High resolution copy number inference in cancer using short-molecule nanopore sequencing Journal Article


Authors: Baslan, T.; Kovaka, S.; Sedlazeck, F. J.; Zhang, Y.; Wappel, R.; Tian, S.; Lowe, S. W.; Goodwin, S.; Schatz, M. C.
Article Title: High resolution copy number inference in cancer using short-molecule nanopore sequencing
Abstract: Genome copy number is an important source of genetic variation in health and disease. In cancer, Copy Number Alterations (CNAs) can be inferred from short-read sequencing data, enabling genomics-based precision oncology. Emerging Nanopore sequencing technologies offer the potential for broader clinical utility, for example in smaller hospitals, due to lower instrument cost, higher portability, and ease of use. Nonetheless, Nanopore sequencing devices are limited in the number of retrievable sequencing reads/molecules compared to short-read sequencing platforms, limiting CNA inference accuracy. To address this limitation, we targeted the sequencing of short-length DNA molecules loaded at optimized concentration in an effort to increase sequence read/molecule yield from a single nanopore run. We show that short-molecule nanopore sequencing reproducibly returns high read counts and allows high quality CNA inference. We demonstrate the clinical relevance of this approach by accurately inferring CNAs in acute myeloid leukemia samples. The data shows that, compared to traditional approaches such as chromosome analysis/cytogenetics, short molecule nanopore sequencing returns more sensitive, accurate copy number information in a cost effective and expeditious manner, including for multiplex samples. Our results provide a framework for short-molecule nanopore sequencing with applications in research and medicine, which includes but is not limited to, CNAs.
Keywords: reveals
Journal Title: Nucleic Acids Research
Volume: 49
Issue: 21
ISSN: 0305-1048
Publisher: Oxford University Press  
Date Published: 2021-12-02
Start Page: e124
Language: English
ACCESSION: WOS:000733312000004
DOI: 10.1093/nar/gkab812
PROVIDER: wos
PMCID: PMC8643650
PUBMED: 34551429
Notes: Article -- Source: Wos
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  1. Scott W Lowe
    249 Lowe
  2. Sha Tian
    14 Tian
  3. Timour Baslan
    46 Baslan
  4. Yanming Zhang
    199 Zhang