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Amplification-free detection of microRNAs via a rapid microarray-based sandwich assay

Overview of attention for article published in Analytical & Bioanalytical Chemistry, March 2017
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Title
Amplification-free detection of microRNAs via a rapid microarray-based sandwich assay
Published in
Analytical & Bioanalytical Chemistry, March 2017
DOI 10.1007/s00216-017-0298-6
Pubmed ID
Authors

Eoin Clancy, Martina Burke, Vahid Arabkari, Thomas Barry, Helena Kelly, Róisín M. Dwyer, Michael J. Kerin, Terry J. Smith

Abstract

The detection and profiling of microRNAs are of great interest in disease diagnosis and prognosis. In this paper, we present a method for the rapid amplification-free detection of microRNAs from total RNA samples. In a two-step sandwich assay approach, fluorescently labeled reporter probes were first hybridized with their corresponding target microRNAs. The reaction mix was then added to a microarray to enable their specific capture and detection. Reporter probes were Tm equalized, enabling specificity by adjusting the length of the capture probe while maintaining the stabilizing effect brought about by coaxial base stacking. The optimized assay can specifically detect microRNAs in spiked samples at concentrations as low as 1 pM and from as little as 100 ng of total RNA in 2 h. The detection signal was linear between 1 and 100 pM (R(2) = 0.99). Our assay data correlated well with results generated by qPCR when we profiled a select number of breast cancer related microRNAs in a total RNA sample.

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The data shown below were collected from the profile of 1 X user 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Bachelor 3 14%
Student > Doctoral Student 2 9%
Lecturer 2 9%
Student > Ph. D. Student 2 9%
Other 4 18%
Unknown 4 18%
Readers by discipline Count As %
Chemistry 6 27%
Biochemistry, Genetics and Molecular Biology 2 9%
Agricultural and Biological Sciences 2 9%
Engineering 2 9%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 6 27%
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 27 April 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#283,518
of 323,059 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#95
of 146 outputs
Altmetric has tracked 25,382,440 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 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. 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 146 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.