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Table 1 106 significant genes/proteins in the intersection sub-network

From: Elevated urinary urea by high-protein diet could be one of the inducements of bladder disorders

Gene symbol

Microarray (fold change)

Proteomics (fold change)

Degree

Module

MCPT9

3.310011

1.510910

0

 

MCPT2

2.780586

1.801877

0

 

HBB

1.857657

1.367048

14

 

MAGEB16

1.841369

1.219194

0

 

TTR

1.738377

1.366377

50

 

ALDH3A1

1.523775

1.347139

4

 

EPHX2

1.513983

1.449821

5

 

FGB

1.512520

1.217485

19

 

FLNA

0.659427

1.428516

146

 

TSPAN8

0.655180

0.817315

0

 

TPM2

0.647158

1.677788

38

 

TAGLN

0.647115

1.387740

19

 

AKR1B8

0.636913

0.631030

0

 

MYL9

0.632688

1.244950

11

 

DES

0.596159

1.667755

37

 

OCM

0.546350

0.772013

0

 

MSLN

0.544640

0.617956

13

 

CNN1

0.537661

1.430010

13

 

S100A4

0.527200

0.800636

40

 

C3

0.349307

1.553393

32

 

SERPINE1

2.245071

1.130098

15

 

ISG15

2.228321

1.135855

81

B

SRGN

1.915938

1.123091

6

 

IFIT3

1.807260

–

35

C

HSPA2

1.740325

1.055071

27

B

SOX2

1.692999

1.085868

26

B

ZBTB16

1.684050

1.096661

60

F

CDKN1C

1.682264

1.124969

10

 

TPM1

1.647525

1.055467

45

 

NR1H3

1.632770

–

20

 

IRF7

1.598710

–

20

 

COL17A1

1.587436

1.115462

9

 

ADORA2A

1.558627

0.995801

9

 

EEF1B2

1.551863

0.984599

40

C

HIST1H2AK

1.536522

1.036648

23

C

FOS

1.524554

1.119582

72

C

BAX

1.520690

1.115530

33

 

HBG1

1.515075

–

10

 

NDUFA2

1.501249

1.047733

20

 

GDAP1

1.501249

1.025848

5

 

FN1

0.664729

0.944520

386

A

PARD6B

0.651307

0.881654

14

 

CCNB1

0.640989

0.920932

49

 

DIAPH3

0.634613

0.983113

11

 

SGOL2

0.634613

–

4

 

PRC1

0.629975

0.980930

9

 

ARHGEF6

0.629887

1.019215

23

 

UBA2

0.627761

–

36

 

LTBP1

0.605885

0.978378

11

 

PAPPA

0.601551

–

10

 

CDK6

0.600723

0.977918

37

B

PLN

0.584696

0.954198

4

 

AREG

0.580722

–

8

 

PRSS23

0.519846

–

12

 

SERPING1

0.513943

0.892042

9

 

FHL1

0.485693

1.198227

24

 

C2

0.477574

–

5

 

ACTC1

0.455956

0.967525

41

 

KRT14

0.453798

0.835215

36

 

KRT1

0.928397

2.156542

45

C

CRP

1.281350

1.930480

16

 

CALD1

0.698924

1.708044

17

B

KRT20

1.000797

1.659203

7

 

KRT10

1.000000

1.632362

41

 

PDE4DIP

0.951103

1.536384

21

 

DECR1

1.120752

1.427631

8

 

SYNM

0.723882

1.415602

9

 

SYNPO2

0.697342

1.405946

10

 

PDLIM7

0.876647

1.396267

27

 

MYLK

0.884821

1.386343

17

 

ACTA2

–

1.338323

47

 

CTSD

0.967471

1.325037

21

 

ZYX

1.000000

1.317850

62

 

NQO1

1.081580

1.313200

11

 

GC

1.104551

1.304363

10

 

ACAA1

–

1.300248

11

 

SLC4A1

0.968066

1.297543

10

 

FBN1

1.013898

1.287208

11

 

ALB

1.397036

1.266113

69

 

ACTN1

1.127086

1.262533

69

 

CFB

–

1.259225

7

 

FGA

1.000000

1.249999

19

 

S100A1

1.328431

1.244232

16

 

FGG

1.050224

1.243389

9

 

SORBS1

–

1.240217

24

 

CTSC

1.108849

1.232253

6

 

AMBP

1.127504

1.224902

11

 

COL1A1

1.138096

1.224453

32

 

COL1A2

1.057467

1.220590

18

 

APOE

1.375960

1.214975

32

C

KRT5

–

1.204095

40

 

NOP58

0.860563

0.830641

47

 

SSB

0.969600

0.828536

49

 

B2M

0.941857

0.827784

13

 

TRIM21

1.222173

0.827560

40

 

CDC42

0.959164

0.821915

87

 

PDPK1

0.928232

0.817906

13

 

SIN3A

1.023062

0.800982

101

C

IDI1

0.842511

0.790994

3

 

CORO1B

0.898386

0.789598

16

 

GNE

0.914991

0.770752

6

 

EEF1A1

1.011713

0.769277

204

D

DNAJC7

0.993363

0.764110

21

 

PCNA

0.897037

0.748792

127

C

ORM1

0.864442

0.637926

7

 

CLU

0.848667

0.479796

50

 
  1. Italic texts stand for significant changed
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Journal of Translational Medicine

ISSN: 1479-5876

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