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In the loop: promoter–enhancer interactions and bioinformatics
Enhancer–promoter regulation is a fundamental mechanism underlying differential transcriptional regulation. Spatial chromatin organization brings remote enhancers in contact with target promoters in cis to regulate gene expression. There is considerable evidence for promoter–enhancer interactions (P...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5142009/ https://www.ncbi.nlm.nih.gov/pubmed/26586731 http://dx.doi.org/10.1093/bib/bbv097 |
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author | Mora, Antonio Sandve, Geir Kjetil Gabrielsen, Odd Stokke Eskeland, Ragnhild |
author_facet | Mora, Antonio Sandve, Geir Kjetil Gabrielsen, Odd Stokke Eskeland, Ragnhild |
author_sort | Mora, Antonio |
collection | PubMed |
description | Enhancer–promoter regulation is a fundamental mechanism underlying differential transcriptional regulation. Spatial chromatin organization brings remote enhancers in contact with target promoters in cis to regulate gene expression. There is considerable evidence for promoter–enhancer interactions (PEIs). In the recent years, genome-wide analyses have identified signatures and mapped novel enhancers; however, being able to precisely identify their target gene(s) requires massive biological and bioinformatics efforts. In this review, we give a short overview of the chromatin landscape and transcriptional regulation. We discuss some key concepts and problems related to chromatin interaction detection technologies, and emerging knowledge from genome-wide chromatin interaction data sets. Then, we critically review different types of bioinformatics analysis methods and tools related to representation and visualization of PEI data, raw data processing and PEI prediction. Lastly, we provide specific examples of how PEIs have been used to elucidate a functional role of non-coding single-nucleotide polymorphisms. The topic is at the forefront of epigenetic research, and by highlighting some future bioinformatics challenges in the field, this review provides a comprehensive background for future PEI studies. |
format | Online Article Text |
id | pubmed-5142009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-51420092016-12-08 In the loop: promoter–enhancer interactions and bioinformatics Mora, Antonio Sandve, Geir Kjetil Gabrielsen, Odd Stokke Eskeland, Ragnhild Brief Bioinform Software Review Enhancer–promoter regulation is a fundamental mechanism underlying differential transcriptional regulation. Spatial chromatin organization brings remote enhancers in contact with target promoters in cis to regulate gene expression. There is considerable evidence for promoter–enhancer interactions (PEIs). In the recent years, genome-wide analyses have identified signatures and mapped novel enhancers; however, being able to precisely identify their target gene(s) requires massive biological and bioinformatics efforts. In this review, we give a short overview of the chromatin landscape and transcriptional regulation. We discuss some key concepts and problems related to chromatin interaction detection technologies, and emerging knowledge from genome-wide chromatin interaction data sets. Then, we critically review different types of bioinformatics analysis methods and tools related to representation and visualization of PEI data, raw data processing and PEI prediction. Lastly, we provide specific examples of how PEIs have been used to elucidate a functional role of non-coding single-nucleotide polymorphisms. The topic is at the forefront of epigenetic research, and by highlighting some future bioinformatics challenges in the field, this review provides a comprehensive background for future PEI studies. Oxford University Press 2016-11 2015-11-19 /pmc/articles/PMC5142009/ /pubmed/26586731 http://dx.doi.org/10.1093/bib/bbv097 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Review Mora, Antonio Sandve, Geir Kjetil Gabrielsen, Odd Stokke Eskeland, Ragnhild In the loop: promoter–enhancer interactions and bioinformatics |
title | In the loop: promoter–enhancer interactions and bioinformatics |
title_full | In the loop: promoter–enhancer interactions and bioinformatics |
title_fullStr | In the loop: promoter–enhancer interactions and bioinformatics |
title_full_unstemmed | In the loop: promoter–enhancer interactions and bioinformatics |
title_short | In the loop: promoter–enhancer interactions and bioinformatics |
title_sort | in the loop: promoter–enhancer interactions and bioinformatics |
topic | Software Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5142009/ https://www.ncbi.nlm.nih.gov/pubmed/26586731 http://dx.doi.org/10.1093/bib/bbv097 |
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