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Tic or lymphoid organ development (r = 0.018, n = 82) innate immune response (r = -0.42, n = 73) inflammatory response (r = -0.26, n = 144) response to oxidative stress (r = 0.17, n = 49) immune response (r = -0.39, n = 288) locomotory behavior (r = -0.15, n = 99) chemotaxis (r = -0.27, n = 81) response to stress (r = 0.015, n = 431) response to other organism (r PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/10974046 = -0.061, n = 50) response to chemical stimulus (r = -0.056, n = 207) immune system process (r = -0.43, n = 275) cellular process (r = -0.071, n = 1348)and weaker among certain genes associated with other processes. The CR-aging association was thus examined with respect to gene ontology biological process terms that were associated with genes increased or decreased by aging across all mouse tissues (Figures 11 and 12). This analysis revealed definite differences among gene categorizations with respect to the transcriptional relationship between CR and aging. In particular, among genes involved in immune response, innate immune response and immune system processes, the effects of CR were negatively associated with those of aging (Figure 11; r 0.39). These results are in agreement with the RT-PCR investigation of Park et al. (2009) , which found that, in heart and cerebellum, CR opposed the effects of aging for certain genes associated with immunity and defense response (e.g., C4, C1qa, Lzp-s, Cxcl14). Figures 11 and 12 also show that CR opposes age-associated expression patterns among other classes of genes as well, such as groups of genes with roles in apoptosis, protein amino acid dephosphorylation, lipid transport, chemotaxis, biopolymer metabolic process and inflammation. At the same time, for some processes, the opposite pattern of association was found (e.g., negative regulation of RNA metabolic process; Figure 12), and for many gene groups, the association between CR PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/10411574 and aging was non-significant and weakly inverse, in agreement with analyses based upon global transcriptional patterns among all genes.Figure 11 regulated by aging process restriction and ontology biologicalacross all terms associated with Gene Relationship between caloricmouse tissues aging.genes up Relationship between caloric restriction and aging. Gene ontology biological process terms associated with genes up regulated by aging across all mouse tissues. A total of 2554 genes were identified as significantly increased by aging across the 22 mouse tissue types, based upon Ascochlorin stringent significance criteria (Pu < 0.001 and up regulated by age in at least five mouse tissues). Among these genes, significantly over-represented gene ontology (GO) biological process terms were identified (P < 0.05; hypergeometric test). These significant GO terms are shown in the chart and have been clustered according to the number of ancestor terms shared between any two GO biological processes. For each term, a subset of n associated genes was identified, and among these n genes, the correlation (r) between the transcriptional effects of CR and aging was evaluated. Transcriptional effects of CR and aging across tissues were defined as explained in Figure 7. For terms displayed in red font, the transcriptional association between CR and aging was negative (r < 0) and significant (P 0) and significant (P < 0.05). For all other terms (black font), there was no significant relationship between transcriptio.