Use of Maximum Likelihood-Mixed Models to select stable reference genes: a case of heat stress response in sheep

BMC Molecular Biology

Table 4 Estimates of bias, variances and MSE of candidate reference genes obtained by fitting ML-mixed model 3

Gene		Variance	Variance	MSE	MSE	MSE
	Bias	Control	Heat stress	Control	Heat stress	max
RPS18	0.00652	0.00063	0.00002	0.00067	0.00006	0.00067
RPS26	0.01708	0.00059	0.00006	0.00088	0.00035	0.00088
SDHA	-0.01632	0.00006	0.00087	0.00033	0.00114	0.00114
B2M	0.00753	0.00008	0.00143	0.00014	0.00148	0.00148
ACTB	-0.02230	0.00118	0.00002	0.00168	0.00052	0.00168
MDH1	0.03549	0.00065	0.00009	0.00191	0.00135	0.00191
YWHAZ	-0.01932	0.00158	0.00069	0.00196	0.00106	0.00196
LOC780524	0.04607	0.00060	0.00007	0.00272	0.00219	0.00272
GAPDH	-0.02412	0.00243	0.00002	0.00302	0.00060	0.00302
YWHAB	-0.04385	0.00010	0.00139	0.00203	0.00331	0.00331
RPLP0	-0.01210	0.00009	0.00362	0.00023	0.00377	0.00377
RPL19	0.05618	0.00002	0.00073	0.00318	0.00389	0.00389
ATP5G2	0.06370	0.00163	0.00004	0.00569	0.00410	0.00569
CYP1A1	-0.02738	0.00188	0.00553	0.00263	0.00628	0.00628
ACACA	-0.02782	0.00613	0.00409	0.00691	0.00486	0.00691
RPL13A	-0.03935	0.00005	0.00628	0.00160	0.00783	0.00783

Bias of the control samples. Estimates of bias of the heat-stress samples were the same as for control but with opposite sign.

ISSN: 1471-2199