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m6A-express: uncovering complex and condition-specific m6A regulation of gene expression.
Zhang, Teng; Zhang, Shao-Wu; Zhang, Song-Yao; Gao, Shou-Jiang; Chen, Yidong; Huang, Yufei.
Afiliação
  • Zhang T; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an, 710027 Shaanxi, China.
  • Zhang SW; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an, 710027 Shaanxi, China.
  • Zhang SY; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an, 710027 Shaanxi, China.
  • Gao SJ; UPMC Hillman Cancer Center, Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, PA 15232, USA.
  • Chen Y; Department of Populational Health Science, University of Texas Health San Antonio, San Antonio, TX 78229, USA.
  • Huang Y; UPMC Hillman Cancer Center, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, PA 15232, USA.
Nucleic Acids Res ; 49(20): e116, 2021 11 18.
Article em En | MEDLINE | ID: mdl-34417605
ABSTRACT
N6-methyladenosine (m6A) is the most abundant form of mRNA modification and controls many aspects of RNA metabolism including gene expression. However, the mechanisms by which m6A regulates cell- and condition-specific gene expression are still poorly understood, partly due to a lack of tools capable of identifying m6A sites that regulate gene expression under different conditions. Here we develop m6A-express, the first algorithm for predicting condition-specific m6A regulation of gene expression (m6A-reg-exp) from limited methylated RNA immunoprecipitation sequencing (MeRIP-seq) data. Comprehensive evaluations of m6A-express using simulated and real data demonstrated its high prediction specificity and sensitivity. When only a few MeRIP-seq samples may be available for the cellular or treatment conditions, m6A-express is particularly more robust than the log-linear model. Using m6A-express, we reported that m6A writers, METTL3 and METTL14, competitively regulate the transcriptional processes by mediating m6A-reg-exp of different genes in Hela cells. In contrast, METTL3 induces different m6A-reg-exp of a distinct group of genes in HepG2 cells to regulate protein functions and stress-related processes. We further uncovered unique m6A-reg-exp patterns in human brain and intestine tissues, which are enriched in organ-specific processes. This study demonstrates the effectiveness of m6A-express in predicting condition-specific m6A-reg-exp and highlights the complex, condition-specific nature of m6A-regulation of gene expression.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Adenosina / Processamento Pós-Transcricional do RNA / Análise de Sequência de RNA Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Adenosina / Processamento Pós-Transcricional do RNA / Análise de Sequência de RNA Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China