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Multiplexed protein array platforms for analysis of autoimmune diseases.
Imelda Balboni1, Steven M Chan, Michael Kattah
1Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, California 94305, USA.
Annual Review of Immunology
|March 23, 2006
Summary
Proteomics technologies offer new ways to study autoimmune diseases by analyzing autoantibodies and cytokines. Advances in biomedical informatics will help decipher the human proteome for better understanding of these conditions.
Area of Science:
- Proteomics
- Immunology
- Biomedical Informatics
Background:
- The human genome has been sequenced, but many gaps remain in understanding its functions.
- Proteomics platforms have emerged to bridge these knowledge gaps.
- Autoimmune diseases require advanced study methods to understand their complex mechanisms.
Purpose of the Study:
- To review applications of proteomics technologies in the study of autoimmune diseases.
- To focus on biased technology platforms for analyzing known analytes.
- To highlight discoveries and limitations in current proteomics approaches for autoimmunity.
Main Methods:
- Review of biased proteomics technology platforms.
- Analysis of key analytes in autoimmunity: autoantibodies, cytokines, chemokines, signaling pathways, and cell-surface receptors.
- Comparison with unbiased approaches like 2D gel electrophoresis and mass spectrometry.
Main Results:
- Several proteomics platforms are suitable for studying autoimmune diseases.
- Biased platforms efficiently analyze specific analytes relevant to autoimmunity.
- Key discoveries and existing limitations of these platforms are identified.
Conclusions:
- Proteomics offers powerful tools for autoimmune disease research.
- Advances in biomedical informatics are crucial for interpreting proteomic data.
- Future work will focus on deciphering the human proteome for comprehensive disease understanding.