Your browser doesn't support javascript.
loading
Transcriptome-Wide Identification of 2'-O-Methylation Sites with RibOxi-Seq.
Zhu, Yinzhou; Holley, Christopher L; Carmichael, Gordon G.
Afiliação
  • Zhu Y; Department of Medicine (Cardiology Division), Duke University School of Medicine, Durham, NC, USA.
  • Holley CL; Department of Medicine (Cardiology Division), Duke University School of Medicine, Durham, NC, USA.
  • Carmichael GG; Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA.
Methods Mol Biol ; 2404: 393-407, 2022.
Article em En | MEDLINE | ID: mdl-34694622
The ability to detect 2'-O-methylation sites (Nm) in high-throughput fashion is important, as increasing evidence points to a more diverse landscape for this RNA modification as well as the possibility of yet unidentified functions. Here we describe an optimized version of RibOxi-seq, which is built upon the original published method, that not only accurately profiles ribosomal RNA (rRNA) Nm sites with minimal RNA input but is also robust enough to identify mRNA intronic and exonic sites.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma Tipo de estudo: Diagnostic_studies Idioma: En Revista: Methods Mol Biol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma Tipo de estudo: Diagnostic_studies Idioma: En Revista: Methods Mol Biol Ano de publicação: 2022 Tipo de documento: Article