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Structural and energetic basis for hybridization limits in high-density DNA monolayers

Overview of attention for article published in Nanoscale, January 2013
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Article details
Title
Structural and energetic basis for hybridization limits in high-density DNA monolayers
Published in
Nanoscale, January 2013
DOI 10.1039/c3nr01799k
Pubmed ID
Authors
Abstract

High-density monolayers (HDMs) of single-strand (ss) DNA are important nanoscale platforms for the fabrication of sensors and for mechanistic studies of enzymes on surfaces. Such systems can be used, for example, to monitor gene expression, and for the construction of more complex nanodevices via selective hybridization with the complementary oligos dissolved in solution. In this framework, controlling HDM hybridization is essential to control the final properties. Different studies demonstrate that at the typical density of ≈10(13) molecules per cm(2) no more than ≈30-40% of the HDM ssDNA is successfully hybridized. Until now, however, the origin of the HDM hybridization limit has remained unclear. In this work, molecular dynamics (MD) simulations of HDM systems with variable hybridization reveal that, independently of other experimental parameters, the effective hybridization for a HDM of this density is intrinsically limited by molecular and electrostatic crowding. A detailed structural analysis of the HDM model shows good agreement with our atomic force microscopy (AFM) experiments, and provides further insight into the steric hindrance behaviour and time-resolved surface topography of these nanostructured systems. The explicit relationship proposed between structural crowding and limited HDM hybridization offers a rationale to control the final properties of HDM-based nanodevices.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Australia 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Researcher 4 19%
Other 2 10%
Student > Bachelor 2 10%
Student > Master 2 10%
Other 2 10%
Unknown 2 10%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 5 24%
Chemistry 4 19%
Biochemistry, Genetics and Molecular Biology 2 10%
Agricultural and Biological Sciences 2 10%
Engineering 2 10%
Other 3 14%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 September 2013.
All research outputs
#20,200,843
of 22,719,618 outputs
Outputs from Nanoscale
#6,980
of 9,183 outputs
Outputs of similar age
#248,780
of 280,759 outputs
Outputs of similar age from Nanoscale
#392
of 415 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,183 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 415 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.