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A complementary forensic ‘proteo-genomic’ approach for the direct identification of biological fluid traces under fingernails

Overview of attention for article published in Analytical & Bioanalytical Chemistry, July 2018
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Title
A complementary forensic ‘proteo-genomic’ approach for the direct identification of biological fluid traces under fingernails
Published in
Analytical & Bioanalytical Chemistry, July 2018
DOI 10.1007/s00216-018-1223-3
Pubmed ID
Authors

Sathisha Kamanna, Julianne Henry, Nico Voelcker, Adrian Linacre, K. Paul Kirkbride

Abstract

Violent contact between individuals during a crime can result in body fluids becoming trapped under the fingernails of the individuals involved. The traces under fingernails represent valuable forensic evidence because DNA profiling can indicate from whom the trace originated and proteomic methods can be used to determine the type of fluid in the trace, thus providing evidence as to the circumstances surrounding the crime. Here, we present an initial study of an analytical strategy that involves two complementary techniques, direct PCR DNA profiling and direct mass spectrometry-based protein biomarker detection, for the comprehensive examination of traces of biological fluids gathered from underneath fingernails. With regard to protein biomarker detection, direct MALDI-ToF MS/MS is very sensitive, allowing results to be obtained from biological material present on only a few fibres plucked from a microswab used to collect the traces. Human cornulin, a protein biomarker for vaginal fluid, could be detected up to 5 h after it had been deposited under fingernails whereas haemoglobin, a biomarker for blood, is somewhat more persistent under fingernails and could be detected up to 18 h post-deposition. Bottom-up tandem mass spectrometry techniques were used to provide a high level of confidence in assigning the identity of protein biomarkers. nLC-ESI-qToF MS/MS offered higher levels of confidence and the ability to detect traces that had been present under fingernails for longer periods of time, but this performance came with the cost of longer analysis time and a more laborious sampling approach. Graphical abstract ᅟ.

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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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Ph. D. Student 3 13%
Lecturer 2 8%
Researcher 2 8%
Unspecified 1 4%
Other 3 13%
Unknown 7 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 25%
Chemistry 4 17%
Medicine and Dentistry 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 2 8%
Unknown 8 33%
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 05 September 2018.
All research outputs
#15,291,904
of 25,714,183 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,616
of 9,727 outputs
Outputs of similar age
#180,086
of 340,418 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#49
of 179 outputs
Altmetric has tracked 25,714,183 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 9,727 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 52% 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 340,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 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 72% of its contemporaries.