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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.