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Blood, Vol. 108, Issue 1, 218-227, July 1, 2006
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Hepatocyte growth factor favors monocyte differentiation into regulatory interleukin (IL)-10++IL-12low/neg accessory cells with dendritic-cell features
Blood Rutella et al. 108: 218

Supplemental materials for: Rutella et al

Supplemental Methods

Real-Time PCR

Kinetic PCR for each gene of interest was performed on a LightCycler™ (Roche Diagnostics) by using SYBR® Green I as a double-strand DNA-specific binding dye and continuous fluorescence monitoring.26 Amplification was carried out in a total volume of 20 µl containing 0.5 µM of each primer, 10 µl 2× QuantiTect SYBR Green PCR Master Mix (Qiagen, Milan, Italy) and 1 µl of diluted cDNA prepared as above described. The PCR reactions were cycled 55 times after initial denaturation at 95°C for 15 minutes with the following parameters: denaturation (95°C, 15s); annealing (55°C, 25s); and extension (72°C, 15s) with temperature transition rate of 20°C/s. Fluorescence was acquired at the end of annealing step. Melting curve analysis of amplification products was performed at the end of each PCR reaction by cooling the samples to 45°C and then increasing the temperature to 95°C at 0.1°C/s. Fluorescence was acquired every 0.1s.

Control reaction for product identification consisted of: (i) analysing the melting peaks; and (ii) determining the length of the PCR products (bp). The latter reaction was performed after completing the PCR reaction on the LightCycler system and centrifuging the content of the glass capillaries in a plastic tube at 200g. Twenty µl of each PCR product were visualized after agarose gel electrophoresis and ethidium bromide staining.

To characterize the range of process efficiency linearity and construct the standard curves of crossing-point (Cp) values of the target sequence and reference sequence for the relative quantification, 4× serial dilution of cDNA prepared by 1µg of RNA extracted from CD4+CD25 T cells from 3 healthy controls were tested in triplicate. Each dilution from the standard curve was analysed with the LigthCycler PCR using primer sets for -actin (reference) and CCL1, CCL2 CXCL1 and INDO (target) cDNA. For each set of primers, a Cp cycle number was determined for each dilution of the standard curve. Linear regression analysis of the logarithm of the dilution factor vs. the crossing point cycle number generated a standard curve for each transcript-specific primer set. From each primer set’s standard curve, a Cp cycle number could be converted into a relative amount of cDNA. PCR efficiency was calculated, from each linear regression, using the equation 101/slope — 1 × 100.

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