Evidence map›Paper›PMID 37056610›Full record

ArticleNanoscale advances2023

Sortase A transpeptidation produces seamless, unbranched biotinylated nanobodies for multivalent and multifunctional applications.

Eugene M Obeng, David L Steer, Alex J Fulcher, Kylie M Wagstaff

Open access · goldAbstract read
In one paragraph

Article in Nanoscale advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Eugene M ObengDepartment of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University Clayton VIC 3800 Australia kylie.wagstaff@monash.edu.ORCID https://orcid.org/0000-0001-6525-7577
David L SteerMonash Proteomics and Metabolomics Facility, Monash University Clayton VIC 3800 Australia.
Alex J FulcherMonash Micro Imaging, Monash University Clayton VIC 3800 Australia.
Kylie M WagstaffDepartment of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University Clayton VIC 3800 Australia kylie.wagstaff@monash.edu.ORCID https://orcid.org/0000-0003-4791-1410
Australian Regenerative Medicine Institute · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploitation of the biotin-streptavidin interaction for advanced protein engineering is used in many bio-nanotechnology applications. As such, researchers have used diverse techniques involving chemical and enzyme reactions to conjugate biotin to biomolecules of interest for subsequent docking onto streptavidin-associated molecules. Unfortunately, the biotin-streptavidin interaction is susceptible to steric hindrance and conformational malformation, leading to random orientations that ultimately impair the function of the displayed biomolecule. To minimize steric conflicts, we employ sortase A transpeptidation to produce quantitative, seamless, and unbranched nanobody-biotin conjugates for efficient display on streptavidin-associated nanoparticles. We further characterize the protein-nanoparticle complex and demonstrate its usefulness in optical microscopy and multivalent severe acute respiratory syndrome coronavirus (SARS-CoV-2) antigen interaction. The approach reported here provides a template for making novel multivalent and multifunctional protein complexes for avidity-inspired technologies.

Identifiers

PMID37056610
PMCPMC10089078
OpenAlexW4327497798

What OpenQuestion holds

Textmetadata
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.