Selection of optimal reference genes for normalization in quantitative RT-PCR

BMC Bioinformatics

Table 7 Neuroblastoma data: Variability of log geometric means based on optimal gene subsets identified by various methods

Set Size	Method	Optimal set	Variance logGM	Std Dev logGM
2	Vand	GAPDH, HPRT	0.327	0.572
2	Szabo	GAPDH, SDHA	0.374	0.612
2	New	GAPDH, YWHAZ	0.250	0.500
3	Old¹	GAPDH, HPRT, SDHA	0.348	0.590
3	New	ACTB, GAPDH, YWHAZ	0.255	0.505
4	Old¹	GAPDH, HPRT, SDHA, UBC	0.361	0.601
4	New	ACTB, B2M, GAPDH, TBP	0.231	0.480
5	Old¹	GAPDH, HPRT, SDHA, UBC, HMBS	0.358	0.598
5	New	ACTB, B2M, GAPDH, HPRT1, RPL13A	0.224	0.473
6	Old¹	GAPDH, HPRT, SDHA, UBC, HMBS, YWHAZ	0.319	0.565
6	New	ACTB, GAPDH, B2M, HPRT1, TBP, YWHAZ	0.227	0.477

¹Same results using either the method of Vandesompele et al [4] or Szabo et al [9]

ISSN: 1471-2105