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A DNA nanorobot functions as a cancer therapeutic in response to a molecular trigger in vivo

Overview of attention for article published in Nature Biotechnology, February 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 8,616)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Citations

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1085 Dimensions

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1032 Mendeley
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1 CiteULike
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Title
A DNA nanorobot functions as a cancer therapeutic in response to a molecular trigger in vivo
Published in
Nature Biotechnology, February 2018
DOI 10.1038/nbt.4071
Pubmed ID
Authors

Suping Li, Qiao Jiang, Shaoli Liu, Yinlong Zhang, Yanhua Tian, Chen Song, Jing Wang, Yiguo Zou, Gregory J Anderson, Jing-Yan Han, Yung Chang, Yan Liu, Chen Zhang, Liang Chen, Guangbiao Zhou, Guangjun Nie, Hao Yan, Baoquan Ding, Yuliang Zhao

Abstract

Nanoscale robots have potential as intelligent drug delivery systems that respond to molecular triggers. Using DNA origami we constructed an autonomous DNA robot programmed to transport payloads and present them specifically in tumors. Our nanorobot is functionalized on the outside with a DNA aptamer that binds nucleolin, a protein specifically expressed on tumor-associated endothelial cells, and the blood coagulation protease thrombin within its inner cavity. The nucleolin-targeting aptamer serves both as a targeting domain and as a molecular trigger for the mechanical opening of the DNA nanorobot. The thrombin inside is thus exposed and activates coagulation at the tumor site. Using tumor-bearing mouse models, we demonstrate that intravenously injected DNA nanorobots deliver thrombin specifically to tumor-associated blood vessels and induce intravascular thrombosis, resulting in tumor necrosis and inhibition of tumor growth. The nanorobot proved safe and immunologically inert in mice and Bama miniature pigs. Our data show that DNA nanorobots represent a promising strategy for precise drug delivery in cancer therapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 819 X users 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 1,032 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1032 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 191 19%
Student > Bachelor 143 14%
Student > Master 134 13%
Researcher 119 12%
Student > Doctoral Student 39 4%
Other 129 13%
Unknown 277 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 229 22%
Chemistry 107 10%
Engineering 101 10%
Agricultural and Biological Sciences 80 8%
Medicine and Dentistry 41 4%
Other 165 16%
Unknown 309 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1327. 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 19 May 2023.
All research outputs
#9,989
of 25,748,735 outputs
Outputs from Nature Biotechnology
#17
of 8,616 outputs
Outputs of similar age
#186
of 456,858 outputs
Outputs of similar age from Nature Biotechnology
#4
of 70 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,616 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.6. This one has done particularly well, scoring higher than 99% 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 456,858 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.