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 50 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	16	32%
Canada	2	4%
China	2	4%
United Kingdom	2	4%
Italy	2	4%
Spain	1	2%
Belgium	1	2%
Sweden	1	2%
Congo, The Democratic Republic of the	1	2%
Other	6	12%
Unknown	16	32%

Demographic breakdown

Type	Count	As %
Members of the public	38	76%
Scientists	6	12%
Science communicators (journalists, bloggers, editors)	4	8%
Practitioners (doctors, other healthcare professionals)	2	4%

Mendeley readers

The data shown below were compiled from readership statistics for 135 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	133	99%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	31	23%
Researcher	17	13%
Student > Master	16	12%
Student > Bachelor	16	12%
Student > Doctoral Student	14	10%
Other	21	16%
Unknown	20	15%

Readers by discipline	Count	As %
Chemistry	36	27%
Biochemistry, Genetics and Molecular Biology	30	22%
Agricultural and Biological Sciences	18	13%
Engineering	12	9%
Materials Science	5	4%
Other	15	11%
Unknown	19	14%

Attention Score in Context

This research output has an Altmetric Attention Score of 198. 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

#137,002

of 20,751,917 outputs

Outputs from Nature Communications

#1,986

of 41,113 outputs

Outputs of similar age

#3,564

of 281,873 outputs

Outputs of similar age from Nature Communications

#86

of 1,102 outputs

Altmetric has tracked 20,751,917 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 41,113 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.6. 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 281,873 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 1,102 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