Evidence map›Paper›PMID 34573344›Full record

ArticleGenes2021

Pushing the Boundaries: Forensic DNA Phenotyping Challenged by Single-Cell Sequencing.

Marta Diepenbroek, Birgit Bayer, Katja Anslinger

Abstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. DNA forensics at forty: the way forward.International journal of legal medicine · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. 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

3 authors.

Marta DiepenbroekDepartment of Forensic Genetics, Institute of Legal Medicine, Ludwig Maximilian University of Munich, Nußbaumstraße 26, 80336 Munich, Germany.
Birgit BayerDepartment of Forensic Genetics, Institute of Legal Medicine, Ludwig Maximilian University of Munich, Nußbaumstraße 26, 80336 Munich, Germany.
Katja AnslingerDepartment of Forensic Genetics, Institute of Legal Medicine, Ludwig Maximilian University of Munich, Nußbaumstraße 26, 80336 Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell sequencing is a fast developing and very promising field; however, it is not commonly used in forensics. The main motivation behind introducing this technology into forensics is to improve mixture deconvolution, especially when a trace consists of the same cell type. Successful studies demonstrate the ability to analyze a mixture by separating single cells and obtaining CE-based STR profiles. This indicates a potential use of the method in other forensic investigations, like forensic DNA phenotyping, in which using mixed traces is not fully recommended. For this study, we collected single-source autopsy blood from which the white cells were first stained and later separated with the DEPArray™ N×T System. Groups of 20, 10, and 5 cells, as well as 20 single cells, were collected and submitted for DNA extraction. Libraries were prepared using the Ion AmpliSeq™ PhenoTrivium Panel, which includes both phenotype (HIrisPlex-S: eye, hair, and skin color) and ancestry-associated SNP-markers. Prior to sequencing, half of the single-cell-based libraries were additionally amplified and purified in order to improve the library concentrations. Ancestry and phenotype analysis resulted in nearly full consensus profiles resulting in correct predictions not only for the cells groups but also for the ten re-amplified single-cell libraries. Our results suggest that sequencing of single cells can be a promising tool used to deconvolute mixed traces submitted for forensic DNA phenotyping.

Indexed as

Cell SeparationEye ColorFemaleForensic GeneticsGene FrequencyGenotypeHair ColorHumansModels, GeneticPolymorphism, Single NucleotideSequence Analysis, DNASingle-Cell AnalysisSkin Pigmentationancestry predictionDEPArrayFDPforensic DNA phenotypingHIrisPlex-Slow template DNAltDNAmassively parallel sequencingmixture deconvolutionnext-generation sequencingphenotype predictionsingle-cell genomicssingle-cell sequencing

Identifiers

PMID34573344
PMCPMC8466929

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.