Stem Loop Mediated Transgene Modulation in Human T Cells.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2024-12-20 Epub Date: 2024-12-06 DOI:10.1021/acssynbio.4c00152
David Mai, Carly Harro, Aabir Sanyal, Philipp C Rommel, Neil C Sheppard, Carl H June
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引用次数: 0

Abstract

Controlling gene expression is useful for many applications, but current methods often require external user inputs, such as the addition of a drug. We present an alternative approach using cell-autonomous triggers based on RNA stem loop structures in the 3' untranslated regions (UTRs) of mRNA. These stem loops are targeted by the RNA binding proteins Regnase-1 and Roquin-1, allowing us to program stimulation-induced transgene regulation in primary human T cells. By incorporating engineered stem loops into the 3' UTRs of transgenes, we achieved transgene repression through Regnase-1 and Roquin-1 activity, dynamic upregulation upon stimulation, and orthogonal tunability. To demonstrate the utility of this system, we employed it to modulate payloads in CAR-T cells. Our findings highlight the potential of leveraging endogenous regulatory machinery in T cells for transgene regulation and suggest RNA structure as a valuable layer for regulatory modulation.

干细胞环介导的人T细胞转基因调控。
控制基因表达对许多应用都很有用,但目前的方法通常需要外部用户输入,例如添加药物。我们提出了一种替代方法,使用基于mRNA 3'非翻译区(UTRs)中的RNA干环结构的细胞自主触发器。这些茎环被RNA结合蛋白Regnase-1和Roquin-1靶向,使我们能够在原代人T细胞中编程刺激诱导的转基因调控。通过将工程茎环植入转基因的3' utr中,我们通过Regnase-1和Roquin-1活性、刺激时的动态上调和正交可调性实现了转基因抑制。为了证明该系统的实用性,我们使用它来调节CAR-T细胞中的有效载荷。我们的发现强调了利用T细胞内源性调控机制进行转基因调控的潜力,并表明RNA结构是调控调控的一个有价值的层。
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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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