12 research outputs found

    Intercept and coefficient values of fitted generalized linear models incorporating either farmers PQ estimates or BIAT D-scores as predictors of badger killing behaviour as reported via RRT.

    No full text
    <p>Intercept and coefficient values of fitted generalized linear models incorporating either farmers PQ estimates or BIAT D-scores as predictors of badger killing behaviour as reported via RRT.</p

    N‑Linked Glycan Profiling in Neuroblastoma Cell Lines

    No full text
    Although <i>MYCN</i> amplification has been associated with aggressive neuroblastoma, the molecular mechanisms that differentiate low-risk, <i>MYCN</i>-nonamplified neuroblastoma from high-risk, <i>MYCN</i>-amplified disease are largely unknown. Genomic and proteomic studies have been limited in discerning differences in signaling pathways that account for this heterogeneity. N-Linked glycosylation is a common protein modification resulting from the attachment of sugars to protein residues and is important in cell signaling and immune response. Aberrant N-linked glycosylation has been routinely linked to various cancers. In particular, glycomic markers have often proven to be useful in distinguishing cancers from precancerous conditions. Here, we perform a systematic comparison of N-linked glycomic variation between <i>MYCN</i>-nonamplified SY5Y and <i>MYCN</i>-amplified NLF cell lines with the aim of identifying changes in sugar abundance linked to high-risk neuroblastoma. Through a combination of liquid chromatography–mass spectrometry and bioinformatics analysis, we identified 16 glycans that show a statistically significant change in abundance between NLF and SY5Y samples. Closer examination revealed the preference for larger (in terms of total monosaccharide count) and more sialylated glycan structures in the <i>MYCN</i>-amplified samples in comparison to smaller, nonsialylated glycans that are more dominant in the <i>MYCN</i>-nonamplified samples. These results offer clues for deriving marker candidates for accurate neuroblastoma risk diagnosis

    AFM imaging of <i>Candida tropicalis</i> 519468 grown on polystyrene with/without 2% OligoG and/or fluconazole (FLC).

    No full text
    <p>FLC was used at 1 mg/L (equivalent to the MIC) with more rounded cells (post OligoG treatment), more flattened cells (post fluconazole treatment) and both flattened, and “wrinkled” cells (post combination treatment) apparent. Z scale of 7.5 µm. Scale bar is 15 µm.</p

    MIC of antifungals alone and with increasing concentrations of OligoG (2, 6, 10%) for a range of <i>Candida</i> spp.

    No full text
    <p>*MIC values of fluconazole for <i>C. tropicalis</i> strains (519468 and T2.2) were determined at 36 h.</p><p>Bold numbers indicate a Fractional Inhibitory Concentration Index (FICI)≤0.5; indicative of synergy <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0112518#pone.0112518-Odds1" target="_blank">[25]</a>.</p><p>MIC of antifungals alone and with increasing concentrations of OligoG (2, 6, 10%) for a range of <i>Candida</i> spp.</p

    Strains used for susceptibility testing and their source.

    No full text
    1<p>Resistant to 5-flucytosine, fluconazole, itraconazole.</p>2<p>Recommended by CLSI as reference strains for antifungal susceptibility testing.</p><p>Strains used for susceptibility testing and their source.</p

    Germ tube assays.

    No full text
    <p>(A) Light microscopy images of <i>Candida albicans</i> (CCUG 39343) cells grown with/without the presence of OligoG, (Scale bar is 100 µm). (B) Percentage of <i>Candida</i> cells producing hyphae for four different strains grown for 2 hours in the presence of OligoG (0, 0.2, 0.5, 2, 6 and 10%). <i>Candida glabrata</i> as a non-hyphae producer was the negative control. *indicates significantly different from the control, (<i>P</i><0.05).</p
    corecore