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A comparison of mechanistic signaling pathway activity analysis methods
Alicia Amadoz1, Marta R Hidalgo2, Cankut Çubuk2
1Department of Bioinformatics, Igenomix S.L., 46980 Valencia, Spain.
Briefings in Bioinformatics
|June 6, 2018
Summary
Mechanistic pathway activity (MPA) methods offer a new way to understand cell function in disease and drug action. These approaches translate genomic data into quantitative cell activity values for precision medicine applications.
Area of Science:
- Systems Biology
- Genomics
- Pharmacology
Background:
- Precision medicine faces challenges in linking cell functionality to disease mechanisms and drug actions.
- Traditional gene-based and pathway enrichment methods have limitations in capturing complex biological systems.
Purpose of the Study:
- To review emerging Mechanistic Pathway Activity (MPA) methods.
- To highlight the contribution of MPA methods to systems medicine for complex diseases.
Main Methods:
- Focus shifts from whole pathways to elementary, mechanistically significant subpathways.
- MPA methods quantify cell activity from genomic measurements.
- Relating quantitative cell activity to phenotypes.
Main Results:
- MPA methods provide a new paradigm for analyzing biological data.
- These methods enable recoding of genomic data into meaningful cell activity values.
- MPA facilitates a deeper understanding of disease mechanisms and drug modes of action.
Conclusions:
- MPA methods represent a significant advancement in systems medicine.
- They offer practical utility for diagnostics and treatment strategies in complex diseases.
- This approach enhances the potential of precision medicine.
Keywords:
disease mechanismmathematical modelsnetworkssignaling pathwayssystems biologytranscriptomicsMore Related Videos
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