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Glioma pathophysiology: insights emerging from proteomics.

机译:胶质瘤病理生理学:从蛋白质组学中获得的见解。

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摘要

Proteomics is increasingly employed in both neurological and oncological research to provide insight into the molecular basis of disease but rarely has a coherent, novel pathophysiological insight emerged. Gliomas account for >50% of adult primary intracranial tumors, with malignant gliomas (anaplastic astrocytomas and glioblastoma multiforme) being the most common. In glioma, the application of proteomic technology has identified altered protein expression but without consistency of these alterations or their biological significance being established. A systematic review of multiple independent proteomic analyses of glioma has demonstrated alterations of 99 different proteins. Importantly 10 of the 99 proteins found differentially expressed in glioma [PHB, Hsp20, serum albumin, epidermal growth factor receptor (EGFR), EA-15, RhoGDI, APOA1, GFAP, HSP70, PDIA3] were identified in multiple publications. An assessment of protein-protein interactions between these proteins compiled using novel web-based technology, revealed a robust and cohesive network for glioblastoma. The protein network discovered (containing TP53 and RB1 at its core) compliments recent findings in genomic studies of malignant glioma. The novel perspective provided by network analysis indicates that the potential of this technology to explore crucial aspects of glioma pathophysiology can now be realized but only if the conceptual and technical limitations highlighted in this review are addressed.
机译:蛋白质组学越来越多地用于神经学和肿瘤学研究,以提供对疾病分子基础的见识,但很少出现连贯的,新颖的病理生理学见解。胶质瘤占成人原发性颅内肿瘤的50%以上,最常见的是恶性神经胶质瘤(间变性星形细胞瘤和多形性胶质母细胞瘤)。在神经胶质瘤中,蛋白质组学技术的应用已确定了蛋白质表达的改变,但是这些改变的一致性或生物学意义尚未得到确定。对神经胶质瘤的多个独立蛋白质组学分析的系统综述显示了99种不同蛋白质的改变。重要的是,在多个出版物中鉴定出在神经胶质瘤中差异表达的99种蛋白质中的10种[PHB,Hsp20,血清白蛋白,表皮生长因子受体(EGFR),EA-15,RhoGDI,APOA1,GFAP,HSP70,PDIA3]。对使用新颖的基于Web的技术编译的这些蛋白质之间的蛋白质-蛋白质相互作用的评估显示,胶质母细胞瘤具有强大的凝聚力网络。发现的蛋白质网络(在其核心中包含TP53和RB1)补充了恶性神经胶质瘤基因组研究中的最新发现。网络分析提供的新颖观点表明,只有解决了本综述中强调的概念和技术局限性,现在才可以实现该技术探索神经胶质瘤病理生理学关键方面的潜力。

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