Evidence map›Paper›PMID 23402533›Full record

ArticleACS nano2013

Nanoparticle geometry and surface orientation influence mode of cellular uptake.

Heather Herd, Nicole Daum, Arwyn T Jones, Hanno Huwer, Hamidreza Ghandehari, Claus-Michael Lehr

Abstract read
In one paragraph

Article in ACS nano, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

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42 more citing papers are in PubMed but not listed here.

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

6 authors.

Heather HerdUtah Center for Nanomedicine, Nano Institute of Utah, University of Utah, 36 S. Wasatch Drive, Salt Lake City, Utah 84112, United States.
Nicole Daum
Arwyn T Jones
Hanno Huwer
Hamidreza Ghandehari
Claus-Michael Lehr

Funding

Biological fate and biocompatibility of dendritic and silica-based nanoconstructsR01DE019050 · NIDCR · UNIVERSITY OF UTAH · PI GHANDEHARI, HAMID · 2007 to 2010
$1.3M
NIDCR NIH HHS R01 DE019050NIDCR NIH HHS R01-DE19050
6 · The paper itself

Abstract

In order to engineer safer nanomaterials, there is a need to understand, systematically evaluate, and develop constructs with appropriate cellular uptake and intracellular fates. The overall goal of this project is to determine the uptake patterns of silica nanoparticle geometries in model cells, in order to aid in the identification of the role of geometry on cellular uptake and transport. In our experiments we observed a significant difference in the viability of two phenotypes of primary macrophages; immortalized macrophages exhibited similar patterns. However, both primary and immortalized epithelial cells did not exhibit toxicity profiles. Interestingly uptake of these geometries in all cell lines exhibited very different time-dependent patterns. A screening of a series of chemical inhibitors of endocytosis was performed to isolate the uptake mechanisms of the different particles. The results show that all geometries exhibit very different uptake profiles and that this may be due to the orientation of the nanoparticles when they interact with the cell surface. Additionally, evidence suggests that these uptake patterns initialize different downstream cellular pathways, dependent on cell type and phenotype.

Indexed as

AnimalsBiocompatible MaterialsBiological Transport, ActiveCell LineDextransDrug Delivery SystemsEndocytosisHumansMacrophagesMaterials TestingMiceMicroscopy, Electron, TransmissionNanoparticlesPhosphatidylinositol 3-KinasesSilicon DioxideSurface PropertiesBiocompatible MaterialsDextransPhosphatidylinositol 3-KinasesSilicon DioxideTransferrin

Identifiers

PMID23402533
PMCPMC3860363

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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.