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Advances in methods and software for RNA cytosine methylation analysis.
Xu, Xiguang; Wei, Xiaoran; Xie, Hehuang.
Afiliação
  • Xu X; Fralin Life Sciences Institute at Virginia Tech, Blacksburg, VA 24061, USA; Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
  • Wei X; Fralin Life Sciences Institute at Virginia Tech, Blacksburg, VA 24061, USA; Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA 24061, USA.
  • Xie H; Fralin Life Sciences Institute at Virginia Tech, Blacksburg, VA 24061, USA; Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA 24061, USA. Electronic address: davidxie@vt.edu.
Genomics ; 112(2): 1840-1846, 2020 03.
Article em En | MEDLINE | ID: mdl-31678155
ABSTRACT
Our understanding of RNA modifications has been growing rapidly over the last decade. Epitranscriptomics has recently emerged as an exciting, new field for understanding the fundamental mechanisms underlying RNA modifications and their impact on gene expression. Among the over one hundred different kinds of RNA modifications, cytosine methylation in mRNA (5-mrC) is now recognized as an important epigenetic mark that modulates mRNA transportation, translation, and stability at the post-transcriptional level. Across plant and animal species, recent studies have revealed the roles of mRNA cytosine methylation in several fundamental biological processes. In mammals, genome-wide profiling has determined thousands of mRNA transcripts carrying the 5-mrC modification in a tissue specific manner. Here, we summarize the experimental techniques that were exploited to determine 5-mrC in mRNA and the computational procedures implemented for RNA bisulfite sequencing data analysis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Processamento Pós-Transcricional do RNA / Análise de Sequência de RNA / Epigenômica Idioma: En Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Processamento Pós-Transcricional do RNA / Análise de Sequência de RNA / Epigenômica Idioma: En Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos