3C-based Methods Research Articles

DNA methylation-based high-resolution mapping of long-distance chromosomal interactions in nucleosome-depleted regions.

3C-based methods have significantly advanced our understanding of 3D genome organization. However, it remains a formidable task to precisely capture long-range chromosomal interactions between individual loci, such as those between promoters and distal enhancers. Here, we present Methyltransferase Targeting-based chromosome Architecture Capture (MTAC), a method that maps the contacts between a target site (viewpoint) and the rest of the genome in budding yeast with high resolution and sensitivity. MTAC detects hundreds of intra- and inter-chromosomal interactions within nucleosome-depleted regions (NDRs) that cannot be captured by 4C, Hi-C, or Micro-C. By applying MTAC to various viewpoints, we find that (1) most long-distance chromosomal interactions detected by MTAC reflect tethering by the nuclear pore complexes (NPCs), (2) genes co-regulated by methionine assemble into inter-chromosomal clusters near NPCs upon activation, (3) mediated by condensin, the mating locus forms a highly specific interaction with the recombination enhancer (RE) in a mating-type specific manner, and (4) correlation of MTAC signals among NDRs reveal spatial mixing and segregation of the genome. Overall, these results demonstrate MTAC as a powerful tool to resolve fine-scale long-distance chromosomal interactions and provide insights into the 3D genome organization.

The 3D genome and its impacts on human health and disease

Abstract Eukaryotic genomes are highly compacted in the cell nucleus. Two loci separated by a long linear distance can be brought into proximity in space through DNA-binding proteins and RNAs, which contributes profoundly to the regulation of gene expression. Recent technology advances have enabled the development and application of the chromosome conformation capture (3C) technique and a host of 3C-based methods that enable genome-scale investigations into changes in chromatin high-order structures during diverse physiological processes and diseases. In this review, we introduce 3C-based technologies and discuss how they can be utilized to glean insights into the impacts of three-dimensional (3D) genome organization in normal physiological and disease processes.

ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data.

MotivationSeveral computational and statistical methods have been developed to analyze data generated through the 3C-based methods, especially the Hi-C. Most of the existing methods do not account for dependency in Hi-C data.ResultsHere, we present ZipHiC, a novel statistical method to explore Hi-C data focusing on the detection of enriched contacts. ZipHiC implements a Bayesian method based on a hidden Markov random field (HMRF) model and the Approximate Bayesian Computation (ABC) to detect interactions in two-dimensional space based on a Hi-C contact frequency matrix. ZipHiC uses data on the sources of biases related to the contact frequency matrix, allows borrowing information from neighbours using the Potts model and improves computation speed using the ABC model. In addition to outperforming existing tools on both simulated and real data, our model also provides insights into different sources of biases that affects Hi-C data. We show that some datasets display higher biases from DNA accessibility or Transposable Elements content. Furthermore, our analysis in Drosophila melanogaster showed that approximately half of the detected significant interactions connect promoters with other parts of the genome indicating a functional biological role. Finally, we found that the micro-C datasets display higher biases from DNA accessibility compared to a similar Hi-C experiment, but this can be corrected by ZipHiC.Availability and implementationThe R scripts are available at https://github.com/igosungithub/HMRFHiC.git.Supplementary information Supplementary data are available at Bioinformatics online.

Organization of the Pluripotent Genome.

In the past several decades, the establishment of in vitro models of pluripotency has ushered in a golden era for developmental and stem cell biology. Research in this arena has led to profound insights into the regulatory features that shape early embryonic development. Nevertheless, an integrative theory of the epigenetic principles that govern the pluripotent nucleus remains elusive. Here, we summarize the epigenetic characteristics that define the pluripotent state. We cover what is currently known about the epigenome of pluripotent stem cells and reflect on the use of embryonic stem cells as an experimental system. In addition, we highlight insights from super-resolution microscopy, which have advanced our understanding of the form and function of chromatin, particularly its role in establishing the characteristically "open chromatin" of pluripotent nuclei. Further, we discuss the rapid improvements in 3C-based methods, which have given us a means to investigate the 3D spatial organization of the pluripotent genome. This has aided the adaptation of prior notions of a "pluripotent molecular circuitry" into a more holistic model, where hotspots of co-interacting domains correspond with the accumulation of pluripotency-associated factors. Finally, we relate these earlier hypotheses to an emerging model of phase separation, which posits that a biophysical mechanism may presuppose the formation of a pluripotent-state-defining transcriptional program.

Resolving the 3D Landscape of Transcription-Linked Mammalian Chromatin Folding

Whereas folding of genomes at the large scale of epigenomic compartments and topologically associating domains (TADs) is now relatively well understood, how chromatin is folded at finer scales remains largely unexplored in mammals. Here, we overcome some limitations of conventional 3C-based methods by using high-resolution Micro-C to probe links between 3D genome organization and transcriptional regulation in mouse stem cells. Combinatorial binding of transcription factors, cofactors, and chromatin modifiers spatially segregates TAD regions into various finer-scale structures with distinct regulatory features including stripes, dots, and domains linking promoters-to-promoters (P-P) or enhancers-to-promoters (E-P) and bundle contacts between Polycomb regions. E-P stripes extending from the edge of domains predominantly link co-expressed loci, often in the absence of CTCF and cohesin occupancy. Acute inhibition of transcription disrupts these gene-related folding features without altering higher-order chromatin structures. Our study uncovers previously obscured finer-scale genome organization, establishing functional links between chromatin folding and gene regulation.

High-resolution genetic mapping of putative causal interactions between regions of open chromatin.

Physical interaction of regulatory elements in three-dimensional space poses a challenge for studies of disease because noncoding risk variants may be substantial distances from the genes they regulate. Experimental methods to capture these interactions, such as chromosome conformation capture (3C), usually cannot assign causal direction of effect between regulatory elements, an important component of disease fine-mapping. We developed a Bayesian hierarchical approach that uses two-stage least squares and applied it to a novel set of ATAC-seq from 100 individuals, to identify over 15,000 high confidence causal interactions. Most (60%) interactions occurred over <20Kb, where 3C-based methods perform poorly. For a fraction of loci, we identified a single variant that alters accessibility across multiple regions, and experimentally validated the BLK locus associated with multiple autoimmune diseases using CRISPR genome editing. Our study highlights how association genetics of chromatin state is a powerful approach for identifying interactions between regulatory elements.

Polymer model predicts chromatin folding.

3C-based methods and polymer modeling indentify the impact of structural variants.

4Cin: A computational pipeline for 3D genome modeling and virtual Hi-C analyses from 4C data.

The use of 3C-based methods has revealed the importance of the 3D organization of the chromatin for key aspects of genome biology. However, the different caveats of the variants of 3C techniques have limited their scope and the range of scientific fields that could benefit from these approaches. To address these limitations, we present 4Cin, a method to generate 3D models and derive virtual Hi-C (vHi-C) heat maps of genomic loci based on 4C-seq or any kind of 4C-seq-like data, such as those derived from NG Capture-C. 3D genome organization is determined by integrative consideration of the spatial distances derived from as few as four 4C-seq experiments. The 3D models obtained from 4C-seq data, together with their associated vHi-C maps, allow the inference of all chromosomal contacts within a given genomic region, facilitating the identification of Topological Associating Domains (TAD) boundaries. Thus, 4Cin offers a much cheaper, accessible and versatile alternative to other available techniques while providing a comprehensive 3D topological profiling. By studying TAD modifications in genomic structural variants associated to disease phenotypes and performing cross-species evolutionary comparisons of 3D chromatin structures in a quantitative manner, we demonstrate the broad potential and novel range of applications of our method.

Long-read ChIA-PET for base-pair-resolution mapping of haplotype-specific chromatin interactions.

Chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) is a robust method for capturing genome-wide chromatin interactions. Unlike other 3C-based methods, it includes a chromatin immunoprecipitation (ChIP) step that enriches for interactions mediated by specific target proteins. This unique feature allows ChIA-PET to provide the functional specificity and higher resolution needed to detect chromatin interactions, which chromosome conformation capture (3C)/Hi-C approaches have not achieved. The original ChIA-PET protocol generates short paired-end tags (2 × 20 base pairs (bp)) to detect two genomic loci that are far apart on linear chromosomes but are in spatial proximity in the folded genome. We have improved the original approach by developing long-read ChIA-PET, in which the length of the paired-end tags is increased (up to 2 × 250 bp). The longer PET reads not only improve the tag-mapping efficiency but also increase the probability of covering phased single-nucleotide polymorphisms (SNPs), which allows haplotype-specific chromatin interactions to be identified. Here, we provide the detailed protocol for long-read ChIA-PET that includes cell fixation and lysis, chromatin fragmentation by sonication, ChIP, proximity ligation with a bridge linker, Tn5 tagmentation, PCR amplification and high-throughput sequencing. For a well-trained molecular biologist, it typically takes 6 d from cell harvesting to the completion of library construction, up to a further 36 h for DNA sequencing and <20 h for processing of raw sequencing reads.

Modelling genome-wide topological associating domains in mouse embryonic stem cells

Chromosome conformation capture (3C)-based techniques such as chromosome conformation capture carbon copy (5C) and Hi-C revealed that the folding of mammalian chromosomes is highly hierarchical. A fundamental structural unit in the hierarchy is represented by topologically associating domains (TADs), sub-megabase regions of the genome within which the chromatin fibre preferentially interacts. 3C-based methods provide the mean contact probabilities between chromosomal loci, averaged over a large number of cells, and do not give immediate access to the single-cell conformations of the chromatin fibre. However, coarse-grained polymer models based on 5C data can be used to extract the single-cell conformations of single TADs. Here, we extend this approach to analyse around 2500 TADs in murine embryonic stem cells based on high-resolution Hi-C data. This allowed to predict the cell-to-cell variability in single contacts within genome-wide TADs and correlations between them. Based on these results, we predict that TADs are more similar to ideal chains than to globules in terms of their physical size and three-dimensional shape distribution. Furthermore, we show that their physical size and the degree of structural anisotropy of single TADs are correlated with the level of transcriptional activity of the genes that it harbours. Finally, we show that a large number of multiplets of genomic loci co-localize more often than expected by random, and these loci are particularly enriched in promoters, enhancers and CTCF-bound sites. These results provide the first genome-wide structural reconstruction of TADs using polymeric models obeying the laws of thermodynamics and reveal important universal trends in the correlation between chromosome structure and transcription.

Exploiting native forces to capture chromosome conformation in mammalian cell nuclei.

Mammalian interphase chromosomes fold into a multitude of loops to fit the confines of cell nuclei, and looping is tightly linked to regulated function. Chromosome conformation capture (3C) technology has significantly advanced our understanding of this structure‐to‐function relationship. However, all 3C‐based methods rely on chemical cross‐linking to stabilize spatial interactions. This step remains a “black box” as regards the biases it may introduce, and some discrepancies between microscopy and 3C studies have now been reported. To address these concerns, we developed “i3C”, a novel approach for capturing spatial interactions without a need for cross‐linking. We apply i3C to intact nuclei of living cells and exploit native forces that stabilize chromatin folding. Using different cell types and loci, computational modeling, and a methylation‐based orthogonal validation method, “TALE‐iD”, we show that native interactions resemble cross‐linked ones, but display improved signal‐to‐noise ratios and are more focal on regulatory elements and CTCF sites, while strictly abiding to topologically associating domain restrictions.

Developing bioimaging and quantitative methods to study 3D genome

The recent advances in chromosome configuration capture (3C)‐based series molecular methods and optical super‐resolution (SR) techniques offer powerful tools to investigate three dimensional (3D) genomic structure in prokaryotic and eukaryotic cell nucleus. In this review, we focus on the progress during the last decade in this exciting field. Here we at first introduce briefly genome organization at chromosome, domain and sub‐domain level, respectively; then we provide a short introduction to various super‐resolution microscopy techniques which can be employed to detect genome 3D structure. We also reviewed the progress of quantitative and visualization tools to evaluate and visualize chromatin interactions in 3D genome derived from Hi‐C data. We end up with the discussion that imaging methods and 3C‐based molecular methods are not mutually exclusive ‐ ‐ ‐ ‐ actually they are complemental to each other and can be combined together to study 3D genome organization.

Exploring the mechanisms of genome-wide long-range interactions: interpreting chromosome organization.

Developments in chromosome conformation capture (3C) technologies have revealed that the three-dimensional organization of a genome leads widely separated functional elements to reside in close proximity. However, the mechanisms responsible for mediating long-range interactions are still not completely known. In this review, we firstly evaluate and compare the current seven 3C-based methods, summarize their advantages and discuss their limitations to our current understanding of genome structure. Then, software packages available to perform the analysis of 3C-based data are described. Moreover, we review the insights into the two main mechanisms of long-range interactions, which regulate gene expression by bringing together promoters and distal regulatory elements and by creating structural domains that contain functionally related genes with similar expression landscape. At last, we summarize what is known about the mediating factors involved in stimulation/repression of long-range interactions, such as transcription factors and noncoding RNAs.

C-ing the Genome: A Compendium of Chromosome Conformation Capture Methods to Study Higher-Order Chromatin Organization.

Three-dimensional organization of the chromatin has important roles in transcription, replication, DNA repair, and pathologic events such as translocations. There are two fundamental ways to study higher-order chromatin organization: microscopic and molecular approaches. In this review, we briefly introduce the molecular approaches, focusing on chromosome conformation capture or "3C" technology and its derivatives, which can be used to probe chromatin folding at resolutions beyond that provided by microscopy techniques. We further discuss the different types of data generated by the 3C-based methods and how they can be used to answer distinct biological questions.

Can chromatin conformation technologies bring light into human molecular pathology?

Regulation of gene expression in eukaryotes involves many complex processes, in which chromatin structure plays an important role. In addition to the epigenetic effects, such as DNA methylation and phosphorylation or histone modifications, gene expression is also controlled by the spatial organization of chromatin. For example, distant regulatory elements (enhancers, insulators) may come into direct physical interaction with target genes or other regulatory elements located in genomic regions of up to several hundred kilobases in size. Such long-range interactions result in the formation of chromatin loops. In the last several years, there has been a rapid increase in our knowledge of the spatial organization of chromatin in the nucleus through the chromosome conformation capture (3C) technology. Here we review and compare the original 3C and 3C-based methods including chromosome conformation capture-on-chip (4C), chromosome conformation capture carbon copy (5C), hi-resolution chromosome confomation capture (HiC). In this article, we discuss different aspects of how the nuclear organization of chromatin is associated with gene expression regulation and how this knowledge is useful in translational medicine and clinical applications. We demonstrate that the knowledge of the chromatin 3D organization may help understand the mechanisms of gene expression regulation of genes involved in the development of human diseases, such as CFTR (responsible for cystic fibrosis) or IGFBP3 (associated with breast cancer pathogenesis). Additionally, 3C-derivative methods have been also useful in the diagnosis of some leukemia subtypes.

A decade of 3C technologies: insights into nuclear organization.

Over the past 10 years, the development of chromosome conformation capture (3C) technology and the subsequent genomic variants thereof have enabled the analysis of nuclear organization at an unprecedented resolution and throughput. The technology relies on the original and, in hindsight, remarkably simple idea that digestion and religation of fixed chromatin in cells, followed by the quantification of ligation junctions, allows for the determination of DNA contact frequencies and insight into chromosome topology. Here we evaluate and compare the current 3C-based methods (including 4C [chromosome conformation capture-on-chip], 5C [chromosome conformation capture carbon copy], HiC, and ChIA-PET), summarize their contribution to our current understanding of genome structure, and discuss how shape influences genome function.

3C-based methods to detect long-range chromatin interactions.

Transcriptional regulatory regions are often located several thousand bases from the gene that they control. To function, the chromatin strand forms loops to juxtapose distal regions with the promoter. These long-range chromatin interactions have profound influences on the regulation of gene expression and mapping these interactions is currently a subject of intensive investigation. Chromosome conformation capture (3C) technology and its derivatives have been widely used to detect chromatin interactions and greatly contributed to understanding of the relationship between genome organization and genome function. Here we review these 3C-based methods for the study of long-range chromatin interactions and recent exciting findings obtained by using these technologies.

Chromosome Conformation Capture (3C) and 3C-based Methods

Chromosome conformation is thought to play an important role in gene expression regulation. Chromosome conformation capture (3C), circular chromosome conformation capture (4C), 3C-carbon copy (5C), ChIP-loop assay, ChIA-PET and Hi-C method were developed to study spatial organization of long genomic regions in living cells. All steps of 3C, those 3C-based methods and key procedures in experiment were also discussed. The aim of this paper is to introduce some new methods to study gene regulation in 3D.

An evaluation of 3C-based methods to capture DNA interactions

The shape of the genome is thought to play an important part in the coordination of transcription and other DNA-metabolic processes. Chromosome conformation capture (3C) technology allows us to analyze the folding of chromatin in the native cellular state at a resolution beyond that provided by current microscopy techniques. It has been used, for example, to demonstrate that regulatory DNA elements communicate with distant target genes through direct physical interactions that loop out the intervening chromatin fiber. Here we discuss the intricacies of 3C and new 3C-based methods including the 4C, 5C and ChIP-loop assay.