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首页> 外文期刊>Journal of proteomics >Differential proteomics of the plasma of individuals with sepsis caused by Acinetobacter baumannii.
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Differential proteomics of the plasma of individuals with sepsis caused by Acinetobacter baumannii.

机译:脓毒病患者脓毒症患者血浆血浆差分蛋白质组学。

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This study examines alterations in the plasma proteome in ten adults affected by sepsis caused by Acinetobacter baumannii as compared to paired healthy controls. 2-DE profiles of plasma from patients and paired healthy donors, depleted of the six most abundant proteins, were analysed by the DIGE technique. Protein spot detection and quantification were performed with the Differential In-gel Analysis and Biological Variation Analysis modules of the DeCyder() software. Differentially expressed proteins were identified by mass spectrometry (MALDI-TOF/TOF) after colloidal Coomassie blue staining. Almost 900 spots were detected on a unique 2-D gel by the DIGE technique. A total of 269 protein spots of differential abundance were shown to be statistically significant (2.5-fold) with p values of p< or =0.01 (135 spots) and p< or =0.05 (134 spots) as determined by the t test. Seventy-one spots were submitted to mass spectrometry and about 30% could be successfully identified. This multiplex approach significantly reduced experimental variability, allowing for the confident detection of small differences in protein levels. Results include differentially expressed lipoproteins as well as proteins belonging to inflammatory/coagulation pathways and the kallikrein-kinin system. These data improves the knowledge for future developments in sepsis diagnosis, staging and therapy.
机译:本研究检测由脓毒症患者造成的十种成年人血浆蛋白质组中的血浆蛋白质中的改变,与成对的健康对照相比。通过DIGE技术分析了来自患者和配对健康供体的血浆和配对健康供体的2-DE曲线,耗尽了六种最丰富的蛋白质。用Decyder()软件的差分内凝胶分析和生物变化分析模块进行蛋白质点检测和定量。通过质谱(MALDI-TOF / TOF)鉴定差异表达的蛋白质在胶体COOMASSIE蓝染色后鉴定。通过DIGE技术在独特的2-D凝胶上检测到几乎900个斑点。总共269个差异丰度的蛋白质斑点被显示为统计学显着的(2.5倍),P值为P <或= 0.01(135个斑点)和P <或= 0.05(134个斑点),如T检验所确定的。将七十一点提交给质谱法,可以成功确定约30%。这种多重方法显着降低了实验变异性,允许自信地检测蛋白质水平的小差异。结果包括差异表达的脂蛋白以及属于炎症/凝血途径和Kallikrein-kinin系统的蛋白质。这些数据改善了败血症诊断,分期和治疗的未来发展的知识。

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