In mRNA manufacturing workflows, T7 RNA polymerase-based in vitro transcription is widely applied due to its strong promoter specificity and high transcriptional efficiency from linear DNA templates, enabling robust mRNA yield at scale. One key hurdle in these processes is the recurrent formation of dsRNA impurities as process-related by-products. Since dsRNA influences the downstream quality and is associated with immunostimulatory activity, their reliable detection and control are a critical challenge for development and QC teams working in T7-based production systems.

Aminoverse focuses on (enzyme-enabled) analytical technologies for dsRNA impurity detection in mRNA synthesis workflows. By integrating highly specific recognition systems with streamlined assay development, we enable fast and reproducible signal generation for RNA impurity profiling. The approach combines modular assay design, high-throughput compatibility, and standardized SOP frameworks to ensure consistent analytical performance across large screening campaigns and scalable process development environments.

During a pharma tech project Aminoverse has established a high-throughput dsRNA impurity screening in mRNA synthesis workflows.

• Detection of 3 different non-natural dsRNA formations
• High sensitivity < nM
• Provision of a screening platform for T7 RNA polymerase engineering campaign