Ribosomal proteins (RPs) are critical to all cellular operations through their key roles in ribosome biogenesis and translation, as well as their extra-ribosomal functions. Although highly tissue- and time-specific in expression, little is known about the macro-level roles of RPs in shaping transcriptomes. A wealth of RP mutants exist, including the Drosophila melanogaster Minutes, with RP encoding genes that vary from greatly under-expressed to greatly over-expressed. Leveraging a subset of these mutants and using whole-body RNA sequencing, we identified the RP macro transcriptome and then sought to compare it with transcriptomes of pathologies associated with failures of ribosomal function. Gene-based analysis revealed highly variable transcriptomes of RP mutations with little overlap in genes that were differentially expressed. In contrast, weighted gene co-expression network analysis (WGCNA) revealed a highly conserved pattern across all RP mutants studied. When we compared network changes in RP mutants, we observed similarities to transcriptome alterations in human cancer, and thus confirming the oncogenic role of RPs. Therefore, what may appear stochastic at the individual gene level, forms clearly predictable patterns when viewed as a whole.