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Mapping the functional impact of non-coding regulatory elements in primary T cells through single-cell CRISPR screens

Alda-Catalinas, C.; Ibarra-Soria, X.; Flouri, C.; Esparza-Gordillo, J.; Cousminer, D.; Hutchinson, A.; Krejci, A.; Cortes, A.; Acevedo, A.; Malla, S.; Fishwick, C.; Drewes, G.; Rapiteanu, R.

2023-05-14 genomics
10.1101/2023.05.14.540711 bioRxiv
Show abstract

Drug targets with human genetic evidence are expected to increase clinical success by at least two-fold. Yet, translating disease-associated genetic variants into functional knowledge remains a fundamental challenge of early drug discovery. A key issue is that, currently, the vast majority of complex disease associations cannot be cleanly mapped to a gene. Immune disease-associated variants are enriched within regulatory elements, such as distal enhancers, found in T cell-specific open chromatin regions. To identify the genes and thus the molecular programs modulated by these regulatory elements, we developed a CRISPRi-based single-cell functional screening approach in primary human CD4+ T cells. Our pipeline enables the interrogation of transcriptomic changes induced by the perturbation of regulatory elements at scale. We first optimised a highly efficient CRISPRi protocol in primary human CD4+ T cells via CROPseq vectors. Subsequently, we performed a proof-of-concept screen targeting 45 non-coding regulatory elements and 35 transcription start sites and profiled approximately 250,000 CD4+ T cell single-cell transcriptomes. We developed a bespoke analytical pipeline for element-to-gene (E2G) mapping and demonstrate that our method can identify both previously annotated and novel E2G links. Lastly, we integrated genetic association data for immune-related traits and demonstrate how our platform can aid in the identification of effector genes for GWAS loci.

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