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Updated: Jun 26, 2026

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
Published on: April 25, 2022
Recombination rates of human microRNA
Huizhi Zhao1, Dong Wang, Bing Liu
1LIAMA Center for Computational Medicine and National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Abstract:
The fact that microRNAs play a role in almost all biological processes is well established, as is the importance of recombination in generating genome variability. However, the association between microRNAs and recombination remains largely unknown. In order to investigate the recombination patterns of microRNAs, we performed a comprehensive analysis of the recombination rate of human microRNAs. We observed that microRNAs that are expressed in several tissues tend to have lower recombination rates than tissue-specific microRNAs. Additionally, microRNAs that are associated with a number of diseases are also likely to have lower recombination rates. Furthermore, microRNAs with higher expression levels are found to have fewer recombination events. These findings reveal patterns in recombination rates of microRNAs that could help in understanding the function, evolution, and disease-related roles of microRNAs.
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