Oncogenes are activated through well-known chromosomal alterations, including gene fusion, translocation and focal amplification. Recent evidence that the control of key genes depends on chromosome structures called insulated neighborhoods led us to investigate whether proto-oncogenes occur within these structures and if oncogene activation can occur via disruption of insulated neighborhood boundaries in cancer cells. We mapped insulated neighborhoods in T-cell acute lymphoblastic leukemia (T-ALL), and found that tumor cell genomes contain recurrent microdeletions that eliminate the boundary sites of insulated neighborhoods containing prominent T-ALL proto-oncogenes. Perturbation of such boundaries in non-malignant cells was sufficient to activate proto-oncogenes. Mutations affecting chromosome neighborhood boundaries were found in many types of cancer. Thus, oncogene activation can occur via genetic alterations that disrupt insulated neighborhoods in malignant cells.

Genome-wide association studies (GWAS) have identified numerous genetic variants associated with complex diseases but mechanistic insights are impeded by the lack of understanding of how specific risk variants functionally contribute to the underlying pathogenesis1. It has been proposed that cis-acting effects of non-coding risk variants on gene expression are a major factor for phenotypic variation of complex traits and disease susceptibility. Recent genome-scale chromatin mapping studies have highlighted the enrichment of GWAS variants in regulatory DNA elements of disease-relevant cell types2–6. Furthermore, single nucleotide polymorphism (SNP)-specific changes in transcription factor (TF) binding are correlated with heritable alterations in chromatin state and considered a major mediator of sequence-dependent regulation of gene expression7–10. Here we describe a novel strategy to functionally dissect the cis-acting effect of genetic risk variants in regulatory elements on gene expression by combining genome-wide epigenetic information with clustered regularly-interspaced short palindromic repeats (CRISPR)/Cas9 genome editing in human pluripotent stem cells (hPSCs). By generating a genetically precisely controlled experimental system we identify a common Parkinson’s disease (PD)-associated risk variant in a non-coding distal enhancer element that regulates the expression of alpha-synuclein (SNCA), a key gene implicated in the pathogenesis of PD. Our data suggest that the transcriptional deregulation of SNCA is associated with sequence-dependent binding of the brain-specific TFs EMX2 and NKX6-1. This work establishes an experimental paradigm to functionally connect genetic variation with disease relevant phenotypes.

Pluripotent stem cells (PSCSCs) are defined by their potential to generate all cell types of an organism. The standard assay for pluripotency of mouse PSCSCs is cell transmission through the germline, but for human PSCSCs researchers depend on indirect methods such as differentiation into teratomas in immunodeficient mice. Here we report PluriTest, a robust open-access bioinformatic assay of pluripotency in human cells based on their gene expression profiles

RNA polymerase II mediates the transcription of all protein-coding genes in eukaryotic cells, a process that is fundamental to life. Genomic mutations altering this enzyme have not previously been linked to any pathology in humans, which is a testament to its indispensable role in cell biology. On the basis of a combination of next-generation genomic analyses of 775 meningiomas, we report that recurrent somatic p.Gln403Lys or p.Leu438_His439del mutations in POLR2A, which encodes the catalytic subunit of RNA polymerase II (ref. 1), hijack this essential enzyme and drive neoplasia. POLR2A mutant tumors show dysregulation of key meningeal identity genes2, 3, including WNT6 and ZIC1/ZIC4. In addition to mutations in POLR2A, NF2, SMARCB1, TRAF7, KLF4, AKT1, PIK3CA, and SMO4, 5, 6, 7, 8, we also report somatic mutations in AKT3, PIK3R1, PRKAR1A, and SUFU in meningiomas. Our results identify a role for essential transcriptional machinery in driving tumorigenesis and define mutually exclusive meningioma subgroups with distinct clinical and pathological features.