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相关概念视频

CRISPR and crRNAs02:53

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Bacteria and archaea are susceptible to viral infections just like eukaryotes; therefore, they have developed a unique adaptive immune system to protect themselves. Clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) are present in more than 45% of known bacteria and 90% of known archaea.
The CRISPR-Cas system stores a copy of foreign DNA in the host genome and uses it to identify the foreign DNA upon reinfection. CRISPR-Cas has three different...
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CRISPR01:59

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Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...
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Homologous Recombination02:31

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The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
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相关实验视频

Updated: Jan 9, 2026

Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines
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利用不确定性量化优化CRISPR指导RNA选择.

Carl Schmitz1,2, Jacob Bradford1,2, Robert Salomone1,2,3

  • 1School of Computer Science, Queensland University of Technology, Brisbane, QLD 4000, Australia.

Biology methods & protocols
|December 1, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了使用深层组合模型在CRISPR指导RNA选择中的不确定性量化. 这种新的方法改善了指导效率的预测,并使基因组编辑的精确选择策略成为可能.

关键词:
这就是CRISPR-Cas9的特征.设计指南设计指南设计指南机器学习是机器学习.不确定性量化不确定性量化

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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 分子生物学分子生物学

背景情况:

  • CRISPR-Cas9基因组编辑利用导向RNA (gRNA) 来准特定的DNA序列.
  • 预测gRNA效率对于成功的基因编辑结果至关重要.
  • 由于不断增长的实验数据,机器学习模型越来越多地用于gRNA效率预测.

研究的目的:

  • 调查不确定性量化在预测CRISPR gRNA效率方面的实用性.
  • 开发和评估包含预测不确定性的新型指南选择策略.
  • 评估与单个模型相比,深层集合模型的性能,以预测gRNA效率.

主要方法:

  • 在gRNA效率预测中采用深度整体方法.
  • 在预测框架中集成不确定性量化.
  • 开发并测试了基于预测效率和不确定性的新指南选择策略.
  • 使用精度和基因覆盖度指标评估性能.

主要成果:

  • 深度集合模型在gRNA效率预测中表现优于单个模型.
  • 拟议的方法为预测提供了可靠的不确定性量化.
  • 结合不确定性的新策略在指导选择中实现了90%以上的精度.
  • 在老鼠基因组中,超过93%的基因被确定为合适的指南.

结论:

  • 不确定性量化是提高CRISPR gRNA选择策略的宝贵工具.
  • 深度集合方法为gRNA效率预测提供了更好的准确性和不确定性估计.
  • 开发的策略在设计更有效的基因组编辑实验方面取得了重大进展.