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基质辅助激光解吸电离成像和源内裂解用于胶质母细胞瘤的自上而下的表征。

MALDI imaging and in-source decay for top-down characterization of glioblastoma.

机构信息

Aix-Marseille Université Inserm, CRO2 UMR S-911, Marseille, France.

出版信息

Proteomics. 2014 May;14(10):1290-301. doi: 10.1002/pmic.201300329. Epub 2014 Feb 8.

Abstract

Glioblastoma multiforme is one of the most common intracranial tumors encountered in adults. This tumor of very poor prognosis is associated with a median survival rate of approximately 14 months. One of the major issues to better understand the biology of these tumors and to optimize the therapy is to obtain the molecular structure of glioblastoma. MALDI molecular imaging enables location of molecules in tissues without labeling. However, molecular identification in situ is not an easy task. In this paper, we used MALDI imaging coupled to in-source decay to characterize markers of this pathology. We provided MALDI molecular images up to 30 μm spatial resolution of mouse brain tissue sections. MALDI images showed the heterogeneity of the glioblastoma. In the various zones and at various development stages of the tumor, using our top-down strategy, we identified several proteins. These proteins play key roles in tumorigenesis. Particular attention was given to the necrotic area with characterization of hemorrhage, one of the most important poor prognosis factors in glioblastoma.

摘要

多形性胶质母细胞瘤是成人中最常见的颅内肿瘤之一。这种预后极差的肿瘤,其平均存活期约为 14 个月。为了更好地了解这些肿瘤的生物学特性并优化治疗方法,其中一个主要问题是获取胶质母细胞瘤的分子结构。MALDI 分子成像可在不进行标记的情况下定位组织中的分子。然而,进行原位分子鉴定并非易事。在本文中,我们使用 MALDI 成像结合源内降解来对该病理的标志物进行特征分析。我们提供了空间分辨率高达 30μm 的小鼠脑组织切片的 MALDI 分子图像。MALDI 图像显示了胶质母细胞瘤的异质性。在肿瘤的各个区域和不同发展阶段,我们采用自上而下的策略,鉴定了多种蛋白质。这些蛋白质在肿瘤发生中发挥着关键作用。特别关注了坏死区域,对胶质母细胞瘤最重要的预后不良因素之一——出血进行了特征分析。

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