Department of Materials Science and Engineering, Iowa State University, Ames, IA, USA.
Crop Bioengineering Center, Iowa State University, Ames, IA, USA.
Sci Rep. 2021 Apr 8;11(1):7695. doi: 10.1038/s41598-021-86549-9.
Biolistic delivery is widely used for genetic transformation but inconsistency between bombardment samples for transient gene expression analysis often hinders quantitative analyses. We developed a methodology to improve the consistency of biolistic delivery results by using a double-barrel device and a cell counting software. The double-barrel device enables a strategy of incorporating an internal control into each sample, which significantly decreases variance of the results. The cell counting software further reduces errors and increases throughput. The utility of this new platform is demonstrated by optimizing conditions for delivering DNA using the commercial transfection reagent TransIT-2020. In addition, the same approach is applied to test the efficacy of multiple gRNAs for CRISPR-Cas9-mediated gene editing. The novel combination of the bombardment device and analysis method allows simultaneous comparison and optimization of parameters in the biolistic delivery. The platform developed here can be broadly applied to any target samples using biolistics, including animal cells and tissues.
弹道式转移广泛用于遗传转化,但由于用于瞬时基因表达分析的轰击样品不一致,往往会阻碍定量分析。我们开发了一种方法,通过使用双筒装置和细胞计数软件来提高弹道式转移结果的一致性。双筒装置使每个样品都能采用内部控制策略,这显著降低了结果的差异。细胞计数软件进一步减少了误差并提高了通量。通过使用商业转染试剂 TransIT-2020 优化 DNA 传递条件,证明了这个新平台的实用性。此外,还采用相同的方法来测试 CRISPR-Cas9 介导的基因编辑的多个 gRNA 的功效。这种新型的轰击装置和分析方法的组合允许在弹道式转移中同时比较和优化参数。这里开发的平台可以广泛应用于任何使用弹道式转移的目标样品,包括动物细胞和组织。