mRNA Sequence Optimization
In recent years, with the continuous development of gene editing and gene expression regulation technologies, expression regulation and optimization based on mRNA has become a hot research direction in the biomedical field. The optimization of mRNA sequences is of great significance for improving protein expression efficiency, enhancing mRNA stability, and regulating transcription and translation processes.
Codon Usage Bias in Organisms
In biology, various organisms have their own unique mRNA sequence patterns, which have complex effects on translation efficiency. For example, each organism has a preference for certain codons (preferred codons), so synonymous codons appear at different frequencies. This phenomenon is called codon usage bias, which is observed in various species. The use of codons directly affects translation efficiency and mRNA stability. At the same time, the sequence and length of UTR also vary in different organisms. UTR can affect the mRNA degradation rate and translation efficiency by interacting with RNA-binding proteins. Therefore, in heterologous expression systems based on mRNA, such as expressing viral antigens in human cells, how to optimize and convert the mRNA sequence pattern of viral genes is crucial to improving expression efficiency.
Innovative mRNA Sequence Optimization Service
There are already some direct and simple optimization strategies that are widely used, but they all have defects. Therefore, a gene-specific comprehensive optimization method is needed. In response to this demand, Creative Biogene has launched a new service that combines artificial intelligence algorithms for mRNA sequence optimization.
Figure 1. Comprehensive details on the integrated deep-learning-based mRNA optimization (iDRO) pipeline and model.
mRNA Sequence Optimization Service Content
- ORF Optimization: To determine the ideal codon arrangement, ORF is optimized using cutting-edge deep learning methods. To increase the accuracy of codon selection, a deep learning model that combines conditional random fields and bidirectional long short-term memory networks is employed.
- UTR Generation: A novel algorithm for UTR creation is created based on RNA structure. To improve translation efficiency, UTR sequences resembling the human genome are produced using the transformer-based model RNA-Bart.
- Complete mRNA Sequence Optimization: Using deep learning techniques, ORF optimization, and UTR creation are integrated to optimize the complete mRNA sequence, including the 5'UTR, ORF, and 3'UTR. The method may produce mRNA sequences with excellent translation efficiency, as confirmed by experiments.
- Experimental Verification: The optimized mRNA sequence may be translated into functional proteins with high efficiency and dramatically increased expression level by transfecting it into a cell line, as demonstrated by experiments.
Advantages of Our mRNA Sequence Optimization Service
- Efficiency: Using advanced deep learning algorithms, it can accurately optimize mRNA sequences, and improve translation efficiency and protein expression levels.
- Comprehensiveness: The service covers the optimization of the entire mRNA sequence, including 5'UTR, ORF, and 3'UTR, ensuring a comprehensive optimization effect.
- Reliability: Through experimental verification, it has been proved that the optimized mRNA sequence can be efficiently translated into functional proteins in cells, the expression level is significantly improved, and it has good reliability and stability.
Creative Biogene's mRNA sequence optimization service uses advanced artificial intelligence algorithms to comprehensively and efficiently optimize mRNA sequences, providing important support and assistance for gene expression regulation and biomedical research. Experience unparalleled efficiency and precision in mRNA optimization with Creative Biogene.
* For research use only. Not intended for any clinical use.