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Table 3 KEGG pathway analysis for differentially expressed genes in JS1 cells with or without LPS treatments and the key regulatory genes

From: Transcriptomic analysis of the effects of Toll-like receptor 4 and its ligands on the gene expression network of hepatic stellate cells

Path

Path Term

Enrichment (+, up; −, down)

P value

No. of genes

Gene-act-network core genes (degree >3)

Co-expression network core genes (Dif-degree >3)

path:mmu00010

Glycolysis/gluconeogenesis

+3.226

0.002679

10

Hk1

Gm5506, Tpi1, Ldha

path:mmu03420

Nucleotide excision repair

+3.110

0.008222

8

/

Rfc2, Ercc1, Cdk7

path:mmu03040

Spliceosome

+2.030

0.013765

15

/

Ddx39b, Snrpb, Rpa2, Prpf19, Ppie, Hnrnpa3

path:mmu04620

Toll-like receptor signaling pathway

+2.224

0.018448

11

Mapk9, Mapk14

Mapk9, Mapk14

path:mmu04722

Neurotrophin signaling pathway

+1.965

0.021031

14

Mapk14, Cdc42

Mapk14

path:mmu05320

Autoimmune thyroid disease

+2.589

0.028615

7

H2-Q2, H2-Q10,LOC100044874,H2-T10,H2-Bl

H2-Q2

path:mmu03030

DNA replication

+2.757

0.032638

6

/

Pola2

path:mmu04070

Phosphatidylinositol signaling system

−3.880

0.003976

7

Prkca, Pik3r3

Prkca

path:mmu04530

Tight junction

−2.431

0.025024

8

Prkca, Myl9

/

path:mmu04120

Ubiquitin mediated proteolysis

−2.231

0.028651

9

Map3k1

Map3k1, Herc1, Prkca, Ubr5

  1. Note: Genes that are identified to be key regulatory factors by both gene-act-network and co-expression network analysis (degree or difference degree >3) are marked in bold and italic font