The key haematopoietic regulator Myb is essential for coordinating proliferation and differentiation. ChIPSequencing and Chromosome Conformation Capture (3C)-Sequencing were used to characterize the structural and protein-binding dynamics of the Myb locus during erythroid differentiation. In proliferating cells expressing Myb, enhancers within the Myb-Hbs1l intergenic region were shown to form an active chromatin hub (ACH) containing the Myb promoter and first intron. This first intron was found to harbour the transition site from transcription initiation to elongation, which takes place around a conserved CTCF site. Upon erythroid differentiation, Myb expression is downregulated and the ACH destabilized. We propose a model for Myb activation by distal enhancers dynamically bound by KLF1 and the GATA1/TAL1/LDB1 complex, which primarily function as a transcription elongation element through chromatin looping.

Chromosome conformation capture (3C) technology is a powerful and increasingly popular tool for analyzing the spatial organization of genomes. Several 3C variants have been developed (e.g., 4C, 5C, ChIA-PET, Hi-C), allowing large-scale mapping of long-range genomic interactions. Here we describe multiplexed 3C sequencing (3C-seq), a 4C variant coupled to next-generation sequencing, allowing genome-scale detection of long-range interactions with candidate regions. Compared with several other available techniques, 3C-seq offers a superior resolution (typically single restriction fragment resolution; approximately 1-8 kb on average) and can be applied in a semi-high-throughput fashion. It allows the assessment of long-range interactions of up to 192 genes or regions of interest in parallel by multiplexing library sequencing. This renders multiplexed 3C-seq an inexpensive, quick (total hands-on time of 2 weeks) and efficient method that is ideal for the in-depth analysis of complex genetic loci. The preparation of multiplexed 3C-seq libraries can be performed by any investigator with basic skills in molecular biology techniques. Data analysis requires basic expertise in bioinformatics and in Linux and Python environments. The protocol describes all materials, critical steps and bioinformatics tools required for successful application of 3C-seq technology.

Facioscapulohumeral muscular dystrophy (FSHD) is characterized by sporadic de-repression of the transcription factor DUX4 in skeletal muscle. DUX4 activates a cascade of muscle disrupting events, eventually leading to muscle atrophy and apoptosis. Yet, how sporadic DUX4 expression leads to the generalized muscle wasting remains unclear. Transcriptome analyses have systematically been challenged by the majority of nuclei being DUX4 neg , weakening the DUX4 transcriptome signature. Moreover, DUX4 has been shown to be expressed in a highly dynamic burst-like manner, likely resulting in the detection of the downstream cascade of events long after DUX4 expression itself has faded. Identifying the FSHD transcriptome in individual cells and unraveling the cascade of events leading to FSHD development may therefore provide important insights in the disease process. We employed single-cell RNA sequencing, combined with pseudotime trajectory modeling, to study FSHD disease etiology and cellular progression in human primary myocytes. We identified a small FSHD-specific cell population in all tested patient-derived cultures and detected new genes associated with DUX4 de-repression. We furthermore generated an FSHD cellular progression model, ref lecting both the early burst-like DUX4 expression as well as the downstream activation of various FSHD-associated pathways, which allowed us to correlate DUX4 expression signature dynamics with that of regulatory complexes, thereby facilitating the prioritization of epigenetic targets for DUX4 silencing. Single-cell transcriptomics combined with pseudotime modeling thus holds valuable information on FSHD disease etiology and progression that can potentially guide biomarker and target selection for therapy.

Despite its importance during viral or bacterial infections, transcriptional regulation of the interferon-β gene (Ifnb1) in activated macrophages is only partially understood. Here we report that TRIM33 deficiency results in high, sustained expression of Ifnb1 at late stages of toll-like receptor-mediated activation in macrophages but not in fibroblasts. In macrophages, TRIM33 is recruited by PU.1 to a conserved region, the Ifnb1 Control Element (ICE), located 15 kb upstream of the Ifnb1 transcription start site. ICE constitutively interacts with Ifnb1 through a TRIM33-independent chromatin loop. At late phases of lipopolysaccharide activation of macrophages, TRIM33 is bound to ICE, regulates Ifnb1 enhanceosome loading, controls Ifnb1 chromatin structure and represses Ifnb1 gene transcription by preventing recruitment of CBP/p300. These results characterize a previously unknown mechanism of macrophage-specific regulation of Ifnb1 transcription whereby TRIM33 is critical for Ifnb1 gene transcription shutdown.