Evidence map›Paper›PMID 31157808›Full record

ArticleNanoscale2019

Stochastic modeling of nanoparticle internalization and expulsion through receptor-mediated transcytosis.

Hua Deng, Prashanta Dutta, Jin Liu

Open access · greenAbstract read
In one paragraph

Article in Nanoscale, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
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  7. Valency of Ligand-Receptor Binding from Pair Potentials.Journal of chemical theory and computation · 2024
    Article
  8. Article
  9. Review
  10. Advances in nanomaterial-based targeted drug delivery systems.Frontiers in bioengineering and biotechnology · 2023
    Review
  11. Article
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  13. Review
  14. Article
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  16. Article
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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 at 1 institution in 1 country.

Hua DengSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99163, USA. jin.liu2@wsu.edu.
Prashanta DuttaSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99163, USA. jin.liu2@wsu.edu.
Jin LiuSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99163, USA. jin.liu2@wsu.edu.ORCID http://orcid.org/0000-0002-0839-5153
Washington State University · US

Funding

Multiscale Modeling of Transport though Blood Brain BarrierR01GM122081 · NIGMS · WASHINGTON STATE UNIVERSITY · PI DUTTA, PRASHANTA · 2016 to 2018
$763k
NIGMS NIH HHS R01 GM122081
6 · The paper itself

Abstract

Receptor-mediated transcytosis (RMT) is a fundamental mechanism for the transcellular transport of nanoparticles. RMT is a complex process, during which the nanoparticles actively interact with the membrane and the membrane profile undergoes extreme deformations for particle internalization and expulsion. In this work, we developed a stochastic model to study the endocytosis and exocytosis of nanoparticles across soft membranes. The model is based on the combination of a stochastic particle binding model with a membrane model, and accounts for both clathrin-mediated endocytosis for internalization and actin-mediated exocytosis for expulsion. Our results showed that nanoparticles must have certain avidity with enough ligand density and ligand-receptor binding affinity to be taken up, while too high avidity limited the particle release from the cell surface. We further explored the functional roles of actin during exocytosis, which has been a topic under active debate. Our simulations indicated that the membrane compression due to the actin induced tension tended to break the ligand-receptor bonds and to shrink the fusion pore. Therefore, an intermediate tension promoted the fusion pore expansion and nanoparticle release, while high tension prohibits particle release. Our model provides new and critical mechanistic insights into RMT, and represents a powerful platform for aiding the rational design of nanocarriers for controlled drug delivery.

Indexed as

Models, BiologicalNanoparticlesTranscytosisActinsAnimalsCell MembraneClathrinHumansStochastic ProcessesSurface TensionActinsClathrin

Identifiers

PMID31157808
PMCPMC6634982
OpenAlexW2944800973

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.