Latifi Brandon, Cole Kyle H, Vu Michael M K, Lupták Andrej
Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA 92697, United States.
Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA 92697, United States.
Nucleic Acids Res. 2025 Apr 10;53(7). doi: 10.1093/nar/gkaf307.
Many strategies have been implemented to enrich an RNA population for a selectable function, but demarcation of the optimal functional motifs or minimal structures within longer libraries remains a lengthy and tedious process. To overcome this problem, we have developed a technique that isolates minimal active segments from complex heterogeneous pools of RNAs. This method allows for truncations to occur at both 5' and 3' ends of functional domains and introduces independent primer-binding sequences, thereby removing sequence and structure bias introduced by constant-sequence regions. We show examples of minimization for genomic and synthetic aptamers and demonstrate that the method can directly reveal an active RNA assembled from multiple strands, facilitating the development of heterodimeric structures used in cellular sensors. This approach provides a pipeline to experimentally define the boundaries of active domains and accelerate the discovery of functional RNAs.
为了富集具有可选择功能的RNA群体,人们已经实施了许多策略,但在较长的文库中划定最佳功能基序或最小结构仍然是一个漫长而繁琐的过程。为了克服这个问题,我们开发了一种技术,该技术可从复杂的异质RNA池中分离出最小的活性片段。这种方法允许在功能域的5'和3'末端都发生截短,并引入独立的引物结合序列,从而消除由恒定序列区域引入的序列和结构偏差。我们展示了基因组和合成适体最小化的示例,并证明该方法可以直接揭示由多链组装而成的活性RNA,促进用于细胞传感器的异二聚体结构的开发。这种方法提供了一个实验性定义活性域边界并加速功能性RNA发现的流程。