Report for: Antibody-powered nucleic acid release using a DNA-based nanomachine

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Title	Antibody-powered nucleic acid release using a DNA-based nanomachine
Published in	Nature Communications, May 2017
DOI	10.1038/ncomms15150
Pubmed ID	28480878
Authors	Simona Ranallo, Carl Prévost-Tremblay, Andrea Idili, Alexis Vallée-Bélisle, Francesco Ricci
Abstract	A wide range of molecular devices with nanoscale dimensions have been recently designed to perform a variety of functions in response to specific molecular inputs. Only limited examples, however, utilize antibodies as regulatory inputs. In response to this, here we report the rational design of a modular DNA-based nanomachine that can reversibly load and release a molecular cargo on binding to a specific antibody. We show here that, by using three different antigens (including one relevant to HIV), it is possible to design different DNA nanomachines regulated by their targeting antibody in a rapid, versatile and highly specific manner. The antibody-powered DNA nanomachines we have developed here may thus be useful in applications like controlled drug-release, point-of-care diagnostics and in vivo imaging.

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Twitter Demographics

The data shown below were collected from the profiles of 51 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
United States	17	33%
Italy	2	4%
United Kingdom	2	4%
China	2	4%
Japan	2	4%
Canada	2	4%
Spain	1	2%
Croatia	1	2%
Russia	1	2%
Other	5	10%
Unknown	16	31%

Demographic breakdown

Type	Count	As %
Members of the public	38	75%
Scientists	6	12%
Science communicators (journalists, bloggers, editors)	4	8%
Practitioners (doctors, other healthcare professionals)	3	6%

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Spain	1	<1%
Denmark	1	<1%
Unknown	115	98%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	28	24%
Researcher	16	14%
Student > Bachelor	14	12%
Student > Master	13	11%
Student > Doctoral Student	12	10%
Other	20	17%
Unknown	14	12%

Readers by discipline	Count	As %
Chemistry	29	25%
Biochemistry, Genetics and Molecular Biology	26	22%
Agricultural and Biological Sciences	18	15%
Engineering	12	10%
Materials Science	4	3%
Other	13	11%
Unknown	15	13%

Attention Score in Context

This research output has an Altmetric Attention Score of 204. 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 24 December 2020.

All research outputs

#101,793

of 17,364,317 outputs

Outputs from Nature Communications

#1,460

of 34,119 outputs

Outputs of similar age

#3,253

of 273,290 outputs

Outputs of similar age from Nature Communications

#80

of 1,099 outputs

Altmetric has tracked 17,364,317 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 34,119 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 51.9. This one has done particularly well, scoring higher than 95% 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 273,290 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 98% of its contemporaries.

We're also able to compare this research output to 1,099 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 92% of its contemporaries.

Antibody-powered nucleic acid release using a DNA-based nanomachine

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Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context