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1.
Genome Biol ; 20(1): 255, 2019 11 28.
Article in English | MEDLINE | ID: mdl-31779666

ABSTRACT

BACKGROUND: 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. RESULTS: To address these questions, we perform Hi-C on lymphoblastoid cell lines from 20 individuals. We identify thousands of regions across the genome where 3D chromatin conformation varies between individuals and find that this variation is often accompanied by variation in gene expression, histone modifications, and transcription factor 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 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. CONCLUSION: 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.


Subject(s)
Base Sequence , Genetic Variation , Genome, Human , Nucleic Acid Conformation , Epigenome , Humans , Quantitative Trait Loci , Transcriptome
2.
Nat Genet ; 51(10): 1442-1449, 2019 10.
Article in English | MEDLINE | ID: mdl-31501517

ABSTRACT

A large number of putative cis-regulatory sequences have been annotated in the human genome, but the genes they control remain poorly defined. To bridge this gap, we generate maps of long-range chromatin interactions centered on 18,943 well-annotated promoters for protein-coding genes in 27 human cell/tissue types. We use this information to infer the target genes of 70,329 candidate regulatory elements and suggest potential regulatory function for 27,325 noncoding sequence variants associated with 2,117 physiological traits and diseases. Integrative analysis of these promoter-centered interactome maps reveals widespread enhancer-like promoters involved in gene regulation and common molecular pathways underlying distinct groups of human traits and diseases.


Subject(s)
Chromatin/metabolism , Gene Expression Regulation , Genome, Human , Promoter Regions, Genetic , Regulatory Sequences, Nucleic Acid , Transcription Factors/metabolism , Chromatin/genetics , Genomics , Humans , Transcription Factors/genetics
4.
Cell Res ; 28(2): 204-220, 2018 Feb.
Article in English | MEDLINE | ID: mdl-29313530

ABSTRACT

Long-range chromatin interactions between enhancers and promoters are essential for transcription of many developmentally controlled genes in mammals and other metazoans. Currently, the exact mechanisms that connect distal enhancers to their specific target promoters remain to be fully elucidated. Here, we show that the enhancer-specific histone H3 lysine 4 monomethylation (H3K4me1) and the histone methyltransferases MLL3 and MLL4 (MLL3/4) play an active role in this process. We demonstrate that in differentiating mouse embryonic stem cells, MLL3/4-dependent deposition of H3K4me1 at enhancers correlates with increased levels of chromatin interactions, whereas loss of this histone modification leads to reduced levels of chromatin interactions and defects in gene activation during differentiation. H3K4me1 facilitates recruitment of the Cohesin complex, a known regulator of chromatin organization, to chromatin in vitro and in vivo, providing a potential mechanism for MLL3/4 to promote chromatin interactions between enhancers and promoters. Taken together, our results support a role for MLL3/4-dependent H3K4me1 in orchestrating long-range chromatin interactions at enhancers in mammalian cells.


Subject(s)
Chromatin/metabolism , Enhancer Elements, Genetic/physiology , Histone-Lysine N-Methyltransferase/metabolism , Histones/metabolism , Animals , Cell Cycle Proteins/metabolism , Cell Differentiation/physiology , Chromosomal Proteins, Non-Histone/metabolism , DNA-Binding Proteins/metabolism , Embryonic Stem Cells/metabolism , Gene Expression/physiology , In Situ Hybridization, Fluorescence , Methylation , Mice , Promoter Regions, Genetic/physiology , SOXB1 Transcription Factors/metabolism , Sequence Analysis, RNA , Cohesins
5.
Nat Methods ; 14(6): 629-635, 2017 Jun.
Article in English | MEDLINE | ID: mdl-28417999

ABSTRACT

Millions of cis-regulatory elements are predicted to be present in the human genome, but direct evidence for their biological function is scarce. Here we report a high-throughput method, cis-regulatory element scan by tiling-deletion and sequencing (CREST-seq), for the unbiased discovery and functional assessment of cis-regulatory sequences in the genome. We used it to interrogate the 2-Mb POU5F1 locus in human embryonic stem cells, and identified 45 cis-regulatory elements. A majority of these elements have active chromatin marks, DNase hypersensitivity, and occupancy by multiple transcription factors, which confirms the utility of chromatin signatures in cis-element mapping. Notably, 17 of them are previously annotated promoters of functionally unrelated genes, and like typical enhancers, they form extensive spatial contacts with the POU5F1 promoter. These results point to the commonality of enhancer-like promoters in the human genome.


Subject(s)
Chromosome Mapping/methods , Genetic Testing/methods , Regulatory Sequences, Nucleic Acid/genetics , Algorithms , Cells, Cultured , Embryonic Stem Cells/physiology , Gene Expression Regulation/genetics , High-Throughput Nucleotide Sequencing , Humans , Sequence Analysis, DNA , Single-Cell Analysis
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