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Genome-wide identification of RNA-chromatin interactions in Arabidopsis [GRO-seq]

ABSTRACT: Genome-wide identification of RNA-chromatin interactions in Arabidopsis [GRO-seq]

PROVIDER: PRJNA752623 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR15362138.fastq.gz	Fastqsanger.gz
	SRR15362139.fastq.gz	Fastqsanger.gz
	SRR15362140.fastq.gz	Fastqsanger.gz
	SRR15362141.fastq.gz	Fastqsanger.gz
	SRR15362142.fastq.gz	Fastqsanger.gz

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Genome-wide identification of RNA-chromatin interactions in Arabidopsis [GRO-seq]

Project description:It is increasingly evident that various RNA molecules can bind chromatin to regulate gene expression and genome organization. Here we adapted a sequencing-based technique to profile RNA-chromatin interactions at a genome-wide scale in Arabidopsis seedlings. We identified more than ten thousand RNA-chromatin interactions mediated by protein-coding RNAs, long non-coding RNAs (ncRNAs) and small ncRNAs in Arabidopsis. These RNAs preferentially target genic regions, especially exonic regions. Protein-coding RNAs primarily engage in local and cis-chromosomal interactions, whereas long ncRNAs (lncRNAs) and small ncRNAs preferentially engage in trans-chromosomal interactions. RNA-chromatin interactions tend to positively correlate with DNA-DNA interactions, suggesting a role of DNA-DNA interactions in confining RNA-chromatin interactions and/or a role of RNA-chromatin interactions in shaping genome organization at a global level. We further show that some RNA-chromatin interactions undergo alterations in response to biotic and abiotic stresses. Our study provides a global view of RNA-chromatin interactions in Arabidopsis and a rich resource for future investigation of the regulatory roles of RNAs in gene expression and genome organization.

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Genome-wide identification of RNA-chromatin interactions in Arabidopsis

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Genome-wide Analysis of Chromatin Interactions in Human Cells

Project description:Millions of cis-regulatory sequences have recently been found in the human genome, but the function of most cis-elements are not yet clear, in part due to the difficulty in determining their regulatory targets, which are often located millions of base pairs away and separated by one or more unrelated genes. To address this problem, the Hi-C method has been developed to identify long-range looping interactions in a genome-wide, unbiased fashion. However, current data analysis of Hi-C datasets cannot fully resolve regulatory interactions between enhancers and promoters due to the low resolution. Here, we generated a high-depth Hi-C dataset and applied a new analysis method that offers improved resolution permitting genome-wide identification of nearly one million chromatin interactions. We demonstrated the use of Hi-C to identify target promoters of enhancers regulated by NF-M-NM-:B signaling and signal-dependent dynamic chromatin interaction at these enhancers in human cells. Surprisingly, our results showed that most NF-M-NM-:B binding sites are looped to their regulatory targets prior to activation of the signaling pathway, and appear to undergo little change during signaling. This observation suggests that the chromatin organization landscape, once established in a cell type, is rather stable and may influence the selection and activation of target genes by a transcription factor. We performed Hi-C analysis using a human fibroblast cell line IMR90 before and after NF-M-NM-:B activation. In the meantime, we also performed ChIP-seq experiments to map the location of NF-M-NM-:B p65 subunit, RNA polymerase II, p300, and several histone modifications (including H3K4me1, H3K4me3, H3K27ac and H3K36me3) in IMR90 cells before and after transient TNF-M-NM-1 stimulation. Additionally, to monitor the dynamic transcription profiles, we also performed Global Run-On sequencing (GRO-seq).

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