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Mapping Native R-Loops Genome-wide Using a Targeted Nuclease Approach
R-loops are three-stranded DNA:RNA hybrids that are implicated in many nuclear processes. While R-loops may have physiological roles, the formation of stable, aberrant R-loops has been observed in neurological disorders and cancers. Current methods to assess their genome-wide distribution rely on af...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6870988/ https://www.ncbi.nlm.nih.gov/pubmed/31665646 http://dx.doi.org/10.1016/j.celrep.2019.09.052 |
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author | Yan, Qingqing Shields, Emily J. Bonasio, Roberto Sarma, Kavitha |
author_facet | Yan, Qingqing Shields, Emily J. Bonasio, Roberto Sarma, Kavitha |
author_sort | Yan, Qingqing |
collection | PubMed |
description | R-loops are three-stranded DNA:RNA hybrids that are implicated in many nuclear processes. While R-loops may have physiological roles, the formation of stable, aberrant R-loops has been observed in neurological disorders and cancers. Current methods to assess their genome-wide distribution rely on affinity purification, which is plagued by large input requirements, high noise, and poor sensitivity for dynamic R-loops. Here, we present MapR, a method that utilizes RNase H to guide micrococcal nuclease to R-loops, which are subsequently cleaved, released, and identified by sequencing. MapR detects R-loops formed at promoters and active enhancers that are likely to form transient R-loops due to the low transcriptional output of these regulatory elements and the short-lived nature of enhancer RNAs. MapR is as specific as existing techniques and more sensitive, allowing for genomewide coverage with low input material in a fraction of the time. |
format | Online Article Text |
id | pubmed-6870988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-68709882019-11-21 Mapping Native R-Loops Genome-wide Using a Targeted Nuclease Approach Yan, Qingqing Shields, Emily J. Bonasio, Roberto Sarma, Kavitha Cell Rep Article R-loops are three-stranded DNA:RNA hybrids that are implicated in many nuclear processes. While R-loops may have physiological roles, the formation of stable, aberrant R-loops has been observed in neurological disorders and cancers. Current methods to assess their genome-wide distribution rely on affinity purification, which is plagued by large input requirements, high noise, and poor sensitivity for dynamic R-loops. Here, we present MapR, a method that utilizes RNase H to guide micrococcal nuclease to R-loops, which are subsequently cleaved, released, and identified by sequencing. MapR detects R-loops formed at promoters and active enhancers that are likely to form transient R-loops due to the low transcriptional output of these regulatory elements and the short-lived nature of enhancer RNAs. MapR is as specific as existing techniques and more sensitive, allowing for genomewide coverage with low input material in a fraction of the time. 2019-10-29 /pmc/articles/PMC6870988/ /pubmed/31665646 http://dx.doi.org/10.1016/j.celrep.2019.09.052 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Yan, Qingqing Shields, Emily J. Bonasio, Roberto Sarma, Kavitha Mapping Native R-Loops Genome-wide Using a Targeted Nuclease Approach |
title | Mapping Native R-Loops Genome-wide Using a Targeted Nuclease Approach |
title_full | Mapping Native R-Loops Genome-wide Using a Targeted Nuclease Approach |
title_fullStr | Mapping Native R-Loops Genome-wide Using a Targeted Nuclease Approach |
title_full_unstemmed | Mapping Native R-Loops Genome-wide Using a Targeted Nuclease Approach |
title_short | Mapping Native R-Loops Genome-wide Using a Targeted Nuclease Approach |
title_sort | mapping native r-loops genome-wide using a targeted nuclease approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6870988/ https://www.ncbi.nlm.nih.gov/pubmed/31665646 http://dx.doi.org/10.1016/j.celrep.2019.09.052 |
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