| URL: | http://cgga.org.cn/circRNADisease/ |
| Full name: | A high-quality experimentally suppotted circRNA and disease associations database |
| Description: | In current circRNADisease v2.0 database, more than 12,000 published literature were systematically reviewed, and manually curated and collected 6,998 entries involved in 4,246 circRNAs, 330 standard diseases from Disease Oncology and 12 species. In addition, we also identified 7,417,841 mutation-circRNAs among 30 TCGA human cancers. |
| Year founded: | 2018 |
| Last update: | 2023-10-28 |
| Version: | v2.0 |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Capital Medical University |
| Address: | Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China |
| City: | Beijing |
| Province/State: | |
| Country/Region: | China |
| Contact name (PI/Team): | Zheng Zhao |
| Contact email (PI/Helpdesk): | zhaozheng0503@ccmu.edu.cn |
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circRNADisease v2.0: an updated resource for high-quality experimentally supported circRNA-disease associations. [PMID: 37897359]
circRNADisease v2.0 is an enhanced and reliable database that offers experimentally verified relationships between circular RNAs (circRNAs) and various diseases. It is accessible at http://cgga.org.cn/circRNADisease/ or http://cgga.org.cn:9091/circRNADisease/. The database currently includes 6998 circRNA-disease entries across multiple species, representing a remarkable 19.77-fold increase compared to the previous version. This expansion consists of a substantial rise in the number of circRNAs (from 330 to 4246), types of diseases (from 48 to 330) and covered species (from human only to 12 species). Furthermore, a new section has been introduced in the database, which collects information on circRNA-associated factors (genes, proteins and microRNAs), molecular mechanisms (molecular pathways), biological functions (proliferation, migration, invasion, etc.), tumor and/or cell line and/or patient-derived xenograft (PDX) details, and prognostic evidence in diseases. In addition, we identified 7 159 865 relationships between mutations and circRNAs among 30 TCGA cancer types. Due to notable enhancements and extensive data expansions, the circRNADisease 2.0 database has become an invaluable asset for both clinical practice and fundamental research. It enables researchers to develop a more comprehensive understanding of how circRNAs impact complex diseases. |