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论来识别生物体的第一个“过程体”。在之前的资助期内，我们成功地确定了火山卤黄的加工地点，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，建立的程序可用于定义其他生物体中的过程体，从而揭示关键的调节层并识别调节信号。此外，我们希望在下一个资助期展示RNA构象的变化取决于环境信号是原核生物的一般调节原理。使用不同的实验和计算机科学方法，我们将证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.