Harmen J.G. van de Werken

Cohesin and CTCF differentially affect chromatin architecture and gene expression in human cells

Significance For the 2m DNA to fit into the tiny cell nucleus, it is wrapped around nucleosomes and folded into loops clustering together in domains. Genome function depends on this 3D-organization, especially on-going dynamic processes like transcription. Techniques studying the network of DNA contacts genome-wide have recently revealed this 3D architecture, but the protein factors behind this are not understood. We study two proteins that are known to help form DNA loops: cohesin and CTCC-binding factor (CTCF). Respective depletion and analysis of DNA contacts genome-wide show that CTCF is required to separate neighboring folding domains and keep cohesin in place, whereas cohesin is important for shaping the domains. Consistently, we observe different changes of gene expression. Recent studies of genome-wide chromatin interactions have revealed that the human genome is partitioned into many self-associating topological domains. The boundary sequences between domains are enriched for binding sites of CTCC-binding factor (CTCF) and the cohesin complex, implicating these two factors in the establishment or maintenance of topological domains. To determine the role of cohesin and CTCF in higher-order chromatin architecture in human cells, we depleted the cohesin complex or CTCF and examined the consequences of loss of these factors on higher-order chromatin organization, as well as the transcriptome. We observed a general loss of local chromatin interactions upon disruption of cohesin, but the topological domains remain intact. However, we found that depletion of CTCF not only reduced intradomain interactions but also increased interdomain interactions. Furthermore, distinct groups of genes become misregulated upon depletion of cohesin and CTCF. Taken together, these observations suggest that CTCF and cohesin contribute differentially to chromatin organization and gene regulation.

eRNAs are required for p53-dependent enhancer activity and gene transcription.

Binding within or nearby target genes involved in cell proliferation and survival enables the p53 tumor suppressor gene to regulate their transcription and cell-cycle progression. Using genome-wide chromatin-binding profiles, we describe binding of p53 also to regions located distantly from any known p53 target gene. Interestingly, many of these regions possess conserved p53-binding sites and all known hallmarks of enhancer regions. We demonstrate that these p53-bound enhancer regions (p53BERs) indeed contain enhancer activity and interact intrachromosomally with multiple neighboring genes to convey long-distance p53-dependent transcription regulation. Furthermore, p53BERs produce, in a p53-dependent manner, enhancer RNAs (eRNAs) that are required for efficient transcriptional enhancement of interacting target genes and induction of a p53-dependent cell-cycle arrest. Thus, our results ascribe transcription enhancement activity to p53 with the capacity to regulate multiple genes from a single genomic binding site. Moreover, eRNA production from p53BERs is required for efficient p53 transcription enhancement.

The inactive X chromosome adopts a unique three-dimensional conformation that is dependent on Xist RNA

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.

Robust 4C-seq data analysis to screen for regulatory DNA interactions

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.

Variegated gene expression caused by cell-specific long-range DNA interactions

Mammalian genomes contain numerous regulatory DNA sites with unknown target genes. We used mice with an extra β-globin locus control region (LCR) to investigate how a regulator searches the genome for target genes. We find that the LCR samples a restricted nuclear subvolume, wherein it preferentially contacts genes controlled by shared transcription factors. No contacted gene is detectably upregulated except for endogenous β-globin genes located on another chromosome. This demonstrates genetically that mammalian trans activation is possible, but suggests that it will be rare. Trans activation occurs not pan-cellularly, but in ‘jackpot’ cells enriched for the interchromosomal interaction. Therefore, cell-specific long-range DNA contacts can cause variegated expression.

Determining long-range chromatin interactions for selected genomic sites using 4C-seq technology: From fixation to computation

Chromosome Conformation Capture (3C) and 3C-based technologies are constantly evolving in order to probe nuclear organization with higher depth and resolution. One such method is 4C-technology that allows the investigation of the nuclear environment of a locus of choice. The use of Illumina next generation sequencing as a detection platform for the analysis of 4C data has further improved the sensitivity and resolution of this method. Here we provide a step-by-step protocol for 4C-seq, describing the procedure from the initial template preparation until the final data analysis, interchanged with background information and considerations.

4C Technology: Protocols and Data Analysis

Chromosome conformation capture (3C) technology and its genome-wide derivatives have revolutionized our knowledge on chromatin folding and nuclear organization. 4C-seq Technology combines 3C principles with high-throughput sequencing (4C-seq) to enable for unbiased genome-wide screens for DNA contacts made by single genomic sites of interest. Here, we discuss in detail the design, application, and data analysis of 4C-seq experiments. Based on many hundreds of different 4C-seq experiments, we define criteria to assess data quality and show how different restriction enzymes and cross-linking conditions affect results. We describe in detail the mapping strategy of 4C-seq reads and show advanced strategies for data analysis.

A common genetic variant within SCN10A modulates cardiac SCN5A expression

Variants in SCN10A, which encodes a voltage-gated sodium channel, are associated with alterations of cardiac conduction parameters and the cardiac rhythm disorder Brugada syndrome; however, it is unclear how SCN10A variants promote dysfunctional cardiac conduction. Here we showed by high-resolution 4C-seq analysis of the Scn10a-Scn5a locus in murine heart tissue that a cardiac enhancer located in Scn10a, encompassing SCN10A functional variant rs6801957, interacts with the promoter of Scn5a, a sodium channel-encoding gene that is critical for cardiac conduction. We observed that SCN5A transcript levels were several orders of magnitude higher than SCN10A transcript levels in both adult human and mouse heart tissue. Analysis of BAC transgenic mouse strains harboring an engineered deletion of the enhancer within Scn10a revealed that the enhancer was essential for Scn5a expression in cardiac tissue. Furthermore, the common SCN10A variant rs6801957 modulated Scn5a expression in the heart. In humans, the SCN10A variant rs6801957, which correlated with slowed conduction, was associated with reduced SCN5A expression. These observations establish a genomic mechanism for how a common genetic variation at SCN10A influences cardiac physiology and predisposes to arrhythmia.

DNA methylation dynamics during intestinal stem cell differentiation reveals enhancers driving gene expression in the villus

BackgroundDNA methylation is of pivotal importance during development. Previous genome-wide studies identified numerous differentially methylated regions upon differentiation of stem cells, many of them associated with transcriptional start sites.ResultsWe present the first genome-wide, single-base-resolution view into DNA methylation dynamics during differentiation of a mammalian epithelial stem cell: the mouse small intestinal Lgr5+ stem cell. Very little change was observed at transcriptional start sites and our data suggest that differentiation-related genes are already primed for expression in the stem cell. Genome-wide, only 50 differentially methylated regions were identified. Almost all of these loci represent enhancers driving gene expression in the differentiated part of the small intestine. Finally, we show that binding of the transcription factor Tcf4 correlates with hypo-methylation and demonstrate that Tcf4 is one of the factors contributing to formation of differentially methylated regions.ConclusionsOur results reveal limited DNA methylation dynamics during small intestine stem cell differentiation and an impact of transcription factor binding on shaping the DNA methylation landscape during differentiation of stem cells in vivo.

Targeted Chromatin Capture (T2C): a novel high resolution high throughput method to detect genomic interactions and regulatory elements

BackgroundSignificant efforts have recently been put into the investigation of the spatial organization and the chromatin-interaction networks of genomes. Chromosome conformation capture (3C) technology and its derivatives are important tools used in this effort. However, many of these have limitations, such as being limited to one viewpoint, expensive with moderate to low resolution, and/or requiring a large sequencing effort. Techniques like Hi-C provide a genome-wide analysis. However, it requires massive sequencing effort with considerable costs. Here we describe a new technique termed Targeted Chromatin Capture (T2C), to interrogate large selected regions of the genome. T2C provides an unbiased view of the spatial organization of selected loci at superior resolution (single restriction fragment resolution, from 2 to 6 kbp) at much lower costs than Hi-C due to the lower sequencing effort.ResultsWe applied T2C on well-known model regions, the mouse β-globin locus and the human H19/IGF2 locus. In both cases we identified all known chromatin interactions. Furthermore, we compared the human H19/IGF2 locus data obtained from different chromatin conformation capturing methods with T2C data. We observed the same compartmentalization of the locus, but at a much higher resolution (single restriction fragments vs. the common 40 kbp bins) and higher coverage. Moreover, we compared the β-globin locus in two different biological samples (mouse primary erythroid cells and mouse fetal brain), where it is either actively transcribed or not, to identify possible transcriptional dependent interactions. We identified the known interactions in the β-globin locus and the same topological domains in both mouse primary erythroid cells and in mouse fetal brain with the latter having fewer interactions probably due to the inactivity of the locus. Furthermore, we show that interactions due to the important chromatin proteins, Ldb1 and Ctcf, in both tissues can be analyzed easily to reveal their role on transcriptional interactions and genome folding.ConclusionsT2C is an efficient, easy, and affordable with high (restriction fragment) resolution tool to address both genome compartmentalization and chromatin-interaction networks for specific genomic regions at high resolution for both clinical and non-clinical research.