miRTarBase: a database curates experimentally validated microRNA–target interactions

Clicks: 1
ID: 294850
2010
Free PDF
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 #1,027 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
Sign in to mint
Abstract
MicroRNAs (miRNAs), i.e. small non-coding RNA molecules (∼22 nt), can bind to one or more target sites on a gene transcript to negatively regulate protein expression, subsequently controlling many cellular mechanisms. A current and curated collection of miRNA–target interactions (MTIs) with experimental support is essential to thoroughly elucidating miRNA functions under different conditions and in different species. As a database, miRTarBase has accumulated more than 3500 MTIs by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assays, western blot, or microarray experiments with overexpression or knockdown of miRNAs. miRTarBase curates 3576 experimentally verified MTIs between 657 miRNAs and 2297 target genes among 17 species. miRTarBase contains the largest amount of validated MTIs by comparing with other similar, previously developed databases. The MTIs collected in the miRTarBase can also provide a large amount of positive samples to develop computational methods capable of identifying miRNA–target interactions. miRTarBase is now available on http://miRTarBase.mbc.nctu.edu.tw/ , and is updated frequently by continuously surveying research articles.
Reference Key
openalex_W2053835153 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sheng‐Da Hsu, Feng‐Mao Lin, Weiyun Wu, Chao Liang, Wei‐Chih Huang, Wen‐Ling Chan, Wen-Ting Tsai, Goun-Zhou Chen, Chia‐Jung Lee, Chih-Min Chiu, Chia-Hung Chien, Ming-Chia Wu, Chi‐Ying F. Huang, Ann‐Ping Tsou, Hsien‐Da Huang
Journal Nucleic Acids Research
Year 2010
DOI
10.1093/nar/gkq1107
URL
https://academic.oup.com/nar/article-pdf/39/suppl_1/D163/18785913/gkq1107.pdf
Keywords Keywords not found

Citations

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

Comments

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