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

BMC Molecular Biology

Table 5 Ranking of genes based on ML-mixed model 3, NormFinder and geNorm approaches.

Ranking position	gene	ML-Mixed model 3	gene	NormFinder	gene	geNorm
best pair	RPS26/SDHA	0.0005	RPS26/YWHAB	0.008	ACTB/RPL13A	0.294
1	RPS18	0.0007	RPS18	0.013	YWHAB	0.782
2	RPS26	0.0009	B2M	0.022	RPS18	0.790
3	SDHA	0.0011	YWHAZ	0.024	ACTB	0.796
4	B2M	0.0015	SDHA	0.026	SDHA	0.797
5	ACTB	0.0017	YWHAB	0.029	B2M	0.815
6	MDH1	0.0019	RPS26	0.030	YWHAZ	0.833
7	YWHAZ	0.0020	ACTB	0.035	RPL13A	0.839
8	LOC780524	0.0027	CYP1A1	0.037	RPS26	0.847
9	GAPDH	0.0030	GAPDH	0.039	GAPDH	0.882
10	YWHAB	0.0033	RPL13A	0.043	RPLP0	0.899
11	RPLP0	0.0038	MDH1	0.048	LOC780524	1.085
12	RPL19	0.0039	ACACA	0.057	MDH1	1.119
13	ATP5G2	0.0057	RPLP0	0.058	RPL19	1.140
14	CYP1A1	0.0063	LOC780524	0.061	CYP1A1	1.170
15	ACACA	0.0069	RPL19	0.072	ATP5G2	1.308
16	RPL13A	0.0078	ATP5G2	0.077	ACACA	1.568

ISSN: 1471-2199