circRNADisease v2.0: an updated resource for high-quality experimentally supported circRNA-disease associations

Author:

Sun Zhi-Yan12,Yang Chang-Lin1,Huang Li-Jie1,Mo Zong-Chao34,Zhang Ke-Nan1,Fan Wen-Hua12,Wang Kuan-Yu12,Wu Fan1,Wang Ji-Guang34ORCID,Meng Fan-Lin56,Zhao Zheng134ORCID,Jiang Tao12ORCID

Affiliation:

1. Beijing Neurosurgical Institute, Capital Medical University , Beijing  100070 , China

2. Beijing Tiantan Hospital, Capital Medical University , Beijing  100070 , China

3. SIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute , Shenzhen 518045 , China

4. Division of Life Science, Department of Chemical and Biological Engineering, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology , Hong Kong SAR, China

5. Marketing and Management Department, CapitalBio Technology , Beijing  101111 , China

6. National Engineering Research Center for Beijing Biochip Technology , Beijing  102206 , China

Abstract

Abstract 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.

Funder

National Natural Science Foundation of China

Joint Funding Scheme

Beijing Hospitals Authority Youth Programme

Beijing Municipal Health Commission Fund

Hong Kong Research Grants Council

Hong Kong Innovation and Technology Commission

Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone

Publisher

Oxford University Press (OUP)

Subject

Genetics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3