So you want to reconcile proteins with gene expression, here is how we can help
The ProFACT/MGL collaboration targets key challenges in translating clinically relevant data developed from the superabundance of Gene Expression research into biomarkers and ultimately, into new therapies. This has been especially difficult because of the poor correlation between gene expression data and Mass Spec proteomic data. To these ends, the ProFACT/MGL collaboration provides:
- Query-driven rules to prioritize the exploitation of a client-driven gene set (or panel) based on clinical goals, biological significance, costs, and detection methodologies.
- Enrichment strategies that create and exploit proteomic datasets consisting of expression, abundance and function.
- A bioinformatics knowledgebase that collects and references the most practical measureable protein attributes for a client project.