基于itraq的蛋白质组学分析揭示了过表达FGFR2的人成骨细胞中可能的靶标相关蛋白和信号网络。

IF 2.1 3区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Proteome Science Pub Date : 2018-06-19 eCollection Date: 2018-01-01 DOI:10.1186/s12953-018-0140-x
Tianyi Cai, Baojin Wu, Xinjie Tang, Zhaoping Zhou, Junyi Yang, Ronghu Ke, Xiongzheng Mu
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引用次数: 7

摘要

背景:成纤维细胞生长因子受体2 (FGFR2)在骨骼形成中起着至关重要的作用。然而,FGFR2在成骨细胞中引发的分子机制尚不完全清楚。在本研究中,我们通过蛋白质组学和生物信息学分析来研究FGFR2调控的蛋白谱的变化,目的是表征FGFR2在成骨细胞中功能的分子机制。方法:采用慢病毒包装载体(hbf1.19)在人成骨细胞中构建fgfr2过表达细胞系。接下来,使用相对和绝对定量等压标签(iTRAQ)结合液相色谱-串联质谱(LC-MS/MS)方法比较对照和fgfr2过表达细胞之间的蛋白质组学变化。阈值(倍数变化≥1.5,p值为)结果:共鉴定出149例dep。dep主要位于细胞器内,参与蛋白结合和胞外信号转导的调控。在fgfr2过表达的细胞中,ColI、TNC、FN1和CDKN1A显著下调,而UBE2E3、ADNP2和HSP70显著上调。KEEG分析表明,关键通路包括细胞死亡、PI3K-Akt信号转导、局灶黏附和细胞周期。结论:据我们所知,这是第一个研究fgfr2过表达成骨细胞中蛋白水平改变和受影响途径的原组学研究。因此,本研究不仅提供了FGFR2调控的整体蛋白变化的全面数据集,而且揭示了其在人成骨细胞中的潜在分子机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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iTRAQ-Based Proteomic Analysis reveals possible target-related proteins and signal networks in human osteoblasts overexpressing FGFR2.

Background: Fibroblast growth factor receptor 2 (FGFR2) play a vital role in skeletogenesis. However, the molecular mechanisms triggered by FGFR2 in osteoblasts are still not fully understood. In this study, proteomics and bioinformatics analysis were performed to investigate changes in the protein profiles regulated by FGFR2, with the goal of characterizing the molecular mechanisms of FGFR2 function in osteoblasts.

Methods: In this study, FGFR2-overexpression cell line was established using the lentivirus-packaging vector in human osteoblasts (hFOB1.19). Next, the isobaric tags for relative and absolute quantitation (iTRAQ) in combination with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was used to compare the proteomic changes between control and FGFR2-overexpression cells. Thresholds (fold-change of ≥ 1.5 and a P-value of < 0.05) were selected to determine differentially expressed proteins (DEPs). The bioinformatics analysis including GO and pathway analysis were done to identify the key pathways underlying the molecular mechanism.

Results: A Total of 149 DEPs was identified. The DEPs mainly located within organelles and involved in protein binding and extracellular regulation of signal transduction. ColI, TNC, FN1 and CDKN1A were strikingly downregulated while UBE2E3, ADNP2 and HSP70 were significantly upregulated in FGFR2-overexpression cells. KEEG analysis suggested the key pathways included cell death, PI3K-Akt signaling, focal adhesion and cell cycle.

Conclusions: To our knowledge, this is the first protomic research to investigate alterations in protein levels and affected pathways in FGFR2-overexpression osteoblasts. Thus, this study not only provides a comprehensive dataset on overall protein changes regulated by FGFR2, but also shed light on its potential molecular mechanism in human osteoblasts.

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来源期刊
Proteome Science
Proteome Science 生物-生化研究方法
CiteScore
2.90
自引率
0.00%
发文量
17
审稿时长
4.5 months
期刊介绍: Proteome Science is an open access journal publishing research in the area of systems studies. Proteome Science considers manuscripts based on all aspects of functional and structural proteomics, genomics, metabolomics, systems analysis and metabiome analysis. It encourages the submissions of studies that use large-scale or systems analysis of biomolecules in a cellular, organismal and/or environmental context. Studies that describe novel biological or clinical insights as well as methods-focused studies that describe novel methods for the large-scale study of any and all biomolecules in cells and tissues, such as mass spectrometry, protein and nucleic acid microarrays, genomics, next-generation sequencing and computational algorithms and methods are all within the scope of Proteome Science, as are electron topography, structural methods, proteogenomics, chemical proteomics, stem cell proteomics, organelle proteomics, plant and microbial proteomics. In spite of its name, Proteome Science considers all aspects of large-scale and systems studies because ultimately any mechanism that results in genomic and metabolomic changes will affect or be affected by the proteome. To reflect this intrinsic relationship of biological systems, Proteome Science will consider all such articles.
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