Investigation of Human Cancers for Retrovirus by Low-Stringency Target Enrichment and High-Throughput Sequencing

Lasse Vinner, Tobias Mourier, Jens Friis-Nielsen, Robert Gniadecki, Karen Dybkaer, Jacob Rosenberg, Jill Levin Langhof, David Flores Santa Cruz, Jannik Fonager, Jose Maria Gonzalez-Izarzugaza, Ramneek Gupta, Thomas Sicheritz-Pontén, Søren Brunak, Eske Willerslev, Lars Peter Nielsen, Anders Johannes Hansen

    Research output: Contribution to journalJournal articleResearchpeer-review

    459 Downloads (Pure)

    Abstract

    Although nearly one fifth of all human cancers have an infectious aetiology, the causes for the majority of cancers remain unexplained. Despite the enormous data output from high-throughput shotgun sequencing, viral DNA in a clinical sample typically constitutes a proportion of host DNA that is too small to be detected. Sequence variation among virus genomes complicates application of sequence-specific, and highly sensitive, PCR methods. Therefore, we aimed to develop and characterize a method that permits sensitive detection of sequences despite considerable variation. We demonstrate that our low-stringency in-solution hybridization method enables detection of <100 viral copies. Furthermore, distantly related proviral sequences may be enriched by orders of magnitude, enabling discovery of hitherto unknown viral sequences by high-throughput sequencing. The sensitivity was sufficient to detect retroviral sequences in clinical samples. We used this method to conduct an investigation for novel retrovirus in samples from three cancer types. In accordance with recent studies our investigation revealed no retroviral infections in human B-cell lymphoma cells, cutaneous T-cell lymphoma or colorectal cancer biopsies. Nonetheless, our generally applicable method makes sensitive detection possible and permits sequencing of distantly related sequences from complex material.
    Original languageEnglish
    Article number13201
    JournalScientific Reports
    Volume5
    Number of pages13
    ISSN2045-2322
    DOIs
    Publication statusPublished - 2015

    Bibliographical note

    This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

    Fingerprint

    Dive into the research topics of 'Investigation of Human Cancers for Retrovirus by Low-Stringency Target Enrichment and High-Throughput Sequencing'. Together they form a unique fingerprint.

    Cite this