While context-type-specific regulation of genes is largely determined by cis-regulatory regions, attempts to identify cell type-specific eQTLs are complicated by the nested nature of cell types. We present hierarchical eQTL (H-eQTL), a network-based model for hierarchical annotation of bulk-derived eQTLs to levels of a cell type tree using single-cell chromatin accessibility data and no clustering of cells into discrete cell types. Using our model, we annotate bulk-derived eQTLs from the developing brain with high specificity to levels of a cell type hierarchy, which allows sensitive detection of genes with multiple distinct non-coding elements regulating their expression in different cell types.
View Article and Find Full Text PDFThree-dimensional genome organization plays a critical role in gene regulation, and disruptions can lead to developmental disorders by altering the contact between genes and their distal regulatory elements. Structural variants (SVs) can disturb local genome organization, such as the merging of topologically associating domains upon boundary deletion. Testing large numbers of SVs experimentally for their effects on chromatin structure and gene expression is time and cost prohibitive.
View Article and Find Full Text PDFObjectives: The destruction of the World Trade Center (WTC) towers in New York City on September 11, 2001 (9/11), released approximately 1 million tons of pulverized particulate matter throughout southern Manhattan and areas in Brooklyn, exposing community members and responders to high levels of potentially toxic environmental particles. Asbestos exposure was a health concern because of its use in certain sections of the WTC towers. Malignant mesothelioma, originating from the lining cells (mesothelium) of the peritoneal and pleural cavities, is one complication associated with asbestos exposure.
View Article and Find Full Text PDFThe dynamic three-dimensional (3D) organization of the human genome (the "4D Nucleome") is closely linked to genome function. Here, we integrate a wide variety of genomic data generated by the 4D Nucleome Project to provide a detailed view of human 3D genome organization in widely used embryonic stem cells (H1-hESCs) and immortalized fibroblasts (HFFc6). We provide extensive benchmarking of 3D genome mapping assays and integrate these diverse datasets to annotate spatial genomic features across scales.
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