Table 4 Top biological pathways and terms identified by GSA in the meta-analysis of studies with clinical samples.

From: Role of innate immunity-triggered pathways in the pathogenesis of Sickle Cell Disease: a meta-analysis of gene expression studies

Biological pathway

Overlap

GSA library

p-value

Porphyrin and chlorophyll metabolism

05/41

KEGG

9.0 e-4

Interferon alpha/beta signaling

12/67

Reactome

1.7 e-8

Metabolism of porphyrins

05/17

Reactome

0.007

Antigen processing: ubiquitination & proteasome degradation

10/211

Reactome

0.007

Antiviral mechanism by IFN-stimulated genes

05/71

Reactome

0.01

Apoptosis

07/146

Reactome

0.02

Class I MHC mediated antigen processing & presentation

10/255

Reactome

0.025

Degradation of the extracellular matrix

05/89

Reactome

0.03

Cell surface interactions at the vascular wall

05/99

Reactome

0.043

Signaling by TGF-beta receptor complex

04/70

Reactome

0.048

Heme biosynthesis

04/09

Wikipathway

4.7 e-5

Senescence and autophagy

6/108

Wikipathway

0.012

Gene ontology term

Overlap

GSA library

p-value

Tetrapyrrole metabolic process

11/59

GO

3.2 e-8

Cellular response to type I interferon

11/65

GO

7.9 e-8

Response to other organism

26/462

GO

4.5 e-7

Autophagy

12/102

GO

7.2 e-7

Cytokine-mediated signaling pathway

15/342

GO

1.6 e-3

PPI hub proteins

Overlap

GSA library

p-value

RPS27A

11/173

EnrichR

3.0 e-6

HSPA1A

9/145

EnrichR

3.0 e-5

DYNLL1

9/183

EnrichR

1.9 e-4

TNFRSF1A

8/173

EnrichR

6.0 e-4

SMAD4

9/221

EnrichR

7 e-4

UBC

16/540

EnrichR

2.5 e-4

Kinase enrichment analysis

Overlap

GSA library

p-value

BMPR2

194/10324

EnrichR

0

IRAK4

70/2805

EnrichR

4.7 e-9

  1. GSA (gene set analysis) was performed using the EnrichR tool, that includes 69 different gene set libraries. Genes or terms were ranked based on the p-value. Overlap indicates the number of hits from the meta-analysis compared to each curated gene set library. GO: gene ontology biological process.