Sabantsev Matvei O, Brovin Andrew N, Gureev Maxim A, Porozov Yuri B, Chuvpilo Sergey A, Karabelsky Alexander V
Gene Therapy Department, Research Center for Translational Medicine, Sirius University of Science and Technology, Sirius Federal Territory, Krasnodar Region 354349, Russia.
Laboratory of Bio- and Chemoinformatics, HSE University, Soyuza Pechatnikov Str.16, Saint-Petersburg 190121, Russia.
ACS Bio Med Chem Au. 2025 Aug 8;5(4):738-752. doi: 10.1021/acsbiomedchemau.5c00091. eCollection 2025 Aug 20.
Currently, inteins are some of the most popular multifunctional tools in the fields of molecular biology and biotechnology. In this study, we used the surface analysis method to identify the sites of intermolecular interactions between the N and C-parts of the Ssp DnaE intein. The obtained results were used to determine the key amino acids that define the binding energy and type of contact between intein subunits. substitution of five neutral amino acids in the C-part of Ssp DnaE with methionine was validated by using oligomutagenesis of a previously assembled plasmid, which was then used for tests with HEK293 cells. GFP reconstruction assays were used to estimate changes in trans-splicing efficiency using quantitative metrics such as the number of GFP+ cells and median fluorescence intensity as well as qualitative metrics such as microphotography and fluorescence curve analysis using live-cell microscopy. The results of the tests revealed significantly decreased splicing efficiency in four out of six mutant variants, with no significant differences in the other two cases. Additionally, we performed metadynamics modeling to explain how these mutations affect the molecular mechanisms of intein-intein interactions. Finally, we found a positive correlation between the structural and free energy changes in the local minima distribution and the decrease in splicing efficiency in the I151M and A162M+A165M cases. The resulting method was used with control mutations that had an experimentally confirmed positive (A168H) or negative (T198A) effect on the splicing reaction. In summary, we propose a method of free energy surface analysis in collective variables for quick and visual evaluation of mutation effects. This approach could be applied for the development of new biotechnological and gene therapy products to overcome AAV capacity limitations.
目前,内含肽是分子生物学和生物技术领域中最受欢迎的多功能工具之一。在本研究中,我们使用表面分析方法来确定Ssp DnaE内含肽的N端和C端之间分子间相互作用的位点。所得结果用于确定定义内含肽亚基之间结合能和接触类型的关键氨基酸。通过对先前组装的质粒进行寡聚诱变,验证了将Ssp DnaE C端的五个中性氨基酸替换为甲硫氨酸,然后将其用于HEK293细胞测试。使用GFP重建试验,通过诸如GFP+细胞数量和中位荧光强度等定量指标以及诸如使用活细胞显微镜的显微摄影和荧光曲线分析等定性指标来估计反式剪接效率的变化。测试结果显示,六个突变变体中有四个的剪接效率显著降低,另外两个案例中没有显著差异。此外,我们进行了元动力学建模,以解释这些突变如何影响内含肽-内含肽相互作用的分子机制。最后,我们发现局部极小值分布中的结构和自由能变化与I151M和A162M+A165M案例中剪接效率的降低之间存在正相关。所得方法用于对剪接反应具有实验证实的正向(A168H)或负向(T198A)效应的对照突变。总之,我们提出了一种在集体变量中进行自由能表面分析的方法,用于快速直观地评估突变效应。这种方法可应用于开发新的生物技术和基因治疗产品,以克服腺相关病毒(AAV)容量限制。