Literature DB >> 34195964

Methods for Predicting CircRNA-miRNA-mRNA Regulatory Networks: GreenCircRNA and PlantCircNet Databases as Study Cases.

Nureyev F Rodrigues1,2, Rogerio Margis3,4,5.   

Abstract

Circular RNAs are molecules formed by 3'-5' ligation in a splicing reaction, the so-called backsplicing. Well described in other groups, especially in humans, circRNA studies that include prediction and validation in plants are recent. It has already been shown that circRNAs can interact with microRNAs, acting as sponges, and adding a new layer of complexity in regulating eukaryotic transcription. Here, we cover two up-to-date databases that allow the users to perform analyses of the circRNA-miRNA-mRNA interactions in plants. We choose two databases to demonstrate their functions and compare their approaches to obtain a more robust and reliable interaction network.

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Keywords:  Circular RNA; Databases; In silico prediction; Interaction network; miRNA sponge

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Year:  2021        PMID: 34195964     DOI: 10.1007/978-1-0716-1645-1_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Functional prediction and profiling of exosomal circRNAs derived from seminal plasma for the diagnosis and treatment of oligoasthenospermia.

Authors:  Dezhi Yue; Ruipeng Yang; Chengliang Xiong; Ruifeng Yang
Journal:  Exp Ther Med       Date:  2022-09-02       Impact factor: 2.751

  1 in total

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