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4See: A Flexible Browser to Explore 4C Data
It is established that transcription of many metazoan genes is regulated by distal regulatory sequences beyond the promoter. Enhancers have been identified at up to megabase distances from their regulated genes, and/or proximal to or within the introns of unregulated genes. The unambiguous identific...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985583/ https://www.ncbi.nlm.nih.gov/pubmed/32038719 http://dx.doi.org/10.3389/fgene.2019.01372 |
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author | Ben Zouari, Yousra Platania, Angeliki Molitor, Anne M. Sexton, Tom |
author_facet | Ben Zouari, Yousra Platania, Angeliki Molitor, Anne M. Sexton, Tom |
author_sort | Ben Zouari, Yousra |
collection | PubMed |
description | It is established that transcription of many metazoan genes is regulated by distal regulatory sequences beyond the promoter. Enhancers have been identified at up to megabase distances from their regulated genes, and/or proximal to or within the introns of unregulated genes. The unambiguous identification of the target genes of newly identified regulatory elements can thus be challenging. Well-studied enhancers have been found to come into direct physical proximity with regulated genes, presumably by the formation of chromatin loops. Chromosome conformation capture (3C) derivatives that assess the frequency of proximity between different genetic elements is thus a popular method for exploring gene regulation by distal regulatory elements. For studies of chromatin loops and promoter-enhancer communication, 4C (circular chromosome conformation capture) is one of the methods of choice, optimizing cost (required sequencing depth), throughput, and resolution. For ease of visual inspection of 4C data we present 4See, a versatile and user-friendly browser. 4See allows 4C profiles from the same bait to be flexibly plotted together, allowing biological replicates to either be compared, or pooled for comparisons between different cell types or experimental conditions. 4C profiles can be integrated with gene tracks, linear epigenomic profiles, and annotated regions of interest, such as called significant interactions, allowing rapid data exploration with limited computational resources or bioinformatics expertise. |
format | Online Article Text |
id | pubmed-6985583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69855832020-02-07 4See: A Flexible Browser to Explore 4C Data Ben Zouari, Yousra Platania, Angeliki Molitor, Anne M. Sexton, Tom Front Genet Genetics It is established that transcription of many metazoan genes is regulated by distal regulatory sequences beyond the promoter. Enhancers have been identified at up to megabase distances from their regulated genes, and/or proximal to or within the introns of unregulated genes. The unambiguous identification of the target genes of newly identified regulatory elements can thus be challenging. Well-studied enhancers have been found to come into direct physical proximity with regulated genes, presumably by the formation of chromatin loops. Chromosome conformation capture (3C) derivatives that assess the frequency of proximity between different genetic elements is thus a popular method for exploring gene regulation by distal regulatory elements. For studies of chromatin loops and promoter-enhancer communication, 4C (circular chromosome conformation capture) is one of the methods of choice, optimizing cost (required sequencing depth), throughput, and resolution. For ease of visual inspection of 4C data we present 4See, a versatile and user-friendly browser. 4See allows 4C profiles from the same bait to be flexibly plotted together, allowing biological replicates to either be compared, or pooled for comparisons between different cell types or experimental conditions. 4C profiles can be integrated with gene tracks, linear epigenomic profiles, and annotated regions of interest, such as called significant interactions, allowing rapid data exploration with limited computational resources or bioinformatics expertise. Frontiers Media S.A. 2020-01-21 /pmc/articles/PMC6985583/ /pubmed/32038719 http://dx.doi.org/10.3389/fgene.2019.01372 Text en Copyright © 2020 Ben Zouari, Platania, Molitor and Sexton http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Ben Zouari, Yousra Platania, Angeliki Molitor, Anne M. Sexton, Tom 4See: A Flexible Browser to Explore 4C Data |
title | 4See: A Flexible Browser to Explore 4C Data |
title_full | 4See: A Flexible Browser to Explore 4C Data |
title_fullStr | 4See: A Flexible Browser to Explore 4C Data |
title_full_unstemmed | 4See: A Flexible Browser to Explore 4C Data |
title_short | 4See: A Flexible Browser to Explore 4C Data |
title_sort | 4see: a flexible browser to explore 4c data |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985583/ https://www.ncbi.nlm.nih.gov/pubmed/32038719 http://dx.doi.org/10.3389/fgene.2019.01372 |
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