| Literature DB >> 29126174 |
Chih-Hung Chou1,2, Sirjana Shrestha2, Chi-Dung Yang2,3, Nai-Wen Chang4, Yu-Ling Lin2,5, Kuang-Wen Liao2,6, Wei-Chi Huang1,2, Ting-Hsuan Sun2, Siang-Jyun Tu1, Wei-Hsiang Lee2,7, Men-Yee Chiew2, Chun-San Tai2, Ting-Yen Wei8, Tzi-Ren Tsai2, Hsin-Tzu Huang2, Chung-Yu Wang6, Hsin-Yi Wu6, Shu-Yi Ho2, Pin-Rong Chen6, Cheng-Hsun Chuang6, Pei-Jung Hsieh2, Yi-Shin Wu2, Wen-Liang Chen2, Meng-Ju Li2,9, Yu-Chun Wu2, Xin-Yi Huang2, Fung Ling Ng2, Waradee Buddhakosai2, Pei-Chun Huang10, Kuan-Chun Lan6, Chia-Yen Huang2,11, Shun-Long Weng12,13,14, Yeong-Nan Cheng1, Chao Liang1, Wen-Lian Hsu15, Hsien-Da Huang1,2,16,17.
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs of ∼ 22 nucleotides that are involved in negative regulation of mRNA at the post-transcriptional level. Previously, we developed miRTarBase which provides information about experimentally validated miRNA-target interactions (MTIs). Here, we describe an updated database containing 422 517 curated MTIs from 4076 miRNAs and 23 054 target genes collected from over 8500 articles. The number of MTIs curated by strong evidence has increased ∼1.4-fold since the last update in 2016. In this updated version, target sites validated by reporter assay that are available in the literature can be downloaded. The target site sequence can extract new features for analysis via a machine learning approach which can help to evaluate the performance of miRNA-target prediction tools. Furthermore, different ways of browsing enhance user browsing specific MTIs. With these improvements, miRTarBase serves as more comprehensively annotated, experimentally validated miRNA-target interactions databases in the field of miRNA related research. miRTarBase is available at http://miRTarBase.mbc.nctu.edu.tw/.Entities:
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Year: 2018 PMID： 29126174 PMCID： PMC5753222 DOI： 10.1093/nar/gkx1067
Source DB: PubMed Journal: Nucleic Acids Res ISSN： 0305-1048 Impact factor: 16.971