
mRNA vaccines and therapeutics must be rigorously characterized before they can move forward in development, yet conventional QC methods only capture part of the picture. CD Genomics' long-read sequencing service for mRNA vaccine characterization combines PacBio and ONT platforms to confirm sequence identity, full-length integrity, poly(A) tail length, and modified nucleoside content in a single, integrated workflow.
Our service helps biopharma, biotech, and CDMO teams close the gaps left by RT-qPCR, capillary electrophoresis, and LC-MS/MS, none of which can resolve a full-length mRNA molecule and its chemistry at the same time. By sequencing the intact transcript directly, we reveal truncations, sequence variants, DNA/RNA contaminants, and incorporated modified bases that other methods can miss or only infer indirectly.
At a glance:
mRNA vaccines and therapeutics are only as good as the molecule that is manufactured. Truncated transcripts, sequence errors, heterogeneous poly(A) tails, and unconfirmed incorporation of modified nucleosides can all compromise translation efficiency, immunogenicity, and safety, yet the industry-standard toolkit of RT-qPCR, gel or capillary electrophoresis, and LC-MS/MS was never designed to read an entire mRNA molecule at once. Long-read sequencing closes this gap by capturing the full-length transcript, and everything encoded within it, in a single measurement.
Long-read sequencing for mRNA vaccine characterization uses full-length cDNA sequencing and direct native RNA sequencing to read an in-vitro transcribed mRNA molecule end to end, without breaking it into short fragments first. Because each read spans the complete transcript, the resulting data captures sequence identity, structural integrity, and 3′ poly(A) tail length simultaneously, and direct RNA sequencing further preserves chemical modifications such as N1-methylpseudouridine that are normally lost or averaged out by reverse transcription.
This capability matters because a single truncation event, sequence variant, or contaminating species anywhere along an mRNA can compromise a batch, and fragment-based methods are poorly suited to localizing exactly where and how often these defects occur. Long-read data lets our bioinformatics team map defects to specific positions in the transcript, quantify their frequency across the read population, and distinguish the intact drug substance from partial or off-target byproducts.
The approach is equally relevant to earlier-stage work on the DNA template. Our full-length plasmid sequencing service can confirm the linearized production plasmid or PCR template before in-vitro transcription, so that identity issues are caught upstream rather than discovered only after mRNA synthesis.
Every read spans the full mRNA molecule, so sequence identity, truncations, and structural variants are confirmed on the same read rather than inferred from short, reassembled fragments.
Direct RNA sequencing preserves incorporated modified nucleosides such as N1-methylpseudouridine and m5C, supporting chemistry verification that reverse-transcription-based methods cannot provide.
Long reads capture the poly(A) tail in the same molecule as the coding sequence, giving a direct read-out of tail length distribution rather than an indirect estimate.
Off-target transcripts, residual plasmid or linearized DNA template, and other process-related RNA species are identified and quantified against the intended drug substance sequence.
Sequence, integrity, poly(A) tail length, and modification status are assessed from one sequencing run, reducing the number of separate assays needed to characterize a batch.
Access to both PacBio and ONT chemistries lets us match the platform to the research question, whether that is maximum per-read accuracy or native RNA modification calling.
Detailed, position-resolved data helps R&D and process development teams pinpoint where synthesis or purification steps are introducing truncations or contaminants.
Data are delivered in a format suited to internal R&D records, non-clinical study reports, or manuscript preparation.
We begin with a quality check of the incoming linearized plasmid or PCR template and the synthesized mRNA, confirming concentration, purity, and integrity before committing material to sequencing.
For full-length cDNA sequencing, mRNA is reverse-transcribed and converted into a sequencing-ready library on either the PacBio Revio or ONT PromethION platform. For chemistry-focused studies, native mRNA is instead prepared for direct RNA sequencing without reverse transcription, preserving modified nucleosides in place.
Libraries are sequenced on PacBio Revio using HiFi circular consensus sequencing, or on ONT PromethION P24/P48 with R10.4.1 flow cells and Dorado basecalling, depending on the accuracy and modification-detection requirements of the study. Both platforms generate reads that span the complete mRNA molecule.
Reads are aligned to the reference construct and processed through pipelines tuned for synthetic mRNA, quantifying full-length rate, truncation position, poly(A) tail length distribution, contaminant abundance, and, where direct RNA sequencing was used, modification signal.
Workflow of mRNA vaccine characterization by long-read sequencing, from template QC through library preparation, PacBio or ONT sequencing, and mRNA-focused bioinformatics analysis.
| Analysis Feature | Basic mRNA QC Analysis | Advanced mRNA QC Analysis |
| Sequence identity confirmation | ✓ Alignment to reference construct | ✓ Variant calling against reference, including low-frequency events |
| Full-length / truncation analysis | ✓ Full-length read rate | ✓ Position-resolved truncation mapping across the transcript |
| Poly(A) tail length analysis | ✓ Mean tail length | ✓ Full tail length distribution and batch-to-batch comparison |
| Modified nucleoside detection | — | ✓ Modification signal from direct RNA sequencing, per-position summary |
| Contaminant / byproduct screening | ✓ Off-target read classification | ✓ Quantitative contaminant profiling and comparability reporting |
| Batch comparison | — | ✓ Multi-batch, multi-condition comparative analysis |
| Data visualization | ✓ Basic length and mapping summaries | ✓ Truncation maps, tail length histograms, modification profiles |
Different analytical technologies reveal different aspects of mRNA vaccine quality. The table below compares long-read sequencing with the RT-qPCR, capillary electrophoresis (CE), and LC-MS/MS methods that are commonly used across the industry, helping teams decide where sequencing adds the most value.
At CD Genomics, we provide both PacBio and ONT long-read platforms, allowing clients to select the chemistry that best matches their study design or to combine sequencing with existing QC methods for a fuller picture.
| Feature | Long-Read Sequencing (PacBio/ONT) | RT-qPCR / CE | LC-MS/MS |
| Reads the full-length molecule | ✔ Yes | ✘ Indirect (size or Ct only) | ✘ Digested fragments only |
| Confirms sequence identity | ✔ Base-level | ✘ Targeted regions only | ✘ No |
| Localizes truncations | ✔ Position-resolved | ✘ Size estimate only | ✘ No |
| Measures poly(A) tail length | ✔ Direct, per-molecule | ✔ Indirect (bulk estimate) | ✔ Indirect |
| Detects modified nucleosides | ✔ Native signal (direct RNA-seq) | ✘ No | ✔ Chemical identity only |
| Assigns modifications to positions | ✔ Yes | ✘ No | ✘ No |
| Detects contaminants / byproducts | ✔ Sequence-resolved | ✘ Limited | ✔ Partial |
| Best use case | Sequence, integrity, poly(A), and modification QC in one workflow | High-throughput routine identity/size screening | Chemical modification identity and quantification |
| Main limitations | Lower throughput than routine QPCR/CE for large batch screening | Cannot resolve full-length structure or modification position | No sequence or positional information |
Because CD Genomics supports both PacBio and ONT platforms, clients can build layered QC strategies that pair long-read sequencing with their existing analytical methods.
| Category | Requirement | Notes |
| Sample type | In-vitro transcribed mRNA (naked or post-purification) | Linearized plasmid/PCR template also accepted for upstream QC |
| Minimum input | ≥ 2 µg total mRNA | Higher input improves coverage of low-abundance species such as truncations |
| RNA integrity | RIN ≥ 7 (Bioanalyzer or equivalent) | Lower RIN may reduce full-length read rate |
| Purity criteria | A260/280 = 1.8–2.1 A260/230 ≥ 2.0 |
Avoid phenol, ethanol, or LNP-lipid carryover |
| Preservation method | Fresh, flash-frozen, or RNAlater-stabilized RNA | Avoid repeated freeze–thaw cycles |
| DNase treatment | Recommended | Residual plasmid or template DNA can confound contaminant screening |
| Sample volume | ≥ 20 µL | Ensure adequate volume for incoming QC and library prep |
| Shipping conditions | Dry ice (preferred) | Ship in RNase-free tubes with clear labelling |
| Multiplexing compatibility | Up to 6–12 samples per run | Barcoding available for multi-batch or multi-construct comparisons |
Expertise in mRNA and RNA Therapeutics Sequencing
Skilled in full-length cDNA sequencing, direct RNA sequencing, and mRNA-focused bioinformatics for vaccine and therapeutic constructs.
Dual-Platform Access
Supports both PacBio Revio and ONT PromethION P24/P48 sequencing, so the platform can be matched to the research question.
Custom Bioinformatics
Offers basic and advanced analysis for sequence identity, truncation mapping, poly(A) tail length, modification detection, and contaminant profiling.
High Quality & Reproducibility
Rigorous QC at every stage minimizes artefacts and preserves the native chemistry of the mRNA under study.
End-to-End Scientific Support
Works with biopharma, biotech, and CDMO teams to design, run, and interpret mRNA characterization studies for non-clinical research use.
Gunter, H.M., Idrisoglu, S., Singh, S. et al. mRNA vaccine quality analysis using RNA sequencing. Nature Communications 14, 5663 (2023).
mRNA vaccines must be rigorously analysed to measure their integrity and detect contaminants that can reduce effectiveness or induce side effects, yet the industry-standard toolkit of RT-qPCR, chromatography, and capillary or gel electrophoresis is time-consuming and cannot resolve every quality attribute in one assay. This study, from the BASE facility at the University of Queensland, set out to test whether long-read nanopore sequencing could measure key mRNA vaccine quality attributes in a single, streamlined workflow, an approach the authors termed VAX-seq.
The authors validated VAX-seq using a reference eGFP mRNA construct comprising a 5′ T7 CleanCap promoter, an alpha-globin 5′ UTR, an eGFP open reading frame, an AES/mtRNR1 3′ UTR, and a 126 nt poly(A) tail, cloned into a pUC-57 plasmid backbone and linearized prior to in-vitro transcription. Following purification to remove residual DNA, RNA, and protein, the mRNA was analysed by long-read cDNA sequencing on the Oxford Nanopore platform, with reads processed through the authors' supporting Mana software to determine sequence identity, transcript length, and integrity, and to measure poly(A) tail length. To evaluate mRNA chemistry, the team separately generated mRNA incorporating N1-methylpseudouridine using CleanCap AG capping and modified nucleotide reagents, then applied direct RNA sequencing to detect the incorporated modification without reverse transcription.
Long-read cDNA sequencing confirmed the sequence identity, length, and integrity of the reference eGFP mRNA and provided a poly(A) tail length read-out in the same workflow used to assess sequence quality, alongside detection of off-target RNA contaminants that can arise during in-vitro transcription. For the chemistry arm of the study, direct RNA sequencing of the N1-methylpseudouridine-containing mRNA successfully detected the modified nucleoside in single mRNA molecules, although the authors reported that direct RNA sequencing libraries yielded lower output and a higher error rate than matched cDNA sequencing libraries for the same construct.
The study demonstrates that long-read nanopore sequencing can serve as a single, streamlined method for characterizing mRNA vaccines and therapeutics. Importantly:
Because each read spans the complete transcript, long-read sequencing confirms sequence identity, localizes truncations to specific positions, measures poly(A) tail length, and, with direct RNA sequencing, detects modified nucleosides, all from the same molecule. RT-qPCR and electrophoresis can only estimate size or amplify targeted regions, so they cannot provide this combined, position-resolved view.
PacBio Revio HiFi sequencing offers very high per-read accuracy, which is well suited to sequence identity and variant confirmation. ONT PromethION with R10.4.1 chemistry is particularly well suited when direct, native RNA sequencing is needed to detect modified nucleosides. We can advise on the best fit for your specific study design.
Yes. Direct RNA sequencing reads native mRNA without reverse transcription, which preserves modified nucleosides in place and allows their detection directly from the sequencing signal, an approach that has been used to confirm incorporation of modifications such as N1-methylpseudouridine.
Because long reads span the entire transcript including the 3′ end, the poly(A) tail is captured directly within the same read used for sequence and integrity analysis, giving a per-molecule tail length rather than a bulk estimate. For dedicated tail-length studies, our Poly(A) Tail Length Analysis service can also be used as a standalone or complementary assay.
Yes. Reads are classified against the intended drug substance sequence, which allows off-target transcripts, residual plasmid or linearized DNA template, and other process-related RNA species to be identified and quantified alongside the mRNA of interest.
Yes. Our full-length plasmid sequencing service, referenced in the section above, can confirm the identity and integrity of the linearized production plasmid or PCR template used for in-vitro transcription, catching template-level issues before mRNA synthesis.
We recommend at least 2 µg of purified mRNA with RIN ≥ 7, clear labelling, and proper storage to preserve integrity and native chemistry. Full details are provided in the Sample Requirements table above.
Data are delivered in a format suited to internal R&D records, non-clinical study reports, and manuscript preparation, including sequence alignments, truncation and poly(A) tail summaries, and, where applicable, modification detection results.
1. Full-Length Read Coverage and Truncation Map

2. Poly(A) Tail Length Distribution

3. Modified Nucleoside Detection Signal (Direct RNA Sequencing)

References
This service is intended for research use only (RUO) and is not designed or validated to support direct clinical diagnostic or treatment decisions.