Fernández Matilde, Morel Bertrand, Corral-Lugo Andrés, Rico-Jiménez Miriam, Martín-Mora David, López-Farfán Diana, Reyes-Darias José Antonio, Matilla Miguel A, Ortega Álvaro, Krell Tino
Department of Environmental Protection, Estación Experimental del Zaidín, Consejo Superior de Investigaciones Científicas, C/Prof. Albareda, 1, 18008, Granada, Spain.
Curr Genet. 2016 Feb;62(1):143-7. doi: 10.1007/s00294-015-0528-4. Epub 2015 Oct 28.
Bacteria have evolved a variety of different signal transduction mechanisms. However, the cognate signal molecule for the very large amount of corresponding sensor proteins is unknown and their functional annotation represents a major bottleneck in the field of signal transduction. The knowledge of the signal molecule is an essential prerequisite to understand the signalling mechanisms. Recently, the identification of signal molecules by the high-throughput protein screening of commercially available ligand collections using differential scanning fluorimetry has shown promise to resolve this bottleneck. Based on the analysis of a significant number of different ligand binding domains (LBDs) in our laboratory, we identified two issues that need to be taken into account in the experimental design. Since a number of LBDs require the dimeric state for ligand recognition, it has to be assured that the protein analysed is indeed in the dimeric form. A number of other examples demonstrate that purified LBDs can contain bound ligand which prevents further binding. In such cases, the apo-form can be generated by denaturation and subsequent refolding. We are convinced that this approach will accelerate the functional annotation of sensor proteins which will help to understand regulatory circuits in bacteria.
细菌已经进化出多种不同的信号转导机制。然而,大量相应传感蛋白的同源信号分子尚不清楚,其功能注释是信号转导领域的一个主要瓶颈。信号分子的知识是理解信号传导机制的必要前提。最近,通过使用差示扫描荧光法对市售配体库进行高通量蛋白质筛选来鉴定信号分子,已显示出解决这一瓶颈的前景。基于我们实验室对大量不同配体结合结构域(LBD)的分析,我们确定了实验设计中需要考虑的两个问题。由于许多LBD需要二聚体状态来识别配体,因此必须确保所分析的蛋白质确实处于二聚体形式。许多其他例子表明,纯化的LBD可能含有结合的配体,这会阻止进一步的结合。在这种情况下,可以通过变性和随后的重折叠产生无配体形式。我们相信这种方法将加速传感蛋白的功能注释,这将有助于理解细菌中的调节回路。