Evidence map›Paper›PMID 34030723›Full record

ArticleMicrobial cell factories2021

Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli.

Jasmin J Samaras, Marta Mauri, Emily J Kay, Brendan W Wren, Martina Micheletti

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. A roadmap for translational cancer glycoimmunology at single cell resolution.Journal of experimental & clinical cancer research : CR · 2022
    Review
  5. Special Issue 'Microbial glycobiotechnology'.Microbial cell factories · 2022
    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

5 authors at 2 institutions in 1 country.

Jasmin J SamarasAdvanced Centre for Biochemical Engineering, University College London, Bernard Katz Building, Gower Street, London, WC1E 6BT, UK.
Marta MauriDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Emily J KayDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Brendan W WrenDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Martina MichelettiAdvanced Centre for Biochemical Engineering, University College London, Bernard Katz Building, Gower Street, London, WC1E 6BT, UK. m.micheletti@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5147-0182
University of London · GBUniversity College London · GB

Funding

Engineering and Physical Sciences Research Council EP/R013756/1
6 · The paper itself

Abstract

Protein Glycan Coupling Technology (PGCT) uses purposely modified bacterial cells to produce recombinant glycoconjugate vaccines. This vaccine platform holds great potential in this context, namely due to its modular nature, the simplified production process in comparison to traditional chemical conjugation methods, and its amenability to scaled-up operations. As a result, a considerable reduction in production time and cost is expected, making PGCT-made vaccines a suitable vaccine technology for low-middle income countries, where vaccine coverage remains predominantly low and inconsistent. This work aims to develop an integrated whole-process automated platform for the screening of PGCT-made glycoconjugate vaccine candidates. The successful translation of a bench scale process for glycoconjugate production to a microscale automated setting was achieved. This was integrated with a numerical computational software that allowed hands-free operation and a platform adaptable to biological variation over the course of a production process. Platform robustness was proven with both technical and biological replicates and subsequently the platform was used to screen for the most favourable conditions for production of a pneumococcal serotype 4 vaccine candidate. This work establishes an effective automated platform that enabled the identification of the most suitable E. coli strain and genetic constructs to be used in ongoing early phase research and be further brought into preclinical trials.

Indexed as

ADP Ribose TransferasesAutomationBacterial ToxinsBacterial VaccinesBiotechnologyEscherichia coliExotoxinsGlycosylationHigh-Throughput Screening AssaysHumansPneumococcal VaccinesPolysaccharides, BacterialPseudomonas aeruginosa Exotoxin ATechnology, PharmaceuticalVaccines, ConjugateVirulence FactorsADP Ribose TransferasesBacterial ToxinsBacterial VaccinesExotoxinsPneumococcal VaccinesPolysaccharides, BacterialPseudomonas aeruginosa Exotoxin AVaccines, ConjugateVirulence FactorsAutomationBioconjugationGlycoconjugate vaccineGlycoengineeringGlycoproteinHigh throughput process developmentPGCTPneumococcal vaccineScreening studies

Identifiers

PMID34030723
PMCPMC8142613
OpenAlexW3164739711

What OpenQuestion holds

Textmetadata
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.