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Updated: Mar 1, 2026

Preparation of Formalin-fixed Paraffin-embedded Tissue Cores for both RNA and DNA Extraction
Published on: August 21, 2016
Automated high throughput nucleic acid purification from formalin-fixed paraffin-embedded tissue samples for next
Simon Haile1, Pawan Pandoh1, Helen McDonald1
1Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada.
We optimized an automated nucleic acid extraction protocol for formalin-fixed, paraffin-embedded (FFPE) samples, overcoming common hurdles in sequencing. This method enables scalable, high-throughput analysis of FFPE tissues for molecular research.
Area of Science:
- Molecular Pathology
- Genomic Medicine
- Biotechnology
Background:
- Formalin-fixed, paraffin-embedded (FFPE) samples are abundant in pathology labs.
- Retrospective analysis of FFPE samples is crucial for understanding carcinogenesis and disease outcomes.
- Existing methods for nucleic acid extraction from FFPE samples face challenges like nucleic acid damage and labor intensity.
Purpose of the Study:
- To optimize and automate a nucleic acid extraction protocol for FFPE samples.
- To address limitations in FFPE sample processing for next-generation sequencing (NGS).
- To develop a scalable and efficient method for molecular analysis of FFPE tissues.
Main Methods:
- Development and automation of a 96-well magnetic bead-based nucleic acid extraction protocol.
- Optimization of library preparation from low input amounts (100 ng) of total RNA and DNA.
- Demonstration of micro-RNA sequencing using extracted RNA.
Main Results:
- Achieved 95-100% success rate in library generation from FFPE samples.
- The protocol is scalable for large cohorts and compatible with automation.
- Demonstrated successful micro-RNA sequencing, highlighting RNA yield and quality.
Conclusions:
- The optimized protocol overcomes major hurdles in FFPE sample sequencing.
- The method offers scalability, rapid throughput, and applicability to limited clinical samples.
- This advancement facilitates broader retrospective molecular analyses of FFPE archives.
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