Quantification of gene expression while taking into account RNA alternative splicing.

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Gene expression analysis is crucial for functional genomics.
• Inconsistent quantification across different methods challenges research conclusions.
• RNA alternative splicing complicates accurate gene expression measurement.

Purpose of the Study:

• To address inconsistencies in gene expression quantification.
• To evaluate methods considering RNA alternative splicing.
• To identify the optimal method for accurate transcript and gene expression measurement.

Main Methods:

• Comparison of quantitative real-time PCR (qPCR), Northern hybridization, microarray, and serial analysis of gene expression.
• Evaluation of shot-gun RNA sequencing (RNA-seq) for gene expression quantification.
• Assessment of RNA-seq reproducibility across individuals.

Main Results:

• Traditional methods (qPCR, Northern, microarray, SAGE) struggle with quantifying spliced transcripts.
• Shot-gun RNA-seq accurately quantifies expression of individual transcripts and overall gene expression.
• Shot-gun RNA-seq demonstrates high reproducibility (r = 0.90-0.98) between individuals.

Conclusions:

• RNA alternative splicing necessitates advanced quantification techniques.
• Shot-gun or full-length RNA-seq is the preferred method for precise gene expression analysis.
• RNA-seq provides reliable and reproducible gene expression data, even with alternative splicing.