首页> 外文OA文献 >Proteomic Analysis of Differently Expressed Proteins in a Mouse Model for Allergic Asthma
【2h】

Proteomic Analysis of Differently Expressed Proteins in a Mouse Model for Allergic Asthma

机译:过敏性哮喘小鼠模型中差异表达蛋白质的蛋白质组学分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Allergic asthma is associated with persistent functional and structural changes in the airways and involves many different cell types. Many proteins involved in allergic asthma have been identified individually, but complete protein profiles (proteome) have not yet been reported. Here we have used a differential proteome mapping strategy to identify tissue proteins that are differentially expressed in mice with allergic asthma and in normal mice. Mouse lung tissue proteins were separated using two-dimensional gel electrophoresis over a pH range between 4 and 7, digested, and then analyzed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MS). The proteins were identified using automated MS data acquisition. The resulting data were searched against a protein database using an internal Mascot search routine. This approach identified 15 proteins that were differentially expressed in the lungs of mice with allergic asthma and normal mice. All 15 proteins were identified by MS, and 9 could be linked to asthma-related symptoms, oxidation, or tissue remodeling. Our data suggest that these proteins may prove useful as surrogate biomarkers for quantitatively monitoring disease state progression or response to therapy.
机译:过敏性哮喘与气道持续的功能和结构改变有关,并涉及许多不同的细胞类型。已经单独鉴定出许多与过敏性哮喘有关的蛋白质,但是尚未报道完整的蛋白质谱(蛋白质组)。在这里,我们使用了差异蛋白质组定位策略来鉴定在过敏性哮喘小鼠和正常小鼠中差异表达的组织蛋白。使用二维凝胶电泳在4到7之间的pH范围内分离小鼠肺组织蛋白,将其消化,然后通过基质辅助激光解吸/电离飞行时间质谱(MS)进行分析。使用自动MS数据采集识别蛋白质。使用内部Mascot搜索例程针对蛋白质数据库搜索所得数据。该方法鉴定了15种在过敏性哮喘小鼠和正常小鼠的肺中差异表达的蛋白质。 MS鉴定了全部15种蛋白质,其中9种可能与哮喘相关的症状,氧化或组织重塑有关。我们的数据表明,这些蛋白质可能被用作替代生物标志物,用于定量监测疾病状态的进展或对治疗的反应。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号