Table 3.

Correlation and linear regression slopes between protein and transcript level changes for KEGG pathways for AFB₁-, OTA- and ZEN-treated samples.

KEGG pathways	AFB1		OTA		ZEN		Datasize No.gene
	rho	slope	rho	slope	rho	slope
Carbohydrate metabolism	0.332	0.104	0.51	0.155			69
Energy metabolism			0.44	0.147	0.672	0.293	37
Lipid metabolism	0.486	0.171	0.45	0.152	0.359	0.114	77
Nucleotide metabolism	0.391	0.119	0.66	0.174			51
Amino acid metabolism	0.407	0.13	0.63	0.181	0.478	0.144	60
Glycan biosynthesis and metabolism	0.395	0.122	0.41	0.12	0.495	0.178	57
Metabolism of cofactors and vitamins			0.52	0.152			35
Transcription			0.51	0.149			48
Translation			0.48	0.131	0.339	0.149	100
Folding, sorting and degradation			0.66	0.209	0.526	0.222	111
Replication and repair	0.474	0.176	0.73	0.29	0.464	0.222	25
Membrane transport	0.926	0.221	0.9	0.468			11
Signal transduction	0.325	0.141	0.7	0.259	0.412	0.185	186
Signaling molecules and interaction			0.57	0.203	0.462	0.177	137
Transport and catabolism	0.388	0.134	0.65	0.241			126
Cell growth and death	0.497	0.221	0.81	0.326	0.602	0.238	65
Cellular community - eukaryotes	0.42	0.12	0.49	0.169			108
Cell motility			0.66	0.307			42
Immune system	0.412	0.144	0.76	0.272	0.515	0.271	60
Endocrine system			0.7	0.211	0.276	0.109	103
Circulatory system	0.572	0.226	0.57	0.148			44

We only present pathways with data sizes (number of genes) larger than 10, correlation values above 0.3 and p value less than 0.01. Slopes greater than 0.2 are defined as high protein/mRNA changes and formatted with bold font.