The spatial organization of DNA in the cell nucleus is an emerging key contributor to genomic function. We developed 4C technology (chromosome conformation capture (3C)-on-chip), which allows for an unbiased genome-wide search for DNA loci that contact a given locus in the nuclear space. We demonstrate here that active and inactive genes are engaged in many long-range intrachromosomal interactions and can also form interchromosomal contacts. The active beta-globin locus in fetal liver preferentially contacts transcribed, but not necessarily tissue-specific, loci elsewhere on chromosome 7, whereas the inactive locus in fetal brain contacts different transcriptionally silent loci. A housekeeping gene in a gene-dense region on chromosome 8 forms long-range contacts predominantly with other active gene clusters, both in cis and in trans, and many of these intra- and interchromosomal interactions are conserved between the tissues analyzed. Our data demonstrate that chromosomes fold into areas of active chromatin and areas of inactive chromatin and establish 4C technology as a powerful tool to study nuclear architecture.

Chromosome conformation capture (3C) technology is a pioneering methodology that allows in vivo genomic organization to be explored at a scale encompassing a few tens to a few hundred kilobase-pairs. Understanding the folding of the genome at this scale is particularly important in mammals where dispersed regulatory elements, like enhancers or insulators, are involved in gene regulation. 3C technology involves formaldehyde fixation of cells, followed by a polymerase chain reaction (PCR)-based analysis of the frequency with which pairs of selected DNA fragments are crosslinked in the population of cells. Accurate measurements of crosslinking frequencies require the best quantification techniques. We recently adapted the real-time TaqMan PCR technology to the analysis of 3C assays, resulting in a method that more accurately determines crosslinking frequencies than current semiquantitative 3C strategies that rely on measuring the intensity of ethidium bromide-stained PCR products separated by gel electrophoresis. Here, we provide a detailed protocol for this method, which we have named 3C-qPCR. Once preliminary controls and optimizations have been performed, the whole procedure (3C assays and quantitative analyses) can be completed in 7-9 days. INTRODUCTIONInsight into genomic organization is key to understanding gene regulation in mammals. However, owing to technical limitations, we still have little idea about how the mammalian genome is structured in vivo at the scale at which long-range physical interactions between genes and dispersed regulatory elements most often take place (1-10 3 kbp). The recent development of the ''Tagging and recovery of associated proteins'' 1 and 3C (see ref.2) assays allowed the very first glimpse into this crucial level of organization of the genome 3-5 . However, the RNA-TRAP technique, which is based on the targeting of peroxidase activity to nascent transcripts, is restricted to physical interactions occurring with actively transcribed genes, while 3C assays potentially allow identification of physical interactions between any chromatin segments. 3C technology is particularly suited to identify chromatin loops formed in genomic regions of up to several hundreds of kilobases in size. 5C technology 6,7 offers a robust high-throughput alternative for this analysis, based on large-scale sequencing or microarray analysis. 5C is however more laborious to set up. To identify DNA segments that interact over distances larger than several hundreds of kilobases, we recommend using 4C technology [8][9][10][11] , which allows for an unbiased genome-wide screen for DNA elements that interact with a genomic site of choice.The principle of 3C technology 2 (Fig. 1) is based on formaldehyde crosslinking of interacting chromatin segments, followed by restriction digestion and intramolecular ligation of crosslinked fragments. Ligation products are subsequently analyzed by PCR using primers specific for the restriction fragments of interest. The mere detection of a ligation product between two segmen...

To identify oncogenic pathways in T cell acute lymphoblastic leukemia (T-ALL), we combined expression profiling of 117 pediatric patient samples and detailed molecular-cytogenetic analyses including the Chromosome Conformation Capture on Chip (4C) method. Two T-ALL subtypes were identified that lacked rearrangements of known oncogenes. One subtype associated with cortical arrest, expression of cell cycle genes, and ectopic NKX2-1 or NKX2-2 expression for which rearrangements were identified. The second subtype associated with immature T cell development and high expression of the MEF2C transcription factor as consequence of rearrangements of MEF2C, transcription factors that target MEF2C, or MEF2C-associated cofactors. We propose NKX2-1, NKX2-2, and MEF2C as T-ALL oncogenes that are activated by various rearrangements.

CTCF (CCCTC-binding factor) binds sites around the mouse ␤-globin locus that spatially cluster in the erythroid cell nucleus. We show that both conditional deletion of CTCF and targeted disruption of a DNA-binding site destabilize these long-range interactions and cause local loss of histone acetylation and gain of histone methylation, apparently without affecting transcription at the locus. Our data demonstrate that CTCF is directly involved in chromatin architecture and regulates local balance between active and repressive chromatin marks. We postulate that throughout the genome, relative position and stability of CTCF-mediated loops determine their effect on enhancer-promoter interactions, with gene insulation as one possible outcome. Chromatin insulators are DNA sequences that confer autonomous expression on genes by protecting them against inadvertent signals coming from neighboring chromatin. CTCF (CCCTC-binding factor) is the prototype vertebrate protein exhibiting insulator activity that can act as an enhancer blocker or as a barrier against repressive forces from nearby heterochromatin in vitro (Defossez and Gilson 2002; RecillasTarga et al. 2002). In vivo, CTCF binds to the imprinting control region of the H19/insulin-like growth factor (Igf2) locus, where it acts as a methylation-sensitive enhancer blocker (Bell and Felsenfeld 2000;Hark et al. 2000). Moreover, CTCF-binding sites have been foundand its insulator activity has been anticipated-at the imprinting center that determines choice of X inactivation (Chao et al. 2002), at boundaries of domains that escape X inactivation (Filippova et al. 2005), and at sites flanking CTG/CAG repeats at the DM1 locus (Filippova et al. 2001). CTCF was first defined as an insulator protein when it was found to be required for the enhancerblocking activity of a hypersensitive site 5Ј of the chicken ␤-globin locus (5ЈHS4) (Bell et al. 1999). A similar CTCF-dependent insulator site was subsequently found at the 3Ј end of the locus and both sites coincide with erythroid-specific transitions in DNase I sensitivity of chromatin (Saitoh et al. 2000). Such observations suggested that CTCF partitions the genome in physically distinct domains of gene expression. The molecular mechanism underlying CTCF's insulating activity is still unknown.CTCF-binding sites also flank the human and mouse ␤-globin locus (Fig. 1A), which contains a number of developmentally regulated, erythroid-specific ␤-globin genes and an upstream locus control region (LCR) required for high ␤-globin expression levels. In mice, three CTCF-binding sites have been identified upstream (HS-85, HS-62, and HS5) and one downstream (3ЈHS1) of the locus (Farrell et al. 2002;Bulger et al. 2003). Previously, we applied chromosome conformation capture (3C) technology (Dekker et al. 2002) to study long-range DNA interactions between these and other sites in the ␤-globin locus. In erythroid cells, the CTCF-binding sites (including HS-85; see below) were found to participate in spatial interactions between the LCR and th...

Regulatory DNA elements can control the expression of distant genes via physical interactions. Here we present a cost-effective methodology and computational analysis pipeline for robust characterization of the physical organization around selected promoters and other functional elements using chromosome conformation capture combined with high-throughput sequencing (4C-seq). Our approach can be multiplexed and routinely integrated with other functional genomics assays to facilitate physical characterization of gene regulation.

Three-dimensional topology of DNA in the cell nucleus provides a level of transcription regulation beyond the sequence of the linear DNA. To study the relationship between the transcriptional activity and the spatial environment of a gene, we used allele-specific chromosome conformation capture-on-chip (4C) technology to produce high-resolution topology maps of the active and inactive X chromosomes in female cells. We found that loci on the active X form multiple long-range interactions, with spatial segregation of active and inactive chromatin. On the inactive X, silenced loci lack preferred interactions, suggesting a unique random organization inside the inactive territory. However, escapees, among which is Xist, are engaged in long-range contacts with each other, enabling identification of novel escapees. Deletion of Xist results in partial refolding of the inactive X into a conformation resembling the active X without affecting gene silencing or DNA methylation. Our data point to a role for Xist RNA in shaping the conformation of the inactive X chromosome at least partially independent of transcription.

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It is becoming increasingly clear that the shape of the genome importantly influences transcription regulation. Pluripotent stem cells such as embryonic stem cells were recently shown to organize their chromosomes into topological domains that are largely invariant between cell types. Here we combine chromatin conformation capture technologies with chromatin factor binding data to demonstrate that inactive chromatin is unusually disorganized in pluripotent stem-cell nuclei. We show that gene promoters engage in contacts between topological domains in a largely tissue-independent manner, whereas enhancers have a more tissue-restricted interaction profile. Notably, genomic clusters of pluripotency factor binding sites find each other very efficiently, in a manner that is strictly pluripotent-stem-cell-specific, dependent on the presence of Oct4 and Nanog protein and inducible after artificial recruitment of Nanog to a selected chromosomal site. We conclude that pluripotent stem cells have a unique higher-order genome structure shaped by pluripotency factors. We speculate that this interactome enhances the robustness of the pluripotent state.