a catalog of biological databases
|Description:||ANGIOGENES is a tool to explore and compare the expression profiles of transcripts in endothelial cells.|
|University/Institution:||University of Louisville|
|Address:||Cardiovascular Innovation Institute University of Louisville 302 E Muhammad Ali Blvd Louisville, KY 40202, United States|
|Contact name (PI/Team):||Shizuka Uchida|
|Contact email (PI/Helpdesk):||firstname.lastname@example.org|
ANGIOGENES: knowledge database for protein-coding and noncoding RNA genes in endothelial cells. [PMID: 27582018]
Increasing evidence indicates the presence of long noncoding RNAs (lncRNAs) is specific to various cell types. Although lncRNAs are speculated to be more numerous than protein-coding genes, the annotations of lncRNAs remain primitive due to the lack of well-structured schemes for their identification and description. Here, we introduce a new knowledge database "ANGIOGENES" (http://angiogenes.uni-frankfurt.de) to allow for in silico screening of protein-coding genes and lncRNAs expressed in various types of endothelial cells, which are present in all tissues. Using the latest annotations of protein-coding genes and lncRNAs, publicly-available RNA-seq data was analyzed to identify transcripts that are expressed in endothelial cells of human, mouse and zebrafish. The analyzed data were incorporated into ANGIOGENES to provide a one-stop-shop for transcriptomics data to facilitate further biological validation. ANGIOGENES is an intuitive and easy-to-use database to allow in silico screening of expressed, enriched and/or specific endothelial transcripts under various conditions. We anticipate that ANGIOGENES serves as a starting point for functional studies to elucidate the roles of protein-coding genes and lncRNAs in angiogenesis.