Evidence map›Paper›PMID 26905216›Full record

ArticleMolecular pharmaceutics2016

Effects of the Microparticle Shape on Cellular Uptake.

Yuanzu He, Kinam Park

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
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  9. Review
  10. Article
  11. Article
  12. Rapid single-particle chemical imaging of nanoplastics by SRS microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. Wrapping anisotropic microgel particles in lipid membranes: Effects of particle shape and membrane rigidity.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Article
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  20. 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

2 authors.

Yuanzu HeDepartments of Biomedical Engineering and Pharmaceutics, Purdue University , West Lafayette, Indiana 47907, United States.
Kinam ParkDepartments of Biomedical Engineering and Pharmaceutics, Purdue University , West Lafayette, Indiana 47907, United States.

Funding

Adaptable Polymer Micelles for Tumor TargetingR01CA129287 · NCI · PURDUE UNIVERSITY · PI PARK, KINAM · 2010 to 2014
$1.5M
Hydrogel template method for protein microencapsulationR01GM095879 · NIGMS · PURDUE UNIVERSITY · PI PARK, KINAM · 2012 to 2015
$1.1M
NCI NIH HHS R01 CA129287NIGMS NIH HHS R01 GM095879
6 · The paper itself

Abstract

Physical forms of microparticles and nanoparticles, such as the size, charge, and shape, are known to affect endocytosis. Improving the physical designs of the drug carriers can increase the drug uptake efficiency and the subsequent drug efficacy. Simple shapes, such as sphere and cylinder, have been studied for their ability for endocytosis. To have a better understanding of the shape effect on cellular uptake, different particle shapes were prepared, using the keyboard character shapes, and their impacts on cellular uptake were examined. The results showed that shapes with higher aspect ratios and sharper angular features have a higher chance of adhering to the cells and become internalized by the cancer cells. The local interaction between the cell membrane and the part of the microparticle in contact with the cell membrane also plays a crucial role in determining the outcome.

Indexed as

Cell Line, TumorCell MembraneDrug CarriersEndocytosisHumansNanoparticlesParticle SizeDrug Carriersaspect ratiocellular uptakeendocytosismicroparticle shapesize

Identifiers

PMID26905216
PMCPMC5315697

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Registered trials

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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.