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High resolution 3D chromatin maps of human primary monocytes [Hi-C]

ABSTRACT: High resolution 3D chromatin maps of human primary monocytes [Hi-C]

PROVIDER: PRJNA663570 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR12643315_1.fastq.gz	Fastqsanger.gz
	SRR12643315_2.fastq.gz	Fastqsanger.gz
	SRR12643317_1.fastq.gz	Fastqsanger.gz
	SRR12643317_2.fastq.gz	Fastqsanger.gz
	SRR12643318_1.fastq.gz	Fastqsanger.gz

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High resolution 3D chromatin maps of human primary monocytes [Hi-C]

Project description:Although the Hi-C maps in cultured immune cell has been reported, there still lacks 3D landscape of human primary monocytes. The peripheral blood from two health people and two SLE patients was collected and CD14+ monocytes were selected to perform Hi-C, RNA-seq, ATAC-seq and ChIP-seq. The raw data of THP1 cell Hi-C library was also used in comparison. We firstly presented the 3D genome structure heterogeneity in human primary monocytes. Significantly diversity of chromatin interaction in HLA complex region might regulates many immunologic processes. The chromatin loop regulation around CD16 and its relevant expression pattern indicated the CD16 associated monocyte functions are dominated regulated by this variable TAD boundary.

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High resolution 3D chromatin maps of human primary monocytes

Project description:High resolution 3D chromatin maps of human primary monocytes

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High resolution 3D chromatin maps of human primary monocytes [ChIP-Seq]

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High resolution 3D chromatin maps of human primary monocytes [ATAC-Seq]

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Capturing 3D Chromatin Maps of Human Primary Monocytes: Insights From High-Resolution Hi-C.

Project description:Although the variation in chromatin architecture during adaptive immune responses has been thoroughly investigated, the 3D landscape of innate immunity is still unknown. Herein, chromatin regulation and heterogeneity among human primary monocytes were investigated. Peripheral blood was collected from two healthy persons and two patients with systemic lupus erythematosus (SLE), and CD14+ monocytes were selected to perform Hi-C, RNA-seq, ATAC-seq and ChIP-seq analyses. Raw data from the THP1 cell line Hi-C library were used for comparison. For each sample, we constructed three Hi-C libraries and obtained approximately 3 billion paired-end reads in total. Resolution analysis showed that more than 80% of bins presented depths greater than 1000 at a 5 kb resolution. The constructed high-resolution chromatin interaction maps presented similar landscapes in the four individuals, which showed significant divergence from the THP1 cell line chromatin structure. The variability in chromatin interactions around HLA-D genes in the HLA complex region was notable within individuals. We further found that the CD16-encoding gene (FCGR3A) is located at a variable topologically associating domain (TAD) boundary and that chromatin loop dynamics might modulate CD16 expression. Our results indicate both the stability and variability of high-resolution chromatin interaction maps among human primary monocytes. This work sheds light on the potential mechanisms by which the complex interplay of epigenetics and spatial 3D architecture regulates chromatin in innate immunity.

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Robust Hi-C maps of enhancer-promoter interactions reveal the function of non-coding genome in neural development and diseases

Project description:Genome-wide mapping of chromatin interactions at high resolution remains experimentally and computationally challenging. Here we used a low-input “easy Hi-C” protocol to map the 3D genome architecture in human neurogenesis and brain tissues and also demonstrated that a rigorous Hi-C bias-correction pipeline (HiCorr) can significantly improve the sensitivity and robustness of Hi-C loop identification at sub-TAD level, especially the enhancer-promoter (E-P) interactions. We used HiCorr to compare the high-resolution maps of chromatin interactions from 10 tissue or cell types with a focus on neurogenesis and brain tissues. We found that dynamic chromatin loops are better hallmarks for cellular differentiation than compartment switching. HiCorr allowed direct observation of cell-type- and differentiation-specific E-P aggregates spanning large neighborhoods, suggesting a mechanism that stabilizes enhancer contacts during development. Interestingly, we concluded that Hi-C loop outperforms eQTL in explaining neurological GWAS results, revealing a unique value of high-resolution 3D genome maps in elucidating the disease etiology.

2020-07-31 | GSE116825 | GEO

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