Assessment of mRNA 5’-capping structures with liquid chromatography (LC) coupled with QTOF technology
Fang Wang, Kerstin Pohl, Zoe Zhang, Jane Luo, Todd Stawicki and Handy Yowanto Biopharma
SCIEX, USA
This technical note presents a straightforward workflow to characterize and relatively quantify the 5’-capping structures of therapeutic messenger RNA (mRNA). It enables scientists to assess different 5’-capping structures with high confidence based on high-quality accurate mass data.
Although mRNA has been studied with regards to its medical use for several decades, the SARS-CoV-2 pandemic has led to an unprecedented acceleration in the maturity of the platform. Products based on mRNA have broad potential for use as therapeutics, in applications such as cancer treatments and vaccines. Since mRNA leverages the translational machinery of the host cells, there is significantly reduced risk of unwanted post-translational modifications that can plague protein therapeutics. Nonetheless, mRNA-based products have other critical quality attributes (CQA) that directly impact both efficacy and safety. Key among these is the 5'-capping of the mRNA.1 Both the presence and specific type of 5'-cap of in vitro transcribed (IVT) mRNA have a direct impact on translational efficiency.2 Traditional biophysical techniques such as denatured gel electrophoresis or total hydrolysis have very limited utility for assessing 5' capping due to factors such as insufficient resolution, radioactive contamination and poor sensitivity. Functional assays such as protein expression in cellular assays
Sample preparation: An undisclosed, 5’-capped mRNA and its uncapped version produced via IVT were used after digestion. In order to determine the linear response of the assay, 0, 10 and 50% (mol:mol) of digested, uncapped mRNA sample were spiked into digested, capped mRNA sample.
Chromatography: An ACQUITY UPLC H-class PLUS system (Waters) equipped with an ACQUITY UPLC Oligonucleotide BEH C18 column (2.1 mm×50 mm, 1.7 µm, 130Å) was used. Mobile phase A was 15mM diisopropylethylamine (DIEA) with 100mM 1,1,1,3,3,3-hexafluoro isopropanol (HFIP) in water. Mobile phase B was 15 mM DIEA with 100 mM HFIP in 50:50 (v/v) methanol/water. The gradient used is shown in Table 1. The column temperature was held at 60°C and a flow rate of 300 µL/min was used. Unless described otherwise, an injection volume of 5 µL was employed, resulting in approximately 10 pmol (70 ng) of digested mRNA product on column.
Mass spectrometry: A TripleTOF 6600 system (SCIEX) equipped with an IonDrive Turbo V ion source was used for data acquisition. Detailed MS parameters are listed in Table 2. The data were acquired with intact protein mode on.
Data processing: Data were processed using SCIEX OS software. The Analytics module was used for quantification of reconstructed species. The Bio Tool Kit micro-application was used for detailed visualization of reconstructed data.
5’-capping of IVT mRNA is necessary to maintain the biological function of the mRNA. Therefore, it is considered a critical quality attribute (CQA).3 A typical enzymatic mRNA capping process involves three enzymatic reactions (Figure 2). The capping process results in a single nucleotide addition at the 5’ end (Cap1 in Figure 2). Since a typical therapeutic mRNA consists of thousands of nucleotides, traditional denatured gel electrophoresis does not provide enough resolution to separate the uncapped from the capped mRNA for quality control purposes. Full-length mRNA also surpasses the size range of typical LC-MS-based workflows for oligonucleotide characterization. Other reported methods such as cell-based functional assays or radiolabeling either suffer from low throughput and high variability or require the modification of the product, which is not suitable for the development of therapeutic mRNA. To address these challenges, an LC-MS workflow suitable for the detection of digested mRNA was developed. With this workflow, a detailed characterization of the 5’-capping can be performed and the efficiency of the capping can be quantified simultaneously.
The LC gradient was optimized to allow for separation of the uncapped and capped species (Figure 1A). Different amounts of phosphorylation as well as metal adducts were identified for the capped and uncapped mRNA based on the reconstructed accurate mass data (Figure 1B and C). The separation (Figure 1A) confirmed that the uncapped species were not a product of in-source fragmentation, but present in the sample.
As a control, an uncapped sample was digested and analyzed in parallel. An uncapped triphosphate-containing product was observed with low levels of monophosphate or diphosphate versions as expected. Table 3 provides a summary of all identified species. All species showed excellent resolution for raw and reconstructed data and comparability of reconstructed to raw data was confirmed (Figure 3).
To assess the capping efficiency, the intact quantification workflow in SCIEX OS software was used, as described earlier.9 In brief, raw TOF MS spectra were reconstructed and mass peaks were integrated using the Analytics module in SCIEX OS software. A customized formula was used to calculate peak area ratios of each species against the sum of all species. All identified adducts were taken into account for highest accuracy. With that approach the capping efficiency was determined to be 43.2%. The quantification can be customized to allow assessment of quantities for each species individually.
As a separate experiment, the reliability of the quantification was examined. Different amounts of the uncapped mRNA sample (0, 10 and 50%) were spiked into the capped sample prior to digestion. The digestion products were analyzed using the same LC-MS workflow (Table 1 and 2). The species contributing to the uncapped sample, specifically the triphosphate-containing version of the cleaved product, were reconstructed, integrated and their detected ratios were plotted against the known, spiked-in ratios using SCIEX OS software. A linear response was observed between the two values (Figure 4), confirming the quantitative accuracy of the approach.