TY - JOUR
T1 - CircNet 2.0
T2 - An updated database for exploring circular RNA regulatory networks in cancers
AU - Chen, Yigang
AU - Yao, Lantian
AU - Tang, Yun
AU - Jhong, Jhih Hua
AU - Wan, Jingting
AU - Chang, Jingyue
AU - Cui, Shidong
AU - Luo, Yijun
AU - Cai, Xiaoxuan
AU - Li, Wenshuo
AU - Chen, Qi
AU - Huang, Hsi Yuan
AU - Wang, Zhuo
AU - Chen, Weiming
AU - Chang, Tzu Hao
AU - Wei, Fengxiang
AU - Lee, Tzong Yi
AU - Huang, Hsien Da
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of Nucleic Acids Research.
PY - 2022/1/7
Y1 - 2022/1/7
N2 - Circular RNAs (circRNAs), which are single-stranded RNA molecules that have individually formed into a covalently closed continuous loop, act as sponges of microRNAs to regulate transcription and translation. CircRNAs are important molecules in the field of cancer diagnosis, as growing evidence suggests that they are closely related to pathological cancer features. Therefore, they have high potential for clinical use as novel cancer biomarkers. In this article, we present our updates to CircNet (version 2.0), into which circRNAs from circAtlas and MiOncoCirc, and novel circRNAs from The Cancer Genome Atlas database have been integrated. In total, 2732 samples from 37 types of cancers were integrated into CircNet 2.0 and analyzed using several of the most reliable circRNA detection algorithms. Furthermore, target miRNAs were predicted from the full-length circRNA sequence using three reliable tools (PITA, miRanda and TargetScan). Additionally, 384 897 experimentally verified miRNA-target interactions from miRTarBase were integrated into our database to facilitate the construction of high-quality circRNA-miRNA-gene regulatory networks. These improvements, along with the user-friendly interactive web interface for data presentation, search, and visualization, showcase the updated CircNet database as a powerful, experimentally validated resource, for providing strong data support in the biomedical fields. CircNet 2.0 is currently accessible at https://awi.cuhk.edu.cn/∼CircNet.
AB - Circular RNAs (circRNAs), which are single-stranded RNA molecules that have individually formed into a covalently closed continuous loop, act as sponges of microRNAs to regulate transcription and translation. CircRNAs are important molecules in the field of cancer diagnosis, as growing evidence suggests that they are closely related to pathological cancer features. Therefore, they have high potential for clinical use as novel cancer biomarkers. In this article, we present our updates to CircNet (version 2.0), into which circRNAs from circAtlas and MiOncoCirc, and novel circRNAs from The Cancer Genome Atlas database have been integrated. In total, 2732 samples from 37 types of cancers were integrated into CircNet 2.0 and analyzed using several of the most reliable circRNA detection algorithms. Furthermore, target miRNAs were predicted from the full-length circRNA sequence using three reliable tools (PITA, miRanda and TargetScan). Additionally, 384 897 experimentally verified miRNA-target interactions from miRTarBase were integrated into our database to facilitate the construction of high-quality circRNA-miRNA-gene regulatory networks. These improvements, along with the user-friendly interactive web interface for data presentation, search, and visualization, showcase the updated CircNet database as a powerful, experimentally validated resource, for providing strong data support in the biomedical fields. CircNet 2.0 is currently accessible at https://awi.cuhk.edu.cn/∼CircNet.
UR - https://www.scopus.com/pages/publications/85123388911
U2 - 10.1093/nar/gkab1036
DO - 10.1093/nar/gkab1036
M3 - Article
C2 - 34850139
AN - SCOPUS:85123388911
SN - 0305-1048
VL - 50
SP - D93-D101
JO - Nucleic acids research
JF - Nucleic acids research
IS - D1
ER -
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