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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...

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Detalles Bibliográficos
Autores principales: Mora, Antonio, Sandve, Geir Kjetil, Gabrielsen, Odd Stokke, Eskeland, Ragnhild
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
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.
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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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