Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Shanghai Majorbio Bio-pharm Biotechnology Co., Ltd, Shanghai, China.
Nucleic Acids Res. 2018 Jan 4;46(D1):D950-D955. doi: 10.1093/nar/gkx1008.
Metastasis is the main event leading to death in cancer patients. Over the past decade, high-throughput technologies have provided genome-wide view of transcriptomic changes associated with cancer metastases. Many microarray and RNA sequencing studies have addressed metastases-related expression patterns in various types of cancer, and the number of relevant works continues to increase rapidly. These works have characterized genes that orchestrate the metastatic phenotype of cancer cells. However, these expression data have been deposited in various repositories, and efficiently analyzing these data is still difficult because of the lack of an integrated data mining platform. To facilitate the in-depth analyses of transcriptome data on metastasis, it is quite important to make a comprehensive integration of these metastases-related expression data. Here, we presented a database, HCMDB (the human cancer metastasis database, http://hcmdb.i-sanger.com/index), which is freely accessible to the research community query cross-platform transcriptome data on metastases. HCMDB is developed and maintained as a useful resource for building the systems-biology understanding of metastasis.
转移是导致癌症患者死亡的主要事件。在过去的十年中,高通量技术为与癌症转移相关的转录组变化提供了全基因组的观察。许多微阵列和 RNA 测序研究已经解决了各种类型癌症中的转移相关表达模式问题,相关工作的数量仍在迅速增加。这些研究已经描述了协调癌细胞转移表型的基因。然而,这些表达数据已存储在各种存储库中,由于缺乏集成的数据挖掘平台,因此有效地分析这些数据仍然很困难。为了促进对转移转录组数据的深入分析,对这些转移相关表达数据进行全面整合是非常重要的。在这里,我们展示了一个数据库 HCMDB(人类癌症转移数据库,http://hcmdb.i-sanger.com/index),该数据库可供研究社区免费查询跨平台转移转录组数据。HCMDB 是作为构建转移系统生物学理解的有用资源而开发和维护的。