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

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 esse...

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Autores principales: Bril, Oscar, Schwarzmueller, Laura J., Moreno, Leandro F., Vermeulen, Louis, Léveillé, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550846/
https://www.ncbi.nlm.nih.gov/pubmed/37773752
http://dx.doi.org/10.1016/j.xpro.2023.102588
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author Bril, Oscar
Schwarzmueller, Laura J.
Moreno, Leandro F.
Vermeulen, Louis
Léveillé, Nicolas
author_facet Bril, Oscar
Schwarzmueller, Laura J.
Moreno, Leandro F.
Vermeulen, Louis
Léveillé, Nicolas
author_sort Bril, Oscar
collection PubMed
description 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.
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spelling pubmed-105508462023-10-06 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 STAR Protoc Protocol 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. Elsevier 2023-09-28 /pmc/articles/PMC10550846/ /pubmed/37773752 http://dx.doi.org/10.1016/j.xpro.2023.102588 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Bril, Oscar
Schwarzmueller, Laura J.
Moreno, Leandro F.
Vermeulen, Louis
Léveillé, Nicolas
Identifying essential long non-coding RNAs in cancer using CRISPRi-based dropout screens
title Identifying essential long non-coding RNAs in cancer using CRISPRi-based dropout screens
title_full Identifying essential long non-coding RNAs in cancer using CRISPRi-based dropout screens
title_fullStr Identifying essential long non-coding RNAs in cancer using CRISPRi-based dropout screens
title_full_unstemmed Identifying essential long non-coding RNAs in cancer using CRISPRi-based dropout screens
title_short Identifying essential long non-coding RNAs in cancer using CRISPRi-based dropout screens
title_sort identifying essential long non-coding rnas in cancer using crispri-based dropout screens
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550846/
https://www.ncbi.nlm.nih.gov/pubmed/37773752
http://dx.doi.org/10.1016/j.xpro.2023.102588
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