The RGG domain in hnRNP A2 affects subcellular localization

The heterogeneous nuclear ribonucleoproteins (hnRNP) associate with pre-mRNA in the nucleus and play an important role in RNA processing and splice site selection. In addition, hnRNP A proteins function in the export of mRNA to the cytoplasm. Although the hnRNP A proteins are predominantly nuclear, hnRNP A1 shuttles rapidly between the nucleus and the cytoplasm. HnRNP A2, whose cytoplasmic overexpression has been identified as an early biomarker of lung cancer, has been less well studied. Cytosolic hnRNP A2 overexpression has also been noted in brain tumors, in which it has been correlated with translational repression of Glucose Transporter-1 expression. We now examine the role of arginine methylation on the nucleocytoplasmic localization of hnRNP A2 in the HEK-293 and NIH-3T3 mammalian cell lines. Treatment of either cell line with the methyltransferase inhibitor adenosine dialdehyde dramatically shifts hnRNP A2 localization from the nuclear to the cytoplasmic compartment, as shown both by immunoblotting and by immunocytochemistry. In vitro radiolabeling with [(3)H]AdoMet of GST-tagged hnRNP A2 RGG mutants, using recombinant protein arginine methyltransferase (PRMT1), shows (i) that hnRNP A2 is a substrate for PRMT1 and (ii) that methylated residues are found only in the RGG domain. Deletion of the RGG domain (R191-G253) of hnRNP A2 results in a cytoplasmic localization phenotype, detected both by immunoblotting and by immunocytochemistry. These studies indicate that the RGG domain of hnRNP A2 contains sequences critical for cellular localization of the protein. The data suggest that hnRNP A2 may contain a novel nuclear localization sequence, regulated by arginine methylation, that lies in the R191-G253 region and may function independently of the M9 transportin-1-binding region in hnRNP A2.     

The p75 neurotrophin receptor: effects on neuron survival in vitro and interaction with death domain-containing adaptor proteins

The p75 neurotrophin receptor (p75NTR) is a death domain (DD) containing receptor of the TNF/FAS(APO-1) family. p75NTR has recently been shown to mediate apoptosis in certain types of neurons as well as in oligodendrocytes. The molecular mechanisms by which p75NTR stimulates apoptosis are still unknown. Here, we have tested whether overexpression of p75NTR could modulate survival of sympathetic neurons cultured in the presence or absence of NGF. Moreover, using the yeast two-hybrid system, we tested whether p75NTR intracellular domain was able to dimerize or interact with known DD-containing proteins including FADD, RIP, RAIDD and TRADD. We found that over-expression of p75NTR had no effect on the survival of sympathetic neurons cultured in the presence of NGF but instead delayed neuronal death following NGF deprivation. These results strongly support the finding that p75NTR is not involved in the apoptosis process induced by NGF deprivation in sympathetic neurons. We also foun d that the intracellular domain of p75NTR failed to associate either with itself or with other known DD-containing proteins. This suggests that the mechanisms by which p75NTR triggers apoptosis in certain cell types are different from those used by other receptors of the TNF/FAS family.     

Responses of genotypes from species of Trifolium, Ornithopus, Biserrula and Hedysarum to a highly virulent race of Phytophthora clandestina and new sources of resistance

Thirty‐six genotypes, including 15 cultivars and 10 breeding lines of Trifolium subterraneum, a single genotype of each of seven other species of Trifolium (viz. Trifolium dasyurum, Trifolium glanduliferum, Trifolium incarnatum, Trifolium michelanium, Trifolium purpureum, Trifolium spumosum and Trifolium vesiculosum), Biserrula pelecinus, Hedysarum coronarium, Ornithopus compressus and Ornithopus sativus were screened under controlled environmental conditions for resistance to root disease caused by the most pathogenic race of Phytophthora clandestina occurring in Australia, namely race 177. This is the first time any of these genera/species other than T.subterraneum has ever been screened for its response to P. clandestina. The root disease caused by P.clandestina is the first report of susceptibility to this pathogen for the seven other species of Trifolium and also for B.pelecinus, H.coronarium and O.sativus. Within T.subterraneum, a very high level of resistance was identified in cvs Denmark, Junee and Meteora [scores ≤1.5 (0–5 scale where 0 = no disease) across two separate screening tests] and in the breeding lines SL027 and SM023 (scores ≤1.3 across two separate screening tests). Six of the seven other species of Trifolium (viz. T.dasyurum, T.glanduliferum, T.incarnatum, T.michelanium, T.purpureum and T.spumosum) showed a high level of resistance (scores ≤0.8 across two separate screening tests), while T.vesiculosum showed a disease score of ≤1.2 across both screening tests. O.compressus showed no disease in either test, and O.sativus showed a disease score of ≤0.7 across both screening tests. H.coronarium was susceptible with a disease score of ≤2.8 across two separate screening tests, while B.pelecinus was highly susceptible with disease scores of 3.5 and 4.6 in these tests. The high levels of resistance identified against P.clandestina are useful sources of resistance that can be exploited commercially, either directly to minimise damage from this disease or as parents in breeding programs to develop cultivars within the genera/species tested with improved resistance to this highly pathogenic race of P.clandestina.     

Multinational Tagging Efforts Illustrate Regional Scale of Distribution and Threats for East Pacific Green Turtles (Chelonia mydas agassizii)

To further describe movement patterns and distribution of East Pacific green turtles (Chelonia mydas agassizii) and to determine threat levels for this species within the Eastern Pacific. In order to do this we combined published data from existing flipper tagging and early satellite tracking studies with data from an additional 12 satellite tracked green turtles (1996-2006). Three of these were tracked from their foraging grounds in the Gulf of California along the east coast of the Baja California peninsula to their breeding grounds in Michoacán (1337-2928 km). In addition, three post-nesting females were satellite tracked from Colola beach, Michoacán to their foraging grounds in southern Mexico and Central America (941.3-3020 km). A further six turtles were tracked in the Gulf of California within their foraging grounds giving insights into the scale of ranging behaviour. Turtles undertaking long-distance migrations showed a tendency to follow the coastline. Turtles tracked within foraging grounds showed that foraging individuals typically ranged up to 691.6 km (maximum) from release site location. Additionally, we carried out threat analysis (using the cumulative global human impact in the Eastern Pacific) clustering pre-existing satellite tracking studies from Galapagos, Costa Rica, and data obtained from this study; this indicated that turtles foraging and nesting in Central American waters are subject to the highest anthropogenic impact. Considering that turtles from all three rookeries were found to migrate towards Central America, it is highly important to implement conservation plans in Central American coastal areas to ensure the survival of the remaining green turtles in the Eastern Pacific. Finally, by combining satellite tracking data from this and previous studies, and data of tag returns we created the best available distributional patterns for this particular sea turtle species, which emphasized that conservation measures in key areas may have positive consequences on a regional scale.     

Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset

For years, we have relied on population surveys to keep track of regional public health statistics, including the prevalence of non-communicable diseases. Because of the cost and limitations of such surveys, we often do not have the up-to-date data on health outcomes of a region. In this paper, we examined the feasibility of inferring regional health outcomes from socio-demographic data that are widely available and timely updated through national censuses and community surveys. Using data for 50 American states (excluding Washington DC) from 2007 to 2012, we constructed a machine-learning model to predict the prevalence of six non-communicable disease (NCD) outcomes (four NCDs and two major clinical risk factors), based on population socio-demographic characteristics from the American Community Survey. We found that regional prevalence estimates for non-communicable diseases can be reasonably predicted. The predictions were highly correlated with the observed data, in both the states included in the derivation model (median correlation 0.88) and those excluded from the development for use as a completely separated validation sample (median correlation 0.85), demonstrating that the model had sufficient external validity to make good predictions, based on demographics alone, for areas not included in the model development. This highlights both the utility of this sophisticated approach to model development, and the vital importance of simple socio-demographic characteristics as both indicators and determinants of chronic disease.     

Impact of Protein Palmitoylation on the Virulence Potential of Cryptococcus neoformans

The localization and specialized function of Ras-like proteins are largely determined by posttranslational processing events. In a highly regulated process, palmitoyl groups may be added to C-terminal cysteine residues, targeting these proteins to specific membranes. In the human fungal pathogen Cryptococcus neoformans, Ras1 protein palmitoylation is essential for growth at high temperature but is dispensable for sexual differentiation. Ras1 palmitoylation is also required for localization of this protein on the plasma membrane. Together, these results support a model in which specific Ras functions are mediated from different subcellular locations. We therefore hypothesize that proteins that activate Ras1 or mediate Ras1 localization to the plasma membrane will be important for C. neoformans pathogenesis. To further characterize the Ras1 signaling cascade mediating high-temperature growth, we have identified a family of protein S-acyltransferases (PATs), enzymes that mediate palmitoylation, in the C. neoformans genome database. Deletion strains for each candidate gene were generated by homogenous recombination, and each mutant strain was assessed for Ras1-mediated phenotypes, including high-temperature growth, morphogenesis, and sexual development. We found that full Ras1 palmitoylation and function required one particular PAT, Pfa4, and deletion of the PFA4 gene in C. neoformans resulted in altered Ras1 localization to membranes, impaired growth at 37°C, and reduced virulence.     

A Quantitative Diffuse Reflectance Imaging (QDRI) System for Comprehensive Surveillance of the Morphological Landscape in Breast Tumor Margins

In an ongoing effort to address the clear clinical unmet needs surrounding breast conserving surgery (BCS), our group has developed a next-generation multiplexed optical-fiber-based tool to assess breast tumor margin status during initial surgeries. Specifically detailed in this work is the performance and clinical validation of a research-grade intra-operative tool for margin assessment based on diffuse optical spectroscopy. Previous work published by our group has illustrated the proof-of-concept generations of this device; here we incorporate a highly optimized quantitative diffuse reflectance imaging (QDRI) system utilizing a wide-field (imaging area = 17cm²) 49-channel multiplexed fiber optic probe, a custom raster-scanning imaging platform, a custom dual-channel white LED source, and an astronomy grade imaging CCD and spectrograph. The system signal to noise ratio (SNR) was found to be greater than 40dB for all channels. Optical property estimation error was found to be less than 10%, on average, over a wide range of absorption (μ_a = 0–8.9cm^-1) and scattering (μ_s’ = 7.0–9.7cm^-1) coefficients. Very low inter-channel and CCD crosstalk was observed (2% max) when used on turbid media (including breast tissue). A raster-scanning mechanism was developed to achieve sub-pixel resolution and was found to be optimally performed at an upsample factor of 8, affording 0.75mm spatially resolved diffuse reflectance images (λ = 450–600nm) of an entire margin (area = 17cm²) in 13.8 minutes (1.23cm²/min). Moreover, controlled pressure application at the probe-tissue interface afforded by the imaging platform reduces repeated scan variability, providing <1% variation across repeated scans of clinical specimens. We demonstrate the clinical utility of this device through a pilot 20-patient study of high-resolution optical parameter maps of the ratio of the β-carotene concentration to the reduced scattering coefficient. An empirical cumulative distribution function (eCDF) analysis is used to reduce optical property maps to quantitative distributions representing the morphological landscape of breast tumor margins. The optimizations presented in this work provide an avenue to rapidly survey large tissue areas on intra-operative time scales with improved sensitivity to regions of focal disease that may otherwise be overlooked.     

Two CDC42 paralogues modulate Cryptococcus neoformans thermotolerance and morphogenesis under host physiological conditions

The precise regulation of morphogenesis is a key mechanism by which cells respond to a variety of stresses, including those encountered by microbial pathogens in the host. The polarity protein Cdc42 regulates cellular morphogenesis throughout eukaryotes, and we explore the role of Cdc42 proteins in the host survival of the human fungal pathogen Cryptococcus neoformans. Uniquely, C. neoformans has two functional Cdc42 paralogues, Cdc42 and Cdc420. Here we investigate the contribution of each paralogue to resistance to host stress. In contrast to non‐pathogenic model organisms, C. neoformans Cdc42 proteins are not required for viability under non‐stress conditions but are required for resistance to high temperature. The paralogues play differential roles in actin and septin organization and act downstream of C. neoformans Ras1 to regulate its morphogenesis sub‐pathway, but not its effects on mating. Cdc42, and not Cdc420, is upregulated in response to temperature stress and is required for virulence in a murine model of cryptococcosis. The C. neoformans Cdc42 proteins likely perform complementary functions with other Rho‐like GTPases to control cell polarity, septin organization and hyphal transitions that allow survival in the environment and in the host.