Efficient gene knockout and genetic interactions: the IN4MER CRISPR/Cas12a multiplex knockout platform

Nazanin Esmaeili Anvar1,2, Chenchu Lin1, Xingdi Ma1,2

  • 1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Insights

Researchers developed a new CRISPR-based platform, in4mer, for efficiently studying genetic interactions. This advanced tool significantly reduces the number of clones needed, making complex genetic studies more accessible and cost-effective.

Area of Science:

  • Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Genetic interactions are crucial for understanding phenotype from genotype.
  • Existing combinatorial genetic perturbation technologies in mammalian cells are inefficient and difficult to scale.
  • Paralog synthetic lethality in cancer cells presents an avenue for improving these technologies.

Approach:

  • Conducted a meta-analysis of CRISPR genetic interaction screens to identify background-independent paralog synthetic lethals.
  • Utilized the Cas12a platform for its superior sensitivity and assay replicability in genetic screens.
  • Developed the 'in4mer' genome-scale library using Cas12a, enabling up to four genes to be targeted per guide array in a single clone.

Key Points:

  • The in4mer library, with 49k clones, is significantly smaller than typical CRISPR/Cas9 monogenic libraries but targets over 4,000 paralog pairs, triples, and quads.
  • Screens demonstrated the ability to discriminate essential genes and detect synthetic lethal and masking/buffering interactions between paralogs.
  • Cas12a's capability to target multiple genes from a single guide array is central to the in4mer platform's efficiency.

Conclusions:

  • The in4mer platform, powered by Cas12a, offers a fivefold reduction in clones required for genetic interaction studies.
  • This advancement dramatically improves the cost-effectiveness and feasibility of large-scale genetic interaction research.
  • The platform enables novel capabilities for studying complex genetic interactions, particularly paralogous gene relationships.