A method for cross-species gene expression analysis with high-density oligonucleotide arrays

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• DNA microarrays are crucial for gene expression analysis but limited to species with known sequences.
• Cross-species applications are hindered by sequence divergence, restricting use to humans and model organisms.

Purpose of the Study:

• To investigate the feasibility of cross-species gene expression analysis using human DNA microarrays in non-model mammals (cattle, pig, dog).
• To develop and validate a method for reliable gene expression profiling across distantly related mammalian species.

Main Methods:

• Utilized Affymetrix human high-density oligonucleotide arrays (GeneChips) for cross-species hybridization experiments.
• Developed a novel algorithm to select reliable probes based on match/mismatch hybridization signals.
• Validated findings using quantitative PCR (qPCR) for selected genes.

Main Results:

• Despite overall low hybridization signals, conserved probes yielded reliable data for cross-species gene expression analysis.
• The developed algorithm effectively identified probes suitable for analysis, enabling accurate comparisons.
• Cross-species hybridization results showed a strong linear correlation with same-species hybridization and were validated by qPCR.

Conclusions:

• Cross-species hybridization with human DNA microarrays is a viable method for gene expression analysis in mammals like cattle, pigs, and dogs.
• The developed probe selection algorithm enhances the reliability of cross-species expression data.
• This approach has broad applicability in both animal and plant research, expanding genomic analysis possibilities.