12 research outputs found

    Regulation of morphogenesis by ammonium transporters in Ustilgo maydis.

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    Many species of fungi undergo a dimorphic transition to switch from a unicellular yeast-like growth form to a filamentous growth form. Ustilago maydis undergoes such a transition, in response to successful mating events and subsequent host cues, to form a filamentous pathogenic form. U maydis also undergoes haploid filamentous growth in response to several environmental cues including, but not limited to nutrient limitation, pH, lipids, among others. Ammonium transporter proteins (Amts) play an essential role in controlling the dimorphic transition in response to nutrient limitation, specifically nitrogen in the form of ammonium. I demonstrate a role for the U maydis Amts in controlling filamentation under nitrogen limiting and nitrogen replete conditions via signal transduction pathways. I show a functional connection between Amts and the signaling protein, Rho 1 GTPase, in U maydis. These experiments suggest that both the high and low affinity ammonium transporters physically interact among themselves and also interact with Rho 1 under low ammonium conditions. Epistasis experiments suggest that interaction of high affinity Amt, Ump2, with Rho 1 is important for the filamentous growth response. Overexpression of rho1 reduced the filamentation by haploid cells under low ammonium conditions. Additionally, ump2 deletion further eliminated the filamentous growth by haploid cells over-expressing rho1 under low ammonium conditions. Inferring from these data and the known role of Rho 1 in affecting filamentation, I propose a model for Ump2 and Rho 1 function in U maydis. Furthermore, I demonstrate the role of Ump2 in affecting filamentation depends on its expression levels. This study reveals that Ump2 as well as Umpl expression alters the transcription of genes essential in the mating response pathway and in pathogenicity. Transcription of numerous other genes, some shown to be induced during filamentous growth and a few others, during growth of the fungus inside the host, are also affected by changes in the expression of U maydis Amts. Interestingly, ump1ump2 double deletion strains are attenuated in their ability to infect the host. These results suggest Amts sense the external environment and transmit information by directly or indirectly affecting one or more signaling pathways to control the morphogenetic fate of U. maydis

    MtSNPscore: a combined evidence approach for assessing cumulative impact of mitochondrial variations in disease

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    Human mitochondrial DNA (mtDNA) variations have been implicated in a broad spectrum of diseases. With over 3000 mtDNA variations reported across databases, establishing pathogenicity of variations in mtDNA is a major challenge. We have designed and developed a comprehensive weighted scoring system (MtSNPscore) for identification of mtDNA variations that can impact pathogenicity and would likely be associated with disease. The criteria for pathogenicity include information available in the literature, predictions made by various in silico tools and frequency of variation in normal and patient datasets. The scoring scheme also assigns scores to patients and normal individuals to estimate the cumulative impact of variations. The method has been implemented in an automated pipeline and has been tested on Indian ataxia dataset (92 individuals), sequenced in this study, and other publicly available mtSNP dataset comprising of 576 mitochondrial genomes of Japanese individuals from six different groups, namely, patients with Parkinson's disease, patients with Alzheimer's disease, young obese males, young non-obese males, and type-2 diabetes patients with or without severe vascular involvement. MtSNPscore, for analysis can extract information from variation data or from mitochondrial DNA sequences. It has a web-interface http://bioinformatics.ccmb.res.in/cgi-bin/snpscore/Mtsnpscore.pl webcite that provides flexibility to update/modify the parameters for estimating pathogenicity

    Islet cell antibodies and antibodies against glutamic acid decarboxylase in newly diagnosed adult-onset diabetes mellitus

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    This study aimed to determine the prevalence of antibodies against glutamic acid decarboxylase (anti-GAD) and islet cell antibodies (ICA) in relation to β-cell function in adults newly-diagnosed with diabetes mellitus. β-cell function was assessed in adults aged 25-70 years newly-diagnosed with diabetes mellitus (n = 84) and control subjects (n = 34) using a 1.6 MJ mixed meal test procedure. β-cell function was evaluated by the true insulin (defined as immunoreactive insulin minus proinsulin) response to the mixed meal test. Subjects were classified on the basis of the area under the true insulin curve (normal 16 830-107 700 pmol min/l) and the sum of the 30 and 60 min incremental response (normal 285-3295 pmol/l). The prevalence of anti-GAD and ICA was determined using radioimmunoprecipitation and indirect immunofluorescence, respectively. Twelve (14%) of the study cohort were insulin deficient showing little or no true insulin release. Of the insulin deficient individuals, seven (58%) subjects were anti-GAD antibody positive, compared with eleven (15%) of the subjects without insulin deficiency (P &lt; 0.001). Seven (58%) insulin deficient subjects were ICA positive, whereas only two (3%) non-insulin deficient subjects were ICA positive (P &lt; 0.001). Eight (67%) of the insulin deficient individuals had anti-GAD or ICA, compared with twelve (17%) of those who were not insulin deficient (P &lt; 0.001). The positive predictive values for insulin deficiency of anti-GAD and ICA were 39 and 78% respectively. The sensitivity of both antibodies for detecting insulin deficiency was 50%. The specificity for detecting insulin deficiency was 85% for anti-GAD and 97% for ICA. Positivity for both anti-GAD and ICA gave a specificity and positive predictive value for insulin deficiency of 99%, and a sensitivity of 50%. Nearly one in seven adults presenting with diabetes mellitus as a new diagnosis are insulin deficient using our criteria. Loss of β-cell function in two thirds of individuals who are insulin deficient can be identified by anti-GAD and ICA. Early detection of these immune markers of β-cell damage creates the potential for immune modulation to limit such damage.</p

    The impact of the wake maintenance zone on attentional capacity, physiological drowsiness, and subjective task demands during sleep deprivation

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    We aimed to investigate the impact of the Wake Maintenance Zone (WMZ) on measures of drowsiness, attention, and subjective performance under rested and sleep deprived conditions. We studied 23 healthy young adults (18 males; mean age = 25.41 ± 5.73 years) during 40 hr of total sleep deprivation under constant routine conditions. Participants completed assessments of physiological drowsiness (EEG-scored slow eye movements and microsleeps), sustained attention (PVT), and subjective task demands every two hours, and four-hourly ocular motor assessment of inhibitory control (inhibition of reflexive saccades on an anti-saccade task). Tests were analyzed relative to dim light melatonin onset (DLMO); the WMZ was defined as the 3 hr prior to DLMO, and the preceding 3 hr window was deemed the pre-WMZ. The WMZ did not mitigate the adverse impact of ~37 hr sleep deprivation on drowsiness, sustained attention, response inhibition, and self-rated concentration and difficulty, relative to rested WMZ performance (~13 hr of wakefulness). Compared to the pre-WMZ, though, the WMZ improved measures of sustained attention, and subjective concentration and task difficulty, during sleep deprivation. Cumulatively, these results expand on previous work by characterizing the beneficial effects of the WMZ on operationally-relevant indices of drowsiness, inhibitory attention control, and self-rated concentration and task difficulty relative to the pre-WMZ during sleep deprivation. These results may inform scheduling safety-critical tasks at more optimal circadian times to improve workplace performance and safety

    edgeR_Treatment_Comparison_Output files

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    This file contains full outputs from edgeR DGE analysis for the comparison between hypoxic and normoxic animals for the "Transcriptomic analysis of gene signatures associated with sickle pain" study

    edgeR_Genotype_Comparison_Output files

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    This file contains full outputs from edgeR DGE analysis for the genotypic comparisons for the "Transcriptomic analysis of gene signatures associated with sickle pain" study
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