Glycoproteomic identification of potential biomarkers from plasma of patients with asthma
Autor: | Bi-Lian Chiou, 邱碧蓮 |
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Rok vydání: | 2013 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 101 Asthma is a common chronic respiratory disease that leads to wheezing, breathlessness, chest tightness and coughing. Asthma is a problem worldwide, with estimated about 300 million affected individuals, and the prevalence is increasing year by year. Asthma is a lifelong disease, an increasing number of patients with asthma caused personal and family distress, and more medical resources on the treatment of asthma and other social costs associated with a heavy burden. Protein glycosylation is currently known as one of the post-translational modifications, involved in a large number of biological functions, and played an important role in biomarker studies. In the current study, we used glycoproteomic approaches for the identification of potential disease biomarkers from plasma of patients with asthma. We purified glycoproteins in plasma obtained from asthma and non-asthma patients based on concanavalin A (Con A) -affinity method. With this treatment, a large number of high-abundance non-glycosylated proteins could be removed. Two-dimensional electrophoresis and image analysis revealed five protein spots with significantly different expression levels between asthma and non-asthma patients. These protein spots have been in-gel digested and subject to LC-ESI-Q-TOF MS/MS and Mascot program analysis. Protein identified are Ig gamma-1 chain, β-2-glycoprotein1, haptoglobin, dermcidin, complement C3, α-2-macroglobulin, hemoglobin subunit β and δ. Western blot analysis were performed to validate the proteomic results, the marking based on the three criteria, The first, the film has a consistent trend;second, the related protein associated with asthma amount of literature. Finally, the specificity of the disease for screening, Alpha-2-macroglobulin are asthma-associated plasma protein. These potential biomarkers may be developed as promising diagnostic indicators for the early detection of the disease or development of novel drugs or providing treatment. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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