Zhou Limin, Zheng Wei, Luo Majing, Feng Jing, Jin Zhichun, Wang Yan, Zhang Dunlan, Tang Qiongxiu, He Yan
Hubei Maternal and Child Health Hospital, Wuhan, Hubei, P.R. China.
Yichang Humanwell Pharmaceutical Co.,Ltd, Yichang, Hubei, P.R. China.
PLoS One. 2014 Jun 11;9(6):e99834. doi: 10.1371/journal.pone.0099834. eCollection 2014.
Cervical cancers are ranked the second-most hazardous ailments among women worldwide. In the past two decades, microarray technologies have been applied to study genes involved in malignancy progress. However, in most of the published microarray studies, only a few genes were reported leaving rather a large amount of data unused. Also, RNA-Seq data has become more standard for transcriptome analysis and is widely applied in cancer studies. There is a growing demand for a tool to help the experimental researchers who are keen to explore cervical cancer gene therapy, but lack computer expertise to access and analyze the high throughput gene expression data.
The dbCerEx database is designed to retrieve and process gene expression data from cervical cancer samples. It includes the genome wide expression profiles of cervical cancer samples, as well as a web utility to cluster genes with similar expression patterns. This feature will help researchers conduct further research to uncover novel gene functions.
The dbCerEx database is freely available for non-commercial use at http://128.135.207.10/dbCerEx/, and will be updated and integrated with more features as needed.
宫颈癌是全球女性中第二大致命疾病。在过去二十年中,微阵列技术已被应用于研究参与恶性进展的基因。然而,在大多数已发表的微阵列研究中,仅报道了少数基因,大量数据未被使用。此外,RNA测序数据已成为转录组分析的更标准数据,并广泛应用于癌症研究。对于那些热衷于探索宫颈癌基因治疗但缺乏计算机专业知识来访问和分析高通量基因表达数据的实验研究人员来说,对一种工具的需求日益增长。
dbCerEx数据库旨在检索和处理来自宫颈癌样本的基因表达数据。它包括宫颈癌样本的全基因组表达谱,以及一个用于对具有相似表达模式的基因进行聚类的网络实用程序。此功能将帮助研究人员进行进一步研究以发现新的基因功能。
dbCerEx数据库可在http://128.135.207.10/dbCerEx/上免费用于非商业用途,并将根据需要进行更新并集成更多功能。