发起人
基因
计算生物学
生物
基因表达
调节顺序
遗传学
合成生物学
选择(遗传算法)
基因表达调控
启动子活性
转录组
计算机科学
人工智能
作者
Michael L. Roberts,Polyxeni Katsoupi,Vivian Tseveleki,Era Taoufik
标识
DOI:10.1007/978-1-4939-7223-4_8
摘要
Synthetic promoters have been developed in a number of different organisms and are capable of mediating specific and enhanced levels of gene expression. Typically, cis-regulatory regions from a few genes are randomly combined to generate a synthetic promotersynthetic promoter library, and the sequences with the highest activity are selected for in target cell lines. Here we describe a novel approach that can be employed in the construction of synthetic promoterssynthetic promoters. Specifically, we use gene expression profiles obtained from microarraymicroarray datasets to select the cis-regulatory Cancer Colorectal elements that comprise the synthetic promoter library. By adopting this approach, we were able to construct several promoters that could specifically mediate gene expression in colorectal cancerCancerColorectal cells. We develop a new selection criteria based on the observed transcriptome of target cells, the frequency that identified cis-regulatory sequences occur in identified gene modules, and the length of identified cis-regulatory regions. Our method allows for the generation of synthetic promoter libraries with increased level of specificity and facilitates the selection of promoters that are highly active only under predefined gene expression profiles.
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