167 research outputs found

    Redundant Elements in SNOMED CT Concept Definitions

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    Microtubule-membrane interactions in cilia. II. Photochemical cross-linking of bridge structures and the identification of a membrane-associated dynein-like ATPase

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    This is the publisher's version, also available electronically from http://jcb.rupress.org/content/84/2/381.Photochemical cross-linking of both Tetrahymena and Aequipecten ciliary membrane proteins with the lipophilic reagent 4,4'-dithiobisphenylazide links together a high molecular weight dynein-like ATPase, membrane tubulin, and at least two other proteins. Electron microscopy of detergent-extracted cilia reveals that the cross-linked complex remains attached to the outer-doublet microtubules by a microtubule-membrane bridge. Cleavage of the reagent's disulfide bond releases the bridge-membrane complex and the dynein-like membrane-associated ATPase. Electron microscopy was used to ensure that the dynein-like protein did not result from the solubilization of the dynein arms attached to the outer-doublet microtubules. The dynein-like protein has been isolated using sucrose gradients and is similar to axonemal dynein with respect to its sedimentation characteristics nucleotide specificity, and divalent cation requirements. Photochemical cross-linking of ciliary membrane porteins in vivo results initially in the modification of ciliary beat and, eventually, in the cessation of ciliary movement. These results suggest that a dynein-like ATPase comprises the bridge which links the ciliary membrane to the outer-doublet microtubules and that this bridge is involved in the modulation of normal ciliary movement

    Ciliary microtubule capping structures contain a mammalian kinetochore antigen

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    This is the publisher's version, also available electronically from http://jcb.rupress.org/content/110/3/703.Structures that cap the plus ends of microtubules may be involved in the regulation of their assembly and disassembly. Growing and disassembling microtubules in the mitotic apparatus are capped by kinetochores and ciliary and flagellar microtubules are capped by the central microtubule cap and distal filaments. To compare the ciliary caps with kinetochores, isolated Tetrahymena cilia were stained with CREST (Calcinosis/phenomenon esophageal dysmotility, sclerodactyly, telangiectasia) antisera known to stain kinetochores. Immunofluorescence microscopy revealed that a CREST antiserum stained the distal tips of cilia that contained capping structures but did not stain axonemes that lacked capping structures. Both Coomassie blue-stained gels and Western blots probed with CREST antiserum revealed that a 97-kD antigen copurifies with the capping structures. Affinity-purified antibodies to the 97-kD ciliary protein stained the tips of cap-containing Tetrahymena cilia and the kinetochores in HeLa, Chinese hamster ovary, and Indian muntjak cells. These results suggest that at least one polypeptide found in the kinetochore is present in ciliary microtubule capping structures and that there may be a structural and/or functional homology between these structures that cap the plus ends of microtubules

    Formalization and computation of quality measures based on electronic medical records

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    Ambiguous definitions of quality measures in natural language impede their automated computability and also the reproducibility, validity, timeliness, traceability, comparability, and interpretability of computed results. Therefore, quality measures should be formalized before their release. We have previously developed and successfully applied a method for clinical indicator formalization (CLIF). The objective of our present study is to test whether CLIF is generalizable--that is, applicable to a large set of heterogeneous measures of different types and from various domains. We formalized the entire set of 159 Dutch quality measures for general practice, which contains structure, process, and outcome measures and covers seven domains. We relied on a web-based tool to facilitate the application of our method. Subsequently, we computed the measures on the basis of a large database of real patient data. Our CLIF method enabled us to fully formalize 100% of the measures. Owing to missing functionality, the accompanying tool could support full formalization of only 86% of the quality measures into Structured Query Language (SQL) queries. The remaining 14% of the measures required manual application of our CLIF method by directly translating the respective criteria into SQL. The results obtained by computing the measures show a strong correlation with results computed independently by two other parties. The CLIF method covers all quality measures after having been extended by an additional step. Our web tool requires further refinement for CLIF to be applied completely automatically. We therefore conclude that CLIF is sufficiently generalizable to be able to formalize the entire set of Dutch quality measures for general practic

    Comparison of reasoners for large ontologies in the OWL 2 EL profile

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    This paper provides a survey to and a comparison of state-of-the-art Semantic Web reasoners that succeed in classifying large ontologies expressed in the tractable OWL 2 EL profile. Reasoners are characterized along several dimensions: The first dimension comprises underlying reasoning characteristics, such as the employed reasoning method and its correctness as well as the expressivity and worst-case computational complexity of its supported language and whether the reasoner supports incremental classification, rules, justifications for inconsistent concepts and ABox reasoning tasks. The second dimension is practical usability: whether the reasoner implements the OWL API and can be used via OWLlink, whether it is available as Protégé plugin, on which platforms it runs, whether its source is open or closed and which license it comes with. The last dimension contains performance indicators that can be evaluated empirically, such as classification, concept satisfiability, subsumption checking and consistency checking performance as well as required heap space and practical correctness, which is determined by comparing the computed concept hierarchies with each other. For the very large ontology SNOMED CT, which is released both in stated and inferred form, we test whether the computed concept hierarchies are correct by comparing them to the inferred form of the official distribution. The reasoners are categorized along the defined characteristics and benchmarked against well-known biomedical ontologies. The main conclusion from this study is that reasoners vary significantly with regard to all included characteristics, and therefore a critical assessment and evaluation of requirements is needed before selecting a reasoner for a real-life application
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