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High-throughput functional testing of ENCODE segmentation predictions
The histone modification state of genomic regions is hypothesized to reflect the regulatory activity of the underlying genomic DNA. Based on this hypothesis, the ENCODE Project Consortium measured the status of multiple histone modifications across the genome in several cell types and used these dat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199366/ https://www.ncbi.nlm.nih.gov/pubmed/25035418 http://dx.doi.org/10.1101/gr.173518.114 |
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author | Kwasnieski, Jamie C. Fiore, Christopher Chaudhari, Hemangi G. Cohen, Barak A. |
author_facet | Kwasnieski, Jamie C. Fiore, Christopher Chaudhari, Hemangi G. Cohen, Barak A. |
author_sort | Kwasnieski, Jamie C. |
collection | PubMed |
description | The histone modification state of genomic regions is hypothesized to reflect the regulatory activity of the underlying genomic DNA. Based on this hypothesis, the ENCODE Project Consortium measured the status of multiple histone modifications across the genome in several cell types and used these data to segment the genome into regions with different predicted regulatory activities. We measured the cis-regulatory activity of more than 2000 of these predictions in the K562 leukemia cell line. We tested genomic segments predicted to be Enhancers, Weak Enhancers, or Repressed elements in K562 cells, along with other sequences predicted to be Enhancers specific to the H1 human embryonic stem cell line (H1-hESC). Both Enhancer and Weak Enhancer sequences in K562 cells were more active than negative controls, although surprisingly, Weak Enhancer segmentations drove expression higher than did Enhancer segmentations. Lower levels of the covalent histone modifications H3K36me3 and H3K27ac, thought to mark active enhancers and transcribed gene bodies, associate with higher expression and partly explain the higher activity of Weak Enhancers over Enhancer predictions. While DNase I hypersensitivity (HS) is a good predictor of active sequences in our assay, transcription factor (TF) binding models need to be included in order to accurately identify highly expressed sequences. Overall, our results show that a significant fraction (∼26%) of the ENCODE enhancer predictions have regulatory activity, suggesting that histone modification states can reflect the cis-regulatory activity of sequences in the genome, but that specific sequence preferences, such as TF-binding sites, are the causal determinants of cis-regulatory activity. |
format | Online Article Text |
id | pubmed-4199366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41993662015-04-01 High-throughput functional testing of ENCODE segmentation predictions Kwasnieski, Jamie C. Fiore, Christopher Chaudhari, Hemangi G. Cohen, Barak A. Genome Res Research The histone modification state of genomic regions is hypothesized to reflect the regulatory activity of the underlying genomic DNA. Based on this hypothesis, the ENCODE Project Consortium measured the status of multiple histone modifications across the genome in several cell types and used these data to segment the genome into regions with different predicted regulatory activities. We measured the cis-regulatory activity of more than 2000 of these predictions in the K562 leukemia cell line. We tested genomic segments predicted to be Enhancers, Weak Enhancers, or Repressed elements in K562 cells, along with other sequences predicted to be Enhancers specific to the H1 human embryonic stem cell line (H1-hESC). Both Enhancer and Weak Enhancer sequences in K562 cells were more active than negative controls, although surprisingly, Weak Enhancer segmentations drove expression higher than did Enhancer segmentations. Lower levels of the covalent histone modifications H3K36me3 and H3K27ac, thought to mark active enhancers and transcribed gene bodies, associate with higher expression and partly explain the higher activity of Weak Enhancers over Enhancer predictions. While DNase I hypersensitivity (HS) is a good predictor of active sequences in our assay, transcription factor (TF) binding models need to be included in order to accurately identify highly expressed sequences. Overall, our results show that a significant fraction (∼26%) of the ENCODE enhancer predictions have regulatory activity, suggesting that histone modification states can reflect the cis-regulatory activity of sequences in the genome, but that specific sequence preferences, such as TF-binding sites, are the causal determinants of cis-regulatory activity. Cold Spring Harbor Laboratory Press 2014-10 /pmc/articles/PMC4199366/ /pubmed/25035418 http://dx.doi.org/10.1101/gr.173518.114 Text en © 2014 Kwasnieski 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 | Research Kwasnieski, Jamie C. Fiore, Christopher Chaudhari, Hemangi G. Cohen, Barak A. High-throughput functional testing of ENCODE segmentation predictions |
title | High-throughput functional testing of ENCODE segmentation predictions |
title_full | High-throughput functional testing of ENCODE segmentation predictions |
title_fullStr | High-throughput functional testing of ENCODE segmentation predictions |
title_full_unstemmed | High-throughput functional testing of ENCODE segmentation predictions |
title_short | High-throughput functional testing of ENCODE segmentation predictions |
title_sort | high-throughput functional testing of encode segmentation predictions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199366/ https://www.ncbi.nlm.nih.gov/pubmed/25035418 http://dx.doi.org/10.1101/gr.173518.114 |
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