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Identifying and characterizing virus-encoded circular RNAs

  1. Author:
    Tagawa, Takanobu
    Kopardé, Vishal N
    Ziegelbauer, Joseph M

  2. Author Address

    HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, United States., CCR Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States; Advanced Biomedical Computational Sciences, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, United States., HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, United States. Electronic address: ziegelbauerjm@nih.gov.,
    1. Year: 2021
    2. Date: Dec
    3. Epub Date: 2021 03 10
  2. Journal: Methods (San Diego, Calif.)
    1. 196
    2. Pages: 129-137
  4. Type of Article: Article
  5. ISSN: 1046-2023
  1. Abstract:

    Circular forms of RNA were first discovered in plant viroids and later found in a variety of animal viruses. These circular RNAs lack free 5' and 3' ends, granting protection from exonucleases. This review is focused on the methods that are used to investigate virus-encoded circular RNAs. Using DNA viruses that are prevalent among human as examples, we begin with features of circular RNAs and the unique methods to enrich for circular RNAs. Next, we discuss the computational methods for RNA-sequencing analysis to discover new virus-encoded circular RNAs. Many strategies are similar to analyzing cellular RNAs, but some unique aspects of virus-encoded circular RNAs that are likely due to highly packed viral genomes and non-canonical use of splicing machinery, are described herein. We illustrate the various methods of validating expression of specific virus-encoded circular RNAs. Finally, we discuss methods to study functions of circular RNAs and the current technical challenges that remain for investigating virus-encoded circular RNAs. Copyright © 2021. Published by Elsevier Inc.

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External Sources

  1. View Full Text
  2. DOI: 10.1016/j.ymeth.2021.03.004
  3. PMID: 33713796
  4. PMCID: PMC8445388
  5. View record in Web of Science®
  6. WOS: 000744263600016
  7. PII : S1046-2023(21)00070-0

Library Notes

  1. Fiscal Year: FY2020-2021
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