110 research outputs found

    miR-146a is a significant brake on autoimmunity, myeloproliferation, and cancer in mice

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    Excessive or inappropriate activation of the immune system can be deleterious to the organism, warranting multiple molecular mechanisms to control and properly terminate immune responses. MicroRNAs (miRNAs), ~22-nt-long noncoding RNAs, have recently emerged as key posttranscriptional regulators, controlling diverse biological processes, including responses to non-self. In this study, we examine the biological role of miR-146a using genetically engineered mice and show that targeted deletion of this gene, whose expression is strongly up-regulated after immune cell maturation and/or activation, results in several immune defects. Collectively, our findings suggest that miR-146a plays a key role as a molecular brake on inflammation, myeloid cell proliferation, and oncogenic transformation

    Statistical Analysis of Choice Experiments and Surveys

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    Measures of households' past behavior, their expectations with respect to future events and contingencies, and their intentions with respect to future behavior are frequently collected using household surveys. These questions are conceptually difficult. Answering them requires elaborate cognitive and social processes, and often respondents report only their “best” guesses and/or estimates, using more or less sophisticated heuristics. A large body of literature in psychology and survey research shows that as a result, responses to such questions may be severely biased. In this paper, (1) we describe some of the problems that are typically encountered, (2) provide some empirical illustrations of these biases, and (3) develop a framework for conceptualizing survey response behavior and for integrating structural models of response behavior into the statistical analysis of the underlying economic behavior.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47001/1/11002_2005_Article_5884.pd

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    Not AvailablePolyphenol oxidases (PPOs) are copper-binding enzymes that oxidize polyphenols to quinones. PPOs are ubiquitous in plants, but, knowledge on their evolution and diversity in cereals is explored to a limited extent. This study reports their distribution and diversity in maize, sorghum, barley and millet. We have identified additional PPO proteins in the four crops than those previously reported. In all, 27 PPO were studied and an overall sequence identity across the species ranged between 30-99%. In addition to several variants of ‘HxxYC’ motif, a novel motif (HRxYxxFxER) that begins with third conserved histidine residue of ‘Copper A’ is reported. Another tri-peptide motif, ‘AGS’ was found to be 100% conserved. Twin-tyrosine (YxY) motif was substituted by ‘FTY’ or ‘YRF’ motif in four millet and one barley sequences. Among the 27 PPOs, 7 proteins were predicted to be synthesized via secretory pathway. PROSITE Scan analysis identified several domains including Zinc finger C2H2-type, Immunoglobulin [Ig]-like, and ‘TAT’ signal. Phylogenetic analysis revealed two major clades and also indicated a non-species specific diversification of the cereal PPOs investigated. Overall, our study analysed the diversity among the four cereal PPOs, it is observed that their number and distribution is consistent with their implications in different roles.Not Availabl

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    Not AvailableGrain protein content and protein profiles of six arid grain legumes belonging to three different tribes were studied. Average grain protein (per cent) of horse gram, cowpea, moth bean, guar, chickpea and green gram was 20.29, 22.8, 22.6, 20.6, 21.82, and 20.40 respectively. All the six arid legumes were clearly differentiated based on the protein banding patterns generated through SDS-PAGE. The molecular weight range of proteins in different legumes was observed to be ~16 to ~250kD. Interestingly, in chickpea, moth bean and horse gram proteins >100kD were not mostly observed. Further, distinct proteins were observed indicating inter-varietal differences in horse gram (CRHG-19), cowpea (RC-101) and guar (HG-2- 20), which could be useful in varietal identification. The different legumes were broadly clustered in to four clusters. Further, chickpea (Cicereae), green gram and cowpea (Phaseoleae) were clustered together. The similarity indexes of varieties and individual crops ranged from 0.667 to 0.950 and 0.425 to 0.821 respectively. Though the six legumes belong to Leguminosae they have distinct protein profiles which could be useful in species/varietal identification.Not Availabl
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