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Multiplexed enrichment of rare DNA variants via sequence-selective and temperature-robust amplification

Overview of attention for article published in Nature Biomedical Engineering, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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2 blogs
twitter
11 X users
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12 patents
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2 Facebook pages
wikipedia
2 Wikipedia pages

Citations

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89 Dimensions

Readers on

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107 Mendeley
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Title
Multiplexed enrichment of rare DNA variants via sequence-selective and temperature-robust amplification
Published in
Nature Biomedical Engineering, September 2017
DOI 10.1038/s41551-017-0126-5
Pubmed ID
Authors

Lucia R. Wu, Sherry X. Chen, Yalei Wu, Abhijit A. Patel, David Yu Zhang

Abstract

Rare DNA-sequence variants hold important clinical and biological information, but existing detection techniques are expensive, complex, allele-specific, or don't allow for significant multiplexing. Here, we report a temperature-robust polymerase-chain-reaction method, which we term blocker displacement amplification (BDA), that selectively amplifies all sequence variants, including single-nucleotide variants (SNVs), within a roughly 20-nucleotide window by 1,000-fold over wild-type sequences. This allows for easy detection and quantitation of hundreds of potential variants originally at ≤0.1% in allele frequency. BDA is compatible with inexpensive thermocycler instrumentation and employs a rationally designed competitive hybridization reaction to achieve comparable enrichment performance across annealing temperatures ranging from 56 °C to 64 °C. To show the sequence generality of BDA, we demonstrate enrichment of 156 SNVs and the reliable detection of single-digit copies. We also show that the BDA detection of rare driver mutations in cell-free DNA samples extracted from the blood plasma of lung-cancer patients is highly consistent with deep sequencing using molecular lineage tags, with a receiver operator characteristic accuracy of 95%.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 23%
Researcher 23 21%
Other 7 7%
Student > Master 7 7%
Student > Bachelor 6 6%
Other 14 13%
Unknown 25 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 39%
Agricultural and Biological Sciences 10 9%
Engineering 9 8%
Medicine and Dentistry 6 6%
Chemistry 6 6%
Other 7 7%
Unknown 27 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 30 January 2024.
All research outputs
#1,054,232
of 24,652,007 outputs
Outputs from Nature Biomedical Engineering
#494
of 1,061 outputs
Outputs of similar age
#21,767
of 320,234 outputs
Outputs of similar age from Nature Biomedical Engineering
#12
of 34 outputs
Altmetric has tracked 24,652,007 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,061 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 89.5. This one has gotten more attention than average, scoring higher than 53% 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 320,234 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 93% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.