Synthetic Mammalian RNA-Based Auxiliary Module for High Gene Expression.

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Doaa Ali-Naffaa, Roee Samuel, Orr Bar Natan, Yosef Shamay, Ramez Daniel
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引用次数: 0

Abstract

Synthetic and native switchable genetic expression systems are extensively used in basic research and a wide range of applications in biomedicine and biotechnology. Leakiness, which represents promoter activity prior to the presence of an appropriate instigator, could have negative consequences ranging from ineffective biological sensor systems to toxic side effects in medical applications. Here, we construct an auxiliary RNA-based augmentation system rooted in mutual inhibition that can be added to existing systems without modifying the involved transcription factors, promoters, or output genes. This system utilizes a constitutively expressed small hairpin RNA to reduce the expression level of a target gene, which is governed by a responsive promoter. Additionally, a second promoter, identical to the output promoter, drives the expression of a binding-site sponge specifically designed to sequester the shRNA, thereby mitigating its inhibitory effect. Following mathematical modeling, we examine the experimental effectiveness of the system in reducing the leakiness and enhancing the fold change of the doxycycline-inducible Tet-On system tested in a two- and three-dimensional spheroid setting, a GAL4-inducible system, and a native cancer-specific promoter-pH2A1.

合成基于哺乳动物rna的高基因表达辅助模块。
合成和天然可切换基因表达系统广泛应用于基础研究和生物医学、生物技术等领域。漏性,代表启动子在适当的诱导物存在之前的活性,可能会产生负面后果,从无效的生物传感器系统到医学应用中的毒副作用。在这里,我们构建了一个基于相互抑制的辅助rna增强系统,可以在不修改相关转录因子、启动子或输出基因的情况下添加到现有系统中。该系统利用组成表达的小发夹RNA来降低由响应性启动子控制的靶基因的表达水平。此外,第二个启动子与输出启动子相同,驱动专门设计用于隔离shRNA的结合位点海绵的表达,从而减轻其抑制作用。通过数学建模,我们检验了该系统在减少泄漏和增强二维和三维球体环境中测试的多西环素诱导Tet-On系统,gal4诱导系统和天然癌症特异性启动子ph2a1的实验有效性。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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