Evidence map›Paper›PMID 39290790›Full record

ArticleBiotechnology reports (Amsterdam, Netherlands)2024

Genetically surface-modified

Sedthawut Laotee, Wanatchaporn Arunmanee

Abstract read
In one paragraph

Article in Biotechnology reports (Amsterdam, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Virulence · 2026
    Review
  2. Review
  3. [Preparation of HLYVSPW peptide-displaying outer membrane vesicles and validation of their in vitro targeting effects on triple-negative breast cancer cells].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Evaluating Outer Membrane Vesicle Isolation Techniques forAntibiotics (Basel, Switzerland) · 2025
    Article
  8. 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

2 authors.

Sedthawut LaoteeDepartment of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
Wanatchaporn ArunmaneeDepartment of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outer membrane vesicles (OMVs), non-replicating spherical liposomes derived from Gram-negative bacteria, are a promising vaccine platform and multifunctional delivery systems. Their ability to be modified via genetic engineering for the incorporation and display of heterologous proteins enhances their functionality. In this study, we demonstrated a bio-ligation approach to display single-chain variable fragments (scFv) on the OMV surface using the SpyTag/SpyCatcher system. SpyTag-fused scFv, expressed by mammalian cells, bound to OMVs with SpyCatcher-fused Lpp'OmpA after a simple incubation. Biophysical analysis indicated that the conjugated OMVs maintained their physicochemical properties. We used an scFv targeting mucin 1 protein (MUC1) for specific cell targeting. Confocal microscopy revealed that conjugated OMVs specifically bound to and were internalized by MUC1-presenting cells, but not by MUC1-deficient cells. In conclusion, this rapid and efficient bio-ligation system facilitates the display of functional scFv on OMV surfaces, offering a promising approach for targeted delivery to MUC1-expressing cancer cells.

Indexed as

Cell-specific delivery systemOuter membrane vesiclesSingle-chain variable fragmentSpyTag/SpyCatcher systemSurface display system

Identifiers

PMID39290790
PMCPMC11406022

What OpenQuestion holds

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LicenceCC BY-NC
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.