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Identification of regulatory elements from nascent transcription using dREG
Our genomes encode a wealth of transcription initiation regions (TIRs) that can be identified by their distinctive patterns of actively elongating RNA polymerase. We previously introduced dREG to identify TIRs using PRO-seq data. Here, we introduce an efficient new implementation of dREG that uses P...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360809/ https://www.ncbi.nlm.nih.gov/pubmed/30573452 http://dx.doi.org/10.1101/gr.238279.118 |
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author | Wang, Zhong Chu, Tinyi Choate, Lauren A. Danko, Charles G. |
author_facet | Wang, Zhong Chu, Tinyi Choate, Lauren A. Danko, Charles G. |
author_sort | Wang, Zhong |
collection | PubMed |
description | Our genomes encode a wealth of transcription initiation regions (TIRs) that can be identified by their distinctive patterns of actively elongating RNA polymerase. We previously introduced dREG to identify TIRs using PRO-seq data. Here, we introduce an efficient new implementation of dREG that uses PRO-seq data to identify both uni- and bidirectionally transcribed TIRs with 70% improvement in accuracy, three- to fourfold higher resolution, and >100-fold increases in computational efficiency. Using a novel strategy to identify TIRs based on their statistical confidence reveals extensive overlap with orthogonal assays, yet also reveals thousands of additional weakly transcribed TIRs that were not identified by H3K27ac ChIP-seq or DNase-seq. Novel TIRs discovered by dREG were often associated with RNA polymerase III initiation, bound by pioneer transcription factors, or located in broad domains marked by repressive chromatin modifications. Our results suggest that transcription initiation can be a powerful tool for expanding the catalog of functional elements. |
format | Online Article Text |
id | pubmed-6360809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63608092019-08-01 Identification of regulatory elements from nascent transcription using dREG Wang, Zhong Chu, Tinyi Choate, Lauren A. Danko, Charles G. Genome Res Method Our genomes encode a wealth of transcription initiation regions (TIRs) that can be identified by their distinctive patterns of actively elongating RNA polymerase. We previously introduced dREG to identify TIRs using PRO-seq data. Here, we introduce an efficient new implementation of dREG that uses PRO-seq data to identify both uni- and bidirectionally transcribed TIRs with 70% improvement in accuracy, three- to fourfold higher resolution, and >100-fold increases in computational efficiency. Using a novel strategy to identify TIRs based on their statistical confidence reveals extensive overlap with orthogonal assays, yet also reveals thousands of additional weakly transcribed TIRs that were not identified by H3K27ac ChIP-seq or DNase-seq. Novel TIRs discovered by dREG were often associated with RNA polymerase III initiation, bound by pioneer transcription factors, or located in broad domains marked by repressive chromatin modifications. Our results suggest that transcription initiation can be a powerful tool for expanding the catalog of functional elements. Cold Spring Harbor Laboratory Press 2019-02 /pmc/articles/PMC6360809/ /pubmed/30573452 http://dx.doi.org/10.1101/gr.238279.118 Text en © 2019 Wang et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Method Wang, Zhong Chu, Tinyi Choate, Lauren A. Danko, Charles G. Identification of regulatory elements from nascent transcription using dREG |
title | Identification of regulatory elements from nascent transcription using dREG |
title_full | Identification of regulatory elements from nascent transcription using dREG |
title_fullStr | Identification of regulatory elements from nascent transcription using dREG |
title_full_unstemmed | Identification of regulatory elements from nascent transcription using dREG |
title_short | Identification of regulatory elements from nascent transcription using dREG |
title_sort | identification of regulatory elements from nascent transcription using dreg |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360809/ https://www.ncbi.nlm.nih.gov/pubmed/30573452 http://dx.doi.org/10.1101/gr.238279.118 |
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