Betaine improved restriction digestion

Digital Twin Fundamentals of mRNA In Vitro Transcription in Variable Scale Toward Autonomous Operation

The COVID-19 pandemic caused the rapid development of mRNA (messenger ribonucleic acid) vaccines and new RNA-based therapeutic methods. However, the approval rate for candidates has the potential to be increased, with a significant number failing so far due to efficacy, safety, and manufacturing deficiencies, hindering equitable vaccine distribution during pandemics. This study focuses on optimizing the production of mRNA, a critical component of mRNA-based vaccines, using a scalable machine by investigating the key mechanisms of mRNA in vitro transcription. First, kinetic parameters for the mRNA production process were determined. The validity of the determination and the robustness of the model are demonstrated by predicting different reactions with and without substrate limitations as well as different transcripts. The optimized reaction conditions, including temperature, urea concentration, and concentration of reaction-enhancing additives, resulted in a 55% increase in mRNA yield with a 33% reduction in truncated mRNA. Additionally, the feasibility of a segmented flow approach allowed for high-throughput screening (HTS), enabling the production of 20 vaccine candidates within a short time frame, representing a 10-fold increase in productivity, compared to nonsegmented reactions limited by the residence time in the plug flow reactor. The findings presented for the first time here contribute to the development of a fully continuous and efficient manufacturing process for mRNA and other cell and gene therapy drugs/vaccine candidates as presented in our previous work, which discussed the integration of process analytical technologies and predictive process models in a Biopharma 4.0 facility to enable the production of clinical and large-scale doses, ensuring a rapid and resilient supply of critical therapeutics. The results in this study especially highlight that the same machine and equipment can be used for screening and manufacturing different drug candidates in continuous operation. By streamlining production and adhering to quality standards, this approach enhances the industry's ability to respond swiftly to pandemics and public health emergencies, addressing the urgent need for accessible and effective vaccines.

Suppression of transforming growth factor β1 in lung alveolar epithelium-derived cells using adeno-associated virus type 2/5 vectors to carry short hairpin RNA

Since the discovery of RNA interference, short interfering RNA (siRNA) has become a standard research tool. However, expression of siRNA in lung alveolar epithelial cells has remained a problem. Adeno-associated virus (AAV) vectors are known to have low toxicity, and AAV type 5 vectors transduce these cells efficiently. In this study, LacZ expression was higher using AAV2/5-LacZ and LA-4 cells compared with transfection of plasmid or transduction to 3T12-3 cells. The authors designed 10 different siRNAs against mouse transforming growth factor β1 (Tgfβ1), selected one with the highest knockdown efficiency, and transduced the AAV vectors carrying the short hairpin RNA (shRNA) to target cells. The AAV vectors transduced LA-4 cells 50 times more efficiently than 3T12-3 cells, and suppression of Tgfβ1 protein expression was similar, at approximately 50%. Knockdown of mRNA was only seen in LA-4 cells. Inhibition of Tgfβ1 resulted in higher number of LA-4 cells, lower number of 3T12-3 cells, and decreased procollagen expression in LA-4 cells. Higher transduction was seen in H23 cells than in H1975 cells, and low transduction was seen MH-S cells. This study shows that AAV2/5 can be used to carry shRNA and suppress gene function in lung alveolar epithelium-derived cells.

Quantitative analysis of somatic mitochondrial DNA mutations by single-cell single-molecule PCR

Mitochondrial genome integrity is an important issue in somatic mitochondrial genetics. Development of quantitative methods is indispensable to somatic mitochondrial genetics as quantitative studies are required to characterize heteroplasmy and mutation processes, as well as their effects on phenotypic developments. Quantitative studies include the identification and measurement of the load of pathogenic and non-pathogenic clonal mutations, screening mitochondrial genomes for mutations in order to determine the mutation spectra and characterize an ongoing mutation process. Single-molecule PCR (smPCR) has been shown to be an effective method that can be applied to all areas of quantitative studies. It has distinct advantages over conventional vector-based cloning techniques avoiding the well-known PCR-related artifacts such as the introduction of artificial mutations, preferential allelic amplifications, and "jumping" PCR. smPCR is a straightforward and robust method, which can be effectively used for molecule-by-molecule mutational analysis, even when mitochondrial whole genome (mtWG) analysis is involved. This chapter describes the key features of the smPCR method and provides three examples of its applications in single-cell analysis: di-plex smPCR for deletion quantification, smPCR cloning for clonal point mutation quantification, and smPCR cloning for whole genome sequencing (mtWGS).

Compatible solute influence on nucleic acids: many questions but few answers

Compatible solutes are small organic osmolytes including but not limited to sugars, polyols, amino acids, and their derivatives. They are compatible with cell metabolism even at molar concentrations. A variety of organisms synthesize or take up compatible solutes for adaptation to extreme environments. In addition to their protective action on whole cells, compatible solutes display significant effects on biomolecules in vitro. These include stabilization of native protein and nucleic acid structures. They are used as additives in polymerase chain reactions to increase product yield and specificity, but also in other nucleic acid and protein applications.

Interactions of compatible solutes with nucleic acids and protein-nucleic acid complexes are much less understood than the corresponding interactions of compatible solutes with proteins. Although we may begin to understand solute/nucleic acid interactions there are only few answers to the many questions we have. I summarize here the current state of knowledge and discuss possible molecular mechanisms and thermodynamics.