Next Next Gen Detection of Structural Variants

Accurate detection of complex structural variations using single-molecule sequencing

Fritz J. Sedlazeck, Philipp Rescheneder, Moritz Smolka, Han Fang, Maria Nattestad, Arndt von Haeseler, and Michael C. Schatz

Nature Methods (Research article)

Abstract—Structural variations are the greatest source of genetic variation, but they remain poorly understood because of technological limitations. Single-molecule long-read sequencing has the potential to dramatically advance the field, although high error rates are a challenge with existing methods. Addressing this need, we introduce open-source methods for long-read alignment (NGMLR; https://github.com/philres/ngmlr) and structural variant identification (Sniffles; https://github.com/fritzsedlazeck/Sniffles) that provide unprecedented sensitivity and precision for variant detection, even in repeat-rich regions and for complex nested events that can have substantial effects on human health. In several long-read datasets, including healthy and cancerous human genomes, we discovered thousands of novel variants and categorized systematic errors in short-read approaches. NGMLR and Sniffles can automatically filter false events and operate on low-coverage data, thereby reducing the high costs that have hindered the application of long reads in clinical and research settings.

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Single-molecule quantum sequencing method for detecting Anti-Cancer drug incorporation into DNA

DNA is small. Really, really, small. So, when researchers want to study the structure of a single-stranded DNA, they can’t just pull out their microscopes: they have to get creative.

In a study published this week in Scientific Reports, researchers from Japan’s Osaka University explain how they came up with a really small solution to the challenge of studying anti-cancer drugs incorporated into single strands of DNA.

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Next-next generation tool for improving traditional chemotherapies

Direct Analysis of Incorporation of an Anticancer Drug into DNA at Single-Molecule Resolution

Identifying positions at which anticancer drug molecules incorporate into DNA is essential to define mechanisms underlying their activity, but current methodologies cannot yet achieve this. The thymidine fluorine substitution product trifluridine (FTD) is a DNA-damaging anticancer agent thought to incorporate into thymine positions in DNA. This mechanism, however, has not been directly confirmed. Here, we report a means to detect FTD in a single-stranded oligonucleotide using a method to distinguish single molecules by differences in electrical conductance. Entire sequences of 21-base single-stranded DNAs with and without incorporated drug were determined based on single-molecule conductances of the drug and four deoxynucleosides, the first direct observation of its kind. This methodology may foster rapid development of more effective anticancer drugs.

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