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Table 3 Canonical pathways populated by the age-related gene set

From: Transcriptomic evidence of a para-inflammatory state in the middle aged lumbar spinal cord

Pathway Target Genes Pathway Genes Ratio z-score B-H p value Target Gene ID’s
Complement 9 37 0.243 1.414 1.11E-06 C3, C1QA, C1QB, C1QC, C1S, CFD, CFH, ITGB2, SERPING1
Cholesterol Biosynthesis 7 28 0.250   2.63E-05 CYP51A1, HMGCR, HMGCS1, HSD17B7, IDI1, LSS, SC5D
iCOS-iCOSL signaling T helper cell 10 108 0.093   6.64E-04 CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PLEKHA4, PTPRC
Cholesterol Biosynthesis I 4 13 0.308   1.84E-03 CYP51A1, HSD17B7, LSS, SC5D
Cholesterol Biosynthesis II (via 24,25-dihydrolanosterol) 4 13 0.308   1.84E-03 CYP51A1, HSD17B7, LSS, SC5D
Cholesterol Biosynthesis II (via desmosterol) 4 13 0.308   1.84E-03 CYP51A1, HSD17B7, LSS, SC5D
Ca-induced T cell Apoptosis 7 64 0.109   2.40E-03 CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PRKCE
OX40-signaling 8 89 0.090   2.40E-03 CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, RT1-EC2, TNFSF4
NFAT regulation of immune response 11 171 0.064 1.89 2.40E-03 BLNK, CD3G, FCER1G, FCGR2B, FCGR3A/FCGR3B, GNAS, GSK3B, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5
B Cell development 5 33 0.152   4.35E-03 HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PTPRC
Nur77 signaling in T cells 6 57 0.105   6.70E-03 CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5
Cd28 signaling in T Helper Cells 8 118 0.068   1.15E-02 CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PTPRC
PKC-τ signaling in T cells 8 118 0.068 1.414 1.15E-02 CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, MAP3K8
  1. The differentially expressed annotated genes (target gene set) were placed in the contexts of canonical biological pathways using the IPA software and its curated database. Ratio = target genes/pathway genes. P values were calculated using a modified Fisher test that corrects for multiple hypothesis testing. Significant Z-score indicate overall pathway modulation (+) for up (-) for down