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Identifying transcription start sites and active enhancer elements using BruUV-seq

ABSTRACT: BruUV-seq utilizes UV light to introduce transcription-blocking DNA lesions randomly in the genome prior to bromouridine-labeling and deep sequencing of nascent RNA. By inhibiting transcription elongation, but not initiation, pre-treatment with UV light leads to a redistribution of transcription reads resulting in the enhancement of nascent RNA signal towards the 5′-end of genes promoting the identification of transcription start sites (TSSs). Furthermore, transcripts associated with arrested RNA polymerases are protected from 3′–5′ degradation and thus, unstable transcripts such as putative enhancer RNA (eRNA) are dramatically increased. Validation of BruUV-seq against GRO-cap that identifies capped run-on transcripts showed that most BruUV-seq peaks overlapped with GRO-cap signal over both TSSs and enhancer elements. Finally, BruUV-seq identified putative enhancer elements induced by tumor necrosis factor (TNF) treatment concomitant with expression of nearby TNF-induced genes. Taken together, BruUV-seq is a powerful new approach for identifying TSSs and active enhancer elements genome-wide in intact cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE75398 | GEO | 2015/12/21

SECONDARY ACCESSION(S): PRJNA304151

REPOSITORIES: GEO

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Identifying transcription start sites and active enhancer elements using BruUV-seq

Project description:BruUV-seq utilizes UV light to introduce transcription-blocking DNA lesions randomly in the genome prior to bromouridine-labeling and deep sequencing of nascent RNA. By inhibiting transcription elongation, but not initiation, pre-treatment with UV light leads to a redistribution of transcription reads resulting in the enhancement of nascent RNA signal towards the 5â²-end of genes promoting the identification of transcription start sites (TSSs). Furthermore, transcripts associated with arrested RNA polymerases are protected from 3â²â5â² degradation and thus, unstable transcripts such as putative enhancer RNA (eRNA) are dramatically increased. Validation of BruUV-seq against GRO-cap that identifies capped run-on transcripts showed that most BruUV-seq peaks overlapped with GRO-cap signal over both TSSs and enhancer elements. Finally, BruUV-seq identified putative enhancer elements induced by tumor necrosis factor (TNF) treatment concomitant with expression of nearby TNF-induced genes. Taken together, BruUV-seq is a powerful new approach for identifying TSSs and active enhancer elements genome-wide in intact cells. Two cell lines were used. K562 cells were mock-irradiated (control) or UVC-irradiated at two different doses (25 and 100 J/m^2). HF1 cells were UVC-irradiated (20 J/m^2) in three independent experiments (nfUV4,nfUV3a, and nfUV3b). In one experiment, HF1 cells were also treated with TNF (10 ng/mL) 1 h prior to UV irradiation (tnfpreUV2, paired with nfUV4).

2015-12-21 | E-GEOD-75398 | biostudies-arrayexpress

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2013-06-05 | E-GEOD-45914 | biostudies-arrayexpress

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Analysis of transcription start sites from nascent RNA identifies a unified architecture of initiation at mammalian promoters and enhancers (GRO-seq)

Project description:Despite the conventional distinction between promoters and enhancers, they share many features in mammals, including divergent transcription and similar modes of transcription factor (TF) binding. Here, we examine the architecture of transcription initiation genome-wide through comprehensive mapping of transcription start sites (TSSs) in human lymphoblastoid B-cell (GM12878) and chronic myelogenous leukemic (K562) tier 1, ENCODE cell lines using a nuclear run-on protocol called GRO-cap. This method captures TSSs for both stable and unstable transcripts, thus allowing us to conduct detailed comparisons between thousands of promoters and enhancers in human cells. These analyses reveal a common architecture of initiation at both promoters and enhancers, including tightly spaced (110 bp) divergent initiation that features similar frequencies of core-promoter sequence elements, highly-positioned flanking nucleosomes, and two modes of TF binding. Transcript elongation stability, a feature determined after transcription initiation, provides a more fundamental distinction between promoters and enhancers than the relative abundance of histone modifications and the presence of TFs or coactivators. These results support a unified model of transcription initiation at both promoters and enhancers.

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Analysis of transcription start sites from nascent RNA identifies a unified architecture of initiation at mammalian promoters and enhancers (GRO-cap)

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Project description:The functional importance of gene enhancers in regulated gene expression is well established. In addition to widespread transcription of long non-coding RNA (ncRNA) transcripts in mammalian cells, bidirectional ncRNAs referred to as eRNAs are present on enhancers. However, it has remained unclear whether these eRNAs are functional, or merely a reflection of enhancer activation. Here, we report that 17 ?-estradiol (E2)-bound estrogen receptor alpha (ER?) on enhancers causes a global increase in eRNA transcription on enhancers adjacent to E2 upregulated coding genes. These induced eRNAs, as functional transcripts, appear to exert important roles for the observed ligand-dependent induction of target coding genes, causing an increased strength of specific enhancer:promoter looping initiated by ER? binding. Cohesin, present on many ER?-regulated enhancers even prior to ligand treatment, apparently contributes to E2-dependent gene activation by stabilizing E2/ER?/eRNA-induced enhancer:promoter looping. Our data indicate that eRNAs are likely to exert important functions in many regulated programs of gene transcription. The ChIP-seqs in this study measure the binding landscape of master transcription regulator of estrogen signaling - ER?, together with common histone marks including H3K27ac and H3K4me1 in MCF7 cells. These data serve as the basis to understand the enhancer map and subsequent analysis of eRNA expression using GRO-seq. The GRO-seq measures the trancription of nascent RNAs in the genome. From MCF7 cells treated with veichle or estrodial, we could identify estrogen-regulated eRNAs and subsequently could study their functions.

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