proteomic-profiling-of-macrophages-by-2d-electrophoresis

Proteomic Profiling of Macrophages by 2D Electrophoresis

The goal of the two-dimensional (2D) electrophoresis protocol described here is to show how to analyse the phenotype of human cultured macrophages. The ...

University Lille Nord de France

Abdominal aortic aneurysm (AAA) is characterized by increased aortic vessel wall diameter (>1.5 times normal) and loss of parallelism. This disease is responsible for 1-4% mortality occurring on rupture in males older than 65 years. Due to its asymptomatic nature, proteomic techniques were used to search for diagnostic biomarkers that might allow surgical intervention under nonlife threatening conditions.

Quantitative mass spectrometry analysis using PAcIFIC for the identification of plasma diagnostic biomarkers for abdominal aortic aneurysm.

Abdominal aortic aneurysms (AAAs), dilations of the infrarenal aorta, are characterized by inflammation and oxidative stress. We previously showed increased levels of peroxiredoxin-1 (PRDX-1) in macrophages cultured from AAA patients. The purpose of the study was to determine which subpopulation of macrophages is present in AAAs and is involved in upregulation of PRDX-1 in aneurysmal disease.

Role of proinflammatory CD68(+) mannose receptor(-) macrophages in peroxiredoxin-1 expression and in abdominal aortic aneurysms in humans.

In this study, we developed a novel computational approach based on protein-protein interaction networks to identify a list of proteins that might have remained undetected in differential proteomic profiling experiments. We tested our computational approach on two sets of human smooth muscle cell protein extracts that were affected differently by DNase I treatment. Differential proteomic analysis by saturation DIGE resulted in the identification of 41 human proteins. The application of our approach to these 41 input proteins consisted of four steps: (i) Compilation of a human protein-protein interaction network from public databases; (ii) calculation of interaction scores based on functional similarity; (iii) determination of a set of candidate proteins that are needed to efficiently and confidently connect the 41 input proteins; and (iv) ranking of the resulting 25 candidate proteins. Two of the three highest-ranked proteins, beta-arrestin 1, and beta-arrestin 2, were experimentally tested, revealing that their abundance levels in human smooth muscle cell samples were indeed affected by DNase I treatment. These proteins had not been detected during the experimental proteomic analysis. Our study suggests that our computational approach may represent a simple, universal, and cost-effective means to identify additional proteins that remain elusive for current 2D gel-based proteomic profiling techniques.

Identification of additional proteins in differential proteomics using protein interaction networks.

Precise and accurate quantification of proteins is essential in clinical laboratories. Here, we present a mass spectrometry (MS)-based method for the quantification of intact proteins in an ion trap mass spectrometer. The developed method is based on the isolation and detection of precursor ions for the quantification of the corresponding signals. The method was applied for the quantification of hemoglobin (Hb) A2, a marker used for the diagnosis of a β-thalassemia trait. The α and δ globin chains, corresponding to total Hb and HbA2, respectively, were isolated in the ion trap at specific charge states and ejected without activation. Areas of the corresponding isolated precursor ions were used to calculate the δ to α ratio. Three series of quantifications were performed on 7 different days. The standard curve fitted linearly (R(2) = 0.9982) and allowed quantification of HbA2 over a concentration range from 3% to 18% of total Hb. Analytical imprecision ranged from 3.5% to 5.3%, which is enough to determine if the HbA2 level is below 3.5% or above 3.7%. In conclusion, our method reaches precision requirements that would be acceptable for the quantitative measurement of diagnostic proteins, such as HbA2, in clinical laboratories.

Adelina E. Acosta-Martin

Inserm UMR744

University Lille Nord de France

Proteomic Profiling of Macrophages by 2D Electrophoresis

Adelina E. Acosta-Martin

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University Lille Nord de France

Proteomic Profiling of Macrophages by 2D Electrophoresis

Inserm UMR744