Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: https://awi.cuhk.edu.cn/~CircNet/php/index.php
Full name: circular RNA regulatory networks in cancers
Description: CircNet is a database for circular RNAs. In version 2, 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 CircNet.
Year founded: 2016
Last update: 2022
Version: v2.0
Accessibility:
Manual:
Accessible
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Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: The Chinese University of Hong Kong, Shenzhen
Address: School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China
City: Shenzhen
Province/State:
Country/Region: China
Contact name (PI/Team): Hsien-Da Huang
Contact email (PI/Helpdesk): huanghsienda@cuhk.edu.cn

Publications

34850139
CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers. [PMID: 34850139]
Chen Y, Yao L, Tang Y, Jhong JH, Wan J, Chang J, Cui S, Luo Y, Cai X, Li W, Chen Q, Huang HY, Wang Z, Chen W, Chang TH, Wei F, Lee TY, Huang HD.

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.

Nucleic Acids Res. 2022:50(D1) | 28 Citations (from Europe PMC, 2024-10-26)
26450965
CircNet: a database of circular RNAs derived from transcriptome sequencing data. [PMID: 26450965]
Liu YC, Li JR, Sun CH, Andrews E, Chao RF, Lin FM, Weng SL, Hsu SD, Huang CC, Cheng C, Liu CC, Huang HD.

Circular RNAs (circRNAs) represent a new type of regulatory noncoding RNA that only recently has been identified and cataloged. Emerging evidence indicates that circRNAs exert a new layer of post-transcriptional regulation of gene expression. In this study, we utilized transcriptome sequencing datasets to systematically identify the expression of circRNAs (including known and newly identified ones by our pipeline) in 464 RNA-seq samples, and then constructed the CircNet database (http://circnet.mbc.nctu.edu.tw/) that provides the following resources: (i) novel circRNAs, (ii) integrated miRNA-target networks, (iii) expression profiles of circRNA isoforms, (iv) genomic annotations of circRNA isoforms (e.g. 282 948 exon positions), and (v) sequences of circRNA isoforms. The CircNet database is to our knowledge the first public database that provides tissue-specific circRNA expression profiles and circRNA-miRNA-gene regulatory networks. It not only extends the most up to date catalog of circRNAs but also provides a thorough expression analysis of both previously reported and novel circRNAs. Furthermore, it generates an integrated regulatory network that illustrates the regulation between circRNAs, miRNAs and genes. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 213 Citations (from Europe PMC, 2024-10-26)

Ranking

All databases:
398/6265 (93.663%)
Interaction:
64/1051 (94.006%)
Gene genome and annotation:
144/1780 (91.966%)
Health and medicine:
95/1496 (93.717%)
398
Total Rank
238
Citations
29.75
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Record metadata

Created on: 2016-01-16
Curated by:
Lina Ma [2023-03-06]
Lina Ma [2022-04-26]
Mengwei Li [2016-03-31]