Fungal infections represent a major global health problem that affects over a billion people and kills more than 1.5 million individuals annually. Here we employed an integrative approach to unravel the landscape of the human immune responses to Candida spp. (C. albicans and C. auris) by performing a meta-analysis of microarray, bulk, and single-cell RNA-sequencing (RNASeq) of blood transcriptome data. We identified that C. albicans activates a network interplay of signaling molecules commonly involved in both toll-like receptor (TLR) and interferon (IFN) signaling cascades. These molecules form a highly interconnected interferome network, which contains an immune overlap with the anti-viral responses. scRNAseq data confirmed that genes commonly identified by the three transcriptomic methods present a consistent upregulation pattern across innate immune and adaptive cells (CD4+, CD8+, and CD19+ lymphocytes). Thus, our results shed new lights on the molecular basis of immune response to Candida spp.