Development of a High-Resolution Melting Curve Analysis Screening Test for SRSF2 Splicing Factor Gene Mutations in Myelodysplastic Syndromes Eduardo.

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Development of a High-Resolution Melting Curve Analysis Screening Test for SRSF2 Splicing Factor Gene Mutations in Myelodysplastic Syndromes Eduardo Garza, Emiliano Fabiani, Nelida Noguera, Paola Panetta, Maria L. Piredda, Loredana Borgia, Luca Maurillo, Gianfranco Catalano, Maria T. Voso, Francesco Lo-Coco The Journal of Molecular Diagnostics Volume 17, Issue 1, Pages 85-89 (January 2015) DOI: 10.1016/j.jmoldx.2014.08.002 Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 1 Melting peak analysis. Discrimination of mutated samples from wild-type (WT) was possible by analyzing differences between the melting peaks individually using positive and negative controls as a reference. P95L (A), P95R (B), and P95H (C) mutations have different melting peaks compared with WT mutations. d/dT, negative derivative of the change in fluorescence divided by the change in temperature in relation to the temperature. The Journal of Molecular Diagnostics 2015 17, 85-89DOI: (10.1016/j.jmoldx.2014.08.002) Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 2 A: High-resolution melting curve analysis gene scanning test reveals each mutated group identified according to the positive control used: P95H, P95L, and P95R, respectively. B: Sequencing analysis from positive controls. Arrows indicate the presence of a single point mutation represented as a double spike in the sequencing analysis. The Journal of Molecular Diagnostics 2015 17, 85-89DOI: (10.1016/j.jmoldx.2014.08.002) Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 3 Sensitivity analysis was performed in duplicate using a known mutated DNA sample subjected to serial dilutions: undiluted, 1:1, 1:3, 1:4, and 1:9 with a wild-type sample. A: Normalized and shifted melting curves. B: Normalized and temperature-shifted difference plot. The Journal of Molecular Diagnostics 2015 17, 85-89DOI: (10.1016/j.jmoldx.2014.08.002) Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 4 Gene scanning analysis of P95_ins (3nt) (A) and P95_97del (9nt) (B) mutations reveals abnormal melting pattern compared with a wild-type control. C: Sequencing analysis of the WT control and the insertion/deletion mutations. The Journal of Molecular Diagnostics 2015 17, 85-89DOI: (10.1016/j.jmoldx.2014.08.002) Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 5 Melting peaks and difference plots performed in duplicated reveal distinct characteristic patterns of different P95 mutations. A: Melting peaks ranging from 64°C to 95°C. B: A close-up of the melting peaks reveals each P95 mutation melting peak and the corresponding mutation. C: Difference plot reveals different positive groups corresponding to P95 point mutations, insertion, and deletion compared with the baseline negative wild-type (WT) control. d/dT, negative derivative of the change in fluorescence divided by the change in temperature in relation to the temperature. The Journal of Molecular Diagnostics 2015 17, 85-89DOI: (10.1016/j.jmoldx.2014.08.002) Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions