A recent study, published in Analytical Chemistry, features a new development in the field of messenger RNA (mRNA) technology (1). A team of researchers have developed a method to analyze mRNA poly(A) tail length and heterogeneity more efficiently, which could help evolve the landscape of therapeutic compounds that harness the potential of mRNA.
Messenger RNA has gained prominence as a powerful tool in the realm of medical treatments, with mRNA vaccines, such as those for COVID-19, demonstrating their efficacy. However, to further harness the potential of mRNA in therapeutic applications, the need for efficient analytical methods has become increasingly apparent.
This research shed light on the length and diversity of the poly(A) tail in mRNA molecules, a critical factor in mRNA stability and function. The researchers employed a multi-step approach to analyze these aspects, marking a significant milestone in the field.
First, the team used the RNase T1 enzyme to cleave the poly(A) tail from mRNA samples. The liberated poly(A) tails were then subjected to a size exclusion chromatography method, allowing for the determination of the average length of the poly(A) tail. This step provided valuable insights into the length of the poly(A) tail, which is essential for mRNA function and stability.
In addition to measuring length, the researchers were also interested in understanding the heterogeneity of the poly(A) tail. To achieve this, they employed high-resolution ion-pair reversed phase liquid chromatography (IP-RPLC). This method enabled the researchers to estimate the size heterogeneity of the poly(A) tail, even at the level of oligonucleotide variants up to 150 nucleotides long. This information is critical for understanding how the diversity of the poly(A) tail may impact mRNA function.
Both methods used ultraviolet detection. The results obtained through these techniques were further validated by conducting LC-mass spectrometry (LC–MS) analysis on the same mRNA samples, ensuring the accuracy of the findings.
The methods revealed that the poly(A) tail length and heterogeneity results obtained through the various techniques were in good agreement. This cohesiveness between methods signifies the robustness and reliability of the new analytical techniques, further cementing their importance in the study and development of mRNA-based therapeutics.
This article was written with the help of artificial intelligence and has been edited to ensure accuracy and clarity. You can read more about our policy for using AI here.
Reference
Gilar, M.; Doneanu, C.; Gaye, M. M. Liquid Chromatography Methods for Analysis of Mrna Poly(a) Tail Length and Heterogeneity. Anal. Chem. 2023, 95 (38), 14308–14316. DOI:10.1021/acs.analchem.3c02552.
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.
2024 EAS Awardees Showcase Innovative Research in Analytical Science
November 20th 2024Scientists from the Massachusetts Institute of Technology, the University of Washington, and other leading institutions took the stage at the Eastern Analytical Symposium to accept awards and share insights into their research.