Manus Bio, Waltham, MA 02453, USA.
Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155, USA.
Sci Adv. 2024 Feb 23;10(8):eadk3485. doi: 10.1126/sciadv.adk3485. Epub 2024 Feb 21.
As cellular engineering progresses from simply overexpressing proteins to imparting complex phenotypes through multigene expression, judicious appropriation of cellular resources is essential. Since codon use is degenerate and biased, codons may control cellular resources at a translational level. We investigate how partitioning transfer RNA (tRNA) resources by incorporating dissimilar codon usage can drastically alter interdependence of expression level and burden on the host. By isolating the effect of individual codons' use during translation elongation while eliminating confounding factors, we show that codon choice can trans-regulate fitness of the host and expression of other heterologous or native genes. We correlate specific codon usage patterns with host fitness and derive a coding scheme for multigene expression called the Codon Health Index (CHI, χ). This empirically derived coding scheme (χ) enables the design of multigene expression systems that avoid catastrophic cellular burden and is robust across several proteins and conditions.
随着细胞工程从简单的过表达蛋白质发展到通过多基因表达赋予复杂表型,明智地利用细胞资源至关重要。由于密码子的使用是简并的和有偏向的,因此密码子可能在翻译水平上控制细胞资源。我们研究了通过整合不同的密码子使用来分配转移 RNA(tRNA)资源如何极大地改变表达水平和对宿主的负担的相互依赖性。通过在翻译延伸过程中分离单个密码子使用的影响,同时消除混杂因素,我们表明密码子选择可以反调节宿主的适应性和其他异源或内源基因的表达。我们将特定的密码子使用模式与宿主适应性相关联,并推导出一种称为密码子健康指数(CHI,χ)的多基因表达编码方案。这种经验衍生的编码方案(χ)能够设计避免灾难性细胞负担的多基因表达系统,并且在几种蛋白质和条件下具有稳健性。