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The Landscape of Circular RNA in Cancer.
Vo, Josh N; Cieslik, Marcin; Zhang, Yajia; Shukla, Sudhanshu; Xiao, Lanbo; Zhang, Yuping; Wu, Yi-Mi; Dhanasekaran, Saravana M; Engelke, Carl G; Cao, Xuhong; Robinson, Dan R; Nesvizhskii, Alexey I; Chinnaiyan, Arul M.
Afiliación
  • Vo JN; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Cieslik M; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Zhang Y; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Shukla S; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Biosciences and Bioengineering, Indian Institute of Technology Dharwad, Dharwad, 580011, India.
  • Xiao L; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Zhang Y; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Wu YM; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Dhanasekaran SM; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Engelke CG; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Cao X; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Robinson DR; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Nesvizhskii AI; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Cancer Center, Un
  • Chinnaiyan AM; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Howard Hughes Medical I
Cell ; 176(4): 869-881.e13, 2019 02 07.
Article en En | MEDLINE | ID: mdl-30735636
ABSTRACT
Circular RNAs (circRNAs) are an intriguing class of RNA due to their covalently closed structure, high stability, and implicated roles in gene regulation. Here, we used an exome capture RNA sequencing protocol to detect and characterize circRNAs across >2,000 cancer samples. When compared against Ribo-Zero and RNase R, capture sequencing significantly enhanced the enrichment of circRNAs and preserved accurate circular-to-linear ratios. Using capture sequencing, we built the most comprehensive catalog of circRNA species to date MiOncoCirc, the first database to be composed primarily of circRNAs directly detected in tumor tissues. Using MiOncoCirc, we identified candidate circRNAs to serve as biomarkers for prostate cancer and were able to detect circRNAs in urine. We further detected a novel class of circular transcripts, termed read-through circRNAs, that involved exons originating from different genes. MiOncoCirc will serve as a valuable resource for the development of circRNAs as diagnostic or therapeutic targets across cancer types.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN / Perfilación de la Expresión Génica / Neoplasias Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Cell Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN / Perfilación de la Expresión Génica / Neoplasias Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Cell Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos