Three-Dimensional Folding and Functional Organization Principles of the Drosophila Genome

https://www.cell.com/cell/pdf/S0092-8674(09)00699-0.pdf

CTCF: Master Weaver of the Genome

The vast non-coding portion of the human genome is full of functional elements and disease-causing regulatory variants. The principles defining the relationships between these elements and distal target genes remain unknown. Promoters and distal elements can engage in looping interactions that have been implicated in gene regulation. Here we have applied chromosome conformation capture carbon copy (5C) to interrogate comprehensively interactions between transcription start sites (TSSs) and distal elements in 1% of the human genome representing the ENCODE pilot project regions. 5C maps were generated for GM12878, K562 and HeLa-S3 cells and results were integrated with data from the ENCODE consortium. In each cell line we discovered >1,000 long-range interactions between promoters and distal sites that include elements resembling enhancers, promoters and CTCF-bound sites. We observed significant correlations between gene expression, promoter-enhancer interactions and the presence of enhancer RNAs. Long-range interactions show marked asymmetry with a bias for interactions with elements located ∼120 kilobases upstream of the TSS. Long-range interactions are often not blocked by sites bound by CTCF and cohesin, indicating that many of these sites do not demarcate physically insulated gene domains. Furthermore, only ∼7% of looping interactions are with the nearest gene, indicating that genomic proximity is not a simple predictor for long-range interactions. Finally, promoters and distal elements are engaged in multiple long-range interactions to form complex networks. Our results start to place genes and regulatory elements in three-dimensional context, revealing their functional relationships.

/pdf/the-long-range-interaction-landscape-of-gene-promoters-dhq9ea58dh.pdf

The long-range interaction landscape of gene promoters

The compilation of multiple metazoan genome sequences and the deluge of large-scale expression data have combined to motivate the maturation of bioinformatics methods for the analysis of sequences that regulate gene transcription. Historically, these bioinformatics methods have been plagued by poor predictive specificity, but new bioinformatics algorithms that accelerate the identification of regulatory regions are drawing disgruntled users back to their keyboards. However, these new approaches and software are not without problems. Here, we introduce the purpose and mechanisms of the leading algorithms, with a particular emphasis on metazoan sequence analysis. We identify key issues that users should take into consideration in interpreting the results and provide an online training example to help researchers who wish to test online tools before taking an independent foray into the bioinformatics of transcription regulation.

Applied bioinformatics for the identification of regulatory elements

Physical interactions between genetic elements located throughout the genome play important roles in gene regulation and can be identified with the Chromosome Conformation Capture (3C) methodology. 3C converts physical chromatin interactions into specific ligation products, which are quantified individually by PCR. Here we present a high-throughput 3C approach, 3C-Carbon Copy (5C), that employs microarrays or quantitative DNA sequencing using 454-technology as detection methods. We applied 5C to analyze a 400-kb region containing the human beta-globin locus and a 100-kb conserved gene desert region. We validated 5C by detection of several previously identified looping interactions in the beta-globin locus. We also identified a new looping interaction in K562 cells between the beta-globin Locus Control Region and the gamma-beta-globin intergenic region. Interestingly, this region has been implicated in the control of developmental globin gene switching. 5C should be widely applicable for large-scale mapping of cis- and trans- interaction networks of genomic elements and for the study of higher-order chromosome structure.

/pdf/chromosome-conformation-capture-carbon-copy-5c-a-massively-50ux78xj97.pdf

Chromosome Conformation Capture Carbon Copy (5C): A massively parallel solution for mapping interactions between genomic elements

Efficient transcription of genes requires a high local concentration of the relevant trans-acting factors. Nuclear compartmentalization can provide an effective means to locally increase the concentration of rapidly moving trans-acting factors; this may be achieved by spatial clustering of chromatin-associated binding sites for such factors. Here we analyze the structure of an erythroid-specific spatial cluster of cis-regulatory elements and active beta-globin genes, the active chromatin hub (ACH; ref. 6), at different stages of development and in erythroid progenitors. We show, in mice and humans, that a core ACH is developmentally conserved and consists of the hypersensitive sites (HS1-HS6) of the locus control region (LCR), the upstream 5' HS-60/-62 and downstream 3' HS1. Globin genes switch their interaction with this cluster during development, correlating with the switch in their transcriptional activity. In mouse erythroid progenitors that are committed to but do not yet express beta-globin, only the interactions between 5' HS-60/-62, 3' HS1 and hypersensitive sites at the 5' side of the LCR are stably present. After induction of differentiation, these sites cluster with the rest of the LCR and the gene that is activated. We conclude that during erythroid differentiation, cis-regulatory DNA elements create a developmentally conserved nuclear compartment dedicated to RNA polymerase II transcription of beta-globin genes.

Rian Nijmeijer

Papers

The beta-globin nuclear compartment in development and erythroid differentiation.