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Akkermansia muciniphila as a Model Case for the Development of an Improved Quantitative RPA Microbiome Assay

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, July 2018
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Akkermansia muciniphila as a Model Case for the Development of an Improved Quantitative RPA Microbiome Assay
Published in
Frontiers in Cellular and Infection Microbiology, July 2018
DOI 10.3389/fcimb.2018.00237
Pubmed ID
Authors

Heather J. Goux, Dimple Chavan, Mary Crum, Katerina Kourentzi, Richard C. Willson

Abstract

Changes in the population levels of specific bacterial species within the gut microbiome have been linked to a variety of illnesses. Most assays that determine the relative abundance of specific taxa are based on amplification and sequencing of stable phylogenetic gene regions. Such lab-based analysis requires pre-analytical sample preservation and storage that have been shown to introduce biases in the characterization of microbial profiles. Recombinase polymerase amplification (RPA) is an isothermal nucleic acid amplification method that employs commercially available, easy-to-use freeze-dried enzyme pellets that can be used to analyze specimens rapidly in the field or clinic, using a portable fluorometer. Immediate analysis of diverse bacterial communities can lead to a more accurate quantification of relative bacterial abundance. In this study, we discovered that universal bacterial 16S ribosomal DNA primers give false-positive signals in RPA analysis because manufacturing host Escherichia coli DNA is present in the RPA reagents. The manufacturer of RPA reagents advises against developing an RPA assay that detects the presence of E. coli due to the presence of contaminating E. coli DNA in the reaction buffer (www.twistdx.co.uk/). We, therefore, explored four strategies to deplete or fragment extraneous DNA in RPA reagents while preserving enzyme activity: metal-chelate affinity chromatography, sonication, DNA cleavage using methylation-dependent restriction endonucleases, and DNA depletion using anti-DNA antibodies. Removing DNA with anti-DNA antibodies enabled the development of a quantitative RPA microbiome assay capable of determining the relative abundance of the physiologically-important bacterium Akkermansia muciniphila in human feces.

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The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 7 14%
Student > Master 4 8%
Student > Bachelor 3 6%
Student > Postgraduate 3 6%
Other 8 16%
Unknown 16 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 18%
Biochemistry, Genetics and Molecular Biology 7 14%
Medicine and Dentistry 4 8%
Immunology and Microbiology 3 6%
Veterinary Science and Veterinary Medicine 1 2%
Other 7 14%
Unknown 18 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 March 2020.
All research outputs
#14,698,352
of 25,038,941 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#2,461
of 7,835 outputs
Outputs of similar age
#170,810
of 332,547 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#46
of 101 outputs
Altmetric has tracked 25,038,941 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,835 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 66% 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 332,547 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 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 53% of its contemporaries.