Microarray gene expression analysis of porcine skeletal muscle sampled at several post mortem time points

Area of Science:

• Animal Science
• Molecular Biology
• Biotechnology

Background:

• Gene expression profiling is crucial for understanding livestock production and product quality.
• Assessing the impact of post-mortem time on RNA integrity is essential for reliable gene expression analysis in meat science.

Purpose of the Study:

• To evaluate the effect of post-mortem time (up to 24 hours) on gene expression profiling in porcine skeletal muscle.
• To determine the reliability of microarray data for identifying pre-mortem factors despite potential RNA degradation.

Main Methods:

• Pilot study utilizing Affymetrix Gene Chip Porcine Genome Arrays.
• Analysis of porcine skeletal muscle at four post-mortem time points (up to 24 hours).
• Comprehensive data analysis including quality control parameters, statistical modeling (principal component analysis, hierarchical clustering, mixed regression models).

Main Results:

• No significant effect of post-mortem time on gene expression profiles was detected.
• Key quality control parameters and statistical analyses indicated no bias due to RNA degradation over 24 hours post-mortem.
• Microarray data demonstrated stability and reliability for subsequent analyses.

Conclusions:

• Post-mortem time up to 24 hours does not introduce bias in gene expression profiling of porcine skeletal muscle.
• Microarray data from muscle processed over extended periods can be used to identify pre-mortem conditions and for product authentication.
• These findings support the development of gene expression biomarkers for pig production and meat quality assessment.