Suppr超能文献

基于生物信息学分析鉴定与喉鳞状细胞癌样本相关的基因。

Identification of genes associated with laryngeal squamous cell carcinoma samples based on bioinformatic analysis.

作者信息

Yang Bo, Bao Xueli

机构信息

Department of Otolaryngology, Taizhou People's Hospital, Taizhou, Jiangsu 225300, P.R. China.

出版信息

Mol Med Rep. 2015 Sep;12(3):3386-3392. doi: 10.3892/mmr.2015.3794. Epub 2015 May 18.

Abstract

The present study aimed to investigate the differentially expressed genes (DEGs) between laryngeal squamous cell carcinoma (LSCC) samples and non‑neoplastic laryngeal squamous cell samples, and the underlying biological mechanism. Gene expression profile data of GSE51985 and GSE10288 were obtained from the Gene Expression Omnibus database. The DEGs between the LSCC and normal samples were identified using the rowtest function in the genefilter package. Hierarchical clustering for DEGs was performed to confirm the distinction between the identified DEGs, and Gene Ontology term and pathway enrichment analyses were performed to determine the underlying function of the DEGs. In addition, protein‑protein interaction networks were established to investigate the interactive mechanism of the DEGs. A total of 1,288 upregulated genes and 317 downregulated genes were identified between the LSCC samples and non‑neoplastic LSC samples in the GSE51985 dataset, and five upregulated and 26 downregulated genes were identified in the samples from the GSE10288 dataset. The DEGs were clearly distinguished between the LSCC sample and the non‑neoplastic LSCC sample by hierarchical clustering. The upregulated genes were predominantly involved in the cell cycle, cell division or focal adhesion, and the 295 upregulated genes formed 374 protein interaction pairs in interaction network analysis. The results revealed that the genes involved in the cell cycle, in cell division or in focal adhesion were associated with the development and progression of LSCC.

摘要

本研究旨在调查喉鳞状细胞癌(LSCC)样本与非肿瘤性喉鳞状细胞样本之间的差异表达基因(DEG)及其潜在的生物学机制。从基因表达综合数据库中获取了GSE51985和GSE10288的基因表达谱数据。使用genefilter包中的rowtest函数识别LSCC和正常样本之间的DEG。对DEG进行层次聚类以确认所识别的DEG之间的差异,并进行基因本体术语和通路富集分析以确定DEG的潜在功能。此外,建立蛋白质-蛋白质相互作用网络以研究DEG的相互作用机制。在GSE51985数据集中,在LSCC样本与非肿瘤性LSC样本之间共识别出1288个上调基因和317个下调基因,在GSE10288数据集的样本中识别出5个上调基因和26个下调基因。通过层次聚类,LSCC样本与非肿瘤性LSCC样本之间的DEG得到了清晰区分。上调基因主要参与细胞周期、细胞分裂或粘着斑,在相互作用网络分析中,这295个上调基因形成了374个蛋白质相互作用对。结果表明,参与细胞周期、细胞分裂或粘着斑的基因与LSCC的发生和发展有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfeb/4526082/6ce07eecabce/MMR-12-03-3386-g00.jpg

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