We present Omni-ATAC, an improved ATAC-seq protocol for chromatin accessibility profiling that works across multiple applications with substantial improvement of signal-to-background ratio and information content. The Omni-ATAC protocol generates chromatin accessibility profiles from archival frozen tissue samples and 50-μm sections, revealing the activities of disease-associated DNA elements in distinct human brain structures. The Omni-ATAC protocol enables the interrogation of personal regulomes in tissue context and translational studies.

We present the genome-wide chromatin accessibility profiles of 410 tumor samples spanning 23 cancer types from The Cancer Genome Atlas. We identify 562,709 transposase-accessible DNA elements that substantially extend the compendium of known cis-regulatory elements. Integration of ATAC-seq with TCGA multi-omic data identifies a large number of putative distal enhancers that distinguish molecular subtypes of cancers, uncovers specific driving transcription factors via protein-DNA footprints, and nominates long-range gene-regulatory interactions in cancer. These data reveal genetic risk loci of cancer predisposition as active DNA regulatory elements in cancer, identify gene-regulatory interactions underlying cancer immune evasion, and pinpoint noncoding mutations that drive enhancer activation and may impact patient survival. These results suggest a systematic approach to understand the noncoding genome in cancer to advance diagnosis and therapy.

N6-methyladenosine (m6A) is a common modification of mRNA, with potential roles in fine-tuning the RNA life-cycle. Here, we identify a dense network of proteins interacting with METTL3, a component of the methyltransferase complex, and show that three of them, WTAP, METTL14 and KIAA1429, are required for methylation. Monitoring m6A levels upon WTAP depletion allowed the definition of accurate and near single-nucleotide resolution methylation maps, and their classification into WTAP-dependent and independent sites. WTAP-dependent sites are located at internal positions in transcripts, are topologically static across a variety of systems we surveyed, and are inversely correlated with mRNA stability, consistent with a role in establishing ‘basal’ degradation rates. WTAP-independent sites form at the first transcribed base as part of the cap structure, and are present at thousands of sites, forming a previously unappreciated layer of transcriptome complexity. Our data sheds new light on proteomic and transcriptional underpinnings of this epitranscriptomic modification.

SUMMARY Pseudouridine is the most abundant RNA modification, yet except for a few well-studied cases, little is known about the modified positions and their function(s). Here, we develop Ψ-seq for transcriptome-wide quantitative mapping of pseudouridine. We validate Ψ-seq with spike-ins and de novo identification of previously reported positions and discover hundreds of novel sites in human and yeast mRNAs and snoRNAs. Perturbing pseudouridine synthases (PUSs) uncovers which PUSs modify each site and their target sequence features. mRNA pseudouridinylation depends on both site-specific and snoRNA-guided PUSs. Upon heat shock in yeast, Pus7-mediated pseudouridylation is induced at >200 sites and Pus7 deletion decreases the levels of otherwise pseudouridylated mRNA, suggesting a role in enhancing transcript stability. rRNA pseudouridine stoichiometries are conserved, but reduced in cells from dyskeratosis congenita patients, where the PUS DKC1 is mutated. Our work identifies an enhanced, transcritome-wide scope for pseudouridine, and methods to dissect its underlying mechanisms and function.

Genome conformation is central to gene control but challenging to interrogate. Here we present HiChIP, a protein-centric chromatin conformation method. HiChIP improves the yield of conformation-informative reads by over 10-fold and lowers input requirement over 100-fold relative to ChIA-PET. HiChIP of cohesin reveals multi-scale genome architecture with greater signal to background than in situ Hi-C. Thus, HiChIP adds to the toolbox of 3D genome structure and regulation for diverse biomedical applications.