Complementary gene and protein expression studies and integrative approaches in toxicogenomics

Area of Science:

• Biomolecular Sciences
• Toxicology
• Genomics and Proteomics

Background:

• Transcript and protein profiling provide complementary data for understanding disease and toxicity.
• Different -Omics technologies offer unique insights but are most powerful when integrated.
• Current research often analyzes transcriptomics and proteomics separately, limiting comprehensive understanding.

Purpose of the Study:

• To review the application of parallel transcript and protein profiling across various studies.
• To identify commonalities and differences in -Omics platforms, profiled subjects, and detected expression products.
• To propose an integrated strategy for toxicant expression profiling.

Main Methods:

• Systematic review of over twenty studies utilizing -Omics platforms.
• Analysis of data including chemical or disease context, tissue types, and number of genes/proteins identified.
• Comparison of common expression products between transcriptomic and proteomic analyses.

Main Results:

• Identified diverse applications of -Omics platforms in toxicity and disease research.
• Highlighted the complementary nature of transcriptomic and proteomic data.
• Observed variations in the scope and depth of profiling across studies.

Conclusions:

• Integrating transcriptomics and proteomics enhances the characterization of toxicity mechanisms.
• A proposed strategy combines target tissue and blood/serum profiling for a holistic view.
• This integrated approach can synergize expression technologies for effective biomarker discovery.