Table 5 Top 5 comparison between inter-chromosomal network interactions and Hi-C experiments for healthy and cancerous data.

From: RNA-Seq based genome-wide analysis reveals loss of inter-chromosomal regulation in breast cancer

Phenotype

Chr

Symbol

GeneStart

Chr

Symbol

GeneStart

Network MI

Hi-C

Healthy

Cancerous

MCF10a

MCF7

Healthy

3

NR1D2

23986751

1

PRE3

7844380

0.4491

0.2441

1.112

0.5389

22

TEF

41763337

1

PER3

7844380

0.4416

0.2576

0.8829

0.445

8

ESRP1

95653302

1

RAB25

156030951

0.4381

0.058*

0.7815

0.9124

21

ZBTB21

43406940

1

PLK3

45265897

0.4334

0.0154*

0.7083

0.6709

3

NR1D2

23986751

1

UTS2

7903143

0.4252

0.1402*

1.112

0.5389

Cancerous

20

CSNK2A1

459116

11

CSNK2A3

11373489

0.150155*

0.601748

0.9135

1.214

9

CBWD1

121041

2

CBWD2

114195268

0.247417

0.438327

0.9979

1.37

18

KIAA1328

34409069

9

PGM5P2

69080240

0.127655*

0.436005

0.5589

0.8362

3

ESRG

54666149

8

HHLA1

133073733

0.160935*

0.405771

0.8386

0.9733

11

CSNK2A3

11373489

20

TBC1D20

416124

0.0338788*

0.30643

0.9135

1.214

  1. *Not present at 0.01% MI cutoff.