miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions

نویسندگان

  • Chih-Hung Chou
  • Sirjana Shrestha
  • Chi-Dung Yang
  • Nai-Wen Chang
  • Yu-Ling Lin
  • Kuang-Wen Liao
  • Wei-Chih Huang
  • Ting-Hsuan Sun
  • Siang-Jyun Tu
  • Wei-Hsiang Lee
  • Men-Yee Chiew
  • Chun-San Tai
  • Ting-Yen Wei
  • Tzi-Ren Tsai
  • Hsin-Tzu Huang
  • Chung-Yu Wang
  • Hsin-Yi Wu
  • Shu-Yi Ho
  • Pin-Rong Chen
  • Cheng-Hsun Chuang
  • Pei-Jung Hsieh
  • Yi-Shin Wu
  • Wen-Liang Chen
  • Meng-Ju Li
  • Yu-chun Wu
  • Xin-Yi Huang
  • Fung Ling Ng
  • Waradee Buddhakosai
  • Pei-Chun Huang
  • Kuan-Chun Lan
  • Chia-Yen Huang
  • Shun-Long Weng
  • Yeong-Nan Cheng
  • Chao Liang
  • Wen-Lian Hsu
  • Hsien-Da Huang
چکیده

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/.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

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

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 s...

متن کامل

miRTarBase: a database curates experimentally validated microRNA–target interactions

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 an...

متن کامل

miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions

MicroRNAs (miRNAs) are small non-coding RNA molecules capable of negatively regulating gene expression to control many cellular mechanisms. The miRTarBase database (http://mirtarbase.mbc.nctu.edu.tw/) provides the most current and comprehensive information of experimentally validated miRNA-target interactions. The database was launched in 2010 with data sources for >100 published studies in the...

متن کامل

miRecords: an integrated resource for microRNA–target interactions

MicroRNAs (miRNAs) are an important class of small noncoding RNAs capable of regulating other genes' expression. Much progress has been made in computational target prediction of miRNAs in recent years. More than 10 miRNA target prediction programs have been established, yet, the prediction of animal miRNA targets remains a challenging task. We have developed miRecords, an integrated resource f...

متن کامل

mirIntegrator: Integrating miRNAs into signaling pathways

mirIntegrator is an R package for integrating microRNAs (miRNAs) into signaling pathways to perform pathway analysis using both mRNA and miRNA expressions. Typical pathway analysis methods help to investigate which pathways are relevant to a particular phenotype understudy. The input of these methods are the fold change of mRNA of two different phenotypes (e.g. control versus disease), and a se...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 46  شماره 

صفحات  -

تاریخ انتشار 2018