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[STR profiling of genomic DNA from HE stained tissue sections]
Yan Liu1, Zhen-Min Zhao, Li Li
1Shanghai Key Laboratory of Forensic Medicine, Institute of Forensic Science, Ministry of Justice, PR China, Shanghai 200063, China. qliuyan@163.com
Fa Yi Xue Za Zhi
|February 4, 2011
Summary
This study developed a DNA analysis method for forensic use on stained tissue sections. While successful, longer storage times reduced the number of detected genetic alleles due to DNA degradation.
Area of Science:
- Forensic science
- Molecular biology
- Histopathology
Context:
- Forensic investigations often rely on DNA analysis, but obtaining quality DNA from preserved tissue samples can be challenging.
- Hematoxylin and eosin (HE) staining is a common method for tissue preservation, but it can impact DNA integrity.
- Developing reliable DNA extraction and analysis protocols for stained tissues is crucial for advancing forensic casework.
Purpose:
- To establish a reliable Short Tandem Repeat (STR) analysis method for DNA extracted from HE-stained human tissue sections.
- To assess the efficacy of this protocol for forensic applications, particularly in identifying individuals from historical or archived samples.
Summary:
- Genomic DNA was successfully extracted from various HE-stained human tissues (heart, liver, lung, intestine) from autopsy cases.
- DNA quantitation and STR analysis were performed using TaqMan PCR and the Identifiler PCR Amplification kit, respectively.
- Sufficient DNA concentrations (>1 ng/µL) were obtained without PCR inhibition, though DNA degradation was noted in samples stored longer, impacting allele detection.
Impact:
- This method enables the analysis of valuable DNA evidence from archived and stained tissue samples, potentially solving cold cases.
- The findings highlight the importance of sample storage duration, as extended storage can lead to DNA degradation and reduced STR profile quality.
- The protocol provides a foundation for improving DNA profiling techniques in forensic science, especially when dealing with challenging sample types.

