976 resultados para 321011 Medical Genetics


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As the only remainder type of phycobiliproteins in Prochlorococcus, the actual role of phycoerythrin still remains unknown. Previous studies revealed that two different forms of phycoerythrin gene were found in two ecotypes of Prochlorococcus that are specifically adapted to either high light (HL) or low light (LL) conditions. Here we analyze patterns of phycoerythrin nucleotide variation in the HL- and LL-Prochlorococcus populations. Our analyses reveal a significantly greater number of non-synonymous fixed substitutions in peB and peA than expected based on interspecific comparisons. This pattern of excess non-synonymous fixed substitutions is not seen in other five phycoerythrin-related genes (peZ/V/Y/T/S). Several neutrality statistical tests indicate an excess of rare frequency polymorphisms in the LL-Prochlorococcus data, but an excess of intermediate frequency polymorphisms in the HL-Prochlorococcus data. Distributions of the positively selected sites identified using the likelihood ratio test, when mapped onto the phycoerythrin tertiary structure, reveal that HL- and LL-phycoerythrin should be under different selective patterns. These findings may provide insights into the likely role of selection at the phycoerythrin locus and motivate further research to unveil the function of phycoerythrin in Prochlorococcus.

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Crassostrea ariakensis is an important aquacultured oyster species in Asia, its native region. During the past decade, consideration was given to introducing C. ariakensis into Chesapeake Bay, in the United States, to help revive the declining native oyster industry and bolster the local ecosystem. Little is known about the ecology and biology of this species in Asia due to confusion with nomenclature and difficulty in accurately identifying the species of wild populations in their natural environment. Even less research has been done on the population genetics of native populations of C. ariakensis in Asia. We examined the magnitude and pattern of genetic differentiation among 10 wild populations of C. ariakensis from its confirmed distribution range using eight polymorphic microsatellite markers. Results showed a small but significant global theta (ST) (0.018), indicating genetic heterogeneity among populations. Eight genetically distinct populations were further distinguished based on population pairwise theta (ST) comparisons, including one in Japan, four in China, and three populations along the coast of South Korea. A significant positive association was detected between genetic and geographic distances among populations, suggesting a genetic pattern of isolation by distance. This research represents a novel observation on wild genetic population structuring in a coastal bivalve species along the coast of the northwest Pacific.

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This thesis describes some aspects of a computer system for doing medical diagnosis in the specialized field of kidney disease. Because such a system faces the spectre of combinatorial explosion, this discussion concentrates on heuristics which control the number of concurrent hypotheses and efficient "compiled" representations of medical knowledge. In particular, the differential diagnosis of hematuria (blood in the urine) is discussed in detail. A protocol of a simulated doctor/patient interaction is presented and analyzed to determine the crucial structures and processes involved in the diagnosis procedure. The data structure proposed for representing medical information revolves around elementary hypotheses which are activated when certain disposing of findings, activating hypotheses, evaluating hypotheses locally and combining hypotheses globally is examined for its heuristic implications. The thesis attempts to fit the problem of medical diagnosis into the framework of other Artifcial Intelligence problems and paradigms and in particular explores the notions of pure search vs. heuristic methods, linearity and interaction, local vs. global knowledge and the structure of hypotheses within the world of kidney disease.

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Spink, S., Urquhart, C., Cox, A. & Higher Education Academy - Information and Computer Sciences Subject Centre. (2007). Procurement of electronic content across the UK National Health Service and Higher Education sectors. Report to JISC executive and LKDN executive. Sponsorship: JISC/LKDN

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http://www.archive.org/details/equatorssnowype00crawuoft

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http://www.archive.org/details/howfartotheneare012020mbp

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This paper shows how knowledge, in the form of fuzzy rules, can be derived from a self-organizing supervised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning removes those recognition nodes whose confidence index falls below a selected threshold; and quantization of continuous learned weights allows the final system state to be translated into a usable set of rules. Simulations on a medical prediction problem, the Pima Indian Diabetes (PID) database, illustrate the method. In the simulations, pruned networks about 1/3 the size of the original actually show improved performance. Quantization yields comprehensible rules with only slight degradation in test set prediction performance.

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This paper provides a system description and preliminary results for an ongoing clinical study currently being carried out at the Mid-Western Regional Hospital, Nenagh, Ireland. The goal of the trial is to determine if wireless inertial measurement technology can be employed to identify elderly patients at risk of death or imminent clinical deterioration. The system measures cumulative movement and provides a score that will help provide a robust early warning to clinical staff of clinical deterioration. In addition the study examines some of the logistical barriers to the adoption of wearable wireless technology in front-line medical care.

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Sprouty proteins are key regulators of cell growth and branching morphogenesis during development. Human SPRY3 which maps to the pseudoautosomal region 2, undergoes random X-inactivation in females and preferential Y-inactivation in males, behaving as though genetically X-linked. Spry3 is widely expressed in neuronal tissues, being found at high levels in the cerebellum and particularly in the Purkinje cells which, notably, are deficient in the autistic brain. Spry3 is also highly expressed in other ganglia in adults including retinal ganglion cells, dorsal root ganglion and superior cervical ganglion. SPRY3 enhancer can drive SPRY3 expression in the lung airway, which is consistent with a role in branching morphogenesis and the function of the original Drosophila Spry gene, which is critical for lung morphogenesis, providing a possible explanation for an observed anatomic abnormality in the autistic lung airway. In the human and mouse, the SPRY3 core promoter contains an AG-rich repeat and we found evidence of coexpression, promoter binding and regulation of SPRY3 expression by transcription factors EGR1, ZNF263 and PAX6. Spry3 over-expression in mouse superior cervical ganglion cells inhibits axon branching and Spry3 knockdown in those cells increases axon branching, consistent with known functions of other Sprouty proteins. Novel SPRY3 upstream transcripts that I characterised originate from three start sites in the X-linked F8A3 – TMLHE gene region, which is recently implicated in autism causation. Arising from these findings, I propose that the lung airway abnormality and low levels of blood carnitine found in autism suggest that deregulation of SPRY3 may underpin a subset of autism cases.