相关实验视频

Updated: May 10, 2025

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells
07:19

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells

Published on: September 28, 2011

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在Homo sapiens mRNA 5'UTR序列中识别潜在的 рибо开关元件,使用正无标记机器学习

William S Raymond1, Jacob DeRoo1, Brian Munsky1,2

  • 1School of Biomedical Engineering, Colorado State University, Fort Collins, Colorado, United States of America.

PloS one
|April 24, 2025
PubMed
概括

研究人员开发了机器学习分类器,以识别人类mRNA中的潜在核糖突变. 这项研究强调了436个人类5'未翻译区域 (5'UTR) 作为进一步研究新型 рибо交换机功能的候选人.

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Riboswitches

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