Gagoski Dejan, Mureev Sergey, Giles Nichole, Johnston Wayne, Dahmer-Heath Mareike, Škalamera Dubravka, Gonda Thomas J, Alexandrov Kirill
Institute for Molecular Bioscience, University of Queensland, Australia.
University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Australia.
J Biotechnol. 2015 Feb 10;195:1-7. doi: 10.1016/j.jbiotec.2014.12.006. Epub 2014 Dec 19.
Although numerous techniques for protein expression and production are available the pace of genome sequencing outstrips our ability to analyze the encoded proteins. To address this bottleneck, we have established a system for parallelized cloning, DNA production and cell-free expression of large numbers of proteins. This system is based on a suite of pCellFree Gateway destination vectors that utilize a Species Independent Translation Initiation Sequence (SITS) that mediates recombinant protein expression in any in vitro translation system. These vectors introduce C or N terminal EGFP and mCherry fluorescent and affinity tags, enabling direct analysis and purification of the expressed proteins. To maximize throughput and minimize the cost of protein production we combined Gateway cloning with Rolling Circle DNA Amplification. We demonstrate that as little as 0.1 ng of plasmid DNA is sufficient for template amplification and production of recombinant human protein in Leishmania tarentolae and Escherichia coli cell-free expression systems. Our experiments indicate that this approach can be applied to large gene libraries as it can be reliably performed in multi-well plates. The resulting protein expression pipeline provides a valuable new tool for applications of the post genomic era.
尽管有许多蛋白质表达和生产技术可用,但基因组测序的速度超过了我们分析编码蛋白质的能力。为了解决这一瓶颈,我们建立了一个用于大量蛋白质的平行克隆、DNA生产和无细胞表达的系统。该系统基于一套pCellFree Gateway目的载体,这些载体利用物种独立翻译起始序列(SITS),可在任何体外翻译系统中介导重组蛋白表达。这些载体引入C或N端EGFP和mCherry荧光及亲和标签,能够直接分析和纯化表达的蛋白质。为了最大限度地提高通量并最小化蛋白质生产成本,我们将Gateway克隆与滚环DNA扩增相结合。我们证明,在大利什曼原虫和大肠杆菌无细胞表达系统中,低至0.1 ng的质粒DNA就足以进行模板扩增和重组人蛋白的生产。我们的实验表明,这种方法可应用于大型基因文库,因为它可以在多孔板中可靠地进行。由此产生的蛋白质表达流程为后基因组时代的应用提供了一个有价值的新工具。