Evidence map›Paper›PMID 36669330›Full record

ArticleVirology2023

Systematic engineering of virus-like particles to identify self-assembly rules for shifting particle size.

Bon Ikwuagwu, Emily Hartman, Carolyn E Mills, Danielle Tullman-Ercek

Open access · greenAbstract read
In one paragraph

Article in Virology, 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
2.5field-weighted citation impact, top 12% 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. Review
  2. Article
  3. Tailored Viral-like Particles as Drivers of Medical Breakthroughs.International journal of molecular sciences · 2024
    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.

Bon IkwuagwuDepartment of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Technological Institute E136, Evanston, IL, 60208, USA.
Emily HartmanDepartment of Chemistry, University of California, Berkeley, CA, 94720-1460, USA.
Carolyn E MillsDepartment of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Technological Institute E136, Evanston, IL, 60208, USA.
Danielle Tullman-ErcekDepartment of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Technological Institute E136, Evanston, IL, 60208, USA; Center for Synthetic Biology, Northwestern University, 2145 Sheridan Road, Technological Institute B486, Evanston, IL, 60208, USA. Electronic address: ercek@northwestern.edu.
Northwestern University · USUniversity of California, Berkeley · US

Funding

Chemistry of Life Processes Predoctoral Training ProgramT32GM105538 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2013 to 2022
$2.7M
NIGMS NIH HHS T32 GM105538
6 · The paper itself

Abstract

Virus-like particles (VLPs) are promising scaffolds for biomaterials as well as diagnostic and therapeutic applications. However, there are some key challenges to be solved, such as the ability to engineer alternate sizes for varied use cases. To this end, we created a library of MS2 VLP variants at two key residues in the coat protein which have been implicated as important to controlling VLP size and geometry. By adapting a method for systematic mutagenesis coupled with size-based selections and high-throughput sequencing as a readout, we developed a quantitative assessment of two residues in MS2 coat protein that govern the size shift in MS2 VLPs. We then applied the strategy to the equivalent residues in Qβ VLPs, an MS2 homolog, and demonstrate that the analogous pair of residues are also able to impact Qβ VLP size and shape. These results underscore the power of fitness landscapes in identifying critical features for assembly.

Indexed as

Vaccines, Virus-Like ParticleGene LibraryParticle SizeVaccines, Virus-Like ParticleApparent fitness landscapeDesign rulesMS2QβVirus-like particles

Identifiers

PMID36669330
PMCPMC10776172
OpenAlexW4313560633

What OpenQuestion holds

Textmetadata
LicenceTDM
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.