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Table 1 Summary statistics of the predictions for the 30 tissues examined.

From: Identification of tissue-specific cis-regulatory modules based on interactions between transcription factors

Tissue No. of CRMs No. of target genes Important TFs
Bladder 58 35 SREBP-1, NRF-1, NF-Y, ETF, MAX
Blood 319 150 FOXJ2, ELF-1, ETF, CDP, PEA3
bone 4 4 OCT-1, RFX1, EF-C, FOXJ2, NKX3A
bone marrow 138 73 SREBP-1, NRF-1, STAT1, HLF, TEF
brain 757 149 FREAC-7, OCT-1, SOX-9, FREAC-3, NKX6-2
cervix 174 90 ETF, NRF-1, SP1, AP-2, C-MYC/MAX
colon 225 68 CDP, AFP1, HNF-1, OCT-1, ALX-4
eye 242 78 FOXJ2, POU3F2, OCT-1, CHX10, CRX
heart 192 62 MEF-2, POU3F2, GATA-6, AP-1, IRF1
kidney 180 83 HNF-1, COUP-TF/HNF-4, CRX, OCT-1
larynx 225 99 ETF, SP1, NRF-1, AP-2, WHN
liver 300 110 HNF-1, ALX-4, HNF-3alpha, C/EBPgamma
lung 64 28 ETF, MTF-1, C-MYC/MAX, LHX3, NRF-1
lymph node 194 111 ICSBP, PU.1, ETF, ELK-1, NRF-1
mammary gland 180 69 RSRFC4, CDP, MEF-2, FAC1, LHX3
muscle 169 69 MEF-2, RSRFC4, SRF, MYOD, CDP_CR3
ovary 121 47 VDR, MAZ, MZF1, SP1, CREB
pancreas 110 48 MYOD, ATF, SP1, E47, AREB6
PNS 260 55 POU3F2, OCT-1, NKX6-2, HNF-6, HFH-3
placenta 121 57 LHX3, AFP1, CHX10, NKX6-2, CDP
prostate 212 64 LHX3, POU3F2, CDC5, C/EBPgamma, CART-1
skin 50 28 AREB6, LMO2_COMPLEX, ALX-4, ARP-1
small intestine 435 68 POU3F2, LHX3, NKX6-2, HNF-1, FOXD3
soft tissue 217 70 FOXO4, C/EBPgamma, FOXO1, SRY, RSRFC4
spleen 94 44 RSRFC4, LBP-1, CDP, MEF-2, NF-KAPPAB
stomach 131 76 ETF, SP1, AP-2gamma, AREB6, SRY
testis 579 296 NRF-1, ETF, SP1, AP-2, C-MYC/MAX
thymus 155 47 POU3F2, NKX6-2, E4BP4, TAX/CREB, ETF
tongue 183 104 ETF, SP1, NRF-1, HIF-1, CREB
uterus 143 28 POU3F2, OCT-1, E4BP4, POU1F1, NKX6-1
Total 6232 2310  
  1. Important TFs of a tissue are the top 5 TFs which contribute most to the potential energies of the CRMs.