Molecular and Cell Biology Team, National Measurement Laboratory, LGC, Teddington, Middlesex, TW11 0LY, United Kingdom.
Statistics Team, LGC, Teddington, Middlesex, TW11 0LY, United Kingdom.
Anal Chem. 2022 Apr 12;94(14):5566-5574. doi: 10.1021/acs.analchem.1c05134. Epub 2022 Mar 31.
The use of standardized components and processes in engineering underpins the design-build-test model, and the engineering of biological systems is no different. Substantial efforts to standardize both the components and the methods to validate the engineered biological systems is ongoing. This study has developed a panel of control materials encoding the commonly used reporter genes GFP and RFP as DNA or RNA molecules. Each panel contained up to six samples with increasingly small copy number differences between the two reporter genes that ranged from 1- to 2-fold differences. These copy number differences represent the magnitude of changes that may need to be measured to validate an engineered system. Using digital PCR (dPCR), we demonstrated that it is possible to quantify changes in both gene and gene transcript numbers both within and between samples down to 1.05-fold. We corroborated these findings using a simple gene circuit within a bacterial model to demonstrate that dPCR was able to precisely identify small changes in gene expression of two transcripts in response to promoter stimulation. Finally, we used our findings to highlight sources of error that can contributed to the measurement uncertainty in the measurement of small ratios in biological systems. Together, the development of a panel of control materials and validation of a high accuracy method for the measurement of small changes in gene expression, this study can contribute to the engineering biology "toolkit" of methods and materials to support the current standardization efforts.
工程学中使用标准化组件和流程是设计-建造-测试模型的基础,生物系统工程也不例外。目前正在大力标准化组件和验证工程生物系统的方法。本研究开发了一组控制材料,这些控制材料将常用的报告基因 GFP 和 RFP 编码为 DNA 或 RNA 分子。每个面板最多包含六个样本,两个报告基因之间的拷贝数差异逐渐增大,从 1 到 2 倍不等。这些拷贝数差异代表了需要测量以验证工程系统的变化幅度。使用数字 PCR(dPCR),我们证明了可以在样本内和样本之间定量测量基因和基因转录物数量的变化,低至 1.05 倍。我们使用细菌模型中的一个简单基因回路验证了这些发现,证明 dPCR 能够精确识别两个转录物在启动子刺激下基因表达的微小变化。最后,我们利用我们的发现强调了可能导致生物系统中小比值测量不确定度的误差源。总之,控制材料的开发和高精度测量基因表达微小变化的方法的验证,本研究可以为支持当前标准化努力的生物工程“工具包”中的方法和材料做出贡献。