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Optimized minimal genome-wide human sgRNA library.
Zhou, Yangfan; Wang, Lixia; Lu, Zhike; Yu, Zhenxing; Ma, Lijia.
Affiliation
  • Zhou Y; College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Wang L; School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, 310030, Zhejiang, China.
  • Lu Z; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China.
  • Yu Z; School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, 310030, Zhejiang, China.
  • Ma L; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China.
Sci Rep ; 13(1): 11569, 2023 07 18.
Article in En | MEDLINE | ID: mdl-37464007
ABSTRACT
Genome-wide clustered regularly interspaced short palindromic repeats (CRISPR)-based knockout screening is revolting the genetic analysis of a cellular or molecular phenotype in question but is challenged by the large size of single-guide RNA (sgRNA) library. Here we designed a minimal genome-wide human sgRNA library, H-mLib, which is composed of 21,159 sgRNA pairs assembled based on a dedicated selection strategy from all potential SpCas9/sgRNAs in the human genome. These sgRNA pairs were cloned into a dual-gRNA vector each targeting one gene, resulting in a compact library size nearly identical to the number of human protein-coding genes. The performance of the H-mLib was benchmarked to other CRISPR libraries in a proliferation screening conducted in K562 cells. We also identified groups of core essential genes and cell-type specific essential genes by comparing the screening results from the K562 and Jurkat cells. Together, the H-mLib exemplified high specificity and sensitivity in identifying essential genes while containing minimal library complexity, emphasizing its advantages and applications in CRISPR screening with limited cell numbers.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome, Human / RNA, Guide, CRISPR-Cas Systems Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome, Human / RNA, Guide, CRISPR-Cas Systems Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: China