Table 3

Summary of statistics measuring stability of gene expression

GENE

MEANa

Fb

MSE-ANOVAc

CV (%)d

SLOPEe

INTERCEPT

R2

MS-REGf

STABILITY INDEXg


UBQ

15.8

1.42

0.53

3.4

0.11

15.3

0.56

0.49

0.37

TUA

28.9

1.33

1.56

5.4

0.10

28.7

0.28

1.65

0.54

18S

14.0

4.72**

0.58

4.1

0.20

13.2

0.52

0.38

0.83

ACT2

17.3

1.29

1.25

7.2

0.16

16.6

0.57

1.14

1.16

UBQ-L

19.8

1.97

1.57

7.9

0.17

19.1

0.35

1.62

1.35

EF1β

25.1

3.76**

1.87

7.5

0.28

23.8

0.6

1.41

2.09

TUB

17.7

4.45*

2.7

15.3

0.37

16

0.63

1.92

5.64

ACT11

22.8

1.01

5.71

25.0

0.24

21.7

0.37

5.29

6.01

EIF4B-L

20.6

11.44**

3.22

15.6

0.52

18.2

0.68

1.79

8.13

CYP

19.2

7.35**

5.14

26.8

0.67

16.2

0.84

2.66

17.94


aData based on analysis of CT values. Genes are ordered, top to bottom, from those tending to show the highest stability to those showing the lowest, based on the stability index. bApproximate F-tests of variance among tissue samples tested. *, P < 0.05; **, P < 0.01. Degrees of freedom for numerator were 7 and for denominator were 40, except for 18S RNA where they were 7 and 16, respectively. cMSE-ANOVA represents variance among experiments and RT-PCR reactions within experiments. 18S amplification was only included in one experiment; thus, MSE-ANOVA for 18S only represents within experiment variance. dCoefficient of variation (MSE divided by mean multiplied by 100). eSlope of regression of gene means (over experiments and samples within experiments) against overall means for the different samples. Intercepts and coefficient of determination (R2) are also given for the estimated regression lines. fMean square of deviation of means from estimated regression line (MS-reg), which estimates the degree to which genes deviate from the linear model in their level of mean expression for a particular tissue sample. gStability index is the product of CV and slope (multiplication of columns 4 and 5). Genes whose expression shows the lowest random variation within tissue samples due to variation among experiments or PCR reactions (MSE-ANOVA), and whose expression depends least in a predictable way on tissue sample (slope), are preferred as controls.

Brunner et al. BMC Plant Biology 2004 4:14   doi:10.1186/1471-2229-4-14

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