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circRNADisease v2.0: an updated resource for high-quality experimentally supported circRNA-disease associations.
Sun, Zhi-Yan; Yang, Chang-Lin; Huang, Li-Jie; Mo, Zong-Chao; Zhang, Ke-Nan; Fan, Wen-Hua; Wang, Kuan-Yu; Wu, Fan; Wang, Ji-Guang; Meng, Fan-Lin; Zhao, Zheng; Jiang, Tao.
  • Sun ZY; Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Yang CL; Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
  • Huang LJ; Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Mo ZC; Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Zhang KN; SIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen 518045, China.
  • Fan WH; 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.
  • Wang KY; Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Wu F; Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Wang JG; Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
  • Meng FL; Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Zhao Z; Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
  • Jiang T; Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Nucleic Acids Res ; 52(D1): D1193-D1200, 2024 Jan 05.
Article en En | MEDLINE | ID: mdl-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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Bases de Datos Genéticas / ARN Circular / Neoplasias Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Bases de Datos Genéticas / ARN Circular / Neoplasias Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article