RNA Structures as Processing Signals and Sensors

通过这种跨学科的方法，我们将使用分子生物学工具以及算法和信息理论来识别生物体的第一个“加工体”。在上一个供资期间，我们成功地确定了Haloferax volcanii的加工地点，从而确定了117个加工集群。有了这个广泛的数据集，我们将在下一个资助期内确定加工体并将加工信号与特定的核糖核酸酶联系起来。然后，可以使用已建立的程序来定义其他生物体中的加工体，从而解开调控的关键层并识别调控信号。此外，我们希望在下一个资助期内表明，依赖于环境信号的RNA构象变化是原核生物的一般调控原则。使用不同的实验和计算机科学方法，我们将表明在不同的条件下存在不同的RNA结构，并且结构的变化被用作基因表达的信号。

With this interdisciplinary approach we will identify the first "processosome" of an organism using molecular biology tools together with algorithmics and information theory. In the previous funding period we successfully determined the processing sites of Haloferax volcanii which resulted in the identification of 117 processing clusters. With this extensive data set we will determine the processosome and link the processing signals to specific ribonucleases in the next funding period. The established procedure can then be used to define processosomes in other organisms thereby unravelling a key layer of regulation and identifying signals for regulation. In addition, we want to show in the next funding period that variation in RNA conformation depending on environmental signals is a general regulation principle in prokaryotes. Using different experimental and computer science methods we will show that under different conditions different RNA structures exist and that a change in structure is used as signal for gene expression.