Evidence map›Paper›PMID 35549087›Full record

ArticleAnalytical chemistry2022

Characterization and Sequence Mapping of Large RNA and mRNA Therapeutics Using Mass Spectrometry.

Christina J Vanhinsbergh, Angela Criscuolo, Jennifer N Sutton, Keeley Murphy, Andrew J K Williamson, Ken Cook, Mark J Dickman

Abstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Integrating mass spectrometry with Nanopore direct RNA sequencing forbioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. RNase 4 improves bottom-up modification mapping ofbioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Review
  20. Review
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

7 authors.

Christina J VanhinsberghDepartment of Chemical & Biological Engineering, University of Sheffield, Sheffield S1 3JD, U.K.
Angela CriscuoloThermoFisher Scientific GmbH, Dreieich, Germany, DE 63303.
Jennifer N SuttonThermoFisher Scientific, San Jose, California 95134, United States.
Keeley MurphyThermoFisher Scientific, San Jose, California 95134, United States.
Andrew J K WilliamsonThermoFisher Scientific, Hemel Hempstead, Hertfordshire HP2 7GE, U.K.
Ken CookThermoFisher Scientific, Hemel Hempstead, Hertfordshire HP2 7GE, U.K.ORCID 0000-0001-5176-7736
Mark J DickmanDepartment of Chemical & Biological Engineering, University of Sheffield, Sheffield S1 3JD, U.K.ORCID 0000-0002-9236-0788

Funding

Biotechnology and Biological Sciences Research Council BB/M012166/1
6 · The paper itself

Abstract

Large RNA including mRNA (mRNA) has emerged as an important new class of therapeutics. Recently, this has been demonstrated by two highly efficacious vaccines based on mRNA sequences encoding for a modified version of the SARS-CoV-2 spike protein. There is currently significant demand for the development of new and improved analytical methods for the characterization of large RNA including mRNA therapeutics. In this study, we have developed an automated, high-throughput workflow for the rapid characterization and direct sequence mapping of large RNA and mRNA therapeutics. Partial RNase digestions using RNase T1 immobilized on magnetic particles were performed in conjunction with high-resolution liquid chromatography-mass spectrometry analysis. Sequence mapping was performed using automated oligoribonucleotide annotation and identifications based on MS/MS spectra. Using this approach, a >80% sequence of coverage of a range of large RNAs and mRNA therapeutics including the SARS-CoV-2 spike protein was obtained in a single analysis. The analytical workflow, including automated sample preparation, can be completed within 90 min. The ability to rapidly identify, characterize, and sequence map large mRNA therapeutics with high sequence coverage provides important information for identity testing, sequence validation, and impurity analysis.

Indexed as

COVID-19Tandem Mass SpectrometryHumansRNARNA, MessengerSARS-CoV-2Spike Glycoprotein, CoronavirusRNARNA, MessengerSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35549087
PMCPMC9134182

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.