Detection of Cystic Fibrosis Serological Biomarkers Using a T7 Phage Display Library
Autor: | Samer Hanoudi, Dana G. Kissner, Sorin Draghici, Lobelia Samavati, Andreea Geamanu, Harvinder Talwar |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Adult
Male 0301 basic medicine Cystic Fibrosis Sarcoidosis lcsh:Medicine Sensitivity and Specificity Cystic fibrosis Article 03 medical and health sciences 0302 clinical medicine Antigen Peptide Library Bacteriophage T7 medicine Humans Lung cancer lcsh:Science Gene Library Multidisciplinary Lung medicine.diagnostic_test Receiver operating characteristic biology business.industry cDNA library lcsh:R Bayes Theorem Middle Aged medicine.disease Cystic fibrosis transmembrane conductance regulator High-Throughput Screening Assays 3. Good health 030104 developmental biology Bronchoalveolar lavage medicine.anatomical_structure ROC Curve 030228 respiratory system Immunology biology.protein Female lcsh:Q Cell Surface Display Techniques business Biomarkers |
Zdroj: | Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017) Scientific Reports |
ISSN: | 2045-2322 |
Popis: | Cystic fibrosis (CF) is an autosomal recessive disorder affecting the cystic fibrosis transmembrane conductance regulator (CFTR). CF is characterized by repeated lung infections leading to respiratory failure. Using a high-throughput method, we developed a T7 phage display cDNA library derived from mRNA isolated from bronchoalveolar lavage (BAL) cells and leukocytes of sarcoidosis patients. This library was biopanned to obtain 1070 potential antigens. A microarray platform was constructed and immunoscreened with sera from healthy (n = 49), lung cancer (LC) (n = 31) and CF (n = 31) subjects. We built 1,000 naïve Bayes models on the training sets. We selected the top 20 frequently significant clones ranked with student t-test discriminating CF antigens from healthy controls and LC at a False Discovery Rate (FDR) |
Databáze: | OpenAIRE |
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