Cargando…
InTAD: chromosome conformation guided analysis of enhancer target genes
BACKGROUND: High-throughput technologies for analyzing chromosome conformation at a genome scale have revealed that chromatin is organized in topologically associated domains (TADs). While TADs are relatively stable across cell types, intra-TAD activities are cell type specific. Epigenetic profiling...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357397/ https://www.ncbi.nlm.nih.gov/pubmed/30704404 http://dx.doi.org/10.1186/s12859-019-2655-2 |
_version_ | 1783391782023725056 |
---|---|
author | Okonechnikov, Konstantin Erkek, Serap Korbel, Jan O. Pfister, Stefan M. Chavez, Lukas |
author_facet | Okonechnikov, Konstantin Erkek, Serap Korbel, Jan O. Pfister, Stefan M. Chavez, Lukas |
author_sort | Okonechnikov, Konstantin |
collection | PubMed |
description | BACKGROUND: High-throughput technologies for analyzing chromosome conformation at a genome scale have revealed that chromatin is organized in topologically associated domains (TADs). While TADs are relatively stable across cell types, intra-TAD activities are cell type specific. Epigenetic profiling of different tissues and cell-types has identified a large number of non-coding epigenetic regulatory elements (‘enhancers’) that can be located far away from coding genes. Linear proximity is a commonly chosen criterion for associating enhancers with their potential target genes. While enhancers frequently regulate the closest gene, unambiguous identification of enhancer regulated genes remains to be a challenge in the absence of sample matched chromosome conformation data. RESULTS: To associate enhancers with their target genes, we have previously developed and applied a method that tests for significant correlations between enhancer and gene expressions across a cohort of samples. To limit the number of tests, we constrain this analysis to gene-enhancer pairs embedded in the same TAD, where information on TAD boundaries is borrowed from publicly available chromosome conformation capturing (‘Hi-C’) data. We have now implemented this method as an R Bioconductor package ‘InTAD’ and verified the software package by reanalyzing available enhancer and gene expression data derived from ependymoma brain tumors. CONCLUSION: The open-source package InTAD is an easy-to-use software tool for identifying proximal and distal enhancer target genes by leveraging information on correlated expression of enhancers and genes that are located in the same TAD. InTAD can be applied to any heterogeneous cohort of samples analyzed by a combination of gene expression and epigenetic profiling techniques and integrates either public or custom information of TAD boundaries. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2655-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6357397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63573972019-02-07 InTAD: chromosome conformation guided analysis of enhancer target genes Okonechnikov, Konstantin Erkek, Serap Korbel, Jan O. Pfister, Stefan M. Chavez, Lukas BMC Bioinformatics Software BACKGROUND: High-throughput technologies for analyzing chromosome conformation at a genome scale have revealed that chromatin is organized in topologically associated domains (TADs). While TADs are relatively stable across cell types, intra-TAD activities are cell type specific. Epigenetic profiling of different tissues and cell-types has identified a large number of non-coding epigenetic regulatory elements (‘enhancers’) that can be located far away from coding genes. Linear proximity is a commonly chosen criterion for associating enhancers with their potential target genes. While enhancers frequently regulate the closest gene, unambiguous identification of enhancer regulated genes remains to be a challenge in the absence of sample matched chromosome conformation data. RESULTS: To associate enhancers with their target genes, we have previously developed and applied a method that tests for significant correlations between enhancer and gene expressions across a cohort of samples. To limit the number of tests, we constrain this analysis to gene-enhancer pairs embedded in the same TAD, where information on TAD boundaries is borrowed from publicly available chromosome conformation capturing (‘Hi-C’) data. We have now implemented this method as an R Bioconductor package ‘InTAD’ and verified the software package by reanalyzing available enhancer and gene expression data derived from ependymoma brain tumors. CONCLUSION: The open-source package InTAD is an easy-to-use software tool for identifying proximal and distal enhancer target genes by leveraging information on correlated expression of enhancers and genes that are located in the same TAD. InTAD can be applied to any heterogeneous cohort of samples analyzed by a combination of gene expression and epigenetic profiling techniques and integrates either public or custom information of TAD boundaries. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2655-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-31 /pmc/articles/PMC6357397/ /pubmed/30704404 http://dx.doi.org/10.1186/s12859-019-2655-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Okonechnikov, Konstantin Erkek, Serap Korbel, Jan O. Pfister, Stefan M. Chavez, Lukas InTAD: chromosome conformation guided analysis of enhancer target genes |
title | InTAD: chromosome conformation guided analysis of enhancer target genes |
title_full | InTAD: chromosome conformation guided analysis of enhancer target genes |
title_fullStr | InTAD: chromosome conformation guided analysis of enhancer target genes |
title_full_unstemmed | InTAD: chromosome conformation guided analysis of enhancer target genes |
title_short | InTAD: chromosome conformation guided analysis of enhancer target genes |
title_sort | intad: chromosome conformation guided analysis of enhancer target genes |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357397/ https://www.ncbi.nlm.nih.gov/pubmed/30704404 http://dx.doi.org/10.1186/s12859-019-2655-2 |
work_keys_str_mv | AT okonechnikovkonstantin intadchromosomeconformationguidedanalysisofenhancertargetgenes AT erkekserap intadchromosomeconformationguidedanalysisofenhancertargetgenes AT korbeljano intadchromosomeconformationguidedanalysisofenhancertargetgenes AT pfisterstefanm intadchromosomeconformationguidedanalysisofenhancertargetgenes AT chavezlukas intadchromosomeconformationguidedanalysisofenhancertargetgenes |