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PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing
Small RNAs (sRNAs) are a class of short (20–25 nt) non-coding RNAs that play important regulatory roles in gene expression. An essential first step in understanding their function is to confidently identify sRNA targets. In plants, several classes of sRNAs such as microRNAs (miRNAs) and trans-acting...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3401462/ https://www.ncbi.nlm.nih.gov/pubmed/22467211 http://dx.doi.org/10.1093/nar/gks277 |
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author | Folkes, Leighton Moxon, Simon Woolfenden, Hugh C. Stocks, Matthew B. Szittya, Gyorgy Dalmay, Tamas Moulton, Vincent |
author_facet | Folkes, Leighton Moxon, Simon Woolfenden, Hugh C. Stocks, Matthew B. Szittya, Gyorgy Dalmay, Tamas Moulton, Vincent |
author_sort | Folkes, Leighton |
collection | PubMed |
description | Small RNAs (sRNAs) are a class of short (20–25 nt) non-coding RNAs that play important regulatory roles in gene expression. An essential first step in understanding their function is to confidently identify sRNA targets. In plants, several classes of sRNAs such as microRNAs (miRNAs) and trans-acting small interfering RNAs have been shown to bind with near-perfect complementarity to their messenger RNA (mRNA) targets, generally leading to cleavage of the mRNA. Recently, a high-throughput technique known as Parallel Analysis of RNA Ends (PARE) has made it possible to sequence mRNA cleavage products on a large-scale. Computational methods now exist to use these data to find targets of conserved and newly identified miRNAs. Due to speed limitations such methods rely on the user knowing which sRNA sequences are likely to target a transcript. By limiting the search to a tiny subset of sRNAs it is likely that many other sRNA/mRNA interactions will be missed. Here, we describe a new software tool called PAREsnip that allows users to search for potential targets of all sRNAs obtained from high-throughput sequencing experiments. By searching for targets of a complete ‘sRNAome’ we can facilitate large-scale identification of sRNA targets, allowing us to discover regulatory interaction networks. |
format | Online Article Text |
id | pubmed-3401462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34014622012-07-23 PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing Folkes, Leighton Moxon, Simon Woolfenden, Hugh C. Stocks, Matthew B. Szittya, Gyorgy Dalmay, Tamas Moulton, Vincent Nucleic Acids Res Methods Online Small RNAs (sRNAs) are a class of short (20–25 nt) non-coding RNAs that play important regulatory roles in gene expression. An essential first step in understanding their function is to confidently identify sRNA targets. In plants, several classes of sRNAs such as microRNAs (miRNAs) and trans-acting small interfering RNAs have been shown to bind with near-perfect complementarity to their messenger RNA (mRNA) targets, generally leading to cleavage of the mRNA. Recently, a high-throughput technique known as Parallel Analysis of RNA Ends (PARE) has made it possible to sequence mRNA cleavage products on a large-scale. Computational methods now exist to use these data to find targets of conserved and newly identified miRNAs. Due to speed limitations such methods rely on the user knowing which sRNA sequences are likely to target a transcript. By limiting the search to a tiny subset of sRNAs it is likely that many other sRNA/mRNA interactions will be missed. Here, we describe a new software tool called PAREsnip that allows users to search for potential targets of all sRNAs obtained from high-throughput sequencing experiments. By searching for targets of a complete ‘sRNAome’ we can facilitate large-scale identification of sRNA targets, allowing us to discover regulatory interaction networks. Oxford University Press 2012-07 2012-03-28 /pmc/articles/PMC3401462/ /pubmed/22467211 http://dx.doi.org/10.1093/nar/gks277 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Folkes, Leighton Moxon, Simon Woolfenden, Hugh C. Stocks, Matthew B. Szittya, Gyorgy Dalmay, Tamas Moulton, Vincent PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing |
title | PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing |
title_full | PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing |
title_fullStr | PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing |
title_full_unstemmed | PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing |
title_short | PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing |
title_sort | paresnip: a tool for rapid genome-wide discovery of small rna/target interactions evidenced through degradome sequencing |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3401462/ https://www.ncbi.nlm.nih.gov/pubmed/22467211 http://dx.doi.org/10.1093/nar/gks277 |
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