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Qualification Panels for West Nile Virus RNA Tests Mark Manak, Ph.D. Boston Biomedica, Inc. West Bridgewater, MA SoGAT Langen, Germany July 3, 2003.

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Presentation on theme: "Qualification Panels for West Nile Virus RNA Tests Mark Manak, Ph.D. Boston Biomedica, Inc. West Bridgewater, MA SoGAT Langen, Germany July 3, 2003."— Presentation transcript:

1 Qualification Panels for West Nile Virus RNA Tests Mark Manak, Ph.D. Boston Biomedica, Inc. West Bridgewater, MA SoGAT Langen, Germany July 3, 2003

2 WNV Controls/Panels Panel/Controls Design Designed to closely mimic a true serum sample Cultured Virus from an infected individual Heat Treated Diluted in Defibrinated Plasma (Basematrix ) Panel/Controls Uses Method optimization and comparison Standardization of WNV RNA concentration Useful for quantitation Monitoring assay performance

3 West Nile Virus Qualification Panels QWN702 - WNV Lineage 1, NY 1999 (flamingo CDC) QWN701 - WNV Lineage 2, Uganda 1937 15 Member Panel 2 10,000 copies/ml 3 100 copies/ml 2 1,000 copies/ml 3 30 copies/ml 2 300 copies/ml 3 Negative Randomly Assorted Semi blinded

4 WNV Run Control: Accurun 365 Accurun 365 WNV Positive Run Control Manufactured from cultured West Nile Virus* Target level of 300 copies/ml Ideally suited to monitor assay precision Validation of analytical runs Run Control for Blood Screening Assays Accurun 865 WNV Negative Run Control * NY99 isolate, Lineage 2

5 RT-PCR Quantitative WNV Assay Specific Primers for WNV 5’UTR: Detects all known isolates of WNV Env: Lineage 1 only, more sensitive Closed-tube, Real-time fluorescent assay Quantified with TaqMan probe Broad linear dynamic range Between 300 – 10,000,000 copies/ml Ultrasensitive assay Sensitivity to 30 copies/ml

6 WNV RNA Standards-RNA Transcripts

7 WNV RNA Quantitation Standard Ultra 1,000 300 10,000 1,000 30 300 100 Copies/ml 30 Neg.

8 Reproducibility of Ultrasensitive Assay 100 30 Ave. Ct 32.2 35.0 STD 0.43 0.8 %CV 1.35 2.3 (n = 12)

9 QWN702 Panel Quantitation Panel MemberTarget 5’-LTR 140uL Env Primer 140uL Env CDC BBI Ultra Assay Ct QWN 701. 0310,00033.3629.2429.2526.32 QWN 701. 1210,00033.4329.1029.0526.00 QWN 701. 051,00036.6632.9632.0030.09 QWN 701. 101,00037.3532.7631.5529.91 QWN 701. 0630038.0432.9233.8030.36 QWN 701. 1530037.9434.1233.1030.50 QWN 701. 0110039.4933.2136.0532.69 QWN 701. 0710040.6035.9736.3032.21 QWN 701. 1110040.5035.4336.4032.88 QWN 701. 04305036.1439.1535.47 QWN 701. 093050 45.9034.61 QWN 701. 143050 44.6535.33 QWN 701. 02050 QWN 701. 08050 QWN 701. 13050

10 Comparison of Assays

11 Negative Specimens Material Source of materials No. of samples CtResults Serum American Red Cross 12850Negative Plasma BBI Diagnostics 10050Negative Basematrix BBI Diagnostics 9250Negative

12 WNV Positive Samples Target 10 8 10 7 10 6 10 5 10 4 10 3 Average (Copy/mL) 1.1x10 8 2.0x 10 7 2.1x 10 6 2.1x 10 5 2.9x 10 4 3.4x 10 3 STDEV 2.1x 10 7 5.7x 10 6 6.5x 10 5 3.9x 10 4 2.2x 10 4 2.6x 10 3 CV 19.0%28.5%31.3%18.6%78%76.2% #Samples 81312181410

13 WNV Titers in Avian and Mosquito Tissues Avian Brains Mosquito Pools ID copies/g ID copies/ml ZL02-249 0 SU02-01735 0 ZL02-251 0 SL02-01742 0 ZL02-255 0 SL02-01782 1,360 ZL02-257 0 EM02-04183 0 ZL02-265 0 NF02-07432 155,000 ZL02-754 136,000,000 NF02-07465 559,000 ZL02-755 37,800,000 NF02-07483 4,200,000 ZL02-756 52,200,000 SU02-10395 0 ZL02-760 10,400,000 SU02-10402 0 ZL02-761 190,000,000 SU02-10466 465,000

14 BBI WNV Panel and Controls BBI Panels and Controls –ACCURUN WNV RNA Positive Control A365 (NY99 Strain) –ACCURUN WNV RNA Negative Control A865 –QWN702 WNV Qualification Panel (Lineage 1) (NY99 Strain) –QWN701 WNV Qualification Panel (Lineage 2) (Uganda Strain) –WNV Characterized Samples (US Source ) Panels and controls Uses –Assay Development –Comparison/standardization of Assays –Training of Laboratory Personnel –Assay Validation –Monitoring Assay Performance

15 Acknowledgements Boston Biomedica Inc. Alan Doty Barbara Weiblen Harmesh Sharma American Red Cross Chyang Fang, Ph.D. MA State Health Depart. Barbara Werner, Ph.D. FDA Maria Rios, Ph.D. CDC Robert Lanciotti, Ph.D. BBI Biotech Xiuli Chen, Ph.D. Jienli Wu Ron Meixell


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