DNA Optimisation Algorithms for Improved Gene Expression in the Field of Synthetic Biology
DNA Optimisation Algorithms for Improved Gene Expression in the Field of Synthetic Biology
批准号:
710406
负责人:
金额:
$12.74万
依托单位:
依托单位国家:
英国
项目类别:
GRD Proof of Concept
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --
中文摘要
牛津基因公司是一家新的生物技术公司,旨在成为英国卓越的基因和DNA质粒生产商。公司成立不到一年的时间,已经为我们的DNA产品建立了一个全球市场。基因编码蛋白质,在这个项目中,我们将开发一种技术,可以确保客户从我们这里购买的基因有效地工作。在生物学中,基因通常用一串字母A、T、G和C来表示DNA序列。这些选择字母的顺序包含了允许基因编码特定蛋白质的信息。然而,遗传密码是高度冗余的,相同的蛋白质可以用许多不同的序列(A, T, G或C的字符串)以不同的效率“工作”。这影响了基因表达和蛋白质生产的整体效率,使得很难知道哪个特定的DNA序列将是生物学研究的最佳选择。在这个项目中,我们将通过设计可以并排测试的DNA序列来消除这种复杂性,从而使我们能够确定哪种特定的DNA碱基序列最适合哺乳动物和细菌细胞。这是一个棘手的问题,因为所使用的DNA碱基的顺序可能会产生复杂的影响,可能会干扰蛋白质生产的效率。因此,我们设计了一系列实验,使我们能够生成一种独特的算法,可以应用于我们提供给客户的所有基因,以便在特定生物体中表达。这一规定将使我们成为领先的dna提供商,并为使用我们的序列的客户注入信心。
英文摘要
Oxford Genetics is a new biotechnology company that aims to become the UK’s pre-eminentproducer of genes and DNA plasmids. The company has been trading for just under one year,and has already established a worldwide market for our DNA products.Genes encode proteins, and in this project we will develop a technology that can ensure thegenes customers buy from us work efficiently. A gene is normally represented in biologyusing a string of letters, A, T, G and C to represent the DNA sequence. The order of theseletters contains the information that allows the gene to encode a particular protein. However,the genetic code is highly redundant, and the same protein can be encoded using manydifferent sequences (strings of A, T, G or C) that ‘work’ with different efficiencies. Thisinfluences the overall efficiency of gene expression and protein production, making it verydifficult to know which particular DNA sequence will be optimal for biological investigation.In this project we will deconvolute this complexity by designing DNA sequences that can betested side-by-side to enable us to determine which particular DNA base sequences work bestin mammalian and bacterial cells. This is a tricky question, as the order of the DNA basesused can have complex effects that may interfere with the efficiency of protein production.We have therefore designed a series of experiments that will enable us to generate a uniquealgorithm that can applied to all of the genes that we provide to our customers for expressionin a particular organism. This provision to our customers will position us a leading DNAprovider and instil confidence to customers using our sequences.
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