Evidence map›Paper›PMID 29959983›Full record

ArticleBiochimica et biophysica acta. General subjects2018

Stochastic simulations of nanoparticle internalization through transferrin receptor dependent clathrin-mediated endocytosis.

Hua Deng, Prashanta Dutta, Jin Liu

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In one paragraph

Article in Biochimica et biophysica acta. General subjects, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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.

Hua DengSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, United States.
Prashanta DuttaSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, United States.
Jin LiuSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, United States. Electronic address: jin.liu2@wsu.edu.

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

backgroundReceptor dependent clathrin-mediated endocytosis (CME) is one of the most important endocytic pathways for the internalization of bioparticles into cells. During CME, the ligand-receptor interactions, development of clathrin-coated pit (CCP) and membrane evolution all act together to drive the internalization of bioparticles. In this work, we develop a stochastic computational model to investigate the CME based on the Metropolis Monte Carlo simulations.

methodsThe model is based on the combination of a stochastic particle binding model with a membrane model. The energetic costs of membrane bending, CCP formation and ligand-receptor interactions are systematically linked together.

resultsWe implement our model to investigate the effects of particle size, ligand density and membrane stiffness on the overall process of CME from the drug delivery perspectives. Consistent with some experiments, our results show that the intermediate particle size and ligand density favor the particle internalization. Moreover, our results show that it is easier for a particle to enter a cell with softer membrane.

conclusionsThe model presented here is able to provide mechanistic insights into CME and can be readily modified to include other important factors, such as actins. The predictions from the model will aid in the therapeutic design of intracellular/transcellular drug delivery and antiviral interventions.

Indexed as

Computer SimulationEndocytosisBiological TransportCell MembraneClathrinClathrin-Coated VesiclesHumansNanoparticlesParticle SizeReceptors, TransferrinClathrinReceptors, TransferrinClathrin-coated pitDrug deliveryLigand-receptor interactionsMembrane deformationMonte Carlo simulationsVirus entry

Identifiers

PMID29959983
PMCPMC6152834

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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.