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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
Published on: June 8, 2020
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RNA-seq RNAaccess identified as the preferred method for gene expression analysis of low quality FFPE samples
Kai Song1, Emon Elboudwarej1, Xi Zhao1
1Gilead Sciences, Inc., Foster City, California, United States of America.
Plos One
|October 26, 2023
Summary
The RNAaccess RNA-seq protocol is optimal for gene expression profiling of formalin-fixed paraffin-embedded (FFPE) samples, even those with sub-optimal quality. This method enhances reproducibility and broad transcriptome coverage for biomarker discovery.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Formalin-fixed paraffin-embedded (FFPE) samples are widely used in clinical research but present challenges for RNA integrity.
- RNA degradation in FFPE tissues complicates accurate gene expression profiling using RNA sequencing (RNA-seq).
Purpose of the Study:
- To identify an optimal RNA-seq protocol for gene expression profiling of FFPE samples.
- To establish quality control parameters for RNA-seq analysis of FFPE tissues.
Main Methods:
- Compared RNA-seq library preparation methods (RNAaccess, RiboZero, PolyA) using FFPE and fresh-frozen triple-negative breast cancer tissues.
- Applied the optimal method to FFPE gastric cancer tissues to determine minimum RNA quality (DV200) and input requirements.
- Correlated RNAaccess RNA-seq results with NanoString platform data.
Main Results:
- The RNAaccess method demonstrated the highest concordance in gene expression profiling for FFPE samples.
- A minimum RNA DV200 of 10% and 10ng RNA input were established for reproducible gene expression data from FFPE samples.
- RNAaccess RNA-seq and NanoString platforms showed high concordance for shared genes, with RNA-seq offering broader transcriptome coverage.
Conclusions:
- The RNAaccess RNA-seq protocol is recommended for gene expression profiling of FFPE samples.
- Established minimum RNA quality and input requirements facilitate the inclusion of lower-quality FFPE samples in analyses.
- This approach can increase the statistical power of gene expression studies using archival FFPE tissues.

