Evidence map›Paper›PMID 30580920›Full record

ArticleBiophysical journal2019

Quantitative Analysis of the Correlation between Cell Size and Cellular Uptake of Particles.

Jawahar Khetan, Md Shahinuzzaman, Sutapa Barua, Dipak Barua

Open access · greenAbstract read
In one paragraph

Article in Biophysical journal, 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
0.7field-weighted citation impact, top 33% 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, 39 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Jawahar KhetanDepartment of Chemical and Biochemical Engineering, Missouri University of Science and Technology, Rolla, Missouri.
Md ShahinuzzamanDepartment of Chemical and Biochemical Engineering, Missouri University of Science and Technology, Rolla, Missouri.
Sutapa BaruaDepartment of Chemical and Biochemical Engineering, Missouri University of Science and Technology, Rolla, Missouri.
Dipak BaruaDepartment of Chemical and Biochemical Engineering, Missouri University of Science and Technology, Rolla, Missouri. Electronic address: baruad@mst.edu.
Missouri University of Science and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The size of a cell is central to many functions, including cellular communication and exchange of materials with the environment. This modeling and experimental study focused on understanding how the size of a cell determines its ability to uptake nanometer-scale extracellular materials from the environment. Several mechanisms in the cell plasma membrane mediate cellular uptake of nutrients, biomolecules, and particles. These mechanisms involve recognition and internalization of the extracellular molecules via endocytic components, such as clathrin-coated pits, vacuoles, and micropinocytic vesicles. Because the demand for an external resource could be different for cells of different sizes, the collective actions of these various endocytic routes should also vary based on the cell size. Here, using a reaction-diffusion model, we analyze single-cell data to interrogate the one/one mapping between the size of the MDA-MB 231 breast cancer cells and their ability to uptake nanoparticles. Our analysis indicates that under both reaction- and diffusion-controlled regimes, cellular uptake follows a linear relationship with the cell radius. Furthermore, this linear dependency is insensitive to particle size variation within 20-200 nm range. This result is counterintuitive because the general perception is that cellular uptake is proportional to the cell volume (mass) or surface area and hence follow a cubic or square relationship with the cell radius. A further analysis using our model reveals a potential mechanism underlying this linear relationship.

Indexed as

Cell SizeEndocytosisCell Line, TumorCytoplasmic VesiclesHumansNanoparticlesNonlinear Dynamics

Identifiers

PMID30580920
PMCPMC6349962
OpenAlexW2902201432

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.