The cytoplasmic tail of the rabies virus G protein is an essential domain controlling death/survival in human neuronal cells

Poster presentation

Vaccination with recombinant neuraminidase protects against influenza virus infection in mice

While the efficacy of most influenza virus vaccines is measured by the ability to induce antibodies against the hemagglutinin (HA), antibodies against the viral neuraminidase (NA) are also correlated with less severe disease in humans and animal models. Yet, neither the amount nor the enzymatic activity of NA is standardized in current seasonal vaccines, and the breadth of NA-based protection is unknown. In the present study, different subtypes of recombinant NA were expressed in a baculovirus system and used to vaccinate mice prior to homologous, heterologous, or heterosubtypic virus challenge. Additionally, pre- and post-vaccination human serum samples from vaccinees that received TIV were studied to compare induction of antibodies against the HA and NA. Finally, the amounts of NA in 4 different vaccine formulations from 2013-2014 were quantified using ELISA. Mice immunized with N2 were 100% protected from morbidity and mortality in a homologous challenge and displayed significantly reduced viral lung titers. Heterologous challenge with a drifted strain resulted in morbidity but no mortality. Mice immunized with B/Yamagata/16/88 NA were 100% protected from morbidity and mortality when lethally challenged with a recent Victoria lineage strain. In our human cohorts, the increase in endpoint titers against N1 NA post-vaccination was less robust than that against HA and, as our quantification data suggests, the N1 NA amounts in seasonal vaccine formulations is quite variable. To confirm the broad protective effects of anti-influenza B NA antibodies on a monoclonal level, a panel of mouse monoclonal antibodies was generated against influenza B virus NA; several of these displayed broad reactivity in ELISA to whole virus and recombinant NA and protected against lethal influenza B virus challenge in mice when delivered at a dose of 5 mg/kg prophylactically, or therapeutically, 48 hours post-infection. Analysis of the protective epitopes is currently in progress. The demonstrated protective capacity of anti-NA antibodies suggests that targeting the NA through vaccination may offer increased protection against influenza virus infection

Genera of phytopathogenic fungi: GOPHY 3

This paper represents the third contribution in the Genera of Phytopathogenic Fungi (GOPHY) series. The series provides morphological descriptions, information about the pathology, distribution, hosts and disease symptoms for the treated genera, as well as primary and secondary DNA barcodes for the currently accepted species included in these. This third paper in the GOPHY series treats 21 genera of phytopathogenic fungi and their relatives including: Allophoma, Alternaria, Brunneosphaerella, Elsinoe, Exserohilum, Neosetophoma, Neostagonospora, Nothophoma, Parastagonospora, Phaeosphaeriopsis, Pleiocarpon, Pyrenophora, Ramichloridium, Seifertia, Seiridium, Septoriella, Setophoma, Stagonosporopsis, Stemphylium, Tubakia and Zasmidium. This study includes three new genera, 42 new species, 23 new combinations, four new names, and three typifications of older names

Melatonin inhibira lipidnu peroksidaciju u jetri štakora uzrokovanu benzenom

We studied the antioxidative role of melatonin against benzene toxicity in rat liver. The inhibition of mitochondrial and microsomal lipid peroxidation differed between 24-hour (single-dose), 15-day, and 30-day treatments. Inhibition of mitochondrial lipid peroxidation was the highest after the single dose of melatonin, whereas highest microsomal inhibition was recorded after 30 days of melatonin treatment. No signifi cant difference was recorded between 15-day and 30-day treatments. Cytochrome P4502E1 (CYP4502E1) activity declined after the single-dose and 15-day melatonin treatment in the benzenetreated group, but it rose again, though not signifi cantly after 30 days of treatment. Liver histopathology generally supported these fi ndings. Phenol concentration in the urine samples declined in melatonin and benzene-treated rats. Our results show that melatonin affects CYP4502E1, which is responsible for benzene metabolism. Inhibition of its metabolism correlated with lower lipid peroxidation. In conclusion, melatonin was found to be protective against lipid peroxidation induced by benzene.Istražena je antioksidacijska uloga melatonina u zaštiti protiv toksičnoga djelovanja benzena u jetri štakora. Utvrđeno je da kratkoročno odnosno dugoročnije liječenje štakora melatoninom u različitoj mjeri štiti štakore istodobno izložene benzenu. Inhibicija lipidne peroksidacije mitohondrija i mikrosoma bila je različita nakon 24 h, 15 dana, odnosno 30 dana liječenja melatoninom. Najveća inhibicija lipidne peroksidacije mitohondrija zamijećena je nakon primjene jednokratne doze melatonina, dok je najizraženija inhibicija u mikrosomima zamijećena nakon 30 dana liječenja melatoninom. Slična istraživanja pokazuju da razina glutationa (GSH) najviše raste nakon 24 h liječenja melatoninom. Nije zamijećena razlika između liječenja u trajanju od 15 odnosno 30 dana. U štakora koji su uz benzen istodobno primali i melatonin razine citokroma P4502E1 pale su nakon 24 h odnosno 15 dana izloženosti. U štakora koji su primali samo melatonin te su razine nakon 30 dana statistički neznačajno porasle u odnosu na skupinu izloženu samo benzenu. Histopatološka analiza jetre načelno je potvrdila ove nalaze. Koncentracije fenola u mokraći bile su niže u štakora koji su istodobno primali melatonin i benzen. Ovi rezultati pokazuju da melatonin utječe na citokrom P4502E1, koji je odgovoran za metabolizam benzena. Inhibira li se njegov metabolizam, smanjuje se lipidna peroksidacija. Zaključak je da melatonin štiti od lipidne peroksidacije uzrokovane benzenom

Analysis with respect to instrumental variables for the exploration of microarray data structures

BACKGROUND: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various factors structuring the data which should be taken into account. The objective of these experiments is the exploration of some given factors while controlling other factors. RESULTS: We present here a family of methods, the analyses with respect to instrumental variables, which can be easily applied to the particular case of microarray data. An illustrative example of analysis with instrumental variables is given in the case of microarray data investigating the effect of beverage intake on peripheral blood gene expression. This approach is compared to an ANOVA-based gene-by-gene statistical method. CONCLUSION: Instrumental variables analyses provide a simple way to control several sources of variation in a multivariate analysis of microarray data. Due to their flexibility, these methods can be associated with a large range of ordination techniques combined with one or several qualitative and/or quantitative descriptive variables

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment