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Parallelized engineering of mutational models using piggyBac transposon delivery of CRISPR libraries

Xander Nuttle, Nicholas D. Burt, Benjamin Currall, Mariana Moysés-Oliveira, Kiana Mohajeri, Riya Bhavsar, Diane Lucente, Rachita Yadav, Derek J.C. Tai, James F. Gusella, Michael E. Talkowski

Research output: Contribution to journalArticlepeer-review

Abstract

New technologies and large-cohort studies have enabled novel variant discovery and association at unprecedented scale, yet functional characterization of these variants remains paramount to deciphering disease mechanisms. Approaches that facilitate parallelized genome editing of cells of interest or induced pluripotent stem cells (iPSCs) have become critical tools toward this goal. Here, we developed an approach that incorporates libraries of CRISPR-Cas9 guide RNAs (gRNAs) together with inducible Cas9 into a piggyBac (PB) transposon system to engineer dozens to hundreds of genomic variants in parallel against isogenic cellular backgrounds. This method empowers loss-of-function (LoF) studies through the introduction of insertions or deletions (indels) and copy-number variants (CNVs), though generating specific nucleotide changes is possible with prime editing. The ability to rapidly establish high-quality mutational models at scale will facilitate the development of isogenic cellular collections and catalyze comparative functional genomic studies investigating the roles of hundreds of genes and mutations in development and disease.

Original languageEnglish (US)
Article number100672
JournalCell Reports Methods
Volume4
Issue number1
DOIs
StatePublished - Jan 22 2024

Keywords

  • allelic series
  • CP: Genetics
  • CP: Stem cell
  • CRISPR
  • functional genomics
  • genome editing
  • genome engineering
  • gRNA library
  • induced pluripotent stem cells
  • mutational modeling
  • piggyBac transposon

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Genetics
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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