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miRTarBase 2020: updates to the experimentally validated microRNA-target interaction database.
Huang, Hsi-Yuan; Lin, Yang-Chi-Dung; Li, Jing; Huang, Kai-Yao; Shrestha, Sirjana; Hong, Hsiao-Chin; Tang, Yun; Chen, Yi-Gang; Jin, Chen-Nan; Yu, Yuan; Xu, Jia-Tong; Li, Yue-Ming; Cai, Xiao-Xuan; Zhou, Zhen-Yu; Chen, Xiao-Hang; Pei, Yuan-Yuan; Hu, Liang; Su, Jin-Jiang; Cui, Shi-Dong; Wang, Fei; Xie, Yue-Yang; Ding, Si-Yuan; Luo, Meng-Fan; Chou, Chih-Hung; Chang, Nai-Wen; Chen, Kai-Wen; Cheng, Yu-Hsiang; Wan, Xin-Hong; Hsu, Wen-Lian; Lee, Tzong-Yi; Wei, Feng-Xiang; Huang, Hsien-Da.
Afiliación
  • Huang HY; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Lin YC; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Li J; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Huang KY; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Shrestha S; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Hong HC; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Tang Y; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Chen YG; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Jin CN; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 300, Taiwan.
  • Yu Y; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Xu JT; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Li YM; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Cai XX; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Zhou ZY; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Chen XH; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Pei YY; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Hu L; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Su JJ; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Cui SD; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Wang F; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Xie YY; The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong Province 518172, China.
  • Ding SY; The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong Province 518172, China.
  • Luo MF; The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong Province 518172, China.
  • Chou CH; The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong Province 518172, China.
  • Chang NW; Department of Cell Biology, Jiamusi University, Jiamusi, Heilongjiang Province 154007, China.
  • Chen KW; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Cheng YH; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Wan XH; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Hsu WL; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Lee TY; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Wei FX; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China.
  • Huang HD; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 300, Taiwan.
Nucleic Acids Res ; 48(D1): D148-D154, 2020 01 08.
Article en En | MEDLINE | ID: mdl-31647101
ABSTRACT
MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18-25 nucleotides) that negatively control expression of target genes at the post-transcriptional level. Owing to the biological significance of miRNAs, miRTarBase was developed to provide comprehensive information on experimentally validated miRNA-target interactions (MTIs). To date, the database has accumulated >13,404 validated MTIs from 11,021 articles from manual curations. In this update, a text-mining system was incorporated to enhance the recognition of MTI-related articles by adopting a scoring system. In addition, a variety of biological databases were integrated to provide information on the regulatory network of miRNAs and its expression in blood. Not only targets of miRNAs but also regulators of miRNAs are provided to users for investigating the up- and downstream regulations of miRNAs. Moreover, the number of MTIs with high-throughput experimental evidence increased remarkably (validated by CLIP-seq technology). In conclusion, these improvements promote the miRTarBase as one of the most comprehensively annotated and experimentally validated miRNA-target interaction databases. The updated version of miRTarBase is now available at http//miRTarBase.cuhk.edu.cn/.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bases de Datos de Ácidos Nucleicos / MicroARNs Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bases de Datos de Ácidos Nucleicos / MicroARNs Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: China