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Table 2 Pathway analysis

From: Differential transcriptomics in sarcoidosis lung and lymph node granulomas with comparisons to pathogen-specific granulomas

Pathway name

Gene set size

Genes contained

p-value

q-value

Source

Granulomatous tissue

 Cytokine-cytokine receptor interaction

294

37 (12.6%)

1.5E−20

4.2E−19

KEGG

 Chemokine signalling pathway

189

24 (12.7%)

9.8E−14

1.4E−12

KEGG

 VEGFA-VEGFR2 Signaling Pathway

236

26 (11.0%)

2.6E−13

2.4E−12

Wikipathways

 PI3K-Akt signalling pathway

354

31 (8.8%)

5.6E−13

3.9 E−12

KEGG

 Focal Adhesion-PI3K-Akt-mTOR-signaling

302

28 (9.3%)

2.2E−12

1.2E−11

Wikipathways

 PI3K-Akt Signaling Pathway

340

29 (8.6%)

6.4E−12

3E−11

Wikipathways

 Pathways in cancer

526

36 (6.8%)

1.1E−11

4.4E−11

KEGG

 Focal Adhesion

198

22 (11.1%)

1.7E−11

5.8E−11

Wikipathways

 Extracellular matrix organization

294

26 (8.8%)

4.1E−11

1.3E−10

Reactome

 Focal adhesion

199

21 (10.6%)

1.3E−10

3.6E−10

KEGG

 Human papillomavirus infection

339

23 (6.8%)

8.9E−08

2.3E−07

KEGG

 Signal Transduction

2647

82 (3.1%)

4.1E−07

9.1E−07

Reactome

 Cytokine Signaling in Immune system

458

26 (5.7%)

4.2E−07

9.1E−07

Reactome

 Immune System

1840

63 (3.4%)

5.2E−07

1E−06

Reactome

 MAPK signalling pathway

295

20 (6.8%)

6.5E−07

1.2E−06

KEGG

 JAK STAT pathway and regulation

310

20 (6.5%)

1.3E−06

2.3E−06

INOH

 Signaling by Receptor Tyrosine Kinases

423

21 (5.0%)

4.3E−05

7.1E−05

Reactome

 GPCR ligand binding

466

22 (4.7%)

5.8E−05

9.1E−05

Reactome

Hemostasis

668

25 (3.7%)

0.00069

0.00101

Reactome

 Adaptive Immune System

732

25 (3.4%)

0.00232

0.00324

Reactome

 Innate Immune System

1077

31 (2.9%)

0.00852

0.0114

Reactome

Sarcoidosis exclusively

 VEGFA-VEGFR2 Signaling Pathway

236

12 (5.1%)

1.97E−08

2.76E−07

Wikipathways

 MAPK signalling pathway

295

11 (3.7%)

1.79E−06

1.25E−05

KEGG

 Diseases of signal transduction

248

10 (4.0%)

2.73E−06

1.27E−05

Reactome

 Focal Adhesion-PI3K-Akt-mTOR-signaling

302

10 (3.3%)

1.55E−05

5.42E−05

Wikipathways

 Nuclear Receptors Meta-Pathway

316

10 (3.2%)

2.29E−05

6.41E−05

Wikipathways

 Signaling by Receptor Tyrosine Kinases

423

11 (2.6%)

5.30E−05

0.00012

Reactome

 PI3K-Akt signalling pathway

354

10 (2.8%)

5.86E−05

0.00012

KEGG

 Pathways in cancer

526

11 (2.1%)

0.00036

0.00063

KEGG

 Signal Transduction

2647

29 (1.1%)

0.00065

0.00102

Reactome

 Disease

510

10 (2.0%)

0.00108

0.00151

Reactome

 JAK STAT pathway and regulation

310

9 (2.9%)

0.00011

0.00025

INOH

 PI3K-Akt Signaling Pathway

340

9 (2.7%)

0.00023

0.00046

Wikipath

 EGFR1

457

9(2.0%)

0.00187

0.00257

NEtPath

  1. Input list were mapped in ConsensusPathDB. The total of genes identified in all granulomatous tissue in the three granulomatous diseases (250 DEG); then we mapped 87 DEG that were identified as exclusively is Sarcoidosis. We included pathways as defined by different pathway databases with a minimum overlap of 20 genes for the total number of dysregulated genes and a minimum overlap of 8 genes for the sarcoidosis gene set with a p value cut off 0.01