ERVcancer: a web resource designed for querying activation of human endogenous retroviruses across major cancer types

内源性逆转录病毒 内生 资源(消歧) 癌症 计算机科学 万维网 计算生物学 业务 生物 遗传学 生物化学 基因 计算机网络 基因组
作者
Xianfu Lei,Song Mao,Yinshuang Li,Shi Huang,Jinchen Li,Wei Du,Chunmei Kuang,Kai Yuan
出处
期刊:Journal of Genetics and Genomics [Elsevier BV]
标识
DOI:10.1016/j.jgg.2024.09.004
摘要

Human endogenous retroviruses (HERVs) comprise approximately 8% of the human genome, co-opted into the dynamic regulatory network of cellular potency in early embryonic development. In recent studies, resurgent HERVs' transcriptional activity has been frequently observed in many types of human cancers, suggesting their potential functions in the occurrence and progression of malignancy. However, a dedicated web resource for querying the relationship between activation of HERVs and cancer development is lacking. Here, we have constructed a database to explore the sequence information, expression profiles, survival prognosis, and genetic interactions of HERVs in diverse cancer types. Our database currently contains RNA sequencing data of 580 HERVs across 16246 samples, including that of 6478 tumoral and 634 normal tissues, 932 cancer cell lines, as well as 151 early embryonic and 8051 human adult tissues. The primary goal is to provide an easily accessible and user-friendly database for professionals in the fields of bioinformatics, pathology, pharmacology, and related areas, enabling them to efficiently screen the activity of HERVs of interest in normal and cancerous tissues and evaluate the clinical relevance. The ERVcancer database is available at http://kyuanlab.com/ervcancer/.
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