↓ Skip to main content

μ-eLCR: a microfabricated device for electrochemical detection of DNA base changes in breast cancer cell lines

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
μ-eLCR: a microfabricated device for electrochemical detection of DNA base changes in breast cancer cell lines
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2013
DOI 10.1039/c3lc50528f
Pubmed ID
Authors

Eugene J. H. Wee, Sakandar Rauf, Kevin M. Koo, Muhammad J. A. Shiddiky, Matt Trau

Abstract

Microfabricated devices for the electrochemical detection of single DNA base changes in cancer cell lines are highly desirable due to the inherent advantages such as portability, simplicity, and the rapid and inexpensive nature of electrochemical readout methods. Moreover, molecular sensors that use microscale-footprint working electrodes have shown high signal-to-noise ratio. Herein we report a microdevice-based electrochemical assay (μ-eLCR) measuring ligase chain reaction (LCR)-amplified long and short "knife" motifs which reflect the presence or absence of a DNA base change of interest in a target sequence. This μ-eLCR approach has higher sensitivity (4.4 to 10 fold improvement over macrodisk electrodes) and good reproducibility (%RSD 6.5%, n = 12) for the detection of LCR-amplified DNA bases. The devices also exhibited excellent sensitivity for the detection of DNA methylation (C to T base change in a locus associated with cancer metastasis) in two cell lines and serum derived DNA samples. We believe that the μ-eLCR device may be a useful diagnostic tool for inexpensive and rapid detection of single DNA base change applications such as DNA methylation and single nucleotide polymorphism (SNP) detection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Student > Master 6 25%
Researcher 3 13%
Student > Postgraduate 2 8%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 4 17%
Readers by discipline Count As %
Engineering 7 29%
Biochemistry, Genetics and Molecular Biology 3 13%
Medicine and Dentistry 3 13%
Chemistry 3 13%
Materials Science 2 8%
Other 2 8%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 August 2013.
All research outputs
#15,422,552
of 25,756,911 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#4,194
of 5,997 outputs
Outputs of similar age
#173,872
of 291,040 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#223
of 317 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,997 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 291,040 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.