The effects of protein interactions, gene essentiality and regulatory regions on expression variation

BMC Systems Biology

Table 1 The relationship between gene expression variation and the number of cis-elements.

Cis-elements are identified with binding p < 0.0001 and conservation in at least 2 other yeast species
Gene expression data-set	Linear regression		R²
	β	p value
Ca_Na exposure	0.0589	1.17e-06	1.25%
Chemostat	0.0188	0.0067	0.39%
Environmental Stress	0.0507	5.48e-07	1.33%
Oxidative Stress	0.0025	0.725	0.01%
Cis-elements are identified with binding p < 0.0001 and conservation in at least 1 other yeast
Gene expression data-set	Linear regression		R²
	β	p value
Ca_Na exposure	0.0539	4.45e-08	1.33%
Chemostat	0.0161	0.0046	0.36%
Environmental Stress	0.0516	3.56e-10	1.74%
Oxidative Stress	0.0013	0.826	0
Cis-elements are identified with binding p < 0.0001 and no Conservation Criteria
Gene expression data-set	Linear regression		R²
	β	p value
Ca_Na exposure	0.0393	1.05e-07	1.02%
Chemostat	0.0151	0.0004	0.45%
Environmental Stress	0.0346	1.68e-08	1.15%
Oxidative Stress	0.0028	0.526	0.01%

Cis-elements are identified with three different criteria according to their conservation in two other species. β is the linear coefficient in the linear model, the p-value is related to the null hypothesis that β ≠ 0 versus β = 0, and the R² is the fraction of variation explained by the number of cis-elements.

ISSN: 1752-0509