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Updated: Oct 29, 2025

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
Published on: January 21, 2020
Computational Identification of ceRNA and Reconstruction of ceRNA Regulatory Network Based on RNA-seq and Small
Xiangyuan Wan1,2, Ziwen Li3,4
1Zhongzhi International Institute of Agricultural Biosciences, Biology and Agriculture Research Center, University of Science and Technology Beijing, Beijing, China. wanxiangyuan@ustb.edu.cn.
Abstract:
Competing endogenous RNAs (ceRNAs) are transcripts with the ability to competitively titrate microRNAs (miRNAs) against miRNA repressing target genes to post-transcriptionally regulate the expression of corresponding miRNAs. It is a newly discovered gene regulation pattern between longer RNA and miRNA molecules. Recent research has gradually revealed the functional significance of ceRNAs in regulating normal development and stress response processes in plants and animals, as well as in cancer genesis and metastasis. Therefore, ceRNA identification is an important and necessary step to deepen our understanding of the regulation mechanisms of various biological processes. Here, we provide a pipeline used to computationally identify plant ceRNAs and reconstruct ceRNA regulatory networks based on RNA-seq and small RNA-seq data.
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