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Systematic classification of non-coding RNAs by epigenomic similarity

BACKGROUND: Even though only 1.5% of the human genome is translated into proteins, recent reports indicate that most of it is transcribed into non-coding RNAs (ncRNAs), which are becoming the subject of increased scientific interest. We hypothesized that examining how different classes of ncRNAs co-...

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Autores principales: Dozmorov, Mikhail G, Giles, Cory B, Koelsch, Kristi A, Wren, Jonathan D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851203/
https://www.ncbi.nlm.nih.gov/pubmed/24267974
http://dx.doi.org/10.1186/1471-2105-14-S14-S2
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author Dozmorov, Mikhail G
Giles, Cory B
Koelsch, Kristi A
Wren, Jonathan D
author_facet Dozmorov, Mikhail G
Giles, Cory B
Koelsch, Kristi A
Wren, Jonathan D
author_sort Dozmorov, Mikhail G
collection PubMed
description BACKGROUND: Even though only 1.5% of the human genome is translated into proteins, recent reports indicate that most of it is transcribed into non-coding RNAs (ncRNAs), which are becoming the subject of increased scientific interest. We hypothesized that examining how different classes of ncRNAs co-localized with annotated epigenomic elements could help understand the functions, regulatory mechanisms, and relationships among ncRNA families. RESULTS: We examined 15 different ncRNA classes for statistically significant genomic co-localizations with cell type-specific chromatin segmentation states, transcription factor binding sites (TFBSs), and histone modification marks using GenomeRunner (http://www.genomerunner.org). P-values were obtained using a Chi-square test and corrected for multiple testing using the Benjamini-Hochberg procedure. We clustered and visualized the ncRNA classes by the strength of their statistical enrichments and depletions. We found piwi-interacting RNAs (piRNAs) to be depleted in regions containing activating histone modification marks, such as H3K4 mono-, di- and trimethylation, H3K27 acetylation, as well as certain TFBSs. piRNAs were further depleted in active promoters, weak transcription, and transcription elongation regions, and enriched in repressed and heterochromatic regions. Conversely, transfer RNAs (tRNAs) were depleted in heterochromatin regions and strongly enriched in regions containing activating H3K4 di- and trimethylation marks, H2az histone variant, and a variety of TFBSs. Interestingly, regions containing CTCF insulator protein binding sites were associated with tRNAs. tRNAs were also enriched in the active, weak and poised promoters and, surprisingly, in regions with repetitive/copy number variations. CONCLUSIONS: Searching for statistically significant associations between ncRNA classes and epigenomic elements permits detection of potential functional and/or regulatory relationships among ncRNA classes, and suggests cell type-specific biological roles of ncRNAs.
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spelling pubmed-38512032013-12-13 Systematic classification of non-coding RNAs by epigenomic similarity Dozmorov, Mikhail G Giles, Cory B Koelsch, Kristi A Wren, Jonathan D BMC Bioinformatics Proceedings BACKGROUND: Even though only 1.5% of the human genome is translated into proteins, recent reports indicate that most of it is transcribed into non-coding RNAs (ncRNAs), which are becoming the subject of increased scientific interest. We hypothesized that examining how different classes of ncRNAs co-localized with annotated epigenomic elements could help understand the functions, regulatory mechanisms, and relationships among ncRNA families. RESULTS: We examined 15 different ncRNA classes for statistically significant genomic co-localizations with cell type-specific chromatin segmentation states, transcription factor binding sites (TFBSs), and histone modification marks using GenomeRunner (http://www.genomerunner.org). P-values were obtained using a Chi-square test and corrected for multiple testing using the Benjamini-Hochberg procedure. We clustered and visualized the ncRNA classes by the strength of their statistical enrichments and depletions. We found piwi-interacting RNAs (piRNAs) to be depleted in regions containing activating histone modification marks, such as H3K4 mono-, di- and trimethylation, H3K27 acetylation, as well as certain TFBSs. piRNAs were further depleted in active promoters, weak transcription, and transcription elongation regions, and enriched in repressed and heterochromatic regions. Conversely, transfer RNAs (tRNAs) were depleted in heterochromatin regions and strongly enriched in regions containing activating H3K4 di- and trimethylation marks, H2az histone variant, and a variety of TFBSs. Interestingly, regions containing CTCF insulator protein binding sites were associated with tRNAs. tRNAs were also enriched in the active, weak and poised promoters and, surprisingly, in regions with repetitive/copy number variations. CONCLUSIONS: Searching for statistically significant associations between ncRNA classes and epigenomic elements permits detection of potential functional and/or regulatory relationships among ncRNA classes, and suggests cell type-specific biological roles of ncRNAs. BioMed Central 2013-10-09 /pmc/articles/PMC3851203/ /pubmed/24267974 http://dx.doi.org/10.1186/1471-2105-14-S14-S2 Text en Copyright © 2013 Dozmorov et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Dozmorov, Mikhail G
Giles, Cory B
Koelsch, Kristi A
Wren, Jonathan D
Systematic classification of non-coding RNAs by epigenomic similarity
title Systematic classification of non-coding RNAs by epigenomic similarity
title_full Systematic classification of non-coding RNAs by epigenomic similarity
title_fullStr Systematic classification of non-coding RNAs by epigenomic similarity
title_full_unstemmed Systematic classification of non-coding RNAs by epigenomic similarity
title_short Systematic classification of non-coding RNAs by epigenomic similarity
title_sort systematic classification of non-coding rnas by epigenomic similarity
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851203/
https://www.ncbi.nlm.nih.gov/pubmed/24267974
http://dx.doi.org/10.1186/1471-2105-14-S14-S2
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