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GRB2相关结合蛋白2调节与前列腺癌发展相关的多种途径。

GRB2-associated binding protein 2 regulates multiple pathways associated with the development of prostate cancer.

作者信息

Qiao Xiang-Rui, Zhang Xinwei, Mu Lijun, Tian Juanhua, Du Yuefeng

机构信息

Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China.

Key Laboratory of Molecular Cardiology, Xi'an Jiaotong University, Ministry of Education, Xi'an, Shaanxi 710061, P.R. China.

出版信息

Oncol Lett. 2020 Oct;20(4):99. doi: 10.3892/ol.2020.11960. Epub 2020 Aug 7.

Abstract

The development of prostate cancer is complicated and involves a number of tumor-associated gene expression level abnormalities. Gene chip technology is a high-throughput method that can detect gene expression levels in different tissues and cells on a large scale. In the present study, gene chip technology was used to screen differentially expressed genes in PC-3 human prostate cancer cells following GRB-associated binding protein 2 (GAB2) gene knockdown, and the corresponding biological information was analyzed to investigate the role of in prostate cancer. The PC-3 human prostate cancer cell gene was knocked out and gene chip hybridization and bioinformatics methods were used to analyze the classical pathway and predict upstream regulatory molecules, disease and function associations and genetic interaction networks. According to the screening conditions |fold change|>1 and P<0.05, 1,242 differential genes were screened; 665 genes were upregulated, and 577 genes were downregulated. Ingenuity Pathway Analysis software demonstrated that regulates pathways, such as the superpathway of cholesterol biosynthesis and p53 signaling in cells, and serves a role in diseases and functions such as 'non-melanoma solid tumors', 'viral infections' and 'morbidity or mortality'. In the occurrence and development of prostate cancer, factors such as the activation of genes involved in the proliferative cycle, abnormalities in metabolism-associated enzyme gene activities and viral infection play key roles. The present study provides novel research directions and therapeutic targets for prostate cancer.

摘要

前列腺癌的发生发展较为复杂,涉及许多与肿瘤相关的基因表达水平异常。基因芯片技术是一种高通量方法,可大规模检测不同组织和细胞中的基因表达水平。在本研究中,利用基因芯片技术筛选GRB相关结合蛋白2(GAB2)基因敲低后PC-3人前列腺癌细胞中差异表达的基因,并分析相应的生物学信息,以研究其在前列腺癌中的作用。敲除PC-3人前列腺癌细胞基因,采用基因芯片杂交和生物信息学方法分析经典通路,预测上游调控分子、疾病与功能关联以及基因相互作用网络。根据筛选条件|倍数变化|>1且P<0.05,筛选出1242个差异基因;其中665个基因上调,577个基因下调。 Ingenuity Pathway Analysis软件显示,其调节细胞中胆固醇生物合成的超级通路和p53信号通路等途径,并在“非黑色素瘤实体瘤”、“病毒感染”和“发病率或死亡率”等疾病和功能中发挥作用。在前列腺癌的发生发展过程中,增殖周期相关基因的激活、代谢相关酶基因活性异常以及病毒感染等因素起着关键作用。本研究为前列腺癌提供了新的研究方向和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5271/7439102/832b4341d493/ol-20-04-11960-g00.jpg

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