Publications
STAR protocolsSep 2023 |
4
(
4
),
102588
DOI:
10.1016/j.xpro.2023.102588

Identifying essential long non-coding RNAs in cancer using CRISPRi-based dropout screens

Bril, Oscar; Schwarzmueller, Laura J; Moreno, Leandro F; Vermeulen, Louis; Léveillé, Nicolas
Product Used
Oligo Pools
Abstract
Long non-coding RNAs (lncRNAs) are emerging as key regulators in the initiation, growth, and progression of cancer. High-throughput CRISPR-based techniques systematically assess the function of genes or regulatory elements present in the human genome. Here, we present a protocol for identifying essential lncRNAs in cancer using CRISPRi-based dropout screens. We describe steps to select target sites, design guide RNAs, and generate CRISPRi cell lines. We then detail the execution and analysis of CRISPRi-based dropout screens.
Product Used
Oligo Pools

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