Long-read single-molecule maps of the functional methylome

  1. Yuval Ebenstein1
  1. 1School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Ramat Aviv 6997801, Israel;
  2. 2Institute of Organic Chemistry RWTH Aachen University, D-52056 Aachen, Germany;
  3. 3Center for Genetic Medicine Research, Children's National Health System, Children's Research Institute, Washington, DC 20010, USA;
  4. 4Kennedy Krieger Institute and Departments of Neurology and Neuroscience, The Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA;
  5. 5Bionano Genomics, Incorporated, San Diego, California 92121, USA
  1. 6 These authors contributed equally to this work.

  • Corresponding authors: uv{at}post.tau.ac.il, elmar.weinhold{at}oc.rwth-aachen.de
  • Abstract

    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.

    Footnotes

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.240739.118.

    • Freely available online through the Genome Research Open Access option.

    • Received June 14, 2018.
    • Accepted February 25, 2019.

    This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.

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