Functional classification of hypoxia-responsive genes by GO data mining. The gene expression profile of H-mDCs versus mDCs was analyzed using high-density oligonucleotide arrays, as described in “RNA isolation and GeneChip hybridization.” Unique genes showing at least 2-fold change in expression levels between cells generated under hypoxic and normoxic conditions were selected and clustered in different KEGG pathways according to GO data mining for biologic process at level 1 using the DAVID software Version 2008. Based on this classification scheme, genes can be placed in more than one category if more than one function of the encoded protein was established. Bars on the right of the y-axis represent up-regulated genes; and bars on the left of the y-axis, down-regulated genes. Immune-related pathways are highlighted in boldface.