Scholarlink

MicroRNAs (miRNAs) are a class of small non-coding RNAs (sncRNAs) of length 21–25 nucleotides. These sncRNAs hybridize to repress their target genes and inhibit protein translation, thereby controlling regulatory functions in the cell. Integration of time-series matched small and RNA-seq data enables investigation of dynamic gene regulation through miRNAs during development or in response to a stimulus, such as stress. Here we summarize analysis strategies, such as probabilistic and regression-based models, that take advantage of the temporal dimension to investigate the complexity of miRNA regulation.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Temporal Expression Analysis to Unravel Gene Regulatory Dynamics by microRNAs

  • 实验方案

  • 发表日期：

    2025年

查看全文
  • Ranjan Kumar Maji,
  • Marcel H. Schulz

摘要

MicroRNAs (miRNAs) are a class of small non-coding RNAs (sncRNAs) of length 21–25 nucleotides. These sncRNAs hybridize to repress their target genes and inhibit protein translation, thereby controlling regulatory functions in the cell. Integration of time-series matched small and RNA-seq data enables investigation of dynamic gene regulation through miRNAs during development or in response to a stimulus, such as stress. Here we summarize analysis strategies, such as probabilistic and regression-based models, that take advantage of the temporal dimension to investigate the complexity of miRNA regulation.