Control systems and coordination protocols of the secretory pathway.

Like other cellular modules, the secretory pathway and the Golgi complex are likely to be supervised by control systems that support homeostasis and optimal functionality under all conditions, including external and internal perturbations. Moreover, the secretory apparatus must be functionally connected with other cellular modules, such as energy metabolism and protein degradation, via specific rules of interaction, or "coordination protocols". These regulatory devices are of fundamental importance for optimal function; however, they are generally "hidden" at steady state. The molecular components and the architecture of the control systems and coordination protocols of the secretory pathway are beginning to emerge through studies based on the use of controlled transport-specific perturbations aimed specifically at the detection and analysis of these internal regulatory devices.

Overexpression of Far1, a cyclin-dependent kinase inhibitor, induces a large transcriptional reprogramming in which RNA synthesis senses Far1 in a Sfp1-mediated way.

The FAR1 gene encodes an 830 residue bifunctional protein, whose major function is inhibition of cyclin-dependent kinase complexes involved in the G1/S transition. FAR1 transcription is maximal between mitosis and early G1 phase. Enhanced FAR1 transcription is necessary but not sufficient for the pheromone-induced G1 arrest, since FAR1 overexpression itself does not trigger cell cycle arrest. Besides its well established role in the response to pheromone, recent evidences suggest that Far1 may also regulate the mitotic cell cycle progression: in particular, it has been proposed that Far1, together with the G1 cyclin Cln3, may be part of a cell sizer mechanism that controls the entry into S phase. Far1 is an unstable protein throughout the cell cycle except during G1 phase. Far1 levels peak in newborn cells as a consequence of a burst of synthetic activity at the end of the previous cycle, and the amounts per cell remain roughly constant during the G1 phase. Phosphorylation (at serine 87) by Cdk1-Cln complexes primes Far1 for ubiquitin-mediated proteolysis. By coupling a genome-wide transcriptional analysis of FAR1-overexpressing and far1Δ cells grown in ethanol- or glucose-supplemented minimal media with a range of phenotypic analysis, we show that FAR1 overexpression not only coordinately increases RNA and protein accumulation, but induces strong transcriptional remodeling, metabolism being the most affected cellular property, suggesting that the Far1/Cln3 sizer regulates cell growth either directly or indirectly by affecting metabolism and pathways known to modulate ribosome biogenesis. A crucial role in mediating the effect of Far1 overexpression is played by the Sfp1 protein, a key transcriptional regulator of ribosome biogenesis, whose presence is mandatory to allow a coordinated increase in both RNA and protein levels in ethanol-grown cells.

Cell growth and cell cycle in Saccharomyces cerevisiae: basic regulatory design and protein-protein interaction network.

In this review we summarize the major connections between cell growth and cell cycle in the model eukaryote Saccharomyces cerevisiae. In S. cerevisiae regulation of cell cycle progression is achieved predominantly during a narrow interval in the late G1 phase known as START (Pringle and Hartwell, 1981). At START a yeast cell integrates environmental and internal signals (such as nutrient availability, presence of pheromone, attainment of a critical size, status of the metabolic machinery) and decides whether to enter a new cell cycle or to undertake an alternative developmental program. Several signaling pathways, that act to connect the nutritional status to cellular actions, are briefly outlined. A Growth & Cycle interaction network has been manually curated. More than one fifth of the edges within the Growth & Cycle network connect Growth and Cycle proteins, indicating a strong interconnection between the processes of cell growth and cell cycle. The backbone of the Growth & Cycle network is composed of middle-degree nodes suggesting that it shares some properties with HOT networks. The development of multi-scale modeling and simulation analysis will help to elucidate relevant central features of growth and cycle as well as to identify their system-level properties. Confident collaborative efforts involving different expertises will allow to construct consensus, integrated models effectively linking the processes of cell growth and cell cycle, ultimately contributing to shed more light also on diseases in which an altered proliferation ability is observed, such as cancer.

Networks and circuits in cell regulation.

Large-scale "omics" data are often represented as networks of interacting components, but such representation is inherently static and, as such, cannot provide a realistic picture of the temporal dynamics of complex cellular functions. These difficulties suggest moving to a modeling strategy that explicitly takes into account both the wiring of the components and the task they perform. From an engineering perspective, this problem resembles that of "circuit analysis". In this paper, we focus on a limited but relevant biological circuit, the G1 to S transition in yeast cell cycle, and investigate both the network representation and the corresponding circuit described by a mathematical model, by means of a wide range of numerical simulation analysis. Reliable predictions of system-level properties are achieved and the parameters that mostly affect these properties are found out.