98% of the DNA in our body is non-coding, i.e. does not carry the information needed to build proteins. Non-coding has sometimes been equated with ‘non-functional’, or called ‘junk’ in the past; today we know that this is far from the truth. Scattered throughout non-coding DNA is a plethora of so-called regulatory elements, including enhancers, silencers and insulators. These regulatory elements function like molecular switches to control which genes are active (and thus produce proteins) in which cells. This process of gene expression control is vital to allow cells – which all contain the same genes – to specialise to carry out different tasks, and to help them respond to changes.
Enhancers are a type of regulatory element that control gene expression over long distances. They contact their target genes via chromosomal interactions, often bridging large distances in the genome, with the intervening DNA ‘looping out’. To understand how enhancers work, we study them in the context of the three-dimensional organisation of the genome. Our aim is to find regulatory elements and to understand which genes they control. We also aim to uncover the molecular mechanisms by which regulatory elements find their target genes in the three-dimensional space of the cell nucleus, and to understand how altering the function of regulatory elements can lead to developmental malformations and disease. We study these questions in pluripotent stem cells – cells that have the potential to create all cell types in the adult body. We use a combination of molecular, genetic, biochemical and imaging approaches to study pluripotent stem cells in their ‘ground state’, and when they start to form new cell types – a process called cell lineage specification.
Through high-resolution mapping and experimental perturbation of the spatial genome architecture, we aim to reveal gene regulatory principles that underpin cell states and cell fate transitions. This may ultimately pave the way for us to experimentally engineer 3D genome folding to achieve predictable outcomes on gene expression and cell fate choice, with potential implications for gene therapy and regenerative medicine.
HMGA1 is an abundant non-histone chromatin protein that has been implicated in embryonic development, cancer, and cellular senescence, but its specific role remains elusive. Here, we combine functional genomics approaches with graph theory to investigate how HMGA1 genomic deposition controls high-order chromatin networks in an oncogene-induced senescence model. While the direct role of HMGA1 in gene activation has been described previously, we find little evidence to support this. Instead, we show that the heterogeneous linear distribution of HMGA1 drives a specific 3D chromatin organization. HMGA1-dense loci form highly interactive networks, similar to, but independent of, constitutive heterochromatic loci. This, coupled with the exclusion of HMGA1-poor chromatin regions, leads to coordinated gene regulation through the repositioning of genes. In the absence of HMGA1, the whole process is largely reversed, but many regulatory interactions also emerge, amplifying the inflammatory senescence-associated secretory phenotype. Such HMGA1-mediated fine-tuning of gene expression contributes to the heterogeneous nature of senescence at the single-cell level. A similar 'buffer' effect of HMGA1 on inflammatory signalling is also detected in lung cancer cells. Our study reveals a mechanism through which HMGA1 modulates chromatin compartmentalization and gene regulation in senescence and beyond.
To produce a diverse antibody repertoire, immunoglobulin heavy-chain (Igh) loci undergo large-scale alterations in structure to facilitate juxtaposition and recombination of spatially separated variable (V), diversity (D), and joining (J) genes. These chromosomal alterations are poorly understood. Uncovering their patterns shows how chromosome dynamics underpins antibody diversity. Using tiled Capture Hi-C, we produce a comprehensive map of chromatin interactions throughout the 2.8-Mb Igh locus in progenitor B cells. We find that the Igh locus folds into semi-rigid subdomains and undergoes flexible looping of the V genes to its 3' end, reconciling two views of locus organization. Deconvolution of single Igh locus conformations using polymer simulations identifies thousands of different structures. This heterogeneity may underpin the diversity of V(D)J recombination events. All three immunoglobulin loci also participate in a highly specific, developmentally regulated network of interchromosomal interactions with genes encoding B cell-lineage factors. This suggests a model of interchromosomal coordination of B cell development.
There is widespread interest in the three-dimensional chromatin conformation of the genome and its impact on gene expression. However, these studies frequently do not consider parent-of-origin differences, such as genomic imprinting, which result in monoallelic expression. In addition, genome-wide allele-specific chromatin conformation associations have not been extensively explored. There are few accessible bioinformatic workflows for investigating allelic conformation differences and these require pre-phased haplotypes which are not widely available.