In vitro cleavage validation assay of myostatin gene by CRISPR-Cas9 ribonucleoprotein complex: from PCR amplification to cleavage assay

Baig MH, Ahmad K, Moon JS, Park SY, Ho Lim J, Chun HJ, et al. Myostatin and its regulation: a comprehensive review of myostatin inhibiting strategies. Front Physiol. 2022;13:876078. https://doi.org/10.3389/fphys.2022.876078. (PMID: 35812316; PMCID: PMC9259834.).

Article  PubMed  PubMed Central  Google Scholar 

Omosule CL, Phillips CL. Deciphering Myostatin’s regulatory, metabolic, and developmental influence in skeletal diseases. Front Genet. 2021;12:662908. https://doi.org/10.3389/fgene.2021.662908.

Article  CAS  PubMed  PubMed Central  Google Scholar 

McPherron AC, Lawler AM, Lee SJ. Regulation of skeletal muscle mass in mice by a new TGF-beta superfamily member. Nature. 1997;387:83–90. https://doi.org/10.1038/387083a0.

Article  CAS  PubMed  Google Scholar 

Grobet L, Martin LJ, Poncelet D, Pirottin D, Brouwers B, Riquet J, et al. A deletion in the bovine myostatin gene causes the double-muscled phenotype in cattle. Nat Genet. 1997;17(1):71–4. https://doi.org/10.1038/ng0997-71. (PMID: 9288100.).

Article  CAS  PubMed  Google Scholar 

Qian L, Tang M, Yang J, et al. Targeted mutations in myostatin by zinc-finger nucleases result in double-muscled phenotype in Meishan pigs. Sci Rep. 2015;5:14435. https://doi.org/10.1038/srep14435.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Luo S, Liu Y, Bu L, Wang D, Wen Z, Yang Y, et al. The impact of MSTN gene editing on meat quality and metabolomics: a comparative study among three breeds of MSTN-edited and non-edited cattle. Animals. 2024;15(1):47. https://doi.org/10.3390/ani15010047.

Article  PubMed  PubMed Central  Google Scholar 

Doudna JA, Charpentier E. The new frontier of genome engineering with CRISPR-Cas9. Science. 2014;346:1258096. https://doi.org/10.1126/science.1258096.

Article  CAS  PubMed  Google Scholar 

Liao H, Wu J, VanDusen NJ, Li Y, Zheng Y. CRISPR-Cas9-mediated homology-directed repair for precise gene editing. Mol Ther Nucleic Acids. 2024;35(4):102344. https://doi.org/10.1016/j.omtn.2024.102344. (PMID: 39494147; PMCID: PMC11531618.).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kim S, Kim D, Cho SW, Kim J, Kim JS. Highly efficient RNA-guided genome editing in human cells via delivery of purified Cas9 ribonucleoproteins. Genome Res. 2014. https://doi.org/10.1101/gr.171322.113.

Article  PubMed  PubMed Central  Google Scholar 

Rio DC, Ares M Jr, Hannon GJ, Nilsen TW. Purification of RNA using TRIzol (TRI reagent). Cold Spring Harb Protoc. 2010. https://doi.org/10.1101/pdb.prot5439.

Article  PubMed  Google Scholar 

Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, et al. Primer3-new capabilities and interfaces. Nucleic Acids Res. 2012. https://doi.org/10.1093/nar/gks596.

Article  PubMed  PubMed Central  Google Scholar 

Gallegos JE, Rogers MF, Cialek CA, Peccoud J. Rapid, robust plasmid verification by de novo assembly of short sequencing reads. Nucleic Acids Res. 2020. https://doi.org/10.1093/nar/gkaa727.

Article  PubMed  PubMed Central  Google Scholar 

Labun K, Montague TG, Krause M, Torres Cleuren YN, Tjeldnes H, Valen E. CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing. Nucleic Acids Res. 2019. https://doi.org/10.1093/nar/gkz365.

Article  PubMed  PubMed Central  Google Scholar 

Concordet JP, Haeussler M. CRISPOR: intuitive guide selection for CRISPR/Cas9 genome editing experiments and screens. Nucleic Acids Res. 2018. https://doi.org/10.1093/nar/gky354.

Article  PubMed  PubMed Central  Google Scholar 

De Coster W, et al. NanoPack: visualizing and processing long-read sequencing data. Bioinformatics. 2018. https://doi.org/10.1093/bioinformatics/bty149.

Article  PubMed  PubMed Central  Google Scholar 

Miller JR, Koren S, Sutton G. Assembly algorithms for next-generation sequencing data. Genomics. 2010. https://doi.org/10.1016/j.ygeno.2010.03.001.

Article  PubMed  PubMed Central  Google Scholar 

Schatz MC, Delcher AL, Salzberg SL. Assembly of large genomes using second-generation sequencing. Genome Res. 2010. https://doi.org/10.1101/gr.101360.109.

Article  PubMed  PubMed Central  Google Scholar 

Nielsen R, Paul JS, Albrechtsen A, Song YS. Genotype and SNP calling from next-generation sequencing data. Nat Rev Genet. 2011. https://doi.org/10.1038/nrg2986.

Article  PubMed  PubMed Central  Google Scholar 

Tsai SQ, Joung JK. Mechanisms of CRISPR-Cas9 genome editing and advances in improving specificity. Nat Rev Genet. 2016. https://doi.org/10.1038/nrg.2016.28.

Article  PubMed  PubMed Central  Google Scholar 

Horlbeck MA, Witkowsky LB, Guglielmi B, Replogle JM, Gilbert LA, Villalta JE, et al. Nucleosomes impede Cas9 access to DNA in vivo and in vitro. Elife. 2016. https://doi.org/10.7554/eLife.12677.

Article  PubMed  PubMed Central  Google Scholar 

Wu X, Kriz AJ, Sharp PA. Target specificity of the CRISPR-Cas9 system. Quant Biol. 2014. https://doi.org/10.1007/s40484-014-0030-x.

Article  PubMed  PubMed Central  Google Scholar 

Chen JS, Dagdas YS, Kleinstiver BP, Welch MM, Sousa AA, Harrington LB, et al. Enhanced proofreading governs CRISPR-Cas9 targeting accuracy. Nature. 2017. https://doi.org/10.1038/nature24268.

Article  PubMed  PubMed Central  Google Scholar 

Maruyama T, Dougan SK. Beyond cutting: the role of CRISPR/Cas9 in genome repair and beyond. Curr Opin Genet Dev. 2015. https://doi.org/10.1016/j.gde.2016.01.002.

Article  Google Scholar 

Wang H, Yang H, Shivalila CS, et al. One-step generation of mice carrying mutations in multiple genes by CRISPR/Cas-mediated genome engineering. Cell. 2013;153(4):910–8.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sternberg SH, Redding S, Jinek M, Greene EC, Doudna JA. DNA interrogation by the CRISPR RNA-guided endonuclease Cas9. Nature. 2014. https://doi.org/10.1038/nature13011.

Article  PubMed  PubMed Central  Google Scholar 

Hsu PD, Scott DA, Weinstein JA, Ran FA, Konermann S, Agarwala V, et al. DNA targeting specificity of RNA-guided Cas9 nucleases. Nat Biotechnol. 2013. https://doi.org/10.1038/nbt.2647.

Article  PubMed  PubMed Central  Google Scholar 

Tsai SQ, Nguyen NT, Malagon-Lopez J, Topkar VV, Aryee MJ, Joung JK. CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR-Cas9 nuclease off-targets. Nat Methods. 2017. https://doi.org/10.1038/nmeth.4189.

Article  PubMed  PubMed Central  Google Scholar 

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