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Table 1 Linear regression analysis to determine which methyl-sensitive restriction enzymes were effective in CpGlobal.

From: A high-throughput and sensitive method to measure Global DNA Methylation: Application in Lung Cancer

Enzyme

Theoretical Regression

Actual Regression

Adjusted R Square

Standard Error

F significance

AciI

y = 1.57-1.57x

y = 0.45-0.46x

0.86

0.06

1.11E-09

BstUI

y = 0.48-0.48x

y = 0.09-0.11x

0.87

0.01

4.39E-10

HinP1I

y = 0.66-0.66x

y = 0.95-0.89x

0.97

0.05

1.24E-15

HpaII

y = 1.00-1.00x

y = 0.94-0.95x

0.96

0.06

4.46E-15

HpyCH4IV

y = 0.44-0.44x

y = 0.74-0.73x

0.97

0.04

7.67E-17

  1. Theoretical regression formulas were calculated based on the number of recognition sites in lambda DNA for each of the methyl-sensitive restriction enzymes-AciI: 516, BstUI: 157, HinP1I: 215, HpaII and the isoschizomer MspI: 328, and HpyCH4IV: 143. The Actual regression formulae were calculated based on the regression analysis using the theoretical methylation level as a predictor for the results from CpGlobal.