Publications by authors named "Marieke Oudelaar"

Individual enhancers are defined as short genomic regulatory elements, bound by transcription factors, and able to activate cell-specific gene expression at a distance, in an orientation-independent manner. Within mammalian genomes, enhancer-like elements may be found individually or within clusters referred to as locus control regions or super-enhancers (SEs). While these behave similarly to individual enhancers with respect to cell specificity, distribution and distance, their orientation-dependence has not been formally tested.

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By building synthetic regulatory landscapes, Jensen et al. and Thomas et al. demonstrate in this issue of Molecular Cell that gene expression levels strongly depend on the genomic distance between enhancers and promoters and that enhancer cooperation can compensate for reduced enhancer activity over large genomic distances.

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Article Synopsis
  • DNA damage repair is essential for genomic integrity and cellular health, but detecting it in individual cells has been challenging.
  • The study uses innovative techniques (DamID and ChIC sequencing) to analyze how repair proteins localize in response to DNA double-strand breaks, revealing variability in damage locations and repair features.
  • Findings indicate that repair proteins cluster in large chromatin hubs, enhancing their coordination and suggesting a preference for cooperative repair mechanisms across the genome.
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Eukaryotic genomes are organized into 3D structures, which range from small-scale nucleosome arrays to large-scale chromatin domains. These structures have an important role in the regulation of transcription and other nuclear processes. Despite advances in our understanding of the properties, functions, and underlying mechanisms of genome structures, there are many open questions about the interplay between these structures across scales.

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Facilitates chromatin transcription (FACT) is a histone chaperone that supports transcription through chromatin in vitro, but its functional roles in vivo remain unclear. Here, we analyze the in vivo functions of FACT with the use of multi-omics analysis after rapid FACT depletion from human cells. We show that FACT depletion destabilizes chromatin and leads to transcriptional defects, including defective promoter-proximal pausing and elongation, and increased premature termination of RNA polymerase II.

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Eukaryotic genomes are compacted and organized into distinct three-dimensional (3D) structures, which range from small-scale nucleosome arrays to large-scale chromatin domains. These chromatin structures play an important role in the regulation of transcription and other nuclear processes. The molecular mechanisms that drive the formation of chromatin structures across scales and the relationship between chromatin structure and function remain incompletely understood.

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Eukaryotic genomes are organized into chromatin domains. The molecular mechanisms driving the formation of these domains are difficult to dissect in vivo and remain poorly understood. Here we reconstitute Saccharomyces cerevisiae chromatin in vitro and determine its 3D organization at subnucleosome resolution by micrococcal nuclease-based chromosome conformation capture and molecular dynamics simulations.

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Article Synopsis
  • Enhancer-mediated gene activation relies on enhancers being close to gene promoters, but how these interactions occur is not fully understood.
  • Researchers studied the Mediator complex's role in enhancing promoter interactions using advanced techniques to analyze chromatin structure.
  • They discovered that reducing Mediator levels decreased enhancer-promoter interactions and gene expression, while also changing how the Cohesin complex interacts with chromatin, highlighting the importance of both Mediator and Cohesin in regulating these interactions.
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Tri-C is a chromosome conformation capture (3C) approach that can efficiently identify multiway chromatin interactions with viewpoints of interest. As opposed to pair-wise interactions identified in methods such as Hi-C, 4C, and Capture-C, the detection of multiway interactions allows researchers to investigate how multiple cis-regulatory elements interact together in higher-order structures in single nuclei and address questions regarding structural cooperation between these elements. Here, we describe the procedure for designing and performing a Tri-C experiment.

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Enhancers and promoters predominantly interact within large-scale topologically associating domains (TADs), which are formed by loop extrusion mediated by cohesin and CTCF. However, it is unclear whether complex chromatin structures exist at sub-kilobase-scale and to what extent fine-scale regulatory interactions depend on loop extrusion. To address these questions, we present an MNase-based chromosome conformation capture (3C) approach, which has enabled us to generate the most detailed local interaction data to date (20 bp resolution) and precisely investigate the effects of cohesin and CTCF depletion on chromatin architecture.

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The transcription factor RUNX1 is a critical regulator of developmental hematopoiesis and is frequently disrupted in leukemia. Runx1 is a large, complex gene that is expressed from two alternative promoters under the spatiotemporal control of multiple hematopoietic enhancers. To dissect the dynamic regulation of Runx1 in hematopoietic development, we analyzed its three-dimensional chromatin conformation in mouse embryonic stem cell (ESC) differentiation cultures.

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Chromosome conformation capture (3C) methods measure the spatial proximity between DNA elements in the cell nucleus. Many methods have been developed to sample 3C material, including the Capture-C family of protocols. Capture-C methods use oligonucleotides to enrich for interactions of interest from sequencing-ready 3C libraries.

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The α- and β-globin loci harbor developmentally expressed genes, which are silenced throughout post-natal life. Reactivation of these genes may offer therapeutic approaches for the hemoglobinopathies, the most common single gene disorders. Here, we address mechanisms regulating the embryonically expressed α-like globin, termed ζ-globin.

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Many single nucleotide variants (SNVs) associated with human traits and genetic diseases are thought to alter the activity of existing regulatory elements. Some SNVs may also create entirely new regulatory elements which change gene expression, but the mechanism by which they do so is largely unknown. Here we show that a single base change in an otherwise unremarkable region of the human α-globin cluster creates an entirely new promoter and an associated unidirectional transcript.

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In higher eukaryotes, many genes are regulated by enhancers that are 10-10 base pairs (bp) away from the promoter. Enhancers contain transcription-factor-binding sites (which are typically around 7-22 bp), and physical contact between the promoters and enhancers is thought to be required to modulate gene expression. Although chromatin architecture has been mapped extensively at resolutions of 1 kilobase and above; it has not been possible to define physical contacts at the scale of the proteins that determine gene expression.

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Gene transcription occurs via a cycle of linked events, including initiation, promoter-proximal pausing, and elongation of RNA polymerase II (Pol II). A key question is how transcriptional enhancers influence these events to control gene expression. Here, we present an approach that evaluates the level and change in promoter-proximal transcription (initiation and pausing) in the context of differential gene expression, genome-wide.

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Article Synopsis
  • Chromosome conformation capture (3C) is a versatile tool for exploring biological questions, but existing methods either offer low-resolution data for the entire genome or higher resolution at a few specific locations.
  • This study presents two key improvements to 3C techniques, significantly reducing noise from reporter events by isolating nuclei after ligation.
  • Using Nuclear-Titrated Capture-C, the authors achieved reproducible, high-resolution genome-wide interaction profiles, focusing on 8055 gene promoters in erythroid cells, and examined the influence of promoter hubs and super-enhancers on gene regulation.
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Precise patterns of gene expression in metazoans are controlled by three classes of regulatory elements: promoters, enhancers and boundary elements. During differentiation and development, these elements form specific interactions in dynamic higher-order chromatin structures. However, the relationship between genome structure and its function in gene regulation is not completely understood.

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The mammalian globin gene clusters provide a paradigm for studying the relationship between genome structure and function. As blood stem cells undergo lineage specification and differentiation to form red blood cells, the chromatin structure and expression of the α-globin cluster change. The gradual activation of the α-globin genes in well-defined cell populations has enabled investigation of the structural and functional roles of its enhancers, promoters and boundary elements.

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Predicting the impact of noncoding genetic variation requires interpreting it in the context of three-dimensional genome architecture. We have developed deepC, a transfer-learning-based deep neural network that accurately predicts genome folding from megabase-scale DNA sequence. DeepC predicts domain boundaries at high resolution, learns the sequence determinants of genome folding and predicts the impact of both large-scale structural and single base-pair variations.

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Mammalian gene expression patterns are controlled by regulatory elements, which interact within topologically associating domains (TADs). The relationship between activation of regulatory elements, formation of structural chromatin interactions and gene expression during development is unclear. Here, we present Tiled-C, a low-input chromosome conformation capture (3C) technique.

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We investigate the three-dimensional (3D) conformations of the α-globin locus at the single-allele level in murine embryonic stem cells (ESCs) and erythroid cells, combining polymer physics models and high-resolution Capture-C data. Model predictions are validated against independent fluorescence in situ hybridization (FISH) data measuring pairwise distances, and Tri-C data identifying three-way contacts. The architecture is rearranged during the transition from ESCs to erythroid cells, associated with the activation of the globin genes.

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