Medicinal Chemistry, Research & Early Development, Respiratory & Immunology, BioPharmaceutical R&D, AstraZeneca, Gothenburg, Sweden.
Translational Science Experimental Medicine, Research & Early Development, Respiratory & Immunology, BioPharmaceutical R&D, AstraZeneca, Gothenburg, Sweden.
Nucleic Acids Res. 2024 Apr 12;52(6):2792-2807. doi: 10.1093/nar/gkae141.
microRNA (miRNA) mimics are an emerging class of oligonucleotide therapeutics, with a few compounds already in clinical stages. Synthetic miRNAs are able to restore downregulated levels of intrinsic miRNAs, allowing for parallel regulation of multiple genes involved in a particular disease. In this work, we examined the influence of chemical modifications patterns in miR-200c mimics, assessing the regulation of a selection of target messenger RNAs (mRNA) and, subsequently, of the whole transcriptome in A549 cells. We have probed 37 mimics and provided an initial set of instructions for designing miRNA mimics with potency and selectivity similar to an unmodified miRNA duplex. Additionally, we have examined the stability of selected mimics in serum. Finally, the selected two modification patterns were translated to two other miRNAs, miR-34a and miR-155. To differing degrees, these designs acted on target mRNAs in a similar manner to the unmodified mimic. Here, for the first time, we describe a structured overview of 'miRNA mimics modification templates' that are chemically stabilised and optimised for use in an in vitro set up and highlight the need of further sequence specific optimization when mimics are to be used beyond in vitro tool experiments.
microRNA (miRNA) 模拟物是一类新兴的寡核苷酸治疗药物,已有几种化合物处于临床阶段。合成 miRNA 能够恢复内在 miRNA 的下调水平,从而平行调节涉及特定疾病的多个基因。在这项工作中,我们研究了 miR-200c 模拟物的化学修饰模式的影响,评估了在 A549 细胞中对选定靶信使 RNA (mRNA) 的调控,随后对整个转录组进行了调控。我们研究了 37 种模拟物,并为设计 miRNA 模拟物提供了一套初步的指导原则,这些模拟物具有与未修饰 miRNA 双链体相似的效力和选择性。此外,我们还研究了选定模拟物在血清中的稳定性。最后,选择了两种修饰模式转化为另外两种 miRNA,miR-34a 和 miR-155。在不同程度上,这些设计以类似于未修饰模拟物的方式作用于靶 mRNA。在这里,我们首次描述了一个经过化学稳定化并针对体外设置进行优化的“miRNA 模拟物修饰模板”的结构化概述,并强调了当模拟物要在体外工具实验之外使用时,需要进一步进行序列特异性优化。