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Table 1 Top clustered genes in the PPI networks. The seed genes with the highest density in PP networks are shown

From: Systems biology approaches toward autosomal dominant polycystic kidney disease (ADPKD)

GOID

Betweenness centrality

Closeness centrality

Degree

GOID

Betweenness centrality

Closeness centrality

Degree

Normal vs. MCT

HSF1

0.002468

0.285681

17

EDN1

0.412698

0.313043

3

NRCAM

0.001105

0.25658

13

MCT vs. SC

PRMT5

0.000581

0.296164

17

EGFR

0.017832

0.371711

149

POLR3C

3.92E-05

0.265655

17

RPL35

5.85E-05

0.30435847

73

SEMA3A

3.9E-05

0.28154

16

COPA

0.00661

0.299735

54

TAF9B

0.00086

0.274302

15

PMF1

1.41E-05

0.309089

49

PIAS4

0.000677

0.299916

15

ARF6

0.006571

0.317375

45

THRB

0.000456

0.312586

13

FBXW11

0.002383

0.324162

44

DCAF7

0.000292

0.276992

12

SMURF2

0.003544

0.323445

40

EIF1

1.64E-05

0.240752

12

WWTR1

0.004166

0.318269

35

GSN

0.004329

0.284374

11

CACNB2

0.001283

0.313691

34

OCLN

0.001005

0.269397

11

TBL1X

0.001139

0.317051

33

AES

7.63E-05

0.308475

11

CUL3

0.001145

0.302286

28

ATP6

3.7E-07

0.186567

11

RPP30

0.000402

0.250681

28

ALDOA

0.001615

0.264891

4

AP1M2

5.86E-05

0.281063

26

HSD17B8

0.666667

1

3

TGFB2

0.002654

0.314127

25

SC vs. LC

PHAX

0.000336

0.294655

23

NCBP1

0.153881

0.26259

17

FABP4

0.000212

0.297939

23

KDELR2

0.01875

0.533333

7

SEC23A

0.001501

0.258339

22

FOXO1

0.152968

0.264493

5

CXCL9

6.9E-05

0.269514

21

EDN1

0.121988

0.302905

7

ND2

5E-05

0.215126

21

PSMA5

0.066667

0.769231

7

CTF1

0.000322

0.267398

19

ITGB5

0.134354

0.25

5

CITED2

9.8E-05

0.289845

19

PPIE

0.105023

0.216617

7