通过条形码技术优化核酸输送系统。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-03-25 DOI:10.1021/acssynbio.3c00602
Soan Park, Mibang Kim and Jeong Wook Lee*, 
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引用次数: 0

摘要

传统的生物实验通常侧重于体外检测,因为在体内处理多种变量时存在固有的局限性,包括耗费大量人力和时间的程序。通常只有一部分在体外实验中表现出显著疗效的样本才能在体内进行评估。尽管如此,由于体外和体内试验之间的相关性较低,因此在体内而不只是在体外对所研究的变量进行评估至关重要。实现高通量体内测试的一种新方法是使用由各种核苷酸组合组成的条形码系统。每种变体都有唯一的条形码,可同时对多个实体进行检测,而无需分别进行单独检测。随后,为了确定关键参数,收集样本并使用条形码测序进行分析。本综述探讨了条形码设计的发展及其应用,包括核酸传递系统的评估和体内基因表达的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Optimizing Nucleic Acid Delivery Systems through Barcode Technology

Conventional biological experiments often focus on in vitro assays because of the inherent limitations when handling multiple variables in vivo, including labor-intensive and time-consuming procedures. Often only a subset of samples demonstrating significant efficacy in the in vitro assays can be evaluated in vivo. Nonetheless, because of the low correlation between the in vitro and in vivo tests, evaluation of the variables under examination in vivo and not solely in vitro is critical. An emerging approach to achieve high-throughput in vivo tests involves using a barcode system consisting of various nucleotide combinations. Unique barcodes for each variant enable the simultaneous testing of multiple entities, eliminating the need for separate individual tests. Subsequently, to identify crucial parameters, samples were collected and analyzed using barcode sequencing. This review explores the development of barcode design and its applications, including the evaluation of nucleic acid delivery systems and the optimization of gene expression in vivo.

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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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