Proteomic analysis of differently expressed proteins in a mouse model for allergic asthma
Proteomic analysis of differently expressed proteins in a mouse model for allergic asthma
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DOI：
10.3346/jkms.2005.20.4.579
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发表时间：
2005-08-01
影响因子：
4.5
通讯作者：
Park, CS
中科院分区：
文献类型：
--
作者：
Jeong, H;Rhim, T;Park, CS
过敏性哮喘与气道的持续功能和结构变化有关，并涉及许多不同的细胞类型。许多与过敏性哮喘有关的蛋白质已被单独鉴定，但完整的蛋白质谱（蛋白质组）尚未报道。在这里，我们使用差异蛋白质组作图策略来识别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 至 7 的 pH 范围内分离小鼠肺组织蛋白，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 数据采集来鉴定蛋白质。使用内部 Mascot 搜索例程对蛋白质数据库搜索所得数据。该方法鉴定了 15 种蛋白质，这些蛋白质在过敏性哮喘小鼠和正常小鼠的肺部有差异表达。 MS 鉴定出所有 15 种蛋白质，其中 9 种可能与哮喘相关症状、氧化或组织重塑有关。我们的数据表明，这些蛋白质可能被证明可用作替代生物标志物，用于定量监测疾病状态进展或对治疗的反应。
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.