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Optimizing Messenger RNA Analysis Using Ultra-Wide Pore Size Exclusion Chromatography Columns
Valentina D'Atri1,2, Honorine Lardeux1,2, Alexandre Goyon3
1School of Pharmaceutical Sciences, University of Geneva, CMU-Rue Michel Servet 1, 1211 Geneva, Switzerland.
International Journal of Molecular Sciences
|June 19, 2024
Summary
Size exclusion chromatography (SEC) with 1000 Å pore columns effectively characterizes messenger ribonucleic acid (mRNA) products. Optimizing mobile phase and flow rate is crucial for accurate impurity profiling in mRNA therapeutics.
Area of Science:
- Biopharmaceutical analysis
- Chromatographic techniques
- Nucleic acid characterization
Background:
- Messenger ribonucleic acid (mRNA) therapies offer significant potential for treating various diseases.
- Product quality and safety are paramount for mRNA therapeutics, with impurities like fragments and aggregates impacting efficacy.
- Robust analytical methods are essential for characterizing mRNA products and ensuring their quality.
Purpose of the Study:
- To explore the utility of size exclusion chromatography (SEC) for characterizing messenger ribonucleic acid (mRNA) products.
- To identify optimal chromatographic conditions for the analysis of mRNA size variants and impurities.
- To establish a reliable SEC method for quality control of diverse mRNA samples.
Main Methods:
- Utilized state-of-the-art ultra-wide pore size exclusion chromatography (SEC) columns (1000 Å and 2500 Å).
- Investigated the impact of mobile phase composition, including magnesium chloride (MgCl2) concentration.
- Evaluated the effects of column length and flow rate on mRNA separation and impurity detection.
Main Results:
- A 1000 Å pore size column was optimal for analyzing mRNA products across a wide size range (500–5000 nucleotides).
- Addition of 10 mM MgCl2 improved resolution and recovery of large mRNA variants in specific samples.
- Increased column length or decreased flow rate led to apparent increases in low-molecular-weight species and peak tailing.
Conclusions:
- Optimized SEC methods provide effective characterization of mRNA products, crucial for therapeutic development.
- The 1000 Å SEC method is suitable for analyzing mRNA products from various suppliers and conditions.
- Careful consideration of chromatographic parameters is necessary to avoid artifacts and ensure accurate mRNA impurity profiling.

