Suppr超能文献

多管齐下的定量蛋白质组学分析表明人类脑膜瘤中各种信号转导通路受到调控。

Multipronged quantitative proteomic analyses indicate modulation of various signal transduction pathways in human meningiomas.

作者信息

Sharma Samridhi, Ray Sandipan, Mukherjee Shuvolina, Moiyadi Aliasgar, Sridhar Epari, Srivastava Sanjeeva

机构信息

Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.

出版信息

Proteomics. 2015 Jan;15(2-3):394-407. doi: 10.1002/pmic.201400328.

Abstract

Meningiomas (MGs) are frequent tumors of the CNS originating from the meningeal layers of the spinal cord and the brain. In this study, comparative tissue proteomic analysis of low and high grades of MGs was performed by using iTRAQ-based quantitative proteomics in combination with ESI-quadrupole-TOF and Q-Exactive MS, and results were validated by employing ELISA. Combining the results obtained from two MS platforms, we were able to identify overall 4308 proteins (1% false discover rate), among which 2367 exhibited differential expression (more than and equal to 2 peptide and ≥ 1.5-fold in at least one grade) in MGs. Several differentially expressed proteins were found to be associated with diverse signaling pathways, including integrin, Wnt, Ras, epidermal growth factor receptor, and FGR signaling. Proteins, such as vinculin or histones, which act as the signaling activators to initiate multiple signaling pathways, were found to be upregulated in MGs. Quite a few candidates, such as protein S-100A6, aldehyde dehydrogenase mitochondrial, AHNAK, cytoskeleton-associated protein 4, and caveolin, showed sequential increase in low- and high-grade MGs, whereas differential expressions of collagen alpha-1 (VI), protein S100-A9, 14 kDa phosphohistidine phosphatase, or transgelin-2 were found to be grade specific. Our findings provide new insights regarding the association of various signal transduction pathways in MG pathogenesis and may introduce new opportunities for the early detection and prognosis of MGs.

摘要

脑膜瘤(MGs)是中枢神经系统常见肿瘤,起源于脊髓和脑的脑膜层。在本研究中,采用基于iTRAQ的定量蛋白质组学结合电喷雾四极杆飞行时间质谱(ESI - quadrupole - TOF)和Q - Exactive质谱对低级别和高级别脑膜瘤进行了比较组织蛋白质组学分析,并通过酶联免疫吸附测定(ELISA)对结果进行了验证。综合两个质谱平台获得的结果,我们总共鉴定出4308种蛋白质(错误发现率为1%),其中2367种在脑膜瘤中表现出差异表达(至少在一个级别中肽段数大于等于2且倍数变化≥1.5倍)。发现几种差异表达的蛋白质与多种信号通路相关,包括整合素、Wnt、Ras、表皮生长因子受体和FGR信号通路。发现诸如纽蛋白或组蛋白等作为启动多种信号通路的信号激活剂的蛋白质在脑膜瘤中上调。相当多的候选蛋白,如蛋白质S - 100A6、线粒体醛脱氢酶、AHNAK、细胞骨架相关蛋白4和小窝蛋白,在低级别和高级别脑膜瘤中呈逐步增加,而胶原蛋白α - 1(VI)、蛋白质S100 - A9、14 kDa磷酸组氨酸磷酸酶或原肌球蛋白 - 2的差异表达具有级别特异性。我们的研究结果为脑膜瘤发病机制中各种信号转导通路的关联提供了新的见解,并可能为脑膜瘤的早期检测和预后带来新的机会。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验