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Global analysis of gene expression by differential display: a mathematical model
1Department of Computing and Decision Sciences, Stillman School of Business, Seton Hall University, South Orange, NJ, USA.
Methods in Molecular Biology (Clifton, N.J.)
|November 3, 2005
Summary
This study provides a mathematical model for differential display (DD) to determine optimal primer combinations for gene expression analysis. The findings suggest 80-160 primer combinations can detect most eukaryotic mRNAs with high probability.
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- Differential display (DD) is a widely used technique for identifying differentially expressed genes.
- A lack of precise guidance exists regarding the number of DD primer combinations required for comprehensive gene coverage in eukaryotic cells.
Purpose of the Study:
- To critically evaluate gene coverage in DD based on primer characteristics and mRNA tail length.
- To develop a mathematical model predicting the necessary DD primer combinations for detecting eukaryotic mRNAs.
Main Methods:
- Mathematical modeling of DD gene coverage.
- Computer simulation of the DD process.
- Experimental validation using fluorescent DD screening for p53 target genes.
Main Results:
- A new DD mathematical model predicts that 80-160 arbitrary 13mer primers combined with three one-base anchored oligo-dT primers can detect mRNAs with 74-93% probability.
- Computer simulations and experimental data support the model's predictions.
- The study identifies key factors influencing DD gene coverage, including primer length and matching criteria.
Conclusions:
- This research provides a theoretical foundation for global gene expression analysis using DD.
- The developed model offers practical guidance on selecting optimal DD primer combinations.
- The findings enhance the efficiency and accuracy of identifying differentially expressed genes.
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