Evidence map›Paper›PMID 35778087›Full record

ArticleThe Journal of chemical physics2022

Microcompartment assembly around multicomponent fluid cargoes.

Lev Tsidilkovski, Farzaneh Mohajerani, Michael F Hagan

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Lev TsidilkovskiMartin A. Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, USA.
Farzaneh MohajeraniMartin A. Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, USA.ORCID 0000-0002-9340-3305
Michael F HaganMartin A. Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, USA.ORCID 0000-0002-9211-2434

Funding

Computational modeling of viral capsid and bacterial microcompartment assemblyR01GM108021 · NIGMS · BRANDEIS UNIVERSITY · PI HAGAN, MICHAEL F · 2013 to 2021
$2.7M
NIGMS NIH HHS R01 GM108021
6 · The paper itself

Abstract

This article describes dynamical simulations of the assembly of an icosahedral protein shell around a bicomponent fluid cargo. Our simulations are motivated by bacterial microcompartments, which are protein shells found in bacteria that assemble around a complex of enzymes and other components involved in certain metabolic processes. The simulations demonstrate that the relative interaction strengths among the different cargo species play a key role in determining the amount of each species that is encapsulated, their spatial organization, and the nature of the shell assembly pathways. However, the shell protein-shell protein and shell protein-cargo component interactions that help drive assembly and encapsulation also influence cargo composition within certain parameter regimes. These behaviors are governed by a combination of thermodynamic and kinetic effects. In addition to elucidating how natural microcompartments encapsulate multiple components involved within reaction cascades, these results have implications for efforts in synthetic biology to colocalize alternative sets of molecules within microcompartments to accelerate specific reactions. More broadly, the results suggest that coupling between self-assembly and multicomponent liquid-liquid phase separation may play a role in the organization of the cellular cytoplasm.

Indexed as

BacteriaBacterial ProteinsKineticsSynthetic BiologyThermodynamicsBacterial Proteins

Identifiers

PMID35778087
PMCPMC9249432

What OpenQuestion holds

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LicenceCC BY
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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.