High-resolution mapping of multiway enhancer promoter interactions regulating pathogen detection
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA657630 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12463569_1.fastq.gz | Fastqsanger.gz | |||
| SRR12463569_2.fastq.gz | Fastqsanger.gz | |||
| SRR12463570_1.fastq.gz | Fastqsanger.gz | |||
| SRR12463570_2.fastq.gz | Fastqsanger.gz | |||
| SRR12463571_1.fastq.gz | Fastqsanger.gz |
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Project description:We developed an adaptation to Split-Pool Recognition of Interactions by Tag Extension (SPRITE) called SPRITE-immunoprecipitation (SIP), which enables us to map genome-wide higher-order interactions that are coupled with the protein of interest. In this study we generated SIP data fo H3K4me3 and pan-promoter mark. We generated SIP maps in two mammalian cell types – mouse embryonic stem cells (mES) and mouse bone marrow derived dendritic cells.
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Project description:RNA Polymerase II ChIA-PET data has revealed enhancers that are active in a profiled cell type and the genes that the enhancers regulate through chromatin interactions. The most commonly used computational method for analyzing ChIA-PET data, the ChIA-PET Tool, discovers interaction anchors at a spatial resolution that is insufficient to accurately identify individual enhancers. We introduce $Germ$, a computational method that estimates the likelihood that any two narrowly defined genomic locations are jointly occupied by RNA Polymerase II. $Germ$ takes a blind deconvolution approach to simultaneously estimate the likelihood of RNA Polymerase II occupation as well as a model of the arrangement of read alignments relative to locations occupied by RNA Polymerase II. Both types of information are utilized to estimate the likelihood that RNA Polymerase II jointly occupies any two genomic locations. We apply $Germ$ to RNA Polymerase II ChIA-PET data from embryonic stem cells to identify the genomic locations that are jointly occupied along with transcription start sites. We show that these genomic locations align more closely with features of active enhancers measured by ChIP-Seq than the locations identified using the ChIA-PET Tool. We also apply $Germ$ to RNA Polymerase II ChIA-PET data from motor neuron progenitors. Based on the $Germ$ results, we observe that a combination of cell type specific and cell type independent regulatory interactions are utilized by cells to regulate gene expression.
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Project description:Although the locations of promoters and enhancers have been identified in several cell types, we still have limited information on their connectivity. We developed HiCap, which combines a 4-cutter restriction enzyme Hi-C with sequence capture of promoter regions. Applying the method to mouse embryonic stem cells, we identified promoter-anchored interactions involving 15,905 promoters and 71,984 distal regions. The distal regions were enriched for enhancer marks and transcription, and had a mean fragment size of only 699 bp--close to single-enhancer resolution. High-resolution maps of promoter-anchored interactions with HiCap will be important for detailed characterizations of chromatin interaction landscapes.
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Project description:Although the locations of promoters and enhancers have been identified in several cell types, we have yet limited information on their connectivity. We developed HiCap, which combines Hi-C with promoter sequence capture, to enable genome-wide identification of regulatory interactions with single-enhancer resolution. HiCap analyses of mouse embryonic stem cells (mESC) identified promoter-enhancer interactions predictive of gene expression change upon perturbation, opening up for genomic analyses of long-range gene regulation. HiCap was designed by combining Hi-C with with sequence capture (for all promoters) and carried out in mouse embryonic stem cells (mESC)
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