TY - JOUR AU - Uchida, Shizuka AB - 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. TI - ANGIOGENES: knowledge database for protein-coding and noncoding RNA genes in endothelial cells JF - Scientific Reports DO - 10.1038/srep32475 DA - 2016-09-01 UR - https://www.deepdyve.com/lp/springer-journals/angiogenes-knowledge-database-for-protein-coding-and-noncoding-rna-J15spKf6xd SP - 1 EP - 8 VL - 6 IS - 1 DP - DeepDyve ER -