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Identification and dynamic quantification of regulatory elements using total RNA
The spatial and temporal regulation of transcription initiation is pivotal for controlling gene expression. Here, we introduce capped-small RNA-seq (csRNA-seq), which uses total RNA as starting material to detect transcription start sites (TSSs) of both stable and unstable RNAs at single-nucleotide...
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/PMC6836739/ https://www.ncbi.nlm.nih.gov/pubmed/31649059 http://dx.doi.org/10.1101/gr.253492.119 |
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author | Duttke, Sascha H. Chang, Max W. Heinz, Sven Benner, Christopher |
author_facet | Duttke, Sascha H. Chang, Max W. Heinz, Sven Benner, Christopher |
author_sort | Duttke, Sascha H. |
collection | PubMed |
description | The spatial and temporal regulation of transcription initiation is pivotal for controlling gene expression. Here, we introduce capped-small RNA-seq (csRNA-seq), which uses total RNA as starting material to detect transcription start sites (TSSs) of both stable and unstable RNAs at single-nucleotide resolution. csRNA-seq is highly sensitive to acute changes in transcription and identifies an order of magnitude more regulated transcripts than does RNA-seq. Interrogating tissues from species across the eukaryotic kingdoms identified unstable transcripts resembling enhancer RNAs, pri-miRNAs, antisense transcripts, and promoter upstream transcripts in multicellular animals, plants, and fungi spanning 1.6 billion years of evolution. Integration of epigenomic data from these organisms revealed that histone H3 trimethylation (H3K4me3) was largely confined to TSSs of stable transcripts, whereas H3K27ac marked nucleosomes downstream from all active TSSs, suggesting an ancient role for posttranslational histone modifications in transcription. Our findings show that total RNA is sufficient to identify transcribed regulatory elements and capture the dynamics of initiated stable and unstable transcripts at single-nucleotide resolution in eukaryotes. |
format | Online Article Text |
id | pubmed-6836739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68367392019-11-20 Identification and dynamic quantification of regulatory elements using total RNA Duttke, Sascha H. Chang, Max W. Heinz, Sven Benner, Christopher Genome Res Method The spatial and temporal regulation of transcription initiation is pivotal for controlling gene expression. Here, we introduce capped-small RNA-seq (csRNA-seq), which uses total RNA as starting material to detect transcription start sites (TSSs) of both stable and unstable RNAs at single-nucleotide resolution. csRNA-seq is highly sensitive to acute changes in transcription and identifies an order of magnitude more regulated transcripts than does RNA-seq. Interrogating tissues from species across the eukaryotic kingdoms identified unstable transcripts resembling enhancer RNAs, pri-miRNAs, antisense transcripts, and promoter upstream transcripts in multicellular animals, plants, and fungi spanning 1.6 billion years of evolution. Integration of epigenomic data from these organisms revealed that histone H3 trimethylation (H3K4me3) was largely confined to TSSs of stable transcripts, whereas H3K27ac marked nucleosomes downstream from all active TSSs, suggesting an ancient role for posttranslational histone modifications in transcription. Our findings show that total RNA is sufficient to identify transcribed regulatory elements and capture the dynamics of initiated stable and unstable transcripts at single-nucleotide resolution in eukaryotes. Cold Spring Harbor Laboratory Press 2019-11 /pmc/articles/PMC6836739/ /pubmed/31649059 http://dx.doi.org/10.1101/gr.253492.119 Text en © 2019 Duttke et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Method Duttke, Sascha H. Chang, Max W. Heinz, Sven Benner, Christopher Identification and dynamic quantification of regulatory elements using total RNA |
title | Identification and dynamic quantification of regulatory elements using total RNA |
title_full | Identification and dynamic quantification of regulatory elements using total RNA |
title_fullStr | Identification and dynamic quantification of regulatory elements using total RNA |
title_full_unstemmed | Identification and dynamic quantification of regulatory elements using total RNA |
title_short | Identification and dynamic quantification of regulatory elements using total RNA |
title_sort | identification and dynamic quantification of regulatory elements using total rna |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836739/ https://www.ncbi.nlm.nih.gov/pubmed/31649059 http://dx.doi.org/10.1101/gr.253492.119 |
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