BMC Biotechnology

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Open Access Highly Access Methodology article

Optimization and analysis of a quantitative real-time PCR-based technique to determine microRNA expression in formalin-fixed paraffin-embedded samples

Rashmi S Goswami1,2, Levi Waldron3,4, Jerry Machado1,2, Nilva K Cervigne1, Wei Xu5, Patricia P Reis1, Denis J Bailey2,6, Igor Jurisica3,7,8, Michael R Crump9 and Suzanne Kamel-Reid1,2,6,8*

Author Affiliations

1 Division of Applied Molecular Oncology, Ontario Cancer Institute, University Health Network, Toronto, ON, Canada

2 Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada

3 Division of Signaling Biology, Ontario Cancer Institute

4 Campbell Family Institute for Cancer Research, University Health Network, Toronto, ON, Canada

5 Department of Biostatistics, Princess Margaret Hospital, University Health Network, Toronto, ON, Canada

6 Department of Pathology, Toronto General Hospital, University Health Network, Toronto, ON, Canada

7 Department of Computer Science, University of Toronto, Toronto, ON, Canada

8 Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada

9 Division of Medical Oncology, Princess Margaret Hospital, University Health Network, Toronto, ON, Canada

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BMC Biotechnology 2010, 10:47 doi:10.1186/1472-6750-10-47

Published: 23 June 2010

Additional files

Additional file 1:

Figure S1. Absolute value of the difference between duplicate measurements as a function of the duplicate mean for all input RNA concentrations. Measurements where at least one of the duplicate Ct values equals 40 are removed. The red line shows a cubic spline fit using default settings for the smooth spline function in the R statistics package (R Development Core Team, 2008). The apparent decrease in variability for mean Ct>37 is an artifact caused by the absence of Ct values greater or equal to 40.

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Additional file 2:

Figure S2. A) Graph of average percentage of well failures according to input RNA concentrations. Note that cDNA dilution factors were kept constant (15×). B) Percentage of well failures as they relate to input RNA concentration and cDNA dilution factor. cDNA dilution factors are shown on the x-axis and percentage of well failures are shown on the y-axis.

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Additional file 3:

Table S1. Table of Pearson correlation coefficients between equivalent input RNA concentration/cDNA dilution factor combinations (equivalent samples).

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Additional file 4:

Table S2. Table depicting number of miRs in each abundance stratum for equivalent dilutions. No significant difference exists in the abundance distributions of the columns by chi-square analysis (χ2 = 3.3, df = 6, p = 0.77).

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