Enhancer-promoter interactions become more instructive in the transition from cell-fate specification to tissue differentiation.

To regulate expression, enhancers must come in proximity to their target gene. However, the relationship between the timing of enhancer-promoter (E-P) proximity and activity remains unclear, with examples of uncoupled, anticorrelated and correlated interactions. To assess this, we selected 600 characterized enhancers or promoters with tissue-specific activity in Drosophila embryos and performed Capture-C in FACS-purified myogenic or neurogenic cells during specification and tissue differentiation. This enabled direct comparison between E-P proximity and activity transitioning from OFF-to-ON and ON-to-OFF states across developmental conditions. This showed remarkably similar E-P topologies between specified muscle and neuronal cells, which are uncoupled from activity. During tissue differentiation, many new distal interactions emerge where changes in E-P proximity reflect changes in activity. The mode of E-P regulation therefore appears to change as embryogenesis proceeds, from largely permissive topologies during cell-fate specification to more instructive regulation during terminal tissue differentiation, when E-P proximity is coupled to activation.

Chromatin gene-gene loops support the cross-regulation of genes with related function.

Chromatin loops between gene pairs have been observed in diverse contexts in both flies and vertebrates. Combining high-resolution Capture-C, DNA fluorescence in situ hybridization, and genetic perturbations, we dissect the functional role of three loops between genes with related function during Drosophila embryogenesis. By mutating the loop anchor (but not the gene) or the gene (but not loop anchor), we disentangle loop formation and gene expression and show that the 3D proximity of paralogous gene loci supports their co-regulation. Breaking the loop leads to either an attenuation or enhancement of expression and perturbs their relative levels of expression and cross-regulation. Although many loops appear constitutive across embryogenesis, their function can change in different developmental contexts. Taken together, our results indicate that chromatin gene-gene loops act as architectural scaffolds that can be used in different ways in different contexts to fine-tune the coordinated expression of genes with related functions and sustain their cross-regulation.

CTCF, BEAF-32, and CP190 are not required for the establishment of TADs in early Drosophila embryos but have locus-specific roles.

The boundaries of topologically associating domains (TADs) are delimited by insulators and/or active promoters; however, how they are initially established during embryogenesis remains unclear. Here, we examined this during the first hours of Drosophila embryogenesis. DNA-FISH confirms that intra-TAD pairwise proximity is established during zygotic genome activation (ZGA) but with extensive cell-to-cell heterogeneity. Most newly formed boundaries are occupied by combinations of CTCF, BEAF-32, and/or CP190. Depleting each insulator individually from chromatin revealed that TADs can still establish, although with lower insulation, with a subset of boundaries (~10%) being more dependent on specific insulators. Some weakened boundaries have aberrant gene expression due to unconstrained enhancer activity. However, the majority of misexpressed genes have no obvious direct relationship to changes in domain-boundary insulation. Deletion of an active promoter (thereby blocking transcription) at one boundary had a greater impact than deleting the insulator-bound region itself. This suggests that cross-talk between insulators and active promoters and/or transcription might reinforce domain boundary insulation during embryogenesis.

To loop or not to loop: what is the role of TADs in enhancer function and gene regulation?

The past decade has seen a huge jump in the resolution and scale at which we can interrogate the three-dimensional properties of the genome. This revealed different types of chromatin structures including topologically associating domains, partitioning genes and their enhancers into interacting domains. While the visualisation of these topologies and their dynamics has dramatically improved, our understanding of their underlying mechanisms and functional roles in gene expression has lagged behind. A suite of recent studies have addressed this using genetic manipulations to perturb topological features and loops at different scales. Here we assess the new biological insights gained on the functional relationship between genome topology and gene expression, with a particular focus on enhancer function.

DamC reveals principles of chromatin folding in vivo without crosslinking and ligation.

Current understanding of chromosome folding is largely reliant on chromosome conformation capture (3C)-based experiments, where chromosomal interactions are detected as ligation products after chromatin crosslinking. To measure chromosome structure in vivo, quantitatively and without crosslinking and ligation, we implemented a modified version of DNA adenine methyltransferase identification (DamID) named DamC, which combines DNA methylation-based detection of chromosomal interactions with next-generation sequencing and biophysical modeling of methylation kinetics. DamC performed in mouse embryonic stem cells provides the first in vivo validation of the existence of topologically associating domains (TADs), CTCF loops and confirms 3C-based measurements of the scaling of contact probabilities. Combining DamC with transposon-mediated genomic engineering shows that new loops can be formed between ectopic and endogenous CTCF sites, which redistributes physical interactions within TADs. DamC provides the first crosslinking- and ligation-free demonstration of the existence of key structural features of chromosomes and provides novel insights into how chromosome structure within TADs can be manipulated.

Nuclear positioning and pairing of X-chromosome inactivation centers are not primary determinants during initiation of random X-inactivation.

During X-chromosome inactivation (XCI), one of the two X-inactivation centers (Xics) upregulates the noncoding RNA Xist to initiate chromosomal silencing in cis. How one Xic is chosen to upregulate Xist remains unclear. Models proposed include localization of one Xic at the nuclear envelope or transient homologous Xic pairing followed by asymmetric transcription factor distribution at Xist's antisense Xite/Tsix locus. Here, we use a TetO/TetR system that can inducibly relocate one or both Xics to the nuclear lamina in differentiating mouse embryonic stem cells. We find that neither nuclear lamina localization nor reduction of Xic homologous pairing influences monoallelic Xist upregulation or choice-making. We also show that transient pairing is associated with biallelic expression, not only at Xist/Tsix but also at other X-linked loci that can escape XCI. Finally, we show that Xic pairing occurs in wavelike patterns, coinciding with genome dynamics and the onset of global regulatory programs during early differentiation.

Correlation Does Not Imply Causation: Histone Methyltransferases, but Not Histone Methylation, SET the Stage for Enhancer Activation.

Although H3K4me1 is a pervasive "mark" of enhancers, its functional requirement for enhancer activity remains unclear. In this issue of Molecular Cell, Dorighi et al. (2017) show that in some contexts, the methyltransferase complex, rather than the H3K4me1 mark, is required for gene expression.

Structural Fluctuations of the Chromatin Fiber within Topologically Associating Domains.

Experiments based on chromosome conformation capture have shown that mammalian genomes are partitioned into topologically associating domains (TADs), within which the chromatin fiber preferentially interacts. TADs may provide three-dimensional scaffolds allowing genes to contact their appropriate distal regulatory DNA sequences (e.g., enhancers) and thus to be properly regulated. Understanding the cell-to-cell and temporal variability of the chromatin fiber within TADs, and what determines them, is thus of great importance to better understand transcriptional regulation. We recently described an equilibrium polymer model that can accurately predict cell-to-cell variation of chromosome conformation within single TADs, from chromosome conformation capture-based data. Here we further analyze the conformational and energetic properties of our model. We show that the chromatin fiber within TADs can easily fluctuate between several conformational states, which are hierarchically organized and are not separated by important free energy barriers, and that this is facilitated by the fact that the chromatin fiber within TADs is close to the onset of the coil-globule transition. We further show that in this dynamic state the properties of the chromatin fiber, and its contact probabilities in particular, are determined in a nontrivial manner not only by site-specific interactions between strongly interacting loci along the fiber, but also by nonlocal correlations between pairs of contacts. Finally, we use live-cell experiments to measure the dynamics of the chromatin fiber in mouse embryonic stem cells, in combination with dynamical simulations, and predict that conformational changes within one TAD are likely to occur on timescales that are much shorter than the duration of one cell cycle. This suggests that genes and their regulatory elements may come together and disassociate several times during a cell cycle. These results have important implications for transcriptional regulation as they support the concept of highly dynamic interactions driven by a complex interplay between site-specific interactions and the intrinsic biophysical properties of the chromatin fiber.

A cluster of methylations in the domain IV of 25S rRNA is required for ribosome stability.

In all three domains of life ribosomal RNAs are extensively modified at functionally important sites of the ribosome. These modifications are believed to fine-tune the ribosome structure for optimal translation. However, the precise mechanistic effect of modifications on ribosome function remains largely unknown. Here we show that a cluster of methylated nucleotides in domain IV of 25S rRNA is critical for integrity of the large ribosomal subunit. We identified the elusive cytosine-5 methyltransferase for C2278 in yeast as Rcm1 and found that a combined loss of cytosine-5 methylation at C2278 and ribose methylation at G2288 caused dramatic ribosome instability, resulting in loss of 60S ribosomal subunits. Structural and biochemical analyses revealed that this instability was caused by changes in the structure of 25S rRNA and a consequent loss of multiple ribosomal proteins from the large ribosomal subunit. Our data demonstrate that individual RNA modifications can strongly affect structure of large ribonucleoprotein complexes.

Live-cell imaging combined with immunofluorescence, RNA, or DNA FISH to study the nuclear dynamics and expression of the X-inactivation center.

Differentiation of embryonic stem cells is accompanied by changes of gene expression and chromatin and chromosome dynamics. One of the most impressive examples for these changes is inactivation of one of the two X chromosomes occurring upon differentiation of mouse female embryonic stem cells. With a few exceptions, these events have been mainly studied in fixed cells. In order to better understand the dynamics, kinetics, and order of events during differentiation, one needs to employ live-cell imaging techniques. Here, we describe a combination of live-cell imaging with techniques that can be used in fixed cells (e.g., RNA FISH) to correlate locus dynamics or subnuclear localization with, e.g., gene expression. To study locus dynamics in female ES cells, we generated cell lines containing TetO arrays in the X-inactivation center, the locus on the X chromosome regulating X-inactivation, which can be visualized upon expression of TetR fused to fluorescent proteins. We will use this system to elaborate on how to generate ES cell lines for live-cell imaging of locus dynamics, how to culture ES cells prior to live-cell imaging, and to describe typical live-cell imaging conditions for ES cells using different microscopes. Furthermore, we will explain how RNA, DNA FISH, or immunofluorescence can be applied following live-cell imaging to correlate gene expression with locus dynamics.

Efficient RNA virus control in Drosophila requires the RNA methyltransferase Dnmt2.

Drosophila use small-interfering RNA mechanisms to limit the amplification of viral genomes. However, it is unclear how small RNA interference components recognize and separate viral from cellular RNA. Dnmt2 enzymes are highly conserved RNA methyltransferases with substrate specificity towards cellular tRNAs. We report here that Dnmt2 is required for efficient innate immune responses in Drosophila. Dnmt2 mutant flies accumulate increasing levels of Drosophila C virus and show activated innate immune responses. Binding of Dnmt2 to DCV RNA suggests that Dnmt2 contributes to virus control directly, possibly by RNA methylation. These observations demonstrate a role for Dnmt2 in antiviral defence.

Recent advances in X-chromosome inactivation research.

X-chromosome inactivation is the mechanism ensuring dosage compensation in mammals. It is regulated by the X-inactivation center (Xic), which harbors the main regulator of XCI, the long non-coding RNA Xist. In the past two years significant advances have been made in our understanding of how Xist is regulated by its neighbors in the Xic and in a developmental context. New technologies, such as chromosome conformation capture and live cell imaging, have helped us understand the topological organization of the Xic and the dynamics of this locus during differentiation. Here, we will describe some of the most recent findings made in X-inactivation research with a special focus on the regulation of Xist and the spatial organization of the Xic.

Live-cell chromosome dynamics and outcome of X chromosome pairing events during ES cell differentiation.

Random X inactivation represents a paradigm for monoallelic gene regulation during early ES cell differentiation. In mice, the choice of X chromosome to inactivate in XX cells is ensured by monoallelic regulation of Xist RNA via its antisense transcription unit Tsix/Xite. Homologous pairing events have been proposed to underlie asymmetric Tsix expression, but direct evidence has been lacking owing to their dynamic and transient nature. Here we investigate the live-cell dynamics and outcome of Tsix pairing in differentiating mouse ES cells. We find an overall increase in genome dynamics including the Xics during early differentiation. During pairing, however, Xic loci show markedly reduced movements. Upon separation, Tsix expression becomes transiently monoallelic, providing a window of opportunity for monoallelic Xist upregulation. Our findings reveal the spatiotemporal choreography of the X chromosomes during early differentiation and indicate a direct role for pairing in facilitating symmetry-breaking and monoallelic regulation of Xist during random X inactivation.

Detection of cytosine methylation in RNA using bisulfite sequencing.

Post-transcriptional RNA modifications are a characteristic feature of noncoding RNAs and have been described for ribosomal RNAs (rRNAs), transfer RNAs (tRNAs), and various other small RNAs. However, the biological function of most of these modifications remains uncharacterized. Cytosine-5 methylation (5mC) has been detected in abundant and long-lived RNA molecules such as rRNAs and tRNAs, but, because of technical limitations, the occurrence of base-methylated cytosines in other RNAs is not known. To facilitate the detection of RNA methylation, we have established a method for analyzing base-methylated cytosines in RNA using bisulfite sequencing. Treatment of RNA with bisulfite causes the chemical deamination of nonmethylated cytosines to uracil, while methylated cytosines remain unaffected. cDNA synthesis followed by polymerase chain reaction (PCR) amplification and DNA sequencing allows investigators to reproducibly and quantitatively distinguish unmethylated cytosines (as thymines) from methylated cytosines in tRNAs and rRNAs. Using high-throughput sequencing approaches, this protocol should enable the characterization of 5mC methylation patterns in any RNA molecule, including low abundance RNAs.

RNA methylation by Dnmt2 protects transfer RNAs against stress-induced cleavage.

Dnmt2 proteins are the most conserved members of the DNA methyltransferase enzyme family, but their substrate specificity and biological functions have been a subject of controversy. We show here that, in addition to tRNA(Asp-GTC), tRNA(Val-AAC) and tRNA(Gly-GCC) are also methylated by Dnmt2. Drosophila Dnmt2 mutants showed reduced viability under stress conditions, and Dnmt2 relocalized to stress granules following heat shock. Strikingly, stress-induced cleavage of tRNAs was Dnmt2-dependent, and Dnmt2-mediated methylation protected tRNAs against ribonuclease cleavage. These results uncover a novel biological function of Dnmt2-mediated tRNA methylation, and suggest a role for Dnmt2 enzymes during the biogenesis of tRNA-derived small RNAs.

RNA cytosine methylation analysis by bisulfite sequencing.

Covalent modifications of nucleic acids play an important role in regulating their functions. Among these modifications, (cytosine-5) DNA methylation is best known for its role in the epigenetic regulation of gene expression. Post-transcriptional RNA modification is a characteristic feature of noncoding RNAs, and has been described for rRNAs, tRNAs and miRNAs. (Cytosine-5) RNA methylation has been detected in stable and long-lived RNA molecules, but its function is still unclear, mainly due to technical limitations. In order to facilitate the analysis of RNA methylation patterns we have established a protocol for the chemical deamination of cytosines in RNA, followed by PCR-based amplification of cDNA and DNA sequencing. Using tRNAs and rRNAs as examples we show that cytosine methylation can be reproducibly and quantitatively detected by bisulfite sequencing. The combination of this method with deep sequencing allowed the analysis of a large number of RNA molecules. These results establish a versatile method for the identification and characterization of RNA methylation patterns, which will be useful for defining the biological function of RNA methylation.