Proteomic toolbox for autoimmunity research

Tianfu Wu; Chandra Mohan

doi:10.1016/j.autrev.2009.01.019

Proteomic toolbox for autoimmunity research

Tianfu Wu, Chandra Mohan

Research output: Contribution to journal › Review article › peer-review

29 Scopus citations

Abstract

Autoimmune diseases are genetically complex and poorly understood, and may lead to clinically severe consequences including end-organ damage. Given this scenario, early biomarker discovery is becoming increasingly important for early diagnosis and treatment in these diseases. Among the different approaches tried, the application of proteomic analysis of body fluids has great potential as a non-invasive tool for early diagnosis in many different disease settings. During the past 10 years, proteomics-based approaches have made steady inroads into the study of various autoimmune diseases. In this review, we summarize the highlights of various traditional as well as novel proteomic methods, including 2D-MS/MS, multi-dimensional HPLC-MS/MS, CE-MS/MS, SELDI-TOF-MS/MS, iTRAQ and a variety of targeted antibody-based protein arrays, which have been particularly informative in the field of autoimmunity.

Original language	English (US)
Pages (from-to)	595-598
Number of pages	4
Journal	Autoimmunity Reviews
Volume	8
Issue number	7
DOIs	https://doi.org/10.1016/j.autrev.2009.01.019
State	Published - Jun 1 2009

Keywords

Autoimmunity
Lupus
Protein microarray
Rheumatoid arthritis

ASJC Scopus subject areas

Immunology
Immunology and Allergy

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10.1016/j.autrev.2009.01.019

Cite this

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abstract = "Autoimmune diseases are genetically complex and poorly understood, and may lead to clinically severe consequences including end-organ damage. Given this scenario, early biomarker discovery is becoming increasingly important for early diagnosis and treatment in these diseases. Among the different approaches tried, the application of proteomic analysis of body fluids has great potential as a non-invasive tool for early diagnosis in many different disease settings. During the past 10 years, proteomics-based approaches have made steady inroads into the study of various autoimmune diseases. In this review, we summarize the highlights of various traditional as well as novel proteomic methods, including 2D-MS/MS, multi-dimensional HPLC-MS/MS, CE-MS/MS, SELDI-TOF-MS/MS, iTRAQ and a variety of targeted antibody-based protein arrays, which have been particularly informative in the field of autoimmunity.",

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AB - Autoimmune diseases are genetically complex and poorly understood, and may lead to clinically severe consequences including end-organ damage. Given this scenario, early biomarker discovery is becoming increasingly important for early diagnosis and treatment in these diseases. Among the different approaches tried, the application of proteomic analysis of body fluids has great potential as a non-invasive tool for early diagnosis in many different disease settings. During the past 10 years, proteomics-based approaches have made steady inroads into the study of various autoimmune diseases. In this review, we summarize the highlights of various traditional as well as novel proteomic methods, including 2D-MS/MS, multi-dimensional HPLC-MS/MS, CE-MS/MS, SELDI-TOF-MS/MS, iTRAQ and a variety of targeted antibody-based protein arrays, which have been particularly informative in the field of autoimmunity.

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KW - Rheumatoid arthritis

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Proteomic toolbox for autoimmunity research

Abstract

Keywords

ASJC Scopus subject areas

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