Related Experiment Video
Updated: Jul 14, 2026

Gel-seq: A Method for Simultaneous Sequencing Library Preparation of DNA and RNA Using Hydrogel Matrices
Published on: March 26, 2018
Comparison of hybridization-based and sequencing-based gene expression technologies on biological replicates
Fang Liu1, Tor-Kristian Jenssen, Jeff Trimarchi
1Department of Tumor Biology, Rikshopitalet-Radiumhospitalet Medical Center, Montebello, Oslo, Norway. fangli@radium.uio.no
Comparing gene expression profiling technologies, DNA microarrays showed high correlation, while Massively Parallel Signature Sequencing (MPSS) showed moderate correlation with microarrays. Both are valuable transcriptome profiling tools.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- High-throughput gene expression profiling technologies have advanced significantly.
- These technologies are broadly categorized into hybridization-based (e.g., DNA microarrays) and sequencing-based (e.g., MPSS) approaches.
- Cross-platform data comparability is a growing concern with diverse technology adoption.
Purpose of the Study:
- To compare gene expression data agreement between one-dye DNA microarray platforms and Massively Parallel Signature Sequencing (MPSS).
- To assess the compatibility of data generated from different high-throughput profiling technologies.
Main Methods:
- Utilized identical biological samples for comparison.
- Employed one-dye DNA microarray platforms.
- Used Massively Parallel Signature Sequencing (MPSS) technology.
Main Results:
- DNA microarray platforms demonstrated high internal data correlation.
- Moderate correlation was observed between DNA microarray and MPSS data.
- Discrepancies highlight inherent limitations of each technology and the impact of biological replicate variation on differential expression analysis.
Conclusions:
- Hybridization-based and sequencing-based gene expression technologies are complementary, not competitive.
- Both DNA microarrays and MPSS are crucial for comprehensive transcriptome profiling.
- Caution is advised in differential expression analysis and biomarker discovery due to inter-technology variations.
More Related Videos
12:44Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
Published on: November 11, 2014
12:54Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
Related Concept Videos
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
DNA Microarrays
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
In-situ Hybridization
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
Real Time RT-PCR
The real-time quantification of the number of amplified products is...