Protocol for high-throughput screening of functional lysine residues in cell fitness
Amino acid residues are crucial to protein structure and function and have links to various human diseases. Here, we present a protocol for screening functional lysine residues across the human genome. We describe steps for designing lysine codon-targeting single-guide RNAs (sgRNAs), constructing an...
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Veröffentlicht in: | STAR protocols 2024-12, Vol.5 (4), p.103418, Article 103418 |
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Zusammenfassung: | Amino acid residues are crucial to protein structure and function and have links to various human diseases. Here, we present a protocol for screening functional lysine residues across the human genome. We describe steps for designing lysine codon-targeting single-guide RNAs (sgRNAs), constructing an sgRNA library, conducting cell fitness screenings, and acquiring screening results. This approach leverages base editing and high-throughput screening techniques to systematically examine functional amino acid residues.
For complete details on the use and execution of this protocol, please refer to Bao et al.1
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•Steps for designing a lysine codon-targeting sgRNA library across the human genome•Guidance on constructing the library using iBAR technology at high MOI•Instructions for the execution of cell fitness screening in RPE1 cells
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Amino acid residues are crucial to protein structure and function and have links to various human diseases. Here, we present a protocol for screening functional lysine residues across the human genome. We describe steps for designing lysine codon-targeting single-guide RNAs (sgRNAs), constructing an sgRNA library, conducting cell fitness screenings, and acquiring screening results. This approach leverages base editing and high-throughput screening techniques to systematically examine functional amino acid residues. |
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ISSN: | 2666-1667 2666-1667 |
DOI: | 10.1016/j.xpro.2024.103418 |