Cas12a-knock-in mice for multiplexed genome editing, disease modelling and immune-cell engineering

Kaiyuan Tang1,2,3,4, Liqun Zhou1,2,3,5, Xiaolong Tian1,2,6

  • 1Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.

PubMed

Insights

Researchers developed novel knock-in mice for advanced genome engineering. These mice enable multiplexed gene editing, aiding in disease modeling and immune cell engineering for complex genetic research.

Area of Science:

  • Genetics and Genomics
  • Molecular Biology
  • Immunology

Background:

  • Human diseases often involve complex gene interactions, necessitating advanced tools for genetic manipulation.
  • Multiplexed gene perturbations are crucial for understanding intricate gene networks and disease mechanisms.

Purpose of the Study:

  • To create and characterize knock-in mouse models for efficient, multiplexed genome engineering.
  • To establish a versatile toolkit for in vivo and ex vivo applications in gene editing and disease modeling.

Main Methods:

  • Generation of knock-in mice with conditional or constitutive expression of LbCas12a or enhanced AsCas12a at the Rosa26 locus.
  • Utilizing these mice for retrovirus-based immune-cell engineering (T cells, B cells, dendritic cells).
  • Employing adeno-associated viruses for autochthonous cancer modeling and lipid nanoparticles for liver tissue editing.

Main Results:

  • Constitutive Cas12a expression in mice showed no discernible pathology, enabling efficient multiplexed genome engineering.
  • Demonstrated successful immune-cell engineering, cancer modeling, and targeted liver tissue editing.
  • Developed a novel system for simultaneous dual-gene activation and knockout (DAKO).

Conclusions:

  • The developed Cas12a-knock-in mice provide a powerful and versatile platform for diverse genome editing applications.
  • This toolkit facilitates ex vivo and in vivo research, including immune-cell engineering and complex gene interaction studies.
  • The models are instrumental for advancing disease modeling and understanding the genetic basis of human diseases.