Process / pipelineBioinformatics / omics

Differential Proteomics Analysis — Comparing Protein Abundance Across Conditions

Differential proteomics analysis is a quantitative pipeline that identifies proteins whose abundance levels change significantly between two or more biological conditions — such as healthy versus diseased tissue, treated versus untreated cells, or different developmental stages. By combining mass spectrometry-based detection with statistical testing, the method generates ranked lists of differentially expressed proteins that can be linked to biological pathways, disease mechanisms, or drug targets.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Ong, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002). Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Molecular & Cellular Proteomics, 1(5), 376–386. DOI: 10.1074/mcp.M200025-MCP200
  2. Bantscheff, M., Lemeer, S., Savitski, M. M., & Kuster, B. (2012). Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present. Analytical and Bioanalytical Chemistry, 404(4), 939–965. DOI: 10.1007/s00216-012-6203-4

Related methods

Referenced by

ScholarGateDifferential proteomics analysis (Differential Proteomics Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/differential-proteomics-analysis