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

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 57 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	22	39%
Italy	2	4%
United Kingdom	2	4%
China	2	4%
Germany	2	4%
Spain	1	2%
Canada	1	2%
Croatia	1	2%
Russia	1	2%
Other	4	7%
Unknown	19	33%

Demographic breakdown

Type	Count	As %
Members of the public	40	70%
Scientists	8	14%
Practitioners (doctors, other healthcare professionals)	5	9%
Science communicators (journalists, bloggers, editors)	4	7%

Mendeley readers

The data shown below were compiled from readership statistics for 87 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	85	98%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	21	24%
Researcher	14	16%
Student > Master	12	14%
Student > Bachelor	11	13%
Student > Doctoral Student	6	7%
Other	16	18%
Unknown	7	8%

Readers by discipline	Count	As %
Chemistry	24	28%
Biochemistry, Genetics and Molecular Biology	19	22%
Agricultural and Biological Sciences	15	17%
Engineering	10	11%
Materials Science	2	2%
Other	7	8%
Unknown	10	11%

Attention Score in Context

This research output has an Altmetric Attention Score of 205. 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 January 2019.

All research outputs

#65,166

of 13,620,849 outputs

Outputs from Nature Communications

#994

of 24,771 outputs

Outputs of similar age

#2,987

of 263,232 outputs

Outputs of similar age from Nature Communications

#78

of 1,097 outputs

Altmetric has tracked 13,620,849 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 24,771 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.3. 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 263,232 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 1,097 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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Demographic breakdown

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Geographical breakdown

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Attention Score in Context