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Detection of RNA–DNA binding sites in long noncoding RNAs
Long non-coding RNAs (lncRNAs) can act as scaffolds that promote the interaction of proteins, RNA, and DNA. There is increasing evidence of sequence-specific interactions of lncRNAs with DNA via triple-helix (triplex) formation. This process allows lncRNAs to recruit protein complexes to specific ge...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451187/ https://www.ncbi.nlm.nih.gov/pubmed/30698727 http://dx.doi.org/10.1093/nar/gkz037 |
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author | Kuo, Chao-Chung Hänzelmann, Sonja Sentürk Cetin, Nevcin Frank, Stefan Zajzon, Barna Derks, Jens-Peter Akhade, Vijay Suresh Ahuja, Gaurav Kanduri, Chandrasekhar Grummt, Ingrid Kurian, Leo Costa, Ivan G |
author_facet | Kuo, Chao-Chung Hänzelmann, Sonja Sentürk Cetin, Nevcin Frank, Stefan Zajzon, Barna Derks, Jens-Peter Akhade, Vijay Suresh Ahuja, Gaurav Kanduri, Chandrasekhar Grummt, Ingrid Kurian, Leo Costa, Ivan G |
author_sort | Kuo, Chao-Chung |
collection | PubMed |
description | Long non-coding RNAs (lncRNAs) can act as scaffolds that promote the interaction of proteins, RNA, and DNA. There is increasing evidence of sequence-specific interactions of lncRNAs with DNA via triple-helix (triplex) formation. This process allows lncRNAs to recruit protein complexes to specific genomic regions and regulate gene expression. Here we propose a computational method called Triplex Domain Finder (TDF) to detect triplexes and characterize DNA-binding domains and DNA targets statistically. Case studies showed that this approach can detect the known domains of lncRNAs Fendrr, HOTAIR and MEG3. Moreover, we validated a novel DNA-binding domain in MEG3 by a genome-wide sequencing method. We used TDF to perform a systematic analysis of the triplex-forming potential of lncRNAs relevant to human cardiac differentiation. We demonstrated that the lncRNA with the highest triplex-forming potential, GATA6-AS, forms triple helices in the promoter of genes relevant to cardiac development. Moreover, down-regulation of GATA6-AS impairs GATA6 expression and cardiac development. These data indicate the unique ability of our computational tool to identify novel triplex-forming lncRNAs and their target genes. |
format | Online Article Text |
id | pubmed-6451187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64511872019-04-09 Detection of RNA–DNA binding sites in long noncoding RNAs Kuo, Chao-Chung Hänzelmann, Sonja Sentürk Cetin, Nevcin Frank, Stefan Zajzon, Barna Derks, Jens-Peter Akhade, Vijay Suresh Ahuja, Gaurav Kanduri, Chandrasekhar Grummt, Ingrid Kurian, Leo Costa, Ivan G Nucleic Acids Res Methods Online Long non-coding RNAs (lncRNAs) can act as scaffolds that promote the interaction of proteins, RNA, and DNA. There is increasing evidence of sequence-specific interactions of lncRNAs with DNA via triple-helix (triplex) formation. This process allows lncRNAs to recruit protein complexes to specific genomic regions and regulate gene expression. Here we propose a computational method called Triplex Domain Finder (TDF) to detect triplexes and characterize DNA-binding domains and DNA targets statistically. Case studies showed that this approach can detect the known domains of lncRNAs Fendrr, HOTAIR and MEG3. Moreover, we validated a novel DNA-binding domain in MEG3 by a genome-wide sequencing method. We used TDF to perform a systematic analysis of the triplex-forming potential of lncRNAs relevant to human cardiac differentiation. We demonstrated that the lncRNA with the highest triplex-forming potential, GATA6-AS, forms triple helices in the promoter of genes relevant to cardiac development. Moreover, down-regulation of GATA6-AS impairs GATA6 expression and cardiac development. These data indicate the unique ability of our computational tool to identify novel triplex-forming lncRNAs and their target genes. Oxford University Press 2019-04-08 2019-01-30 /pmc/articles/PMC6451187/ /pubmed/30698727 http://dx.doi.org/10.1093/nar/gkz037 Text en © The Author(s) 2019. 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 | Methods Online Kuo, Chao-Chung Hänzelmann, Sonja Sentürk Cetin, Nevcin Frank, Stefan Zajzon, Barna Derks, Jens-Peter Akhade, Vijay Suresh Ahuja, Gaurav Kanduri, Chandrasekhar Grummt, Ingrid Kurian, Leo Costa, Ivan G Detection of RNA–DNA binding sites in long noncoding RNAs |
title | Detection of RNA–DNA binding sites in long noncoding RNAs |
title_full | Detection of RNA–DNA binding sites in long noncoding RNAs |
title_fullStr | Detection of RNA–DNA binding sites in long noncoding RNAs |
title_full_unstemmed | Detection of RNA–DNA binding sites in long noncoding RNAs |
title_short | Detection of RNA–DNA binding sites in long noncoding RNAs |
title_sort | detection of rna–dna binding sites in long noncoding rnas |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451187/ https://www.ncbi.nlm.nih.gov/pubmed/30698727 http://dx.doi.org/10.1093/nar/gkz037 |
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