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 -