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

Table 5 Assignment of Transcription Factors to robust modules

Module	TFs in a module in the AC and identified by “Module-to-Regulator” analysis	TFs in a module in the AC landscape only	Top 10 TFs identified by the “Module-to-Regulator” analysis only¹
Muscle	none	none	KLF9, COPS5, HIF1AN, PREB, TCF7L2, SMARCA1, SMARCAD1, CHD1, CSDA, MEOX2 [23]
Mitochondrial	COPS5 [25]	none	SMARCAD1, CHD1, TCF7L2, HIF1AN², SMARCA1, BPTF, PREB, MEOX2, YBX1 [26]
Ribosomal	none	none	BTF3, GTF2H5, CAMTA1, ZHX1, YY1 [29], BMI1, NR3C1, SUB1, ZBTB1, RBL2
Regulation of ubiquitin–protein ligase activity	BPTF	SUZ12	TCEB1, TAF9, COPS5 [30], SMAD5, SOX4 [31], JMJD1C, TCF4 [32], SMARCE1, NCOA1
Translation	BTF3	none	YBX1, TAF10, PHB2, ASH1L, TULP4, TBX3, RBM39, MLL3, RBL2

¹ In descending order of strength of absolute average correlation coefficient. References providing experimental evidence supporting our computational output are provided.
²TFs also identified in the presumed equivalent module in the bovine AC landscape are in bold.

ISSN: 1756-0500