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. 2020 Apr 1;41(1):105–114. doi: 10.1007/s10571-020-00836-z

Table 2.

Ontology-based clusterization with Metacore

Biological process Total FDR p-value No of targets Targets in the dataset
Role of cell–cell and ECM-cell interactions in oligodendrocyte differentiation and myelination 34 9.1E−05 9 Claudin-11, PLP1, Connexin 43, Connexin 26, Reticulon 4, MAG, GJC3, Myelin basic protein, Connexin 32
Cell adhesion_Gap junctions 30 1.6E-02 6 PKC, Connexin 43, Connexin 31, Connexin 26, Connexin 32, Tubulin beta
Role of Thyroid hormone in regulation of oligodendrocyte differentiation 48 2.6E−02 7 TR-beta, PLP1, p73, MOG, MAG, Myelin basic protein, OATP-A
ATM/ATR regulation of G2/M checkpoint 26 3.1E−02 5 Chk1, Chk2, Cyclin B, Claspin, GADD45 beta
Substance P-stimulated expression of proinflammatory cytokines via MAPKs 43 3.9E−02 6 PKC-delta, PLC-beta, Substance P extracellular region, CCL13, c-Jun, GRO-2
Oxidative stress_activation of NADPH oxidase 59 3.9E−02 7 PKC, PKC-delta, p47-phox, PLC-beta, p22-phox, TRIO, Rac2
HDL-mediated reverse cholesterol transport 44 3.9E−02 6 Pre beta-1 HDL, Nascent HDL, Large apoE-rich HDL, APOA1, PLTP, APOE
Cytoskeleton remodeling 102 5.3E−02 9 Fibronectin, MyHC, MYLK1, MLCK, Collagen I, TGF-beta receptor type I, TRIO, c-Jun, LIMK2

The software Metacore was used to perform an ontology-based analysis of the 1060 differentially expressed genes, in order to identify common biological processes and functions. In table the resulting more significant biological processes and the relative associated genes from the experimental dataset are reported. In bold, the biological processes selected for subsequent studies are reported.