Principle
Proteomics studies proteins in cells, tissues and other suitable samples using mass-spectrometry identification and quantification. It adds a functional layer beyond transcriptomics for drug response, disease mechanism and biomarker research.
Applications
- Identify proteins associated with treatments or disease
- Investigate developmental, metabolic or pathogen-related mechanisms
- Integrate transcriptomic and metabolomic evidence of functional changes
Method features
- Combines protein identification with abundance quantification
- Supports assessment of cells, tissues and other suitable samples
- Measurement strategy is selected around targets and sample conditions
Workflow
- 01
Assess samples and prepare proteins
- 02
Digest proteins and choose a suitable measurement strategy
- 03
Measure by mass spectrometry and assess identification and quantification
- 04
Analyze differential proteins, functions and omics associations
This is a workflow overview. Experimental and analytical details depend on sample conditions and research objectives.