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Combinatorial Nucleoside-Deletion-Scaiming Mutagenesis of Functional DNA

机译:功能性DNA的组合核苷缺失诱变诱变

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摘要

Artificial functional DNA molecules, such as deoxyribozymes and aptamers, find increasing applications in research areas ranging from biochemistry and molecular engineering to experimental medicine. Such functional single-stranded oligonucleotides are generally identified by in vitro selection from random-sequence DNA pools. The size of the initially randomized region is mostly arbitrarily chosen, and spans from as few as 20 nucleotides (nt) to more than 200 nt. Although DNA sequences with desired activities may initially be discovered from pools with longer random regions, short sequences are usually preferred for practical applications. Computational analyses including sequence-alignment and structure-prediction methods typically need large datasets to reliably identify functional motifs. These approaches are often limited by the absence of partial randomization and reselec-tion data for reported functional sequences. Advances in this direction are expected based on increased utilization of next-generation sequencing techniques in nucleic acid in vitro selection and screening approaches. However, for the analysis and optimization of known functional nucleic acids, an experimentally simple and reliable method for minimization and characterization of active sequences is currently not available.
机译:人造功能性DNA分子,例如脱氧核酶和适体,在从生物化学和分子工程到实验医学的研究领域中发现越来越多的应用。此类功能性单链寡核苷酸通常通过从随机序列DNA库中进行体外选择来鉴定。最初随机区域的大小通常是任意选择的,范围从20个核苷酸(nt)到200多个核苷酸。尽管最初可能会从具有较长随机区域的库中发现具有所需活性的DNA序列,但对于实际应用而言,通常首选短序列。包括序列比对和结构预测方法在内的计算分析通常需要大型数据集才能可靠地识别功能基序。这些方法通常受到所报告功能序列缺乏部分随机化和选择数据的限制。随着下一代测序技术在核酸体外选择和筛选方法中的利用率不断提高,有望在这一方向上取得进展。但是,对于已知功能核酸的分析和优化,目前尚没有用于最小化和表征活性序列的实验上简单可靠的方法。

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