An Always Correlated gene expression landscape for ovine skeletal muscle, lessons learnt from comparison with an “equivalent” bovine landscape

Table 1 Sources of gene expression data contributing to the analysis groups

Analysis group	Time points¹	Number of arrays²	Number of genes in network
Callipyge	80d³, 100d, 120d, T0⁴, P10d⁵, P20d, P30d, T12	16	4,176
Normal	80d, 100d, 120d, T0, P10d, P20d, P30d, T12	19	3,732
Prenatal (Callipyge and normal)	80d, 100d, 120d,	15	3,081
Postnatal (Callipyge and normal)	T0, P10d, P20d, P30d, T12	20	3,476
High-Low (high and low muscling phenotypes)	T78	40	3,462
Overall	80d, 100d, 120d, T0, P10d, P20d, P30d, T12, T78	75	17,308
AC landscape	intersection of above networks		1,661

¹Data for 80d, 100d, 120d normal is from Byrne et al., 2010 [4], data for T0 and T12 is from Vuocolo et al., 2007 [5], data for 10d, 20d and 30d is from Fleming-Waddell et al., 2007 [6] and data from T78 is from Kogelman et al., [7].
²Each array was from a separate individual.
³Days post conception.
⁴Weeks post natal.
⁵Days post natal.

ISSN: 1756-0500