miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database

Clicks: 1
ID: 291253
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #939 of 1,216 articles by views in Nucleic Acids Research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,216 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides, which negatively regulate the gene expression at the post-transcriptional level. This study describes an update of the miRTarBase (http://miRTarBase.mbc.nctu.edu.tw/) that provides information about experimentally validated miRNA-target interactions (MTIs). The latest update of the miRTarBase expanded it to identify systematically Argonaute-miRNA-RNA interactions from 138 crosslinking and immunoprecipitation sequencing (CLIP-seq) data sets that were generated by 21 independent studies. The database contains 4966 articles, 7439 strongly validated MTIs (using reporter assays or western blots) and 348 007 MTIs from CLIP-seq. The number of MTIs in the miRTarBase has increased around 7-fold since the 2014 miRTarBase update. The miRNA and gene expression profiles from The Cancer Genome Atlas (TCGA) are integrated to provide an effective overview of this exponential growth in the miRNA experimental data. These improvements make the miRTarBase one of the more comprehensively annotated, experimentally validated miRNA-target interactions databases and motivate additional miRNA research efforts.
Reference Key
openalex_W2174734928 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chih‐Hung Chou, Nai-Wen Chang, Sirjana Shrestha, Sheng‐Da Hsu, Yu‐Ling Lin, Wei-Hsiang Lee, Chi-Dung Yang, Hsiao-Chin Hong, Ting-Yen Wei, Siang-Jyun Tu, Tzi-Ren Tsai, Shu-Yi Ho, Ting-Yan Jian, Hsin-Yi Wu, Pin-Rong Chen, Nai-Chieh Lin, Hsin-Tzu Huang, Tzu-Ling Yang, Chung-Yuan Pai, Chun-San Tai, Wenliang Chen, Chia‐Yen Huang, Chun-Chi Liu, Shun-Long Weng, Kuang‐Wen Liao, Wen-Lian Hsu, Hsien‐Da Huang
Journal Nucleic Acids Research
Year 2015
DOI
10.1093/nar/gkv1258
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.