Related Experiment Video
Updated: Aug 20, 2025

06:38
High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
Published on: February 7, 2019
8.8K
Gene Expression Profiling of FFPE Samples: A Titration Test.
Harshitha Shobha Manjunath1, Moza Al Khulaifi2, Heba Sidahmed2
1Omics Core, Integrated Genomics Services, Research Department, 187187Sidra Medicine, Doha, Qatar.
Technology in Cancer Research & Treatment
|November 23, 2022
Summary
Gene expression analysis of formalin-fixed paraffin-embedded (FFPE) tissues is feasible with the NanoString nCounter platform. This robust technology accurately assesses gene expression in degraded RNA samples with DV200 values over 30%.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Formalin-fixed paraffin-embedded (FFPE) tissues are crucial for studying disease progression but often yield degraded RNA.
- Poor RNA quality from FFPE processing hinders accurate gene expression analysis.
- Advancements in genomic technologies offer solutions for analyzing compromised RNA samples.
Purpose of the Study:
- To evaluate RNA extraction methods for FFPE samples.
- To assess the impact of RNA degradation and input quantity on gene expression profiling using the NanoString IO360 panel.
- To determine the reliability of the NanoString nCounter platform for FFPE samples.
Main Methods:
- Tested two RNA extraction methods for FFPE tissues.
- Performed titration experiments with varying RNA input amounts.
- Analyzed FFPE samples with different DV200 values on the NanoString nCounter platform.
Main Results:
- The NanoString nCounter platform demonstrated robustness in gene expression analysis.
- Accurate gene expression profiling was achieved for FFPE samples with DV200 values greater than 30%.
- The platform's performance was consistent across different RNA input levels.
Conclusions:
- The NanoString nCounter platform is a reliable tool for gene expression analysis of FFPE samples.
- The platform's robustness and ease of use are advantageous for clinical settings.
- High-quality gene expression data can be obtained from degraded FFPE RNA with DV200 > 30%.

