Cell growth is an essential requirement for cell cycle progression. While it is often held that growth is independent of cell cycle position, this relationship has not been closely scrutinized. Here we show that in budding yeast, the ability of cells to grow changes during the cell cycle. We find that cell growth is faster in cells arrested in anaphase and G1 than in other cell cycle stages. We demonstrate that the establishment of a polarized actin cytoskeleton-either as a consequence of normal cell division or through activation of the mating pheromone response-potently attenuates protein synthesis and growth. We furthermore show by population and single-cell analysis that growth varies during an unperturbed cell cycle, slowing at the time of polarized growth. Our study uncovers a fundamental relationship whereby cell cycle position regulates growth.[Keywords: Actin polarization; cdc28; cell cycle; cell growth; cell size; Saccharomyces] Supplemental material is available at http://www.genesdev.org.

We and others have shown that transition and maintenance of biological states is controlled by master regulator proteins, which can be inferred by interrogating tissue-specific regulatory models (interactomes) with transcriptional signatures, using the VIPER algorithm. Yet, some tissues may lack molecular profiles necessary for interactome inference (orphan tissues), or, as for single cells isolated from heterogeneous samples, their tissue context may be undetermined. To address this problem, we introduce metaVIPER, an algorithm designed to assess protein activity in tissue-independent fashion by integrative analysis of multiple, non-tissue-matched interactomes. This assumes that transcriptional targets of each protein will be recapitulated by one or more available interactomes. We confirm the algorithm’s value in assessing protein dysregulation induced by somatic mutations, as well as in assessing protein activity in orphan tissues and, most critically, in single cells, thus allowing transformation of noisy and potentially biased RNA-Seq signatures into reproducible protein-activity signatures.

Glioma growth is driven by signaling that ultimately regulates protein synthesis. Gliomas are also complex at the cellular level and involve multiple cell types, including transformed and reactive cells in the brain tumor microenvironment. The distinct functions of the various cell types likely lead to different requirements and regulatory paradigms for protein synthesis. Proneural gliomas can arise from transformation of glial progenitors that are driven to proliferate via mitogenic signaling that affects translation. To investigate translational regulation in this system, we developed a RiboTag glioma mouse model that enables cell-type-specific, genome-wide ribosome profiling of tumor tissue. Infecting glial progenitors with Cre-recombinant retrovirus simultaneously activates expression of tagged ribosomes and delivers a tumor-initiating mutation. Remarkably, we find that although genes specific to transformed cells are highly translated, their translation efficiencies are low compared with normal brain. Ribosome positioning reveals sequence-dependent regulation of ribosomal activity in 5Ј-leaders upstream of annotated start codons, leading to differential translation in glioma compared with normal brain. Additionally, although transformed cells express a proneural signature, untransformed tumor-associated cells, including reactive astrocytes and microglia, express a mesenchymal signature. Finally, we observe the same phenomena in human disease by combining ribosome profiling of human proneural tumor and non-neoplastic brain tissue with computational deconvolution to assess cell-typespecific translational regulation.

Aneuploidy causes cell proliferation defects in budding yeast, with many aneuploid strains exhibiting a G1 delay. This study shows that the G1 delay in aneuploid budding yeast is caused by a growth defect and delayed passage through START due to delayed G1 cyclin accumulation.