RELATe enables genome-scale engineering in fungal genomics.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 32948588.
- Also identified by DOI 10.1126/sciadv.abb8783 and PMC identifier 7500931.
- Licence recorded as CC BY-NC.
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Abstract
CRISPR-Cas9-based screening with single-guide RNA (sgRNA) libraries has emerged as a revolutionary tool for comprehensive analysis of genetic elements. However, genome-scale sgRNA libraries are currently available only in a few model organisms. The traditional approach is to synthesize thousands to tens of thousands of sgRNAs, which is laborious and expensive. We have developed a simple method, RELATe (restriction/ligation coupled with <i>Agrobacterium</i>-mediated transformation), to generate sgRNA libraries from 10 μg of genomic DNA, targeting over 98% of the protein-coding genes in the human fungal pathogen <i>Cryptococcus neoformans</i> Functional screens identified 142 potential <i>C. neoformans</i> genes contributing to blood-brain barrier penetration. We selected two cryptococcal genes, <i>SFP1</i> and <i>WDR1</i>, for a proof-of-concept demonstration that RELATe-identified genes are relevant to <i>C. neoformans</i> central nervous system infection. Our RELATe method can be used in many other fungal species and is powerful and cost-effective for genome-wide high-throughput screening for elucidating functional genomics.
Medical subject headings
- Cryptococcus
- RNA, Guide, CRISPR-Cas Systems