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利用人体组织的基因表达谱发现肺癌中的基因调控模式。

Discovery of Gene Regulation Pattern in Lung Cancer by Gene Expression Profiling Using Human Tissues.

作者信息

Fu Junjie, Khaybullin Ravil, Liang Xiao, Morin Madeleine, Xia Amy, Yeh Anderson, Qi Xin

机构信息

Department of Medicinal Chemistry, University of Florida.

出版信息

Genom Data. 2015 Mar 1;3:112-115. doi: 10.1016/j.gdata.2014.12.004.

Abstract

Lung cancer continues to be one the most prevalent and life threatening cancers worldwide. In order to study the gene regulation pattern in lung cancer for new therapeutics discovery, gene expression profiling using human lung cancer tissues was conducted. The gene expression profiles were established using Affymetrix Human Exon 1.0 ST Array with RNA extracts from six clinical patients (five lung cancer samples and one normal control). The raw data were analyzed with Affymetrix Expression Console and Affymetrix Transcriptome Analysis Console 2.0. The regulation of several genes were further validated using real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR). Here we provide detailed experimental methods and analysis for the microarray data, which have been deposited into Gene Expression Omnibus (GEO) under GSE63571.

摘要

肺癌仍然是全球最普遍且危及生命的癌症之一。为了研究肺癌中的基因调控模式以发现新的治疗方法,我们使用人类肺癌组织进行了基因表达谱分析。基因表达谱是通过Affymetrix Human Exon 1.0 ST Array以及来自六名临床患者(五个肺癌样本和一个正常对照)的RNA提取物建立的。原始数据使用Affymetrix Expression Console和Affymetrix Transcriptome Analysis Console 2.0进行分析。几个基因的调控通过实时逆转录定量聚合酶链反应(RT-qPCR)进一步验证。在此,我们提供了微阵列数据的详细实验方法和分析,这些数据已存入Gene Expression Omnibus(GEO),登录号为GSE63571。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fa/4535610/1080a77874b5/gr1.jpg

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