. 2010 Apr 29;5(4):e10405. doi: 10.1371/journal.pone.0010405

Table 2. Pathway analysis for aging-related genes.

Downregulated

Ca²⁺ ion binding (# 17, p = 0.0035)- Actn1, Ap1gbp1, Calb1, Camk4, Clstn1, Dag1, Dmp1, Gpd2, LOC684520, Ncald, Nell2, Pcdha1, Rnf111, Scg2, Slc24a3, Syp, Tesc

Receptor activity (# 27, p = 0.0008)- Acvr2a, Atrnl1, Chn1, Derl1, Epha7, Gabra5, Gabrb3, Gpr176, Grm7, Htr1b, Il22ra2, Insr, LOC683548, Mmd, Nr3c2, Oprm1, Pcdha1, Pcsk5, Ptpro, Ptpru, Ring1, Slc7a1, Sra1, Sstr2, Strap, Tfrc, Trpc5

ATP synthesis coupled H⁺ transport (# 06, p = 0.0056)- Atp5a1, Atp5h, Atp6ap1, Atp6v0e2, Atp6v1b2, Atp6v1c1

Tyrosine phosphorylation of Stat3 (# 04, p = 3.7⁻⁰⁶)- Clcf1, Il22ra2, Ppp2ca, Ppp2cb

Vesicle (# 17, p = 0.0145)- Abca3, Agtr1a, Agtrl1, Ap1gbp1, Capza2, Chgb, Copb1, Kif3a, Rab12, Rab3d, Scamp1, Scg2, Syn1, Syp, Syt17, Tfrc, Trim9

Phosphorylation (# 27, p = 0.0039)- Acvr2a, Atp5a1, Atp5h, Atp6ap1, Atp6v0e2, Atp6v1b2, Atp6v1c1, Camk4, Cask, Clcf1, Dclk1, Epha7, Ikbkap, Il22ra2, Insr, LOC687516, Map2k1, Map2k5, Map3k12, Mark3, Nme1, Pcsk5, Plk2, Ppp2ca, Ppp2cb, Prpf4b, Uhmk1

Secretion (# 18, p = 0.0272)- Agtr1a, Arf5, Capza2, Copa, Copb1, LOC498353, Nr3c2, Osbpl5, Rab3d, Sar1a, Scamp1, Scg2, Scrn1, Sec22a, Snca, Syn1, Trim9, Yipf5

Upregulated

Lysosome (# 24, p = 4.8⁻⁰⁸)- Abca2, Aga, Cd74, Ctsd, Ctss, Dnase2a, Fnbp1, Fuca1, Gm2a, Gusb, Hexa, Hexb, Ifi30, Lamp1, Lamp2, Laptm5, Lgmn, Neu1, Nppa, Ppt1, Psen1, Slc15a3, Tpp1, Trip10

Antigen processing and presentation (# 11, p = 6.7⁻⁰⁹)- B2m, Btnl3, Cd74, Ctse, Fcgr2b, Ifi30, Psmb8, Psme2, RT1-Aw2, RT1-Ba, RT1-M3

Response to wounding (# 39, p = 6.5⁻⁰⁶)- Aif1, Alox5ap, Apod, Ass1, C1qa, C1qb, C1qc, C3, Ccl5, Cd9, Cfh, Ctgf, Cxcl14, Dsp, Ednrb, Entpd2, Fcgr2b, Gatm, Gfap, Gsn, Il10rb, Itgb2, Klk6, Lta4h, Neu1, P2ry12, Pllp, Ptafr, Ptpn6, Pycard, Rab27a, RT1-Aw2, S100a9, Serpina1, Srprb, Stat3, Tbxas1, Tgfa, Tm4sf4

Adaptive immune response (# 12, p = 4.2⁻⁰⁷)- C1qa, C1qb, C1qc, C3, Cd74, Fcgr2b, Il18, Inpp5d, Irf7, Pirb, Ptprc, Rab27a

Actin filament (# 06, p = 0.0014)- Actc1, Aif1, Cnn3, Lcp1, Myo9b, Wipf1

Leukocyte mediated cytotoxicity (# 03, p = 0.0116)- Fcgr2b, Ptprc, Rab27a

Eicosanoid metabolic process (# 07, p = 0.0011)- Alox5ap, Cd74, Lta4h, Pla2g4a, Ptgds2, Ptgs1, Tbxas1

Glucosamine metabolic process (# 04, p = 0.0337)- Chi3l1, Hexb, Nagk, Renbp

Myelination (# 07, p = 0.0334)- Aspa, Cd9, Hexa, Hexb, Klk6, Pllp, Srprb

Membrane lipid catabolic process (# 04, p = 0.0067)- Gm2a, Hexa, Hexb, Pla2g4a

Lipid biosynthetic process (# 18, p = 0.0498)- Acsl3, Agt, Alox5ap, Cd74, Cyb5r2, Fdft1, Ggps1, Hexb, Hspc105, Lta4h, Nr0b1, Pla2g4a, Ptgds2, Ptgs1, Srd5a1, Srebf1, Stard3, Tbxas1

Regulation of neuron apoptosis (# 08, p = 0.0084)- Agt, Aif1, Dlx1, Nqo1, Ppt1, Psen1, RT1-Aw2, Tgfa

Lists of significantly (p≤0.05, two-way ANOVA main effect of age) down- and up-regulated genes were subjected to overrepresentation analysis using DAVID's clustering function (Methods). Representative pathways from each cluster found to have significantly more genes than expected by chance (p≤0.05, modified Fisher's exact test) are shown. The pathway (bold) is followed in parentheses by the number of genes found to be significant in that pathway (#) and the likelihood that such a number could be found by chance (p = ). This is followed by a list of the gene symbols within that pathway.