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Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs

Ribonomics experiments involving crosslinking and immuno-precipitation (CLIP) of Ago proteins have expanded the understanding of the miRNA targetome of several organisms. These techniques, collectively referred to as CLIP-seq, have been applied to identifying the mRNA targets of miRNAs expressed by...

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Autores principales: Sethuraman, Sunantha, Thomas, Merin, Gay, Lauren A, Renne, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144796/
https://www.ncbi.nlm.nih.gov/pubmed/29846699
http://dx.doi.org/10.1093/nar/gky459
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author Sethuraman, Sunantha
Thomas, Merin
Gay, Lauren A
Renne, Rolf
author_facet Sethuraman, Sunantha
Thomas, Merin
Gay, Lauren A
Renne, Rolf
author_sort Sethuraman, Sunantha
collection PubMed
description Ribonomics experiments involving crosslinking and immuno-precipitation (CLIP) of Ago proteins have expanded the understanding of the miRNA targetome of several organisms. These techniques, collectively referred to as CLIP-seq, have been applied to identifying the mRNA targets of miRNAs expressed by Kaposi’s Sarcoma-associated herpes virus (KSHV) and Epstein–Barr virus (EBV). However, these studies focused on identifying only those RNA targets of KSHV and EBV miRNAs that are known to encode proteins. Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are also targeted by miRNAs. In this study, we performed a systematic re-analysis of published datasets from KSHV- and EBV-driven cancers. We used CLIP-seq data from lymphoma cells or EBV-transformed B cells, and a crosslinking, ligation and sequencing of hybrids dataset from KSHV-infected endothelial cells, to identify novel lncRNA targets of viral miRNAs. Here, we catalog the lncRNA targetome of KSHV and EBV miRNAs, and provide a detailed in silico analysis of lncRNA–miRNA binding interactions. Viral miRNAs target several hundred lncRNAs, including a subset previously shown to be aberrantly expressed in human malignancies. In addition, we identified thousands of lncRNAs to be putative targets of human miRNAs, suggesting that miRNA–lncRNA interactions broadly contribute to the regulation of gene expression.
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spelling pubmed-61447962018-09-25 Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs Sethuraman, Sunantha Thomas, Merin Gay, Lauren A Renne, Rolf Nucleic Acids Res RNA and RNA-protein complexes Ribonomics experiments involving crosslinking and immuno-precipitation (CLIP) of Ago proteins have expanded the understanding of the miRNA targetome of several organisms. These techniques, collectively referred to as CLIP-seq, have been applied to identifying the mRNA targets of miRNAs expressed by Kaposi’s Sarcoma-associated herpes virus (KSHV) and Epstein–Barr virus (EBV). However, these studies focused on identifying only those RNA targets of KSHV and EBV miRNAs that are known to encode proteins. Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are also targeted by miRNAs. In this study, we performed a systematic re-analysis of published datasets from KSHV- and EBV-driven cancers. We used CLIP-seq data from lymphoma cells or EBV-transformed B cells, and a crosslinking, ligation and sequencing of hybrids dataset from KSHV-infected endothelial cells, to identify novel lncRNA targets of viral miRNAs. Here, we catalog the lncRNA targetome of KSHV and EBV miRNAs, and provide a detailed in silico analysis of lncRNA–miRNA binding interactions. Viral miRNAs target several hundred lncRNAs, including a subset previously shown to be aberrantly expressed in human malignancies. In addition, we identified thousands of lncRNAs to be putative targets of human miRNAs, suggesting that miRNA–lncRNA interactions broadly contribute to the regulation of gene expression. Oxford University Press 2018-09-19 2018-05-29 /pmc/articles/PMC6144796/ /pubmed/29846699 http://dx.doi.org/10.1093/nar/gky459 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle RNA and RNA-protein complexes
Sethuraman, Sunantha
Thomas, Merin
Gay, Lauren A
Renne, Rolf
Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs
title Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs
title_full Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs
title_fullStr Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs
title_full_unstemmed Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs
title_short Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs
title_sort computational analysis of ribonomics datasets identifies long non-coding rna targets of γ-herpesviral mirnas
topic RNA and RNA-protein complexes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6144796/
https://www.ncbi.nlm.nih.gov/pubmed/29846699
http://dx.doi.org/10.1093/nar/gky459
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