Highly Multiplex Real-Time PCR–Based Screening for Blood-Borne Pathogens on an OpenArray Platform  Elena Grigorenko, Carolyn Fisher, Sunali Patel, Valerie.

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Highly Multiplex Real-Time PCR–Based Screening for Blood-Borne Pathogens on an OpenArray Platform  Elena Grigorenko, Carolyn Fisher, Sunali Patel, Valerie Winkelman, Phillip Williamson, Caren Chancey, Germán Añez, Maria Rios, Victoria Majam, Sanjai Kumar, Robert Duncan  The Journal of Molecular Diagnostics  Volume 19, Issue 4, Pages 549-560 (July 2017) DOI: 10.1016/j.jmoldx.2017.03.004 Copyright © 2017 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 1 The plasma sample pathogen identification decision tree provides a flow diagram of criteria that, when applied in order, lead from the Cq values obtained for each real-time PCR reaction to the identification of the pathogen present, if any, in a plasma sample. This applies when reverse transcription is performed with gene-specific primers and preamplification uses 18 cycles. This decision tree is applied to results from the plasma panel OpenArray. The CT confidence parameter is explained in the Materials and Methods. DENV, dengue virus; WNV, West Nile virus. The Journal of Molecular Diagnostics 2017 19, 549-560DOI: (10.1016/j.jmoldx.2017.03.004) Copyright © 2017 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 2 The whole blood sample pathogen identification decision tree provides a flow diagram of criteria that, when applied in order, lead from the Cq values obtained for each real-time PCR reaction to the identification of the pathogen present, if any, in a blood sample. This applies when gene-specific primers are used in pre-amplification for 14 cycles. This decision tree is applied to results from the whole blood panel OpenArray. LCHAG, Leishmania chagasi; LEI, Leishmania; LINF, Leishmania infantum; LMAG, Leishmania major; LTRO, Leishmania tropica; STAU, Staphylococcus aureus; S. aureus, Staphylococcus aureus; TCF, Trypanosoma cruzi. The Journal of Molecular Diagnostics 2017 19, 549-560DOI: (10.1016/j.jmoldx.2017.03.004) Copyright © 2017 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions