Evidence map›Paper›PMID 34022233›Full record

ArticleBiophysical journal2021

Self-assembly of protein superstructures by physical interactions under cytoplasm-like conditions.

Yuxing Yao, Zhiyang Jin, Bill Ling, Dina Malounda, Mikhail G Shapiro

Abstract read
In one paragraph

Article in Biophysical journal, 2021. 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
–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

3 citing papers in PubMed.

  1. Protein Gas Vesicles ofACS nano · 2024
    Article
  2. Article
  3. 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.

Yuxing YaoDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California.
Zhiyang JinDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, California.
Bill LingDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California.
Dina MaloundaDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California.
Mikhail G ShapiroDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California. Electronic address: mikhailshapiro@gmail.com.

Funding

Biogenic Gas Nanostructures As Molecular Imaging Reporters For UltrasoundR01EB018975 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Mikhail Shapiro · 2014 to 2026
$5.9M
NIBIB NIH HHS R01 EB018975
6 · The paper itself

Abstract

The structure-driven assembly of multimeric protein complexes and the formation of intracellular phase-like protein condensates have been the subject of intense research. However, the assembly of larger superstructures comprising cellular components, such as protein nanoparticles driven by general physical rather than specific biochemical interactions, remains relatively uncharacterized. Here, we use gas vesicles (GVs)-genetically encoded protein nanoparticles that form ordered intracellular clusters-as a model system to study the forces driving multiparticle assembly under cytoplasm-like conditions. Our calculations and experimental results show that the ordered assembly of GVs can be achieved by screening their mutual electrostatic repulsion with electrolytes and creating a crowding force with dissolved macromolecules. The precise balance of these forces results in different packing configurations. Biomacromolecules such as polylysine and DNA are capable of driving GV clustering. These results provide basic insights into how physically driven interactions affect the formation of protein superstructures, offer guidance for manipulating nanoparticle assembly in cellular environments through synthetic biology methods, and inform research on the biotechnology applications of GVs.

Indexed as

NanoparticlesCytoplasmDNAMacromolecular SubstancesStatic ElectricityDNAMacromolecular Substances

Identifiers

PMID34022233
PMCPMC8390860

What OpenQuestion holds

Textmetadata
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.