Genome-scale pan-cancer interrogation of lncRNA dependencies using CasRx.
Juan J MonteroRiccardo TrozzoMaya SugdenRupert ÖllingerAlexander BelkaEkaterina ZhigalovaPaul WaetzigThomas EngleitnerMarc Schmidt-SupprianDieter SaurRoland RadPublished in: Nature methods (2024)
Although long noncoding RNAs (lncRNAs) dominate the transcriptome, their functions are largely unexplored. The extensive overlap of lncRNAs with coding and regulatory sequences restricts their systematic interrogation by DNA-directed perturbation. Here we developed genome-scale lncRNA transcriptome screening using Cas13d/CasRx. We show that RNA targeting overcomes limitations inherent to other screening methods, thereby considerably expanding the explorable space of the lncRNAome. By evolving the screening system toward pan-cancer applicability, it supports molecular and phenotypic data integration to contextualize screening hits or infer lncRNA function. We thereby addressed challenges posed by the enormous transcriptome size and tissue specificity through a size-reduced multiplexed gRNA library termed Albarossa, targeting 24,171 lncRNA genes. Its rational design incorporates target prioritization based on expression, evolutionary conservation and tissue specificity, thereby reconciling high discovery power and pan-cancer representation with scalable experimental throughput. Applied across entities, the screening platform identified numerous context-specific and common essential lncRNAs. Our work sets the stage for systematic exploration of lncRNA biology in health and disease.
Keyphrases
- genome wide
- papillary thyroid
- long non coding rna
- single cell
- squamous cell
- long noncoding rna
- gene expression
- rna seq
- healthcare
- public health
- small molecule
- dna methylation
- squamous cell carcinoma
- cancer therapy
- risk assessment
- transcription factor
- single molecule
- genome wide analysis
- network analysis
- genome wide identification
- deep learning
- electronic health record
- neural network
- human health
- genetic diversity