Next generation sequencing (NGS) is challenged by structural and copy number variations larger than the typical read length of several hundred bases. Third-generation sequencing platforms such as single-molecule real-time (SMRT) and nanopore sequencing provide longer reads and are able to characterize variations that are undetected in NGS data. Nevertheless, these technologies suffer from inherent low throughput which prohibits deep sequencing at reasonable cost without target enrichment. Here, we optimized Cas9-Assisted Targeting of CHromosome segments (CATCH) for nanopore sequencing of the breast cancer gene BRCA1. A 200 kb target containing the 80 kb BRCA1 gene body and its flanking regions was isolated intact from primary human peripheral blood cells, allowing long-range amplification and long-read nanopore sequencing. The target was enriched 237-fold and sequenced at up to 70× coverage on a single flow-cell. Overall performance and single-nucleotide polymorphism (SNP) calling were directly compared to Illumina sequencing of the same enriched sample, highlighting the benefits of CATCH for targeted sequencing. The CATCH enrichment scheme only requires knowledge of the target flanking sequence for Cas9 cleavage while providing contiguous data across both coding and non-coding sequence and holds promise for characterization of complex disease-related or highly variable genomic regions.

Twenty female young adult rats were injected with tritiated thymidine (3HTdR). The animals were then killed in groups of five, at the following times: 1 hour, and 4, 16, and 23 days. Autoradiograms of sections through the submandibular gland were prepared, and the location of labelled cells in relationship to tubuli and acini was recorded. The different tubular and acinar cross sections could be distinguished by their cell number. Narrow tubuli had fewer nuclei than the wider ones. The nuclear number of a cross section was defined as its class and the location of a labelled epithelial cell was expressed in relationship to the class where it was found. The location of a labelled stromal cell was determined by the class of its neighboring tubular or acinar cross sections. The mean cell numbers of intercalated, granular, and striated duct cross sections were, respectively, 4.7, 10.5, and 10.2, while the average cell content of acini was 4.7 cells. One hour after labelling most labelled tubular epithelial and stromal cells were found in tubular cross sections (or low tubular classes), while in the acini, labelled epithelial and stromal cells were found mainly in wider cross sections (or higher acinar classes). Within the next 23 days labelled tubular cells and stroma proceeded into higher classes, while labelled acinar epithelium and stroma cells were displaced into narrower cross sections (or lower classes). The displaced tubular epithelium and stroma covered daily 0.26 classes. At this velocity the cell will reach the highest tubular class in 62 days and the estimated maximal tubular cell life span is 62 days.(ABSTRACT TRUNCATED AT 250 WORDS)

The epigenetic mark 5-hydroxymethylcytosine (5-hmC) is a distinct product of active DNA demethylation that is linked to gene regulation, development, and disease. In particular, 5-hmC levels dramatically decline in many cancers, potentially serving as an epigenetic biomarker. The noise associated with next-generation 5-hmC sequencing hinders reliable analysis of low 5-hmC containing tissues such as blood and malignant tumors. Additionally, genome-wide 5-hmC profiles generated by short-read sequencing are limited in providing long-range epigenetic information relevant to highly variable genomic regions, such as the 3.7 Mbp disease-related Human Leukocyte Antigen (HLA) region. We present a long-read, highly sensitive single-molecule mapping technology that generates hybrid genetic/epigenetic profiles of native chromosomal DNA. The genome-wide distribution of 5-hmC in human peripheral blood cells correlates well with 5-hmC DNA immunoprecipitation (hMeDIP) sequencing. However, the long single-molecule read-length of 100 kbp to 1 Mbp produces 5-hmC profiles across variable genomic regions that failed to show up in the sequencing data. In addition, optical 5-hmC mapping shows a strong correlation between the 5-hmC density in gene bodies and the corresponding level of gene expression. The single-molecule concept provides information on the distribution and coexistence of 5-hmC signals at multiple genomic loci on the same genomic DNA molecule, revealing long-range correlations and cell-to-cell epigenetic variation.

DNA damage and repair are linked to fundamental biological processes such as metabolism, disease, and aging. Single-strand lesions are the most abundant form of DNA damage; however, methods for characterizing these damage lesions are lacking. To avoid double-strand breaks and genomic instability, DNA damage is constantly repaired by efficient enzymatic machinery. We take advantage of this natural process and harness the repair capacity of a bacterial enzymatic cocktail to repair damaged DNA in vitro and incorporate fluorescent nucleotides into damage sites as part of the repair process. We use single-molecule imaging to detect individual damage sites in genomic DNA samples. When the labeled DNA is extended on a microscope slide, damage sites are visualized as fluorescent spots along the DNA contour, and the extent of damage is easily quantified. We demonstrate the ability to quantitatively follow the damage dose response to different damaging agents as well as repair dynamics in response to UV irradiation in several cell types. Finally, we show the modularity of this single-molecule approach by labeling DNA damage in conjunction with 5-hydroxymethylcytosine in genomic DNA extracted from mouse brain tissue.

We report on the development of a methylation analysis workflow for optical detection of fluorescent methylation profiles along chromosomal DNA molecules. In combination with Bionano Genomics genome mapping technology, these profiles provide a hybrid genetic/epigenetic genome-wide map composed of DNA molecules spanning hundreds of kilobase pairs. The method provides kilobase pair-scale genomic methylation patterns comparable to whole-genome bisulfite sequencing (WGBS) along genes and regulatory elements. These long single-molecule reads allow for methylation variation calling and analysis of large structural aberrations such as pathogenic macrosatellite arrays not accessible to single-cell second-generation sequencing. The method is applied here to study facioscapulohumeral muscular dystrophy (FSHD), simultaneously recording the haplotype, copy number, and methylation status of the disease-associated, highly repetitive locus on Chromosome 4q.