Programmable System of Cas13-Mediated RNA Modification and Its Biological and Biomedical Applications

Tian Tang1,2,3,4, Yingli Han1,2,3,4, Yuran Wang1,2,3,4

  • 1Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Insights

CRISPR-Cas13 systems, particularly catalytically inactive forms, offer powerful tools for RNA modification and gene expression control. These epi-transcriptional editing toolkits have diverse applications in cell biology and disease, with ongoing optimization efforts.

Area of Science:

  • Molecular Biology
  • Genetics
  • Biochemistry

Background:

  • CRISPR-Cas13 systems are RNA-targeting tools with applications in gene expression and cell fate.
  • Nuclease-deactivated Cas13 enables RNA-guided manipulation of post-transcriptional RNA modifications.
  • RNA modifications are crucial for regulating diverse cellular activities.

Purpose of the Study:

  • To review the history and components of CRISPR-Cas13 systems for RNA modification.
  • To summarize the development and applications of epi-transcriptional editing toolkits.
  • To discuss limitations and optimization strategies for CRISPR-based RNA editing.

Main Methods:

  • Review of CRISPR-Cas13 system history and RNA modification principles.
  • Focus on catalytically inactive Cas13-based epi-transcriptional editing toolkits (REPAIR, RESCUE, etc.).
  • Highlighting applications in cell biology, disease, and imaging.

Main Results:

  • Development of versatile toolkits for adenosine and cytidine base editing (REPAIR, RESCUE, xABE, xCBE).
  • Advancements in targeted RNA methylation (TRM) and photoactivatable m6A editing (PAMEC).
  • Demonstration of applications in cell biology, disease modeling, and imaging.

Conclusions:

  • CRISPR-Cas13-based epi-transcriptional editing tools offer precise control over RNA modifications.
  • These tools have significant potential in understanding and treating diseases.
  • Further optimization is needed to address limitations like off-target effects and delivery efficiency.

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