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Development and application of a novel high- throughput technique for screening neutrophil extracellular traps

机译:用于筛选中性粒细胞胞外陷阱的新型高通量技术的开发和应用

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摘要

Neutrophil extracellular traps (NETs) are antimicrobial web-like structures whose release is mediated by reactive oxygen species (ROS) and purpose is to combat infections. Unbalanced NET production and clearance is, however, associated with auto-antibody production and disease. This thesis aimed to develop a High-Content-Analysis (HCA) approach to study human NETosis and its modulation. Initially, NET-related disease-relevant conditions were studied. Individual periodontal-bacteria generated substantial NET production compared with bacterial biofilms. Calcium or magnesium ions and increases in cell density enhanced NET responses. As part of this study the use of fixation and cell adherence procedures were explored and data indicated that addition of paraformaldehyde prior to centrifugation and the absence of poly-L-lysine provided appropriate conditions for downstream cytological analysis. ‘Compartmental Analysis’ and ‘Tube Formation’ algorithms were initially assessed for HCA, however, it was determined that bespoke ‘NET Detection’ and ‘Nuclear Decondensation’ algorithms provided more accurate analysis of NETosis and peptidyl-arginine-deiminase-4 translocation. The optimised protocol employed for the high-content-screening of a 56-compound library identified 8 NETosis modulators. Further characterisation of compounds’ abilities to modulate ROS and NET production, identified roles for glutathione reductase, Src, molecular-target-of-Rapamycin and mitogen-activated-protein-kinase signalling. These pathways may provide new therapeutic targets for treatment of NET-related inflammatory disorders including periodontitis.
机译:中性粒细胞胞外诱捕器(NETs)是抗菌网状结构,其释放由活性氧(ROS)介导,目的是抵抗感染。但是,NET生产和清除的不平衡与自身抗体的生产和疾病有关。本文旨在开发一种高内涵分析(HCA)方法来研究人类NETosis及其调控。最初,研究了与NET相关的疾病相关疾病。与细菌生物膜相比,单个牙周细菌产生大量的净产生。钙或镁离子以及细胞密度的增加增强了NET响应。作为这项研究的一部分,探索了固定和细胞粘附程序的使用,数据表明,离心前添加多聚甲醛和不存在聚L-赖氨酸为下游细胞学分析提供了合适的条件。最初对HCA评估了“区室分析”和“管形成”算法,但是确定了定制的“ NET检测”和“核解聚”算法可以对NETosis和肽基-精氨酸-脱亚氨酶4易位进行更准确的分析。用于对56种化合物库进行高内涵筛选的优化方案确定了8种NETosis调节剂。进一步表征化合物调节ROS和NET产生的能力,确定了谷胱甘肽还原酶,Src,雷帕霉素分子靶标和促分裂原活化蛋白激酶信号传导的作用。这些途径可能为治疗与NET相关的炎性疾病(包括牙周炎)提供新的治疗靶标。

著录项

  • 作者

    Chicca Ilaria Jessica;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 English
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