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miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.
Huang, Hsi-Yuan; Lin, Yang-Chi-Dung; Cui, Shidong; Huang, Yixian; Tang, Yun; Xu, Jiatong; Bao, Jiayang; Li, Yulin; Wen, Jia; Zuo, Huali; Wang, Weijuan; Li, Jing; Ni, Jie; Ruan, Yini; Li, Liping; Chen, Yidan; Xie, Yueyang; Zhu, Zihao; Cai, Xiaoxuan; Chen, Xinyi; Yao, Lantian; Chen, Yigang; Luo, Yijun; LuXu, Shupeng; Luo, Mengqi; Chiu, Chih-Min; Ma, Kun; Zhu, Lizhe; Cheng, Gui-Juan; Bai, Chen; Chiang, Ying-Chih; Wang, Liping; Wei, Fengxiang; Lee, Tzong-Yi; Huang, Hsien-Da.
Afiliação
  • Huang HY; The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong518172, China.
  • Lin YC; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Cui S; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Huang Y; The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong518172, China.
  • Tang Y; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Xu J; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Bao J; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Li Y; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Wen J; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Zuo H; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Wang W; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Li J; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Ni J; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Ruan Y; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Li L; Division of Biological Sciences, Section of Bioinformatics, University of California, San Diego, San Diego, CA 92093, USA.
  • Chen Y; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Xie Y; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Zhu Z; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Cai X; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Chen X; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Yao L; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Chen Y; School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China.
  • Luo Y; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • LuXu S; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Luo M; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Chiu CM; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Ma K; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Zhu L; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Cheng GJ; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Bai C; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Chiang YC; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Wang L; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Wei F; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Lee TY; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
  • Huang HD; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.
Nucleic Acids Res ; 50(D1): D222-D230, 2022 01 07.
Article em En | MEDLINE | ID: mdl-34850920
ABSTRACT
MicroRNAs (miRNAs) are noncoding RNAs with 18-26 nucleotides; they pair with target mRNAs to regulate gene expression and produce significant changes in various physiological and pathological processes. In recent years, the interaction between miRNAs and their target genes has become one of the mainstream directions for drug development. As a large-scale biological database that mainly provides miRNA-target interactions (MTIs) verified by biological experiments, miRTarBase has undergone five revisions and enhancements. The database has accumulated >2 200 449 verified MTIs from 13 389 manually curated articles and CLIP-seq data. An optimized scoring system is adopted to enhance this update's critical recognition of MTI-related articles and corresponding disease information. In addition, single-nucleotide polymorphisms and disease-related variants related to the binding efficiency of miRNA and target were characterized in miRNAs and gene 3' untranslated regions. miRNA expression profiles across extracellular vesicles, blood and different tissues, including exosomal miRNAs and tissue-specific miRNAs, were integrated to explore miRNA functions and biomarkers. For the user interface, we have classified attributes, including RNA expression, specific interaction, protein expression and biological function, for various validation experiments related to the role of miRNA. We also used seed sequence information to evaluate the binding sites of miRNA. In summary, these enhancements render miRTarBase as one of the most research-amicable MTI databases that contain comprehensive and experimentally verified annotations. The newly updated version of miRTarBase is now available at https//miRTarBase.cuhk.edu.cn/.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regiões 3' não Traduzidas / RNA não Traduzido / Bases de Dados de Ácidos Nucleicos / MicroRNAs / Redes Reguladoras de Genes / Neoplasias Limite: Animals / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regiões 3' não Traduzidas / RNA não Traduzido / Bases de Dados de Ácidos Nucleicos / MicroRNAs / Redes Reguladoras de Genes / Neoplasias Limite: Animals / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article