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Bio-Rad Experion Protein Analysis Kits User Manual

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10. The data appear in the spreadsheet. Click on cell H1 (Peak Number) and select

Data > Sort to sort the data by peak number.

11. Insert 3 columns between columns I and J, and label them

Mean Conc, Stdev, and

%CV, respectively. Use Excel software to determine the mean, standard deviation, and
%CV for samples 1–12 (Figure 1.11). The %CV for Test 1 using the mouse liver total
RNA sample provided is typically £15%

Fig. 1.11. Excel spreadsheet showing example of calculation of mean, standard deviation, and

%CV.

Expected Performance of Test 1

3

. Based on results obtained using 72 samples at 100 ng/µl.

Measurement

Typical Results

Quantitation reproducibility

%CV £ 15% for 100 ng/µl total RNA

Quantitation of RNA samples with the Experion system offers reproducibility and accuracy that
are comparable to other traditional methods, such as UV spectroscopy. It also offers a level of
sensitivity that is similar to that offered by fluorescent probes, such as the RiboGreen reagent
(Woo and Strong 2006)

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.

If your results do not appear as they do in these examples, refer to the Troubleshooting section
of the Experion RNA analysis kit and Experion system instruction manuals or contact Bio-Rad
technical support. Typically, problems with reproducibility are due to problems with pipetting or
chip loading. For tips on optimizing your results, refer to the Experion Training Video: Chip
Loading and the Essential Practices and Troubleshooting sections of the Experion system
instruction manual.

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For more detailed analyses of the expected performance of the Experion RNA StdSens assay, refer to the following
Bio-Rad tech notes:

Urban et al., Performance comparison of the Experion automated electrophoresis system and a competing automated
system for RNA analysis, Bio-Rad bulletin 5286 (2005)

Woo L and Strong W, RNA Quantitation: A comparative analysis using the Experion automated electrophoresis system,
RiboGreen reagent, and ultraviolet spectroscopy, Bio-Rad bulletin 5420 (2006)

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