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Proteome analysis of maternal serum samples for trisomy 21 pregnancies using ProteinChip arrays and bioinformatics
Anne Busch1, Susanne Michel, Constance Hoppe
1Core Unit Chip Application (CUCA), Inst. of Human Genetics and Anthropology, Friedrich Schiller University, D-07740 Jena, Germany.
Abstract:
A surface-enhanced laser desorption/ionization time of flight (SELDI-TOF)-based ProteinChip System was used as a tool for rapid discovery and identification of protein patterns in serum that discriminate between trisomy 21 and unaffected pregnancies. We analyzed 24 serum samples from women carrying a trisomy 21 pregnancy and 32 with an unaffected pregnancy, ranging from 10.0 to 14.0 weeks of gestation. The resulting protein profiles were submitted to a clustering algorithm, a rule extraction, a rating, and a rule base construction step. For the generated combined rule base, the specificity and sensitivity for the prediction of a trisomy 21 pregnancy reach 97% and 91%, respectively.
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