Accurate and Efficient Mapping of the Cross-Linked microRNA-mRNA Duplex Reads

Summary: MicroRNA (miRNA) trans-regulates the stability of many mRNAs and controls their expression levels. Reconstruction of the miRNA-mRNA interactome is key to the understanding of the miRNA regulatory network and related biological processes. However, existing miRNA target prediction methods are...

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Main Authors: Cuncong Zhong, Shaojie Zhang
Format: Article
Language:English
Published: Elsevier 2019-08-01
Series:iScience
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004219301750
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spelling doaj-d5fe7dff225047cc84923c78b5649bb92020-11-24T21:22:11ZengElsevieriScience2589-00422019-08-01181119Accurate and Efficient Mapping of the Cross-Linked microRNA-mRNA Duplex ReadsCuncong Zhong0Shaojie Zhang1Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS 66045, USA; Corresponding authorDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USASummary: MicroRNA (miRNA) trans-regulates the stability of many mRNAs and controls their expression levels. Reconstruction of the miRNA-mRNA interactome is key to the understanding of the miRNA regulatory network and related biological processes. However, existing miRNA target prediction methods are limited to canonical miRNA-mRNA interactions and have high false prediction rates. Other experimental methods are low throughput and cannot be used to probe genome-wide interactions. To address this challenge, the Cross-linking Ligation and Sequencing of Hybrids (CLASH) technology was developed for high-throughput probing of transcriptome-wide microRNA-mRNA interactions in vivo. The mapping of duplex reads, chimeras of two ultra-short RNA strands, poses computational challenges to current mapping and alignment methods. To address this issue, we developed CLAN (CrossLinked reads ANalysis toolkit). CLAN generated a comparable mapping of singular reads to other tools, and significantly outperformed in mapping simulated and real CLASH duplex reads, offering a potential application to other next-generation sequencing-based duplex-read-generating technologies. : Biological Sciences; Bioinformatics; Genomic Analysis; Computer Science; Algorithms Subject Areas: Biological Sciences, Bioinformatics, Genomic Analysis, Computer Science, Algorithmshttp://www.sciencedirect.com/science/article/pii/S2589004219301750
collection DOAJ
language English
format Article
sources DOAJ
author Cuncong Zhong
Shaojie Zhang
spellingShingle Cuncong Zhong
Shaojie Zhang
Accurate and Efficient Mapping of the Cross-Linked microRNA-mRNA Duplex Reads
iScience
author_facet Cuncong Zhong
Shaojie Zhang
author_sort Cuncong Zhong
title Accurate and Efficient Mapping of the Cross-Linked microRNA-mRNA Duplex Reads
title_short Accurate and Efficient Mapping of the Cross-Linked microRNA-mRNA Duplex Reads
title_full Accurate and Efficient Mapping of the Cross-Linked microRNA-mRNA Duplex Reads
title_fullStr Accurate and Efficient Mapping of the Cross-Linked microRNA-mRNA Duplex Reads
title_full_unstemmed Accurate and Efficient Mapping of the Cross-Linked microRNA-mRNA Duplex Reads
title_sort accurate and efficient mapping of the cross-linked microrna-mrna duplex reads
publisher Elsevier
series iScience
issn 2589-0042
publishDate 2019-08-01
description Summary: MicroRNA (miRNA) trans-regulates the stability of many mRNAs and controls their expression levels. Reconstruction of the miRNA-mRNA interactome is key to the understanding of the miRNA regulatory network and related biological processes. However, existing miRNA target prediction methods are limited to canonical miRNA-mRNA interactions and have high false prediction rates. Other experimental methods are low throughput and cannot be used to probe genome-wide interactions. To address this challenge, the Cross-linking Ligation and Sequencing of Hybrids (CLASH) technology was developed for high-throughput probing of transcriptome-wide microRNA-mRNA interactions in vivo. The mapping of duplex reads, chimeras of two ultra-short RNA strands, poses computational challenges to current mapping and alignment methods. To address this issue, we developed CLAN (CrossLinked reads ANalysis toolkit). CLAN generated a comparable mapping of singular reads to other tools, and significantly outperformed in mapping simulated and real CLASH duplex reads, offering a potential application to other next-generation sequencing-based duplex-read-generating technologies. : Biological Sciences; Bioinformatics; Genomic Analysis; Computer Science; Algorithms Subject Areas: Biological Sciences, Bioinformatics, Genomic Analysis, Computer Science, Algorithms
url http://www.sciencedirect.com/science/article/pii/S2589004219301750
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