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A Powder-free DNA Extraction Workflow for Skeletal Samples.

Michelle Harrel1, Sheree Hughes-Stamm1,2

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Forensic DNA extraction from skeletal remains can be simplified. A new method avoids powdering bone or teeth, offering a faster screening tool for DNA profiling and potentially improving laboratory efficiency.

Keywords:
DNAPrepFiler® BTA™ forensic DNA extraction kitboneforensic biologyforensic scienceshort tandem repeatsskeletonized human remains

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Area of Science:

  • Forensic science
  • Molecular biology
  • Anthropology

Background:

  • Skeletal material processing for DNA extraction presents significant challenges, including labor intensity, time consumption, specialized equipment needs, and contamination risks.
  • Current protocols often require powdering bone or teeth, which adds complexity and time to the workflow.

Purpose of the Study:

  • To evaluate a non-powdering DNA extraction method for skeletal samples using the PrepFiler® BTA™ Forensic DNA Extraction Kit.
  • To optimize sample mass and incubation times for efficient DNA recovery from whole bone chips.
  • To assess the effectiveness of this method on diverse skeletal remains from human cadavers.

Main Methods:

  • Testing various sample masses (e.g., 50 mg, 150 mg) and incubation times (2, 4, 16 hours) with whole bone chips.
  • Applying the optimized method to bones and tooth fragments from human cadavers using an automated platform.
  • Comparing results with traditional powdering methods for challenging samples.

Main Results:

  • Over 33% of skeletal samples yielded full DNA profiles without powdering or protocol modification.
  • Incomplete short tandem repeat (STR) profiles were more common in non-powdered samples with low DNA yields.
  • Powdered tissue provided slightly improved results for samples with limited DNA.

Conclusions:

  • A faster, non-powdering DNA extraction method shows promise for processing skeletal samples.
  • This approach can serve as an effective first-pass screening tool in forensic laboratories.
  • Further optimization may be needed for samples with very low DNA quantities.