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Dynamic ASXL1 Exon Skipping and Alternative Circular Splicing in Single Human Cells.
Koh, Winston; Gonzalez, Veronica; Natarajan, Sivaraman; Carter, Robert; Brown, Patrick O; Gawad, Charles.
Afiliação
  • Koh W; Departments of Bioengineering and Applied Physics, Stanford University, Stanford, CA, 94305, United States of America.
  • Gonzalez V; Departments of Oncology and Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, United States of America.
  • Natarajan S; Departments of Oncology and Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, United States of America.
  • Carter R; Departments of Oncology and Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, United States of America.
  • Brown PO; Department of Biochemistry and Howard Hughes Medical Institute, Stanford University, Stanford, CA, 94305, United States of America.
  • Gawad C; Departments of Oncology and Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, United States of America.
PLoS One ; 11(10): e0164085, 2016.
Article em En | MEDLINE | ID: mdl-27736885
ABSTRACT
Circular RNAs comprise a poorly understood new class of noncoding RNA. In this study, we used a combination of targeted deletion, high-resolution splicing detection, and single-cell sequencing to deeply probe ASXL1 circular splicing. We found that efficient circular splicing required the canonical transcriptional start site and inverted AluSx elements. Sequencing-based interrogation of isoforms after ASXL1 overexpression identified promiscuous linear splicing between all exons, with the two most abundant non-canonical linear products skipping the exons that produced the circular isoforms. Single-cell sequencing revealed a strong preference for either the linear or circular ASXL1 isoforms in each cell, and found the predominant exon skipping product is frequently co-expressed with its reciprocal circular isoform. Finally, absolute quantification of ASXL1 isoforms confirmed our findings and suggests that standard methods overestimate circRNA abundance. Taken together, these data reveal a dynamic new view of circRNA genesis, providing additional framework for studying their roles in cellular biology.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Repressoras / RNA / Processamento Alternativo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Repressoras / RNA / Processamento Alternativo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Ano de publicação: 2016 Tipo de documento: Article