Evidence map›Paper›PMID 37257068›Full record

ArticleBiomacromolecules2023

Preparation and Biological Properties of Oligonucleotide-Functionalized Virus-like Particles.

Robert Hincapie, Sonia Bhattacharya, Parisa Keshavarz-Joud, Asheley P Chapman, Stephen N Crooke, M G Finn

Open access · hybridAbstract read
In one paragraph

Article in Biomacromolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Robert Hincapie
Sonia Bhattacharya
Parisa Keshavarz-Joud
Asheley P Chapman
Stephen N Crooke
Georgia Institute of Technology · US

Funding

Lymph node-targeted multistage chemoimmunotherapy for lymphomaR01CA247484 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI FINN, M.G., THOMAS, SUSAN NAPIER · 2020 to 2024
$2.6M
IVIS Spectrum in vivo Imaging SystemS10OD016264 · OD · GEORGIA INSTITUTE OF TECHNOLOGY · PI GARCIA, ANDRES J · 2015 to 2015
$595k
NCI NIH HHS R01 CA247484NIH HHS S10 OD016264
6 · The paper itself

Abstract

Oligonucleotides are powerful molecules for programming function and assembly. When arrayed on nanoparticle scaffolds in high density, the resulting molecules, spherical nucleic acids (SNAs), become imbued with unique properties. We used the copper-catalyzed azide-alkyne cycloaddition to graft oligonucleotides on Qβ virus-like particles to see if such structures also gain SNA-like behavior. Copper-binding ligands were shown to promote the click reaction without degrading oligonucleotide substrates. Reactions were first optimized with a small-molecule fluorogenic reporter and were then applied to the more challenging synthesis of polyvalent protein nanoparticle-oligonucleotide conjugates. The resulting particles exhibited the enhanced cellular uptake and protection from nuclease-mediated oligonucleotide cleavage characteristic of SNAs, had similar residence time in the liver relative to unmodified particles, and were somewhat shielded from immune recognition, resulting in nearly 10-fold lower antibody titers relative to unmodified particles. Oligonucleotide-functionalized virus-like particles thus provide an interesting option for protein nanoparticle-mediated delivery of functional molecules.

Indexed as

NanoparticlesNucleic AcidsAlkynesAzidesClick ChemistryCopperCycloaddition ReactionOligonucleotidesProteinsAlkynesAzidesCopperNucleic AcidsOligonucleotidesProteins

Identifiers

PMID37257068
PMCPMC10265708
OpenAlexW4378902504

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.