CRISPR-mediated Loss of Function Analysis in Cerebellar Granule Cells Using In Utero Electroporation-based Gene

Weijun Feng1, Lena Herbst2, Peter Lichter2

  • 1Division of Molecular Neurogenetics, German Cancer Research Center (DKFZ), DKFZ-ZMBH Alliance.

Insights

This study introduces a new method for creating CRISPR-mediated somatic mutations in mouse cerebellum stem cells. This technique enables efficient gene editing and phenotypic analysis for studying brain malformations.

Area of Science:

  • Neuroscience
  • Genetics
  • Developmental Biology

Background:

  • Genetic mutations are a key cause of brain malformations.
  • Validating gene mutations in animal models is crucial for understanding disease development.
  • Non-germline genetically engineered mouse models (GEMMs) offer a feasible approach for gene function studies, especially for somatic mutations.

Purpose of the Study:

  • To develop a method for inducing CRISPR-mediated somatic mutations in the cerebellum.
  • To establish a technique for efficient gene delivery into embryonic cerebellar cells.
  • To propose a novel quantitative approach for assessing CRISPR-mediated loss-of-function phenotypes.

Main Methods:

  • Utilized conditional knock-in mice with Cas9 and GFP activated by a CAG promoter upon Cre recombination.
  • Designed single-guide RNAs (sgRNAs) and Cre recombinase encoded in a single plasmid construct.
  • Delivered plasmid constructs into cerebellar stem/progenitor cells via in utero electroporation at embryonic stages.

Main Results:

  • Successfully achieved CRISPR-mediated somatic mutations in the cerebellum.
  • Demonstrated efficient gene delivery and labeling of transfected cells and their progeny with GFP.
  • Established a foundation for quantitative assessment of loss-of-function phenotypes.

Conclusions:

  • The developed method enables effective gene editing in embryonic cerebellar cells.
  • This approach facilitates the study of somatic mutations in brain development and disease.
  • The technique provides a novel quantitative method for analyzing gene function and loss-of-function phenotypes.

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