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Targeting VEGF with LNA-stabilized G-rich oligonucleotide for efficient breast cancer inhibition

Overview of attention for article published in Chemical Communications, January 2015
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Mentioned by

patent
2 patents

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mendeley
72 Mendeley
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Article details
Title
Targeting VEGF with LNA-stabilized G-rich oligonucleotide for efficient breast cancer inhibition
Published in
Chemical Communications, January 2015
DOI 10.1039/c5cc02756j
Pubmed ID
Authors
Abstract

In this study, we investigated the efficacy of an LNA (locked nucleic acid)-modified DNA aptamer named RNV66 targeting VEGF against various breast cancer cell lines. Our results demonstrate that RNV66 efficiently inhibits breast cancer cell proliferation both in vitro and in vivo. Introduction of LNA nucleotides were crucial for higher efficacy. Furthermore, the binding interaction of RNV66 with VEGF was investigated using molecular dynamic simulations leading to the first computational model of the LNA aptamer-VEGF complex blocking its interaction with VEGF-receptor.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Denmark 1 1%
Belgium 1 1%
Unknown 70 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Student > Bachelor 10 14%
Researcher 9 13%
Student > Master 7 10%
Student > Postgraduate 5 7%
Other 14 19%
Unknown 13 18%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 26%
Chemistry 16 22%
Agricultural and Biological Sciences 5 7%
Medicine and Dentistry 4 6%
Materials Science 3 4%
Other 11 15%
Unknown 14 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 April 2023.
All research outputs
#10,458,065
of 30,385,879 outputs
Outputs from Chemical Communications
#9,903
of 29,709 outputs
Outputs of similar age
#122,213
of 382,204 outputs
Outputs of similar age from Chemical Communications
#557
of 1,614 outputs
Altmetric has tracked 30,385,879 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,709 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 382,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,614 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.