Literature DB >> 24632500

comTAR: a web tool for the prediction and characterization of conserved microRNA targets in plants.

Uciel Chorostecki1, Javier F Palatnik1.   

Abstract

MOTIVATION: MicroRNAs (miRNAs) are major regulators of gene expression in plants and animals. They recognize their target messenger RNAs (mRNAs) by sequence complementarity and guide them to cleavage or translational arrest. So far, the prediction of plant miRNA-target pairs generally relies on the use of empirical parameters deduced from known miRNA-target interactions.
RESULTS: We developed comTAR, a web tool for the prediction of miRNA targets that is mainly based on the conservation of the potential regulation in different species. We used data generated from a pipeline applied to transcript datasets of 33 angiosperms that was used to build a database of potential miRNA targets of different plant species. The database contains information describing each miRNA-target pair, their function and evolutionary conservation, while the results are displayed in a user-friendly interface. The tool also allows the search using new miRNAs.
AVAILABILITY AND IMPLEMENTATION: The Web site is free to all users, with no login requirements, at http://rnabiology.ibr-conicet.gov.ar/comtar.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24632500     DOI: 10.1093/bioinformatics/btu147

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  Up-regulation of microRNA targets correlates with symptom severity in Citrus sinensis plants infected with two different isolates of citrus psorosis virus.

Authors:  Facundo E Marmisolle; Ailín Arizmendi; Andrés Ribone; Máximo Rivarola; María L García; Carina A Reyes
Journal:  Planta       Date:  2019-11-27       Impact factor: 4.116

2.  TarHunter, a tool for predicting conserved microRNA targets and target mimics in plants.

Authors:  Xuan Ma; Chunyan Liu; Lianfeng Gu; Beixin Mo; Xiaofeng Cao; Xuemei Chen
Journal:  Bioinformatics       Date:  2018-05-01       Impact factor: 6.937

3.  MicroRNA Databases and Tools.

Authors:  Tharcísio Soares de Amorim; Daniel Longhi Fernandes Pedro; Alexandre Rossi Paschoal
Journal:  Methods Mol Biol       Date:  2022

Review 4.  MicroRNA Targeting.

Authors:  Hossein Ghanbarian; Mehmet Taha Yıldız; Yusuf Tutar
Journal:  Methods Mol Biol       Date:  2022

5.  TarDB: an online database for plant miRNA targets and miRNA-triggered phased siRNAs.

Authors:  Jing Liu; Xiaonan Liu; Siju Zhang; Shanshan Liang; Weijiang Luan; Xuan Ma
Journal:  BMC Genomics       Date:  2021-05-13       Impact factor: 3.969

Review 6.  Computational Methods for MicroRNA Target Prediction.

Authors:  Semih Ekimler; Kaniye Sahin
Journal:  Genes (Basel)       Date:  2014-08-22       Impact factor: 4.096

Review 7.  A comprehensive review of web-based resources of non-coding RNAs for plant science research.

Authors:  Peiran Liao; Shipeng Li; Xiuming Cui; Yun Zheng
Journal:  Int J Biol Sci       Date:  2018-05-22       Impact factor: 6.580

Review 8.  The Multiverse of Plant Small RNAs: How Can We Explore It?

Authors:  Zdravka Ivanova; Georgi Minkov; Andreas Gisel; Galina Yahubyan; Ivan Minkov; Valentina Toneva; Vesselin Baev
Journal:  Int J Mol Sci       Date:  2022-04-02       Impact factor: 5.923

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.