Linked Life Data

19393208

Source:http://linkedlifedata.com/resource/pubmed/id/19393208

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2009-6-8
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1873-0183
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
8
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
595-8
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Proteomic toolbox for autoimmunity research.
pubmed:affiliation
The Department of Internal Medicine (Rheumatology), University of Texas Southwestern Medical School, Dallas, TX 75390, USA. Tianfu.wu@utsouthwestern.edu
pubmed:publicationType
Journal Article, Review