The study of gene regulation is dominated by a focus on the control of gene activation or increase in the level of expression. Just as critical is the process of gene repression or silencing. Chromatin signatures have identified enhancers, however, genome-wide identification of silencers by computational or experimental approaches are lacking. Here, we first define uncharacterized cis-regulatory elements likely containing silencers and find that 41.5% of ~7500 tested elements show silencer activity using massively parallel reporter assay (MPRA). We trained a support vector machine classifier based on MPRA data to predict candidate silencers in over 100 human and mouse cell or tissue types. The predicted candidate silencers exhibit characteristics expected of silencers. Leveraging promoter-capture HiC data, we find that over 50% of silencers are interacting with gene promoters having very low to no expression. Our results suggest a general strategy for genome-wide identification and characterization of silencer elements.

Base editors are capable of installing precise genomic alterations without creating double-strand DNA breaks. In this study, we targeted critical motifs regulating γ-globin reactivation with base editors delivered via HDAd5/35++ vectors. Through optimized design, we successfully produced a panel of cytidine and adenine base editor (ABE) vectors targeting the erythroid BCL11A enhancer or recreating naturally occurring hereditary persistence of fetal hemoglobin (HPFH) mutations in the HBG1/2 promoter. All 5 tested vectors efficiently installed target base conversion and led to γ-globin reactivation in human erythroid progenitor cells. We observed ~23% γ-globin protein production over β-globin, when using an ABE vector (HDAd-ABE-sgHBG-2) specific to the –113A>G HPFH mutation. In a β-YAC mouse model, in vivo hematopoietic progenitor/stem cell (HSPC) transduction with HDAd-ABE-sgHBG-2 followed by in vivo selection resulted in >40% γ-globin+ erythrocytes in the peripheral blood. This result corresponded to 21% γ-globin production over human β-globin. The average –113A>G conversion in total bone marrow cells was 20%. No alterations in hematological parameters, erythropoiesis, and bone marrow cellular composition were observed after treatment. No detectable editing was found at top-scoring, off-target genomic sites. Bone marrow lineage–negative cells from primary mice were capable of reconstituting secondary transplant-recipient mice with stable γ-globin expression. Importantly, the advantage of base editing over CRISPR/Cas9 was reflected by the markedly lower rates of intergenic HBG1/2 deletion and the absence of detectable toxicity in human CD34+ cells. Our observations suggest that HDAd-vectorized base editors represent a promising strategy for precise in vivo genome engineering for the treatment of β-hemoglobinopathies.

Genome compaction is a universal feature of cells and has emerged as a global regulator of gene expression. Compaction is maintained by a multitude of architectural proteins, long non-coding RNAs (lncRNAs), and regulatory DNA. Each component comprises interlinked regulatory circuits that organize the genome in three-dimensional (3D) space to manage gene expression. In this review, we update the current state of 3D genome catalogues and focus on how recent technological advances in 3D genomics are leading to an enhanced understanding of disease mechanisms. We highlight the use of genome-wide chromatin conformation capture (Hi-C) coupled with oligonucleotide capture technology (capture Hi-C) to map interactions between gene promoters and distal regulatory elements such as enhancers that are enriched for disease variants from genome-wide association studies (GWASs). We discuss how aberrations in architectural units are associated with various pathological outcomes, and explore how recent advances in genome and epigenome editing show great promise for a systematic understanding of complex genetic disorders. Our growing understanding of 3D genome architecture—coupled with the ability to engineer changes in it—may create novel therapeutic opportunities.

Activation and differentiation of T-helper (Th) cells into Th1 and Th2 types is a complex process orchestrated by distinct gene activation programs engaging a number of genes. This process is crucial for a robust immune response and an imbalance might lead to disease states such as autoimmune diseases or allergy. Therefore, identification of genes involved in this process is paramount to further understand the pathogenesis of, and design interventions for, immune-mediated diseases. We aimed at identifying protein-coding genes and long non-coding RNAs (lncRNAs) involved in early differentiation of T-helper cells by transcriptome analysis of cord blood-derived naïve precursor, primary and polarized cells. Here, we identified lineage-specific genes involved in early differentiation of Th1 and Th2 subsets by integrating transcriptional profiling data from multiple platforms. We have obtained a high confidence list of genes as well as a list of novel genes by employing more than one profiling platform. We show that the density of lineage-specific epigenetic marks is higher around lineage-specific genes than anywhere else in the genome. Based on next-generation sequencing data we identified lineage-specific lncRNAs involved in early Th1 and Th2 differentiation and predicted their expected functions through Gene Ontology analysis. We show that there is a positive trend in the expression of the closest lineage-specific lncRNA and gene pairs. We also found out that there is an enrichment of disease SNPs around a number of lncRNAs identified, suggesting that these lncRNAs might play a role in the etiology of autoimmune diseases. The results presented here show the involvement of several new actors in the early differentiation of T-helper cells and will be a valuable resource for better understanding of autoimmune processes.