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CASowary: CRISPR-cas13 guide RNA predictor for transcript depletion

ABSTRACT: Recent discovery of the gene editing system - CRISPR (Clustered Regularly Interspersed Short Palindromic Repeats) associated proteins (Cas), has resulted in its widespread use for improved understanding of a variety of biological systems, by enabling large-scale perturbation of the genomes and transcriptomes. Cas13, a lesser studied Cas protein, has been repurposed to allow for efficient and precise editing of RNA molecules. The Cas13 system utilizes base complementarity between a crRNA/sgRNA (crispr RNA or single guide RNA) and a target RNA transcript, to preferentially bind to only the target transcript. Unlike targeting the upstream regulatory regions of protein coding genes on the genome, the transcriptome is significantly more redundant, leading to many transcripts having wide stretches of identical nucleotide sequences. Transcripts also exhibit complex three-dimensional structures and interact with an array of RBPs (RNA Binding Proteins), both of which further limit the scope of effective target sequences. As a result, there currently exists no method to predict whether a specific sgRNA will effectively knockdown a transcript. Here we present a novel machine learning and computational tool, to predict the efficacy of a sgRNA. We used publicly available RNA knockdown data from cas13 characterization experiments1 for 555 sgRNAs targeting the transcriptome in HEK293 cells, in conjunction with transcriptome-wide protein occupancy information on RNA2. Our model utilizes a Decision Tree architecture with a set of 112 sequence and target availability features, to classify sgRNA efficacy into one of four classes, based upon expected level of target transcript knockdown. After accounting for noise in the training data set, the noise-normalized accuracy exceeds 90%. Additionally, highly effective sgRNA predictions have been experimentally validated using an independent RNA targeting cas system – CIRTS3, confirming the robustness and reproducibility of our model’s sgRNA predictions. In particular, several highly efficient sgRNA’s designed using our model against SMARCA4 gene exhibited strong agreement with experimental data supporting a 10-fold decrease in expression. Utilizing transcriptome wide protein occupancy information, CASowary can predict high quality guides for different transcripts in a cell specific manner. Applications of CASowary to whole transcriptomes should enable rapid deployment of CRISPR/Cas13 systems, facilitating the development of therapeutic interventions linked with aberrations in RNA regulatory processes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE166189 | GEO | 2021/06/30

REPOSITORIES: GEO

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Project description:CRISPR-Cas immune systems function to defend prokaryotes against potentially harmful mobile genetic elements including viruses and plasmids. The multiple CRISPR-Cas systems (Types I, II, III) each recognize and target destruction of foreign invader nucleic acids via structurally and functionally diverse effector complexes (crRNPs). CRISPR-Cas effector complexes are comprised of CRISPR RNAs (crRNAs) that contain sequences homologous to the invading nucleic acids and Cas proteins specific to each immune system type. We have previously characterized a crRNP in Pyrococcus furiosus (Pfu) that contains Cmr proteins (Type III-B) associated with one of two primary size forms of crRNAs and functions through homology-dependent cleavage of target RNAs. In the current study, we have isolated and characterized two additional native Pfu CRISPR-Cas complexes containing either Csa (Type I-A) or Cst (Type I-G) proteins and distinct profiles of associated crRNAs. For each complex, the Cas proteins were identified by tandem mass spectrometry and immunoblotting and the crRNAs by RNA deep sequencing and Northern blot analysis. The crRNAs associated with both the Csa and Cst complexes originate from each of seven total CRISPR loci and contain identical 5’ ends (8-nt CRISPR RNA repeat-derived 5’ tag sequences) but heterogeneous 3’ ends (containing variable amounts of downstream repeat sequences). These crRNA forms are distinct from Cmr-associated crRNAs, indicating different 3’ end processing pathways following primary cleavage of common pre-crRNAs. We predict that the newly identified Pfu Type I-A (Csa) and Type I-G (Cst)-containing crRNPs, like other previously characterized Type I CRISPR-Cas effector complexes, each function by carrying out crRNA-guided DNA targeting of invading mobile genetic elements. Taken together, our in-depth characterization of the three isolated native complexes provides clear evidence for three compositionally distinct crRNPs containing either Cmr, Csa, or Cst Cas proteins that together make up an impressive arsenal of CRISPR-Cas defense for a single organism. 4 Samples: Protein-associated small RNAs

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CASowary: CRISPR-cas13 guide RNA predictor for transcript depletion

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