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Updated: Jun 25, 2026

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
Published on: June 8, 2020
Analysis of variance components reveals the contribution of sample processing to transcript variation.
Douwe van der Veen1, José Miguel Oliveira, Willy A M van den Berg
1Laboratory of Microbiology, Fungal Genomics Group, Wageningen University and Research Centre, Dreijenplein 10, Building 316, 6703 HB Wageningen, The Netherlands.
Designing DNA microarray experiments for Aspergillus niger requires understanding biological and technical variation. A quantitative real-time PCR (qPCR) approach identified day-to-day handling as the primary source of variation, informing experimental design.
Area of Science:
- Microbiology
- Molecular Biology
- Genomics
Background:
- Designing DNA microarray experiments necessitates understanding biological and technical variability in the model organism.
- Filamentous fungi like Aspergillus niger present unique challenges in experimental design due to inherent biological and technical variations.
Purpose of the Study:
- To establish a quantitative real-time PCR (qPCR)-based hierarchical experimental design for Aspergillus niger to determine sources of variation.
- To analyze the global transcriptional response to d-xylose using Affymetrix microarrays and identify differentially expressed genes.
- To provide parameters for optimizing the experimental design and data interpretation of microarray studies in filamentous cultures.
Main Methods:
- A quantitative real-time PCR (qPCR)-based hierarchical experimental design was employed.
- Analysis of variance components was used to quantify contributions of different processing steps to total variation.
- Affymetrix microarrays were utilized to analyze the global transcriptional response to d-xylose.
Main Results:
- Day-to-day handling and processing accounted for 68% of the total variation in the experimental setup.
- Fermentor vessel, cDNA synthesis, and qPCR measurement each contributed equally to the remaining variation.
- Twenty-four differentially expressed genes were identified in response to d-xylose, including enzymes for polysaccharide degradation and metabolism.
Conclusions:
- A defined experimental setup using qPCR and variance component analysis is a fast and reliable method to determine biological and technical variation.
- The study confirms that d-xylose signals the availability of complex polysaccharides to Aspergillus niger.
- Optimized experimental design parameters derived from this approach enhance the evaluation and interpretation of microarray data for filamentous cultures.
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