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  • 1
    Publication Date: 2020-10-14
    Description: DNA adenine methylation by Caulobacter crescentus Cell Cycle Regulated Methyltransferase (CcrM) is an important epigenetic regulator of gene expression. The recent CcrM-DNA cocrystal structure shows the CcrM dimer disrupts four of the five base pairs of the (5′-GANTC-3′) recognition site. We developed a fluorescence-based assay by which Pyrrolo-dC tracks the strand separation event. Placement of Pyrrolo-dC within the DNA recognition site results in a fluorescence increase when CcrM binds. Non-cognate sequences display little to no fluorescence changes, showing that strand separation is a specificity determinant. Conserved residues in the C-terminal segment interact with the phospho-sugar backbone of the non-target strand. Replacement of these residues with alanine results in decreased methylation activity and changes in strand separation. The DNA recognition mechanism appears to occur with the Type II M.HinfI DNA methyltransferase and an ortholog of CcrM, BabI, but not with DNA methyltransferases that lack the conserved C-terminal segment. The C-terminal segment is found broadly in N4/N6-adenine DNA methyltransferases, some of which are human pathogens, across three Proteobacteria classes, three other phyla and in Thermoplasma acidophilum, an Archaea. This Pyrrolo-dC strand separation assay should be useful for the study of other enzymes which likely rely on a strand separation mechanism.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 2
    Publication Date: 2019-07-26
    Description: Refracturing technology has been widely applied to increase the production rate of multi-fractured horizontal wells (MFHWs) and enhance ultimate recovery. However, due to the complicated relationships between various parameters, it is often difficult to select candidate wells for refracturing. A novel method combining analytic hierarchy process (AHP), grey relation analysis (GRA) and fuzzy logic was proposed in this study to evaluate refracturing potential of wells from reservoir quality and initial completion efficiency. First, based on the parameters of the constructed wells, several elements were chosen as appraisal factors. AHP was used to establish a multi-parameter evaluation system for refracturing treatment. Then, GRA was used to calculate the weight coefficient and sort out the main factors that influence fracturing result. Finally, GRA was coupled with fuzzy logic to determine the classification threshold of reservoir quality. A novel comprehensive evaluation score (CES) was proposed to determine the priority of the refracturing wells. The method was successfully applied to a tight oilfield in Northeast China and the optimum refracturing potential area was selected based on the reservoirs quality and completion efficiency by using quadrant analysis. Average daily oil production increased from 2.3 to 17.6 tons per day after refracturing treatment. The method can be used to identify refracturing candidates quickly and economically.
    Print ISSN: 1742-2132
    Electronic ISSN: 1742-2140
    Topics: Geosciences
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