),the failure to predict a species where it occurred (omission error) and the prediction of presence where there was absence (commission error). Our overall accuracy showed the logistic regression approach was the most accurate (74.51% ). The multiple criteria evaluation was intermediate (39.22%),while the Dempster-Shafer (D-S) theory model was the poorest (29.90%). However,omission and commission error tell us a different story: logistic regression had the lowest commission error,while D-S theory produced the lowest omission error. Our results provide evidence that habitat modellers should evaluate all three error measures when ascribing confidence in their model. We suggest that for our study area at least,the logistic regression model is optimal. However,where sample size is small or the species is very rare,it may also be useful to explore and/or use a more ecologically cautious modelling approach (e.g. Dempster-Shafer) that would over-predict,protect more sites,and thereby minimize the risk of missing critical habitat in conservation plans.     

Evolution of the P-type II ATPase gene family in the fungi and presence of structural genomic changes among isolates of Glomus intraradices

Background  

The P-type II ATPase gene family encodes proteins with an important role in adaptation of the cell to variation in external K⁺, Ca²⁺ and Na²⁺ concentrations. The presence of P-type II gene subfamilies that are specific for certain kingdoms has been reported but was sometimes contradicted by discovery of previously unknown homologous sequences in newly sequenced genomes. Members of this gene family have been sampled in all of the fungal phyla except the arbuscular mycorrhizal fungi (AMF; phylum Glomeromycota), which are known to play a key-role in terrestrial ecosystems and to be genetically highly variable within populations. Here we used highly degenerate primers on AMF genomic DNA to increase the sampling of fungal P-Type II ATPases and to test previous predictions about their evolution. In parallel, homologous sequences of the P-type II ATPases have been used to determine the nature and amount of polymorphism that is present at these loci among isolates of Glomus intraradices harvested from the same field.     

Botryosphaeran, a new substrate for the production of β-1,3-glucanases by Botryosphaeria rhodina and Trichoderma harzianum Rifai

Botryosphaeria rhodina and Trichoderma harzianum Rifai were grown on botryosphaeran (an exopolysaccharide (EPS) of the β-1,3;1,6-d-glucan type produced by B. rhodina) as sole carbon source with the objective of producing β-glucanases of the 1,3-type. Conditions for β-1,3-glucanase production by T. harzianum were examined by a statistical response surface method, and showed maximal enzyme production at 5 days growth in media containing 1.5 g/l of EPS. Good agreement was obtained between the experimental values of β-1,3-glucanase activity and the corresponding values predicted by the mathematical model. The crude β-1,3-glucanase preparations were active towards a number of different β-1,3-glucans and β-glucosides. The mycelium of B. rhodina also proved to be a good substrate for β-1,3-glucanase production by both fungal species.     

A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data

Background  

Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientific impact and a wide application area. Several standalone applications had been developed in order to analyze microarray data. Two of the most known free analysis software packages are the R-based Bioconductor and dChip. The part of dChip software concerning the calculation and the analysis of gene expression has been modified to permit its execution on both cluster environments (supercomputers) and Grid infrastructures (distributed computing).