Maji Ranjan Kumar, Schulz Marcel H
Goethe University Frankfurt, Institute for Computational Genomic Medicine & Institute for Cardiovascular Regeneration, Frankfurt, Germany.
Methods Mol Biol. 2025;2883:325-341. doi: 10.1007/978-1-0716-4290-0_14.
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.
微小RNA（miRNA）是一类长度为21 - 25个核苷酸的小型非编码RNA（sncRNA）。这些sncRNA通过杂交来抑制其靶基因并抑制蛋白质翻译，从而控制细胞中的调节功能。整合时间序列匹配的小RNA和RNA测序数据能够在发育过程中或对诸如应激等刺激作出反应时，通过miRNA研究动态基因调控。在这里，我们总结了一些分析策略，如基于概率和回归的模型，这些策略利用时间维度来研究miRNA调控的复杂性。
