Evidence map›Paper›PMID 31581206›Full record

ArticlePloS one2019

Artificial fingerprints for cross-comparison of forensic DNA and protein recovery methods.

Danielle S LeSassier, Kathleen Q Schulte, Tara E Manley, Alan R Smith, Megan L Powals, Nicolette C Albright, Benjamin C Ludolph, Katharina L Weber, August E Woerner, Myles W Gardner and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Danielle S LeSassierSignature Science, LLC, Austin, Texas, United States of America.ORCID 0000-0002-7932-5064
Kathleen Q SchulteSignature Science, LLC, Austin, Texas, United States of America.
Tara E ManleySignature Science, LLC, Austin, Texas, United States of America.
Alan R SmithSignature Science, LLC, Austin, Texas, United States of America.
Megan L PowalsSignature Science, LLC, Austin, Texas, United States of America.
Nicolette C AlbrightSignature Science, LLC, Austin, Texas, United States of America.
Benjamin C LudolphSignature Science, LLC, Austin, Texas, United States of America.ORCID 0000-0001-6052-9713
Katharina L WeberSignature Science, LLC, Austin, Texas, United States of America.
August E WoernerCenter for Human Identification, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Myles W GardnerSignature Science, LLC, Austin, Texas, United States of America.
F Curtis HewittSignature Science, LLC, Austin, Texas, United States of America.ORCID 0000-0001-9546-5625
Signature Research (United States) · USUniversity of North Texas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative genomic and proteomic evaluation of human latent fingerprint depositions represents a challenge within the forensic field, due to the high variability in the amount of DNA and protein initially deposited. To better assess recovery techniques for touch depositions, we present a method to produce simple and customizable artificial fingerprints. These artificial fingerprint samples include the primary components of a typical latent fingerprint, specifically sebaceous fluid, eccrine perspiration, extracellular DNA, and proteinaceous epidermal skin material (i.e., shed skin cells). A commercially available emulsion of sebaceous and eccrine perspiration material provides a chemically-relevant suspension solution for fingerprint deposition, simplifying artificial fingerprint production. Extracted human genomic DNA is added to accurately mimic the extracellular DNA content of a typical latent print and comparable DNA yields are recovered from the artificial prints relative to human prints across surface types. Capitalizing on recent advancements in the use of protein sequence identification for human forensic analysis, these samples also contain a representative quantity of protein, originating from epidermal skin cells collected from the fingers and palms of volunteers. Proteomic sequencing by liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis indicates a high level of protein overlap between artificial and latent prints. Data are available via ProteomeXchange with identifier PXD015445. By including known quantities of DNA and protein into each artificial print, this method enables total DNA and protein recovery to be quantitatively assessed across different sample collection and extraction methods to better evaluate extraction efficiency. Collectively, these artificial fingerprint samples are simple to make, highly versatile and customizable, and accurately represent the biochemical composition and biological signatures of human fingerprints.

Indexed as

DermatoglyphicsAdultDNAEpidermisFemaleForensic SciencesHumansMaleProteinsProteomeSweatDNAProteinsProteome

Identifiers

PMID31581206
PMCPMC6776342
OpenAlexW2979052947

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.