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使用微阵列和生物信息学分析相结合的方法鉴定新型蛋白酶体抑制剂伊沙佐米对结直肠癌的抗癌作用。

Identification of the anticancer effects of a novel proteasome inhibitor, ixazomib, on colorectal cancer using a combined method of microarray and bioinformatics analysis.

作者信息

Fan Qiaowei, Liu Bingrong

机构信息

Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

出版信息

Onco Targets Ther. 2017 Jul 19;10:3591-3606. doi: 10.2147/OTT.S139686. eCollection 2017.

Abstract

PURPOSE

The study aimed to explore the anticancer effects of a novel proteasome inhibitor, ixazomib, on colorectal cancer (CRC) using a combined method of microarray and bioinformatics analysis.

MATERIALS AND METHODS

Cell proliferation was tested by Cell Counting Kit-8 (CCK-8) assay for SW620 cells treated with different concentrations of ixazomib and different treatment times. The microarray analysis was conducted for six samples, including three samples of SW620 cells untreated with ixazomib and three samples of SW620 cells treated with ixazomib. The differentially expressed genes (DEGs) between untreated and treated samples were identified by the Linear Models for Microarray data (LIMMA) package in R language. The Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed for the DEGs using the Database for Annotation, Visualization and Integrated Discovery (DAVID) and KEGG Orthology-Based Annotation System (KOBAS) online tool. The protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and module analysis was performed for the PPI network.

RESULTS

Ixazomib could inhibit the proliferation of SW620 cells in a dose-dependent and time-dependent manner. A total of 743 DEGs, including 203 upregulated DEGs such as and 540 downregulated DEGs such as , were identified. Eighty-three GO terms were enriched for DEGs, which were mainly related to protein folding, apoptotic process, transcription factor activity, and proteasome. Thirty-seven KEGG pathways were perturbed, including pathway of apoptosis and cell cycle. Forty-six hub genes, such as , , and , were screened out, and three modules with important functions were mined from the PPI network.

CONCLUSION

The novel proteasome inhibitor ixazomib significantly inhibited the proliferation of human CRC SW620 cells. It exerted anticancer effects through targeting the expression of DEGs, such as , , , and , and affecting the signaling pathways including apoptosis and cell cycle pathway, which demonstrated the promising potential of ixazomib for CRC therapy.

摘要

目的

本研究旨在采用微阵列和生物信息学分析相结合的方法,探讨新型蛋白酶体抑制剂伊沙佐米对结直肠癌(CRC)的抗癌作用。

材料与方法

使用细胞计数试剂盒-8(CCK-8)检测不同浓度伊沙佐米处理不同时间的SW620细胞的增殖情况。对六个样本进行微阵列分析,包括三个未用伊沙佐米处理的SW620细胞样本和三个用伊沙佐米处理的SW620细胞样本。使用R语言中的微阵列数据线性模型(LIMMA)软件包鉴定未处理和处理样本之间的差异表达基因(DEG)。使用注释、可视化和综合发现数据库(DAVID)和基于KEGG直系同源的注释系统(KOBAS)在线工具对DEG进行基因本体(GO)功能和京都基因与基因组百科全书(KEGG)通路富集分析。使用相互作用基因/蛋白质检索工具(STRING)数据库构建蛋白质-蛋白质相互作用(PPI)网络,并对PPI网络进行模块分析。

结果

伊沙佐米可呈剂量依赖性和时间依赖性抑制SW620细胞的增殖。共鉴定出743个DEG,包括203个上调的DEG,如 ,以及540个下调的DEG,如 。83个GO术语在DEG中富集,主要与蛋白质折叠、凋亡过程、转录因子活性和蛋白酶体有关。37条KEGG通路受到干扰,包括凋亡和细胞周期通路。筛选出46个枢纽基因,如 、 和 ,并从PPI网络中挖掘出三个具有重要功能的模块。

结论

新型蛋白酶体抑制剂伊沙佐米显著抑制人CRC SW620细胞的增殖。它通过靶向 、 、 和 等DEG的表达发挥抗癌作用,并影响包括凋亡和细胞周期通路在内的信号通路,这表明伊沙佐米在CRC治疗中具有广阔的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/002d/5530849/931e2e1daa4a/ott-10-3591Fig1.jpg

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