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Self-Assembled Superparamagnetic Iron Oxide Nanoclusters for Universal Cell Labeling and MRI

Overview of attention for article published in Nanoscale Research Letters, May 2016
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Title
Self-Assembled Superparamagnetic Iron Oxide Nanoclusters for Universal Cell Labeling and MRI
Published in
Nanoscale Research Letters, May 2016
DOI 10.1186/s11671-016-1479-5
Pubmed ID
Authors

Shuzhen Chen, Jun Zhang, Shengwei Jiang, Gan Lin, Bing Luo, Huan Yao, Yuchun Lin, Chengyong He, Gang Liu, Zhongning Lin

Abstract

Superparamagnetic iron oxide (SPIO) nanoparticles have been widely used in a variety of biomedical applications, especially as contrast agents for magnetic resonance imaging (MRI) and cell labeling. In this study, SPIO nanoparticles were stabilized with amphiphilic low molecular weight polyethylenimine (PEI) in an aqueous phase to form monodispersed nanocomposites with a controlled clustering structure. The iron-based nanoclusters with a size of 115.3 ± 40.23 nm showed excellent performance on cellular uptake and cell labeling in different types of cells, moreover, which could be tracked by MRI with high sensitivity. The SPIO nanoclusters presented negligible cytotoxicity in various types of cells as detected using MTS, LDH, and flow cytometry assays. Significantly, we found that ferritin protein played an essential role in protecting stress from SPIO nanoclusters. Taken together, the self-assembly of SPIO nanoclusters with good magnetic properties provides a safe and efficient method for universal cell labeling with noninvasive MRI monitoring capability.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 50%
Researcher 2 11%
Student > Master 2 11%
Other 2 11%
Lecturer 1 6%
Other 2 11%
Readers by discipline Count As %
Materials Science 4 22%
Chemistry 3 17%
Agricultural and Biological Sciences 2 11%
Computer Science 2 11%
Physics and Astronomy 2 11%
Other 5 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2016.
All research outputs
#5,869,521
of 7,757,128 outputs
Outputs from Nanoscale Research Letters
#193
of 556 outputs
Outputs of similar age
#187,744
of 268,890 outputs
Outputs of similar age from Nanoscale Research Letters
#7
of 11 outputs
Altmetric has tracked 7,757,128 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 556 research outputs from this source. They receive a mean Attention Score of 1.5. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.