Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The next frontier in forensic genetics: Single-cell genetic analysis and its expanding role.

Forensic science international. Genetics·2026
Same author

Challenges in mRNA-based time since deposition estimation: A multiplex MPS primer panel investigation.

Forensic science international. Genetics·2026
Same author

Probabilistic genotyping replicate analysis of FaSTR clustered single sperm aSTR haplotypes reconstitutes probative diploid DNA genotypes from complex semen mixtures.

Journal of forensic sciences·2025
Same author

mRNA profiling and donor association of mock casework samples: Results of a 3rd and 4th EDNAP collaborative exercise.

Forensic science international. Genetics·2025
Same author

Assessing Adventitious Matches of Non-Donors Related to True Contributors.

Biomolecules·2025
Same author

Single cell genomics applications in forensic science: Current state and future directions.

iScience·2023

Related Experiment Video

Updated: Aug 5, 2025

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping
07:00

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping

Published on: May 25, 2015

17.2K

Validation of Probabilistic Genotyping Software for Single Cell STR Analysis.

Kaitlin Huffman1, Jack Ballantyne1,2,3

  • 1Graduate Program in Chemistry, Department of Chemistry, University of Central Florida, Orlando, FL 32816-2366, USA.

Genes
|March 29, 2023
PubMed
Summary
This summary is machine-generated.

Probabilistic genotyping (PG) software enhances forensic DNA analysis of complex mixtures. Validating PG tools like STRmix and EuroForMix for single or few-cell applications improves donor identification from low-template DNA samples.

Keywords:
mixture deconvolutionprobabilistic genotypingsingle-cell analysis

More Related Videos

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.2K
Genotyping of Staphylococcus aureus by Ribosomal Spacer PCR RS-PCR
08:51

Genotyping of Staphylococcus aureus by Ribosomal Spacer PCR RS-PCR

Published on: November 4, 2016

9.7K

Related Experiment Videos

Last Updated: Aug 5, 2025

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping
07:00

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping

Published on: May 25, 2015

17.2K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.2K
Genotyping of Staphylococcus aureus by Ribosomal Spacer PCR RS-PCR
08:51

Genotyping of Staphylococcus aureus by Ribosomal Spacer PCR RS-PCR

Published on: November 4, 2016

9.7K

Area of Science:

  • Forensic Science
  • Genetics
  • Molecular Biology

Background:

  • Probabilistic genotyping (PG) software aids forensic DNA mixture analysis.
  • Current PG applications primarily focus on bulk cellular extracts.
  • Mixture complexity, including allele overlap and minor contributors, limits probative information.

Purpose of the Study:

  • To reduce mixture complexity by employing single-cell subsampling prior to genotyping.
  • To validate PG methods for analyzing low template DNA samples from single or few cells.
  • To demonstrate the successful validation of STRmix and EuroForMix for single or few-cell applications.

Main Methods:

  • Single-cell subsampling of bulk DNA mixtures.
  • Genotyping and interpretation of subsampled DNA.
  • Application of probabilistic genotyping software (STRmix and EuroForMix).
  • Utilizing software replicate analysis functions to combine data from multiple cell subsamples.

Main Results:

  • Successful validation of STRmix and EuroForMix for single or few-cell DNA analysis.
  • Demonstrated improvement in obtaining full DNA profile donor information by combining subsamples.
  • Reduced mixture complexity through single-cell subsampling.

Conclusions:

  • Probabilistic genotyping is effective for analyzing low template DNA from single or few cells.
  • STRmix and EuroForMix are validated for single or few-cell applications, enhancing forensic DNA mixture interpretation.
  • Single-cell subsampling combined with PG offers a robust approach for complex forensic DNA samples.