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Engineered exosome-mediated delivery of functionally active miR-26a and its enhanced suppression effect in HepG2 cells

Overview of attention for article published in International Journal of Nanomedicine, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 X user
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3 patents

Citations

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208 Dimensions

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122 Mendeley
Title
Engineered exosome-mediated delivery of functionally active miR-26a and its enhanced suppression effect in HepG2 cells
Published in
International Journal of Nanomedicine, January 2018
DOI 10.2147/ijn.s154458
Pubmed ID
Authors

Gaofeng Liang, Shu Kan, Yanliang Zhu, Shuying Feng, Wenpo Feng, Shegan Gao

Abstract

Exosomes are closed-membrane nanovesicles that are secreted by a variety of cells and exist in most body fluids. Recent studies have demonstrated the potential of exosomes as natural vehicles that target delivery of functional small RNA and chemotherapeutics to diseased cells. In this study, we introduce a new approach for the targeted delivery of exosomes loaded with functional miR-26a to scavenger receptor class B type 1-expressing liver cancer cells. The tumor cell-targeting function of these engineered exosomes was introduced by expressing in 293T cell hosts, the gene fusion between the transmembrane protein of CD63 and a sequence from Apo-A1. The exosomes harvested from these 293T cells were loaded with miR-26a via electroporation. The engineered exosomes were shown to bind selectively to HepG2 cells via the scavenger receptor class B type 1-Apo-A1 complex and then internalized by receptor-mediated endocytosis. The release of miR-26a in exosome-treated HepG2 cells upregulated miR-26a expression and decreased the rates of cell migration and proliferation. We also presented evidence that suggest cell growth was inhibited by miR-26a-mediated decreases in the amounts of key proteins that regulate the cell cycle. Our gene delivery strategy can be adapted to treat a broad spectrum of cancers by expressing proteins on the surface of miRNA-loaded exosomes that recognize specific biomarkers on the tumor cell.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Student > Master 17 14%
Student > Bachelor 12 10%
Student > Doctoral Student 11 9%
Researcher 10 8%
Other 18 15%
Unknown 37 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 26%
Agricultural and Biological Sciences 15 12%
Pharmacology, Toxicology and Pharmaceutical Science 13 11%
Medicine and Dentistry 6 5%
Engineering 5 4%
Other 11 9%
Unknown 40 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 February 2024.
All research outputs
#5,341,501
of 25,382,440 outputs
Outputs from International Journal of Nanomedicine
#498
of 4,122 outputs
Outputs of similar age
#107,385
of 449,550 outputs
Outputs of similar age from International Journal of Nanomedicine
#10
of 65 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,122 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 449,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.