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Real-time quantification to analyze historical Colombian samples detecting a short fragment of hypervariable region II of mitochondrial DNA

Overview of attention for article published in Biomédica, March 2016
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Title
Real-time quantification to analyze historical Colombian samples detecting a short fragment of hypervariable region II of mitochondrial DNA
Published in
Biomédica, March 2016
DOI 10.7705/biomedica.v36i3.3098
Pubmed ID
Authors

Luz Adriana Pérez, Freddy Rodríguez, Carl Henrik Langebaek, Helena Groot

Abstract

Unlike other molecular biology studies, the analysis of ancient DNA (aDNA) requires special infrastructure and methodological conditions to guarantee the quality of the results. One of the main authenticity criteria is DNA quantification, where quantitative real-time PCR is often used given its sensitivity and specificity. Nevertheless, the implementation of these conditions and methodologies to fulfill authenticity criteria imply higher costs. Objective: To develop a simple and less costly method for mitochondrial DNA quantification suitable for highly degraded samples. Materials and methods: The proposed method is based on the use of mini-primers for the specific amplification of short fragments of mitochondrial DNA. The subsequent purification of these amplified fragments allows a standard curve to be constructed with concentrations in accordance to the state of degradation of the samples. Results: The proposed method successfully detected DNA from ancient samples including bone remains and mummified tissue. DNA inhibitory substances were also detected. Conclusion: The proposed method represents a simpler and cost-effective way to detect low amounts of aDNA, and a tool to differentiate DNA-free samples from samples with inhibitory substances.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 21%
Student > Postgraduate 3 21%
Researcher 2 14%
Professor 1 7%
Unspecified 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unspecified 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 6 43%
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 March 2018.
All research outputs
#17,289,387
of 25,377,790 outputs
Outputs from Biomédica
#553
of 848 outputs
Outputs of similar age
#193,259
of 315,024 outputs
Outputs of similar age from Biomédica
#28
of 34 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 848 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 26th percentile – i.e., 26% 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 315,024 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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 is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.