Evidence map›Paper›PMID 33782417›Full record

ArticleScientific reports2021

Revisiting single cell analysis in forensic science.

Davis R L Watkins, Dan Myers, Hannah E Xavier, Michael A Marciano

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. DNA forensics at forty: the way forward.International journal of legal medicine · 2025
    Review
  7. Review
  8. Article
  9. Article
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  11. Review
  12. Article
  13. Article
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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

4 authors.

Davis R L WatkinsForensic and National Security Sciences Institute, Syracuse University, 100 College Place 120 Life Science Building, Syracuse, NY, 13244, USA.
Dan MyersFieldable Forensics, PO Box 141, Skaneateles Falls, NY, 13153, USA.
Hannah E XavierForensic and National Security Sciences Institute, Syracuse University, 100 College Place 120 Life Science Building, Syracuse, NY, 13244, USA.
Michael A MarcianoForensic and National Security Sciences Institute, Syracuse University, 100 College Place 120 Life Science Building, Syracuse, NY, 13244, USA. mamarcia@syr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forensic science has yet to take full advantage of single cell analysis. Its greatest benefit is the ability to alleviate the challenges associated with DNA mixture analysis, which remains a significant hurdle in forensic science. Many of the factors that cause complexity in mixture interpretation are absent in single cell analyses-multiple contributors, varied levels of contribution, and allele masking. This study revisits single cell analyses in the context of forensic identification, introducing previously unseen depth to the characterization of data generated from single cells using a novel pipeline that includes recovery of single cells using the DEPArray NxT and amplification using the PowerPlex Fusion 6c kit with varied PCR cycles (29, 30, and 31). The resulting allelic signal was assessed using analytical thresholds of 10, 100, and 150RFU. The mean peak heights across the sample sets generally increased as cycle number increased, 75.0 ± 85.3, 147.1 ± 172.6, and 226.1 ± 298.2 RFU, for 29, 30, and 31 cycles, respectively. The average proportion of allele/locus dropout was most significantly impacted by changes in the detection threshold, whereas increases in PCR cycle number had less impact. Overall data quality improved notably when increasing PCR from 29 to 30 cycles, less improvement and more volatility was introduced at 31 cycles. The average random match probabilities for the 29, 30, and 31 cycle sets at 150RFU are 1 in 2.4 × 10

Indexed as

Forensic SciencesAllelesDNA FingerprintingHumansPolymerase Chain ReactionProbabilitySingle-Cell Analysis

Identifiers

PMID33782417
PMCPMC8007698

What OpenQuestion holds

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Registered trials

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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.