Pooladi Mehdi, Rezaei-Tavirani Mostafa, Hashemi Mehrdad, Hesami-Tackallou Saeed, Khaghani-Razi-Abad Solmaz, Moradi Afshin, Zali Ali Reza, Mousavi Masoumeh, Firozi-Dalvand Leila, Rakhshan Azadeh, Zamanian Azodi Mona
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran ; Dept. of Biology, School of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Iran J Cancer Prev. 2014 Spring;7(2):87-95.
Glioblastoma Multiforme (GBM) or grade IV astrocytoma is the most common and lethal adult malignant brain tumor. Several of the molecular alterations detected in gliomas may have diagnostic and/or prognostic implications. Proteomics has been widely applied in various areas of science, ranging from the deciphering of molecular pathogen nests of discuses.
In this study proteins were extracted from the tumor and normal brain tissues and then the protein purity was evaluated by Bradford test and spectrophotometry. In this study, proteins were separated by 2-Dimensional Gel (2DG) electrophoresis method and the spots were then analyzed and compared using statistical data and specific software. Protein clustering analysis was performed on the list of proteins deemed significantly altered in glioblastoma tumors (t-test and one-way ANOVA; P< 0.05).
The 2D gel showed totally 876 spots. We reported, 172 spots were exhibited differently in expression level (fold > 2) for glioblastoma. On each analytical 2D gel, an average of 876 spots was observed. In this study, 188 spots exhibited up regulation of expression level, whereas the remaining 232 spots were decreased in glioblastoma tumor relative to normal tissue. Results demonstrate that functional clustering (up and down regulated) and Principal Component Analysis (PCA) has considerable merits in aiding the interpretation of proteomic data.
2D gel electrophoresis is the core of proteomics which permitted the separation of thousands of proteins. High resolution 2DE can resolve up to 5,000 proteins simultaneously. Using cluster analysis, we can also form groups of related variables, similar to what is practiced in factor analysis.
多形性胶质母细胞瘤（GBM）或IV级星形细胞瘤是最常见且致命的成人恶性脑肿瘤。在胶质瘤中检测到的几种分子改变可能具有诊断和/或预后意义。蛋白质组学已广泛应用于各个科学领域，从破译疾病的分子病原体巢穴。
在本研究中，从肿瘤组织和正常脑组织中提取蛋白质，然后通过Bradford试验和分光光度法评估蛋白质纯度。在本研究中，采用二维凝胶（2DG）电泳法分离蛋白质，然后使用统计数据和特定软件对斑点进行分析和比较。对胶质母细胞瘤肿瘤中被认为有显著改变的蛋白质列表进行蛋白质聚类分析（t检验和单因素方差分析；P<0.05）。
二维凝胶共显示876个斑点。我们报告，胶质母细胞瘤中有172个斑点的表达水平呈现差异（倍数>2）。在每张分析二维凝胶上，平均观察到876个斑点。在本研究中，188个斑点的表达水平上调，而相对于正常组织，胶质母细胞瘤肿瘤中其余232个斑点减少。结果表明，功能聚类（上调和下调）和主成分分析（PCA）在辅助蛋白质组学数据解释方面具有相当大的优点。
二维凝胶电泳是蛋白质组学的核心，它可以分离数千种蛋白质。高分辨率二维电泳可同时解析多达5000种蛋白质。使用聚类分析，我们还可以形成相关变量组，类似于因子分析中的做法。
