The three dimensional structure of the human genome is known to play a critical role in gene function and expression. I used chromosome conformation capture (3C) and 3C-carbon copy (5C) techniques to investigate the three-dimensional structure of the cystic fibrosis transmembrane conductance regulator (CFTR) locus. This is an important disease gene that, when mutated, causes cystic fibrosis. 3C experiments identified four distinct looping elements that contact the CFTR gene promoter only in CFTR-expressing cells. Using 5C, I expanded the region of study to a 2.8 Mb region surrounding the CFTR gene. The 5C study shows 7 clear topologically associating domains (TADs) present at the locus, identical in all five cell lines tested, regardless of gene expression status. CFTR and all its known regulatory elements are contained within one TAD, suggesting TADs play a role in constraining promoters to a local search space. The four looping elements identified in the 3C experiment and confirmed in the 5C experiment were then tested for enhancer activity using a luciferase assay, which showed that elements III and IV could act as enhancers. These elements were tested against a library of human transcription factors in a yeast one-hybrid assay to identify potential binding proteins. Element III gave two strong candidates, TCF4 and LEF1. A literature search supported these transcription factors as playing a role in CFTR gene expression. Overall, this work represents a model locus that can be used to test important questions regarding the role of three dimensional looping on gene expression.

Chromosome Conformation Capture, or 3C, is a pioneering method for investigating the three-dimensional structure of chromatin. 3C is used to analyze long-range looping interactions between any pair of selected genomic loci. Most 3C studies focus on defined genomic regions of interest that can be up to several hundred Kb in size. The method has become widely adopted and has been modified to increase throughput to allow unbiased genome-wide analysis. These large-scale adaptations are presented in other articles in this issue of Methods. Here we describe the 3C procedure in detail, including the appropriate use of the technology, the experimental set-up, an optimized protocol and troubleshooting guide, and considerations for data analysis. The protocol described here contains previously unpublished improvements, which save time and reduce labor. We pay special attention to primer design, appropriate controls and data analysis. We include notes and discussion based on our extensive experience to help researchers understand the principles of 3C-based techniques and to avoid common pitfalls and mistakes. This paper represents a complete resource and detailed guide for anyone who desires to perform 3C.

Identification of regulatory elements and their target genes is complicated by the fact that regulatory elements can act over large genomic distances. Identification of long-range acting elements is particularly important in the case of disease genes as mutations in these elements can result in human disease. It is becoming increasingly clear that long-range control of gene expression is facilitated by chromatin looping interactions. These interactions can be detected by chromosome conformation capture (3C). Here, we employed 3C as a discovery tool for identification of long-range regulatory elements that control the cystic fibrosis transmembrane conductance regulator gene, CFTR. We identified four elements in a 460-kb region around the locus that loop specifically to the CFTR promoter exclusively in CFTR expressing cells. The elements are located 20 and 80 kb upstream; and 109 and 203 kb downstream of the CFTR promoter. These elements contain DNase I hypersensitive sites and histone modification patterns characteristic of enhancers. The elements also interact with each other and the latter two activate the CFTR promoter synergistically in reporter assays. Our results reveal novel long-range acting elements that control expression of CFTR and suggest that 3C-based approaches can be used for discovery of novel regulatory elements.