Evidence map›Paper›PMID 38516194›Full record

ArticleFrontiers in molecular biosciences2024

Anion exchange HPLC monitoring of mRNA

Emma N Welbourne, Kate A Loveday, Adithya Nair, Ehsan Nourafkan, Jixin Qu, Ken Cook, Zoltán Kis, Mark J Dickman

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. IntegratedMolecular therapy. Nucleic acids · 2026
    Article
  2. Review
  3. High-throughput monitoring of free MgAnalytical and bioanalytical chemistry · 2026
    Article
  4. Review
  5. Model-Based Optimization of Fed-Batch In Vitro Transcription.Chembiochem : a European journal of chemical biology · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Emma N WelbourneDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, United Kingdom.
Kate A LovedayDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, United Kingdom.
Adithya NairDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, United Kingdom.
Ehsan NourafkanDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, United Kingdom.
Jixin QuDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, United Kingdom.
Ken CookThermoFisher Scientific, Hemel Hempstead, United Kingdom.
Zoltán KisDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, United Kingdom.
Mark J DickmanDepartment of Chemical and Biological Engineering, University of Sheffield, Sheffield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

mRNA technology has recently demonstrated the ability to significantly change the timeline for developing and delivering a new vaccine from years to months. The potential of mRNA technology for rapid vaccine development has recently been highlighted by the successful development and approval of two mRNA vaccines for COVID-19. Importantly, this RNA-based approach holds promise for treatments beyond vaccines and infectious diseases, e.g., treatments for cancer, metabolic disorders, cardiovascular conditions, and autoimmune diseases. There is currently significant demand for the development of improved manufacturing processes for the production of mRNA therapeutics in an effort to increase their yield and quality. The development of suitable analytical methods for the analysis of mRNA therapeutics is critical to underpin manufacturing development and the characterisation of the drug product and drug substance. In this study we have developed a high-throughput, high-performance liquid chromatography (HPLC) workflow for the rapid analysis of mRNA generated using

Indexed as

anion exchange HPLCIn vitro transcriptionmRNAmRNA vaccines/therapeuticsprocess development

Identifiers

PMID38516194
PMCPMC10955092

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.