James Fraser

Complexity of chromatin folding is captured by the strings and binders switch model

Chromatin has a complex spatial organization in the cell nucleus that serves vital functional purposes. A variety of chromatin folding conformations has been detected by single-cell imaging and chromosome conformation capture-based approaches. However, a unified quantitative framework describing spatial chromatin organization is still lacking. Here, we explore the “strings and binders switch” model to explain the origin and variety of chromatin behaviors that coexist and dynamically change within living cells. This simple polymer model recapitulates the scaling properties of chromatin folding reported experimentally in different cellular systems, the fractal state of chromatin, the processes of domain formation, and looping out. Additionally, the strings and binders switch model reproduces the recently proposed “fractal–globule” model, but only as one of many possible transient conformations.

Hierarchical folding and reorganization of chromosomes are linked to transcriptional changes in cellular differentiation

Mammalian chromosomes fold into arrays of megabase‐sized topologically associating domains (TADs), which are arranged into compartments spanning multiple megabases of genomic DNA. TADs have internal substructures that are often cell type specific, but their higher‐order organization remains elusive. Here, we investigate TAD higher‐order interactions with Hi‐C through neuronal differentiation and show that they form a hierarchy of domains‐within‐domains (metaTADs) extending across genomic scales up to the range of entire chromosomes. We find that TAD interactions are well captured by tree‐like, hierarchical structures irrespective of cell type. metaTAD tree structures correlate with genetic, epigenomic and expression features, and structural tree rearrangements during differentiation are linked to transcriptional state changes. Using polymer modelling, we demonstrate that hierarchical folding promotes efficient chromatin packaging without the loss of contact specificity, highlighting a role far beyond the simple need for packing efficiency.

Repurposing CRISPR/Cas9 for in situ functional assays

RNAi combined with next-generation sequencing has proven to be a powerful and cost-effective genetic screening platform in mammalian cells. Still, this technology has its limitations and is incompatible with in situ mutagenesis screens on a genome-wide scale. Using p53 as a proof-of-principle target, we readapted the CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 (CRISPR associated 9) genome-editing system to demonstrate the feasibility of this methodology for targeted gene disruption positive selection assays. By using novel all-in-one lentiviral and retroviral delivery vectors heterologously expressing both a codon-optimized Cas9 and its synthetic guide RNA (sgRNA), we show robust selection for the CRISPR-modified Trp53 locus following drug treatment. Furthermore, by linking Cas9 expression to GFP fluorescence, we use an all-in-one system to track disrupted Trp53 in chemoresistant lymphomas in the Eμ-myc mouse model. Deep sequencing analysis of the tumor-derived endogenous Cas9-modified Trp53 locus revealed a wide spectrum of mutants that were enriched with seemingly limited off-target effects. Taken together, these results establish Cas9 genome editing as a powerful and practical approach for positive in situ genetic screens.

Chromatin conformation signatures of cellular differentiation

One of the major genomics challenges is to better understand how correct gene expression is orchestrated. Recent studies have shown how spatial chromatin organization is critical in the regulation of gene expression. Here, we developed a suite of computer programs to identify chromatin conformation signatures with 5C technology http://Dostielab.biochem.mcgill.ca. We identified dynamic HoxA cluster chromatin conformation signatures associated with cellular differentiation. Genome-wide chromatin conformation signature identification might uniquely identify disease-associated states and represent an entirely novel class of human disease biomarkers.

An Overview of Genome Organization and How We Got There: from FISH to Hi-C

SUMMARY In humans, nearly two meters of genomic material must be folded to fit inside each micrometer-scale cell nucleus while remaining accessible for gene transcription, DNA replication, and DNA repair. This fact highlights the need for mechanisms governing genome organization during any activity and to maintain the physical organization of chromosomes at all times. Insight into the functions and three-dimensional structures of genomes comes mostly from the application of visual techniques such as fluorescence in situ hybridization (FISH) and molecular approaches including chromosome conformation capture (3C) technologies. Recent developments in both types of approaches now offer the possibility of exploring the folded state of an entire genome and maybe even the identification of how complex molecular machines govern its shape. In this review, we present key methodologies used to study genome organization and discuss what they reveal about chromosome conformation as it relates to transcription regulation across genomic scales in mammals.

Computing Chromosome Conformation

The Chromosome Conformation Capture (3C) and 3C-related technologies are used to measure physical contacts between DNA segments at high resolution in vivo. 3C studies indicate that genomes are likely organized into dynamic networks of physical contacts between genes and regulatory DNA elements. These interactions are mediated by proteins and are important for the regulation of genes. For these reasons, mapping physical connectivity networks with 3C-related approaches will be essential to fully understand how genes are regulated. The 3C-Carbon Copy (5C) technology can be used to measure chromatin contacts genome-scale within (cis) or between (trans) chromosomes. Although unquestionably powerful, this approach can be challenging to implement without proper understanding and application of publicly available bioinformatics tools. This chapter explains how 5C studies are performed and describes stepwise how to use currently available bioinformatics tools for experimental design, data analysis, and interpretation.

A polymer model explains the complexity of large-scale chromatin folding

The underlying global organization of chromatin within the cell nucleus has been the focus of intense recent research. Hi-C methods have allowed for the detection of genome-wide chromatin interactions, revealing a complex large-scale organization where chromosomes tend to partition into megabase-sized “topological domains” of local chromatin interactions and intra-chromosomal contacts extends over much longer scales, in a cell-type and chromosome specific manner. Until recently, the distinct chromatin folding properties observed experimentally have been difficult to explain in a single conceptual framework. We reported that a simple polymer-physics model of chromatin, the strings and binders switch (SBS) model, succeeds in describing the full range of chromatin configurations observed in vivo. The SBS model simulates the interactions between randomly diffusing binding molecules and binding sites on a polymer chain. It explains how polymer architectural patterns can be established, how different stable conformations can be produced and how conformational changes can be reliably regulated by simple strategies, such as protein upregulation or epigenetic modifications, via fundamental thermodynamics mechanisms.

A model of the large-scale organization of chromatin.

In the cell nucleus, chromosomes have a complex spatial organization, spanning several length scales, which serves vital functional purposes. It is unknown, however, how their three-dimensional architecture is orchestrated. In the present article, we review the application of a model based on classical polymer physics, the strings and binders switch model, to explain the molecular mechanisms of chromatin self-organization. We explore the scenario where chromatin architecture is shaped and regulated by the interactions of chromosomes with diffusing DNA-binding factors via thermodynamics mechanisms and compare it with available experimental data.

A Torrent of Data: Mapping Chromatin Organization Using 5C and High-Throughput Sequencing

The study of three-dimensional genome organization is an exciting research area, which has benefited from the rapid development of high-resolution molecular mapping techniques over the past decade. These methods are derived from the chromosome conformation capture (3C) technique and are each aimed at improving some aspect of 3C. All 3C technologies use formaldehyde fixation and proximity-based ligation to capture chromatin contacts in cell populations and consider in vivo spatial proximity more or less inversely proportional to the frequency of measured interactions. The 3C-carbon copy (5C) method is among the most quantitative of these approaches. 5C is extremely robust and can be used to study chromatin organization at various scales. Here, we present a modified 5C analysis protocol adapted for sequencing with an Ion Torrent Personal Genome Machine™ (PGM™). We explain how Torrent 5C libraries are produced and sequenced. We also describe the statistical and computational methods we developed to normalize and analyze raw Torrent 5C sequence data. The Torrent 5C protocol should facilitate the study of in vivo chromatin architecture at high resolution because it benefits from high accuracy, greater speed, low running costs, and the flexibility of in-house next-generation sequencing.

Mapping and Visualizing Spatial Genome Organization

Non-random genome organization and its correlation with various nuclear activities point to the existence of functional chromatin folding and positioning patterns. The importance of genome architecture is highlighted in disease states where altered chromatin organization can be found. These studies have provided insight into what regulates genome architecture and how this contributes to human disease. While much progress has been made towards defining chromosome organization in various cell types and states, the functional consequences of organization patterns remain poorly understood. The impact of chromatin folding and position within the nucleus appears to depend on nuclear context and neighbouring sequences. Thus, to understand the relevance of chromosome position and movement with respect to transcription and other activities, chromatin organization must be mapped across genomic scales in various nuclear contexts. Several techniques are available to map chromosome folding at high-resolution. These include the family of chromosome conformation capture (3C) technologies, which use the frequency of chromatin contacts as a measure of physical proximity. The 3C techniques differ in their genomic coverage with the genome-wide approaches relying more extensively on informatics to organize and visualize chromosome architecture. This book chapter provides an overview of the 3C technologies and explains how the data is used to infer genome organization.