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Proteomic characterization of human exhaled breath condensate
被引:36
|作者:
Lacombe, Maud
[1
,2
,3
]
Marie-Desvergne, Caroline
[1
,4
]
Combes, Florence
[1
,2
,3
]
Kraut, Alexandra
[1
,2
,3
]
Bruley, Christophe
[1
,2
,3
]
Vandenbrouck, Yves
[1
,2
,3
]
Mossuz, Veronique Chamel
[1
,4
]
Coute, Yohann
[1
,2
,3
]
Brun, Virginie
[1
,2
,3
]
机构:
[1] Univ Grenoble Alpes, F-38000 Grenoble, France
[2] CEA Grenoble, BIG, Biol Grande Echelle, F-38054 Grenoble, France
[3] INSERM, Unite 1038, F-38054 Grenoble, France
[4] CEA Grenoble, NanoSafety Platform, Med Biol Lab, F-38054 Grenoble, France
关键词:
exhaled breath condensate;
proteomics;
mass spectrometry;
MASS-SPECTROMETRY;
POTENTIAL BIOMARKERS;
HUMAN PROTEINS;
COPD PATIENTS;
QUANTIFICATION;
PARTICLES;
DIAGNOSIS;
CANCER;
D O I:
10.1088/1752-7163/aa9e71
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
To improve biomedical knowledge and to support biomarker discovery studies, it is essential to establish comprehensive proteome maps for human tissues and biofluids, and to make them publicly accessible. In this study, we performed an in-depth proteomics characterization of exhaled breath condensate (EBC), a sample obtained non-invasively by condensation of exhaled air that contains submicron droplets of airway lining fluid. Two pooled samples of EBC, each obtained from 10 healthy donors, were processed using a straightforward protocol based on sample lyophilization, in-gel digestion and liquid chromatography tandem-mass spectrometry analysis. Two 'technical' control samples were processed in parallel to the pooled samples to correct for exogenous protein contamination. Atotal of 229 unique proteins were identified in EBC among which 153 proteins were detected in both EBC pooled samples. A detailed bioinformatics analysis of these 153 proteins showed that most of the proteins identified corresponded to proteins secreted in the respiratory tract (lung, bronchi). Eight proteins were salivary proteins. Our dataset is described and has been made accessible through the ProteomeXchange database (dataset identifier: PXD007591) and is expected to be useful for future MS-based biomarker studies using EBC as the diagnostic specimen.
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