Designing custom CRISPR libraries for hypothesis-driven drug target discovery.

Iyer VS, Jiang L, Shen Y, Boddul SV, Panda SK, Kasza Z, Schmierer B, Wermeling F

Computational and Structural Biotechnology Journal 18 (-) 2237-2246 [2020-08-18; online 2020-08-18]

Over the last decade Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) has been developed into a potent molecular biology tool used to rapidly modify genes or their expression in a multitude of ways. In parallel, CRISPR-based screening approaches have been developed as powerful discovery platforms for dissecting the genetic basis of cellular behavior, as well as for drug target discovery. CRISPR screens can be designed in numerous ways. Here, we give a brief background to CRISPR screens and discuss the pros and cons of different design approaches, including unbiased genome-wide screens that target all known genes, as well as hypothesis-driven custom screens in which selected subsets of genes are targeted (Fig. 1). We provide several suggestions for how a custom screen can be designed, which could broadly serve as inspiration for any experiment that includes candidate gene selection. Finally, we discuss how results from CRISPR screens could be translated into drug development, as well as future trends we foresee in the rapidly evolving CRISPR screen field.

Bioinformatics Compute and Storage [Service]

High-throughput Genome Engineering (HTGE) [Collaborative]

QC bibliography QC xrefs

PubMed 32952937

DOI 10.1016/j.csbj.2020.08.009

Crossref 10.1016/j.csbj.2020.08.009

pii: S2001-0370(20)30362-7
pmc: PMC7479249