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1.
Cell genomics ; 1(1), 2021.
Article in English | EuropePMC | ID: covidwho-1876648

ABSTRACT

In brief To accelerate CRISPR-based targeting of RNA, Guo et al. present a resource with optimized RfxCas13d guide RNAs (gRNAs) to target messenger RNAs and noncoding RNAs in six common model organisms and four RNA virus families. An accompanying open access web-based platform and design tool enable optimal gRNA design for any RNA target.

2.
Cell Genom ; 1(1)2021 Oct 13.
Article in English | MEDLINE | ID: covidwho-1386739

ABSTRACT

The recent characterization of RNA-targeting CRISPR nucleases has enabled diverse transcriptome engineering and screening applications that depend crucially on prediction and selection of optimized CRISPR guide RNAs (gRNAs). Previously, we developed a computational model to predict RfxCas13d gRNA activity for all human protein-coding genes. Here, we extend this framework to six model organisms (human, mouse, zebrafish, fly, nematode, and flowering plants) for protein-coding genes and noncoding RNAs (ncRNAs) and also to four RNA virus families (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2], HIV-1, H1N1 influenza, and Middle East respiratory syndrome [MERS]). We include experimental validation of predictions by testing knockdown of multiple ncRNAs (MALAT1, HOTAIRM1, Gas5, and Pvt1) in human and mouse cells. We developed a freely available web-based platform (cas13design) with pre-scored gRNAs for transcriptome-wide targeting in several organisms and an interactive design tool to predict optimal gRNAs for custom RNA targets entered by the user. This resource will facilitate CRISPR-Cas13 RNA targeting in model organisms, emerging viral threats to human health.

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