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        Identification of a novel tRNA wobble uridine modifying activity in the biosynthesis of 5-methoxyuridine

        Ryu, Huijeong,Grove, Tyler L,Almo, Steven C,Kim, Jungwook Oxford University Press 2018 Nucleic acids research Vol.46 No.17

        <P><B>Abstract</B></P><P>Derivatives of 5-hydroxyuridine (ho<SUP>5</SUP>U), such as 5-methoxyuridine (mo<SUP>5</SUP>U) and 5-oxyacetyluridine (cmo<SUP>5</SUP>U), are ubiquitous modifications of the wobble position of bacterial tRNA that are believed to enhance translational fidelity by the ribosome. In gram-negative bacteria, the last step in the biosynthesis of cmo<SUP>5</SUP>U from ho<SUP>5</SUP>U involves the unique metabolite carboxy <I>S</I>-adenosylmethionine (Cx-SAM) and the carboxymethyl transferase CmoB. However, the equivalent position in the tRNA of Gram-positive bacteria is instead mo<SUP>5</SUP>U, where the methyl group is derived from SAM and installed by an unknown methyltransferase. By utilizing a <I>cmoB-</I>deficient strain of <I>Escherichia coli</I> as a host and assaying for the formation of mo<SUP>5</SUP>U in total RNA isolates with methyltransferases of unknown function from <I>Bacillus subtilis</I>, we found that this modification is installed by the enzyme TrmR (formerly known as YrrM). Furthermore, X-ray crystal structures of TrmR with and without the anticodon stemloop of tRNA<SUP>Ala</SUP> have been determined, which provide insight into both sequence and structure specificity in the interactions of TrmR with tRNA.</P>

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        Risk Stratification in Cancer Patients with Acute Upper Gastrointestinal Bleeding: Comparison of Glasgow-Blatchford, Rockall and AIMS65, and Development of a New Scoring System

        Matheus Cavalcante Franco,Sunguk Jang,Bruno da Costa Martins,Tyler Stevens,Vipul Jairath,Rocio Lopez,John J. Vargo,Alan Barkun,Fauze Maluf-Filho 대한소화기내시경학회 2022 Clinical Endoscopy Vol.55 No.2

        Background/Aims: Few studies have measured the accuracy of prognostic scores for upper gastrointestinal bleeding (UGIB)among cancer patients. Thereby, we compared the prognostic scores for predicting major outcomes in cancer patients with UGIB. Secondarily, we developed a new model to detect patients who might require hemostatic care. Methods: A prospective research was performed in a tertiary hospital by enrolling cancer patients admitted with UGIB. Clinical andendoscopic findings were obtained through a prospective database. Multiple logistic regression analysis was performed to gauge thepower of each score. Results: From April 2015 to May 2016, 243 patients met the inclusion criteria. The AIMS65 (area under the curve [AUC] 0.85) bestpredicted intensive care unit admission, while the Glasgow-Blatchford score best predicted blood transfusion (AUC 0.82) and thelow-risk group (AUC 0.92). All scores failed to predict hemostatic therapy and rebleeding. The new score was superior (AUC 0.74)in predicting hemostatic therapy. The AIMS65 (AUC 0.84) best predicted in-hospital mortality. Conclusions: The scoring systems for prognostication were validated in the group of cancer patients with UGIB. A new score wasdeveloped to predict hemostatic therapy. Following this result, future prospective research should be performed to validate the newscore.

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