The APOLO long noncoding RNA directly modulates three-dimensional conformation of multiple distal loci across the Arabidopsis genome
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ABSTRACT:
PROVIDER: PRJNA482315 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7550773.fastq.gz | Fastqsanger.gz | |||
| SRR7550774.fastq.gz | Fastqsanger.gz | |||
| SRR7550775.fastq.gz | Fastqsanger.gz | |||
| SRR7550776.fastq.gz | Fastqsanger.gz |
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Project description:Proving that a novel mechanism by which the lncRNA APOLO (AUXIN REGULATED PROMOTER LOOP) is able to recognize multiple distant independent loci in the Arabidopsis thaliana genome.
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Project description:The 3-dimensional (3D) conformation of chromatin inside the nucleus is integral to a variety of nuclear processes including transcriptional regulation, DNA replication, and DNA damage repair. Aberrations in 3D chromatin conformation have been implicated in developmental abnormalities and cancer. Despite the importance of 3D chromatin conformation to cellular function and human health, little is known about how 3D chromatin conformation varies in the human population, or whether DNA sequence variation between individuals influences 3D chromatin conformation. To address these questions, we performed Hi-C on Lymphoblastoid Cell Lines (LCLs) from a panel of 20 individuals. We identify thousands of regions across the genome where 3D chromatin conformation varies between individuals and find that these conformational variations are often accompanied by variations in gene expression, histone modifications, and transcription factor (TF) binding. Moreover, we find that DNA sequence variation influences several features of 3D chromatin conformation including loop strength, contact insulation, contact directionality and density of local cis contacts. We map hundreds of Quantitative Trait Loci (QTLs) associated with 3D chromatin features and find evidence that some of these same variants are associated at modest levels with other molecular phenotypes as well as complex disease risk. Our results demonstrate that common DNA sequence variants can influence 3D chromatin conformation, pointing to a more pervasive role for 3D chromatin conformation in human phenotypic variation than previously recognized.
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Project description:The spatial organization of genes in the interphase nucleus plays an important role in establishment and regulation of gene expression. Contradicting results have been reported to date, with little consensus about the dynamics of nuclear organization and the features of the contact loci. In this study we investigated the properties and dynamics of genomic loci that are in contact with glucocorticoid receptor (GR)-responsive loci. We took a systematic approach, combining genome-wide interaction profiling by the chromosome conformation capture-on-chip (4C) technology with expression, protein occupancy, and chromatin accessibility profiles. This approach allowed a comprehensive analysis of how distinct features of the linear genome are organized in the three-dimensional nuclear space in the context of rapid gene regulation. We found that the transcriptional response to GR occurs without dramatic nuclear reorganization. Moreover, contrary to the view of transcription-driven organization, even genes with opposite transcriptional responses co-localize. Regions contacting GR-regulated genes are not particularly enriched for GR-regulated loci or for any functional group of genes, suggesting that these subnuclear environments are not organized to respond to a specific factor. The contact regions are, however, highly enriched for DNaseI hypersensitive sites which represent the entire cell type-specific regulatory sites. These findings indicate that the nucleus is pre-organized in a conformation allowing rapid transcriptional reprogramming, and suggest that a major force in shaping genome architecture is the repertoire of chromatin binding factors. Numerous open chromatin loci may be arranged in nuclear domains that are poised to respond to diverse signals in general, and to permit efficient gene regulation. Fourteen arrays total: Eight microarrays from individual biological replicates, and six microarrays each from a pool of two biological replicates. This submission represents the chromosome conformation capture-on-chip component of the study. The expression data are included in GSE26189.
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