Identifying Genetic Regulators of Protein‐Glycan Interactions with Genome‐Wide CRISPR Screening

Abstract

AbstractGlycans are carbohydrate molecules appended to proteins and lipids on the surface of all living cells. Glycans play key roles in a wide array of biological processes, and structural changes in cell‐surface glycosylation patterns have been connected to pathogenesis of several diseases. In particular, cancer cells frequently upregulate expression of glycans that bind to inhibitory receptors (lectins) on immune cells. These glycosylated antigens systematically inhibit immune activity and protect cancer cells from immune surveillance. Understanding how cancer cells generate these glycan ligands can thus lead to identification of novel druggable targets for therapeutic intervention. However, glycan ligand biosynthesis is subject to extremely complex genetic regulation, making it difficult to identify the key genes involved in production of immune‐regulatory glycan antigens. In a recent publication, we described a CRISPR/Cas9 screening approach to identify genes that drive synthesis of ligands for glycan‐binding immune receptors. Here, we outline a detailed, step‐by‐step protocol for completing this type of genome‐wide screen. Our protocol produces a genome‐wide atlas of all genes whose expression is required for cell‐surface binding of a recombinant immune lectin. This dataset can be used both to identify novel ligands for immune lectins and annotate regulatory genes that drive changes in cancer‐associated glycosylation. Our protocol serves as a general resource for researchers interested in the detailed study of cancer glyco‐immunology. © 2023 Wiley Periodicals LLC.Basic Protocol 1: Generation of a genome‐wide CRISPR library using lentiviral transductionSupport Protocol: Generation of dCas9KRAB‐expressing K‐562 cellsBasic Protocol 2: Staining of genome‐wide CRISPR libraries with Siglec‐Fc reagents and fluorescence‐activated cell sortingBasic Protocol 3: Library amplification and sequencingBasic Protocol 4: Data analysis and hit identification