Table 2.
References | Training genes |
---|---|
Wang et al. [41] | ifnγ, il4, cd11c, cd80, cd86 |
Chai et al. [42] | il1β, il2, il6, il8, il10, ifnα, tnfα, tlr3, tgev |
Romano et al. [43] | il1, il12, il15, il13, il17, nf-κb, stat3 |
Catanzaro et al. [1] | ace2, tmprss2, il6, il1β, il8, g-csf, gmcsf, ip-10, mcp-1, ccl3, tnfα, hs-crp, ighv3–23, ighv3–7, ighv3–15, ighv3–30, igkv3–11, ighv3–23-ighj4, il1ra, il9, fgf, ifnγ, mip-1α, mip-1β, pdgf, vegf, g-csf,, mcp-1, mip-1α, tnfα, ifn-α2, ifnγ il1ra il2, 4, 7, 10, 12, 17, g-csf, m-csf, tlr3, tlr7, tlr8, rig-i, mda5, cxcl2,, jak, ccl3 myd88, inos, cd86, gp130, adam17, il-6rα, sil-6rα, egfr, aak1, gak, s1p, s1prs, ras/erk, pi3k/akt/enos, plc/ca2 + , trif, at1, ccl2, s1p1, ifnβ |
Young et al. [44] | crp, hmgcoa, app, scfa, gpr43, hdac |
Akour [45] | g-csf, ip10/cxcl10, mcp-1, thp-1, il22, il8, tnfα, mpo, inos, cox-2, nf-κb, il6 |
Renzo et al. [46] | ace2, il10, il17, mtor |
Shi et al. [47] | hla, has2 |