Phosphatidylserine polarization is required for proper Cdc42 localization and for development of cell polarity.

We used genetically-encoded fluorescent probes to visualize the distribution of phosphatidylserine (PS) in live S. cerevisiae. The majority of the PS was found to reside in the cytosolic leaflet of the plasma membrane. Remarkably, PS was polarized, accumulating in bud necks, the bud cortex and the tips of mating projections. Polarization required vectorial delivery of PS-enriched secretory and recycling vesicles. Rapid dissipation of the PS gradient is prevented by the slow diffusion of lipids along the plasmalemmal inner leaflet, estimated by photobleaching recovery measurements to be over an order of magnitude slower than in mammalian cells. In mutants lacking PS-synthase the absence of PS was associated with, and likely responsible for impaired polarization of the Cdc42 complex, leading to inhibition of bud emergence, diminished growth rate and abolishment of mating. The results indicate that PS polarization is required for optimal Cdc42 targeting and activation during cell division and mating

Enabling high-throughput image analysis with deep learning-based tools

Microscopes are a valuable tool in biological research, facilitating information gathering with different magnification scales, samples and markers in single-cell and whole-population studies. However, image acquisition and analysis are very time-consuming, so efficient solutions are needed for the required speed-up to allow high-throughput microscopy. Throughout the work presented in this thesis, I developed new computational methods and software packages to facilitate high-throughput microscopy. My work comprised not only the development of these methods themselves but also their integration into the workflow of the lab, starting from automating the microscopy acquisition to deploying scalable analysis services and providing user-friendly local user interfaces. The main focus of my thesis was YeastMate, a tool for automatic detection and segmentation of yeast cells and sub-type classification of their life-cycle transitions. Development of YeastMate was mainly driven by research on quality control mechanisms of the mitochondrial genome in S. cerevisiae, where yeast cells are imaged during their sexual and asexual reproduction life-cycle stages. YeastMate can automatically detect both single cells and life-cycle transitions, perform segmentation and enable pedigree analysis by determining origin and offspring cells. I developed a novel adaptation of the Mask R-CNN object detection model to integrate the classification of inter-cell connections into the usual detection and segmentation analysis pipelines. Another part of my work focused on the automation of microscopes themselves using deep learning models to detect wings of D. melanogaster. A microscope was programmed to acquire large overview images and then to acquire detailed images at higher magnification on the detected coordinates of each wing. The implementation of this workflow replaced the process of manually imaging slides, usually taking hours to do so, with a fully automated, end-to-end solution

Pheromone-induced polarization is dependent on the Fus3p MAPK acting through the formin Bni1p

During mating, budding yeast cells reorient growth toward the highest concentration of pheromone. Bni1p, a formin homologue, is required for this polarized growth by facilitating cortical actin cable assembly. Fus3p, a pheromone-activated MAP kinase, is required for pheromone signaling and cell fusion. We show that Fus3p phosphorylates Bni1p in vitro, and phosphorylation of Bni1p in vivo during the pheromone response is dependent on Fus3p. fus3 mutants exhibited multiple phenotypes similar to bni1 mutants, including defects in actin and cell polarization, as well as Kar9p and cytoplasmic microtubule localization. Disruption of the interaction between Fus3p and the receptor-associated Gα subunit caused similar mutant phenotypes. After pheromone treatment, Bni1p-GFP and Spa2p failed to localize to the cortex of fus3 mutants, and cell wall growth became completely unpolarized. Bni1p overexpression suppressed the actin assembly, cell polarization, and cell fusion defects. These data suggest a model wherein activated Fus3p is recruited back to the cortex, where it activates Bni1p to promote polarization and cell fusion.</jats:p

Roles of the DYRK Kinase Pom2 in Cytokinesis, Mitochondrial Morphology, and Sporulation in Fission Yeast

Pom2 is predicted to be a dual-specificity tyrosine-phosphorylation regulated kinase (DYRK) related to Pom1 in Schizosaccharomyces pombe. DYRKs share a kinase domain capable of catalyzing autophosphorylation on tyrosine and exogenous phosphorylation on serine/threonine residues. Here we show that Pom2 is functionally different from the well-characterized Pom1, although they share 55% identity in the kinase domain and the Pom2 kinase domain functionally complements that of Pom1. Pom2 localizes to mitochondria throughout the cell cycle and to the contractile ring during late stages of cytokinesis. Overexpression but not deletion of pom2 results in severe defects in cytokinesis, indicating that Pom2 might share an overlapping function with other proteins in regulating cytokinesis. Gain and loss of function analyses reveal that Pom2 is required for maintaining mitochondrial morphology independently of microtubules. Intriguingly, most meiotic pom2Δ cells form aberrant asci with meiotic and/or forespore membrane formation defects. Taken together, Pom2 is a novel DYRK kinase involved in regulating cytokinesis, mitochondrial morphology, meiosis, and sporulation in fission yeast

A systems and molecular analysis of G protein-mediated signalling

The ability of cells to respond correctly to signals from their microenvironment is an essential prerequisite of life. Many external signals are detected through G protein-coupled receptor (GPCR) signalling pathways, which control all aspects of eukaryotic physiology. Ligand-bound GPCRs initiate signalling by promoting exchange of GDP for GTP on the Gα subunit of heterotrimeric G proteins, thereby facilitating activation of downstream effectors. Signalling is terminated by the hydrolysis of GTP to GDP through intrinsic GTPase activity of the Gα subunit, in a reaction catalysed by the regulator of G protein signalling (RGS) proteins. Due to the problem of complexity in higher eukaryotic GPCR signalling, the matingresponse in Schizosaccharomyces pombe has been used to study GPCR signalling in isolation. In vivo data from quantitative assays of reporter strains and live-cell uorescence microscopy informs the development of an ordinary differential equation model of the signalling pathway, first described by Smith et al., 2009. The rate of nucleotide exchange on the Gα (Gpa1) is a key molecular mechanism controlling duration and amplitude of signalling response. The in uence of this is investigated through characterisation of Gpa1 nucleotide exchange mutants and perturbation of reaction rate parameters in the computational model. Further, this thesis also presents data relating to the temporal and spatial regulation of Rgs1 (the sole RGS protein for Gpa1). Using an inter-disciplinary approach, evidence is provided to suggest that an interaction between Rgs1 and the C-terminal tail of the GPCR (Mam2) tethers Rgs1 to the plasma membrane to facilitate its function. Finally, quantification of signalling at the single cell level is described. Time-lapse livecell imaging of uorescent reporter cells is optimised and single cell signalling response quantified using image analysis software. Single cell quantification provides greater insight into temporal dynamics, cell-to-cell variability, and highlights the existence of mechanisms for cellular decision-making

Functional specialization of the yeast Rho1 GTP exchange factors

Rho GTPases are regulated in complex spatiotemporal patterns that may be dependent, in part at least, on the multiplicity of their GTP exchange factors (GEFs). Here, we examine the extent of and basis for functional specialization of the Rom2 and Tus1 GEFs that activate the yeast Rho1 GTPase, the ortholog of mammalian RhoA. First, we find that these GEFs selectively activate different Rho1-effector branches. Second, the synthetic genetic networks around ROM2 and TUS1 confirm very different global in vivo roles for these GEFs. Third, the GEFs are not functionally interchangeable: Tus1 cannot replace the essential role of Rom2, even when overexpressed. Fourth, we find that Rom2 and Tus1 localize differently: Rom2 to the growing bud surface and to the bud neck at cytokinesis; Tus1 only to the bud neck but in a distinct pattern. Finally, we find that these GEFs are dependent on different protein co-factors: Rom2 function and localization is largely dependent on Ack1, a SEL1 domain containing protein; Tus1 function and localization is largely dependent on the Tus1-interacting protein Ypl066w (which we name Rgl1). We have revealed a surprising level of diversity among the Rho1 GEFs that contributes another level of complexity to the spatiotemporal control of Rho1

Shapes of cell signaling

Cell signaling is a complex process organized in time and space. Signal transduction is constantly modulated by cell-intrinsic and cell-extrinsic input cues and the resulting phenotypic responses such as morphological can feed back into the system. This provides cells with a responsive, accurate, and rugged system to deal with changes in the surroundings or the genome. Whilst signaling networks (dynamic transient protein–protein interactions modulated by post-translational modifications in response to input cues) have been researched for decades, further analysis of their spatial organization is critical for both basic and disease biology and will benefit from recent advances in computational modeling and image analysis using deep/machine learning and in microscopy and imaging. Furthermore, mathematical modeling with reaction-diffusion approaches on time-varying geometries complements the investigations, allowing to conceptualize the organizational principles of signaling and information transduction in the four dimensions of time and space.Peer Reviewe

Analysis of endocytosis at eisosomes

The yeast plasma membrane contains at least three microdomains – membrane compartment containing Pma1 (MCP), membrane compartment containing TORC2 (MCT) and membrane compartment containing Can1 (MCC). Eisosomes underlie the MCC domain defined by the marker protein arginine permease (Can1). Eisosomes are large protein assemblies composed of Pil1 and Lsp1 proteins, of which Pil1 is essential for plasma membrane organization. We found that the uncharacterized AAA-ATPase protein Yta6 dynamically colocalizes with eisosomes. Yta6 physically interacts with eisosome components, specifically with Pil1. In PIL1 deletion cells, Yta6 is unable to localize normally to the plasma membrane. Yta6 foci colocalize with the intermediates of FM4-64 on the plasma membrane. The number of these intermediates is increased upon overexpression of Yta6. Overexpressed Yta6 is also able to rescue the defects of endocytosis in cells devoid of amphiphysins. Together rescue experiments and colocalization of a protein cargo Hxt3 with eisosomes suggest that Yta6 likely plays a role in endocytosis at eisosomes. To identify genes whose products function together with eisosome components, we independently carried out a genetic interaction study (epistatic mini array profile) which revealed the protein Emp70. EMP70 showed the strongest correlation in genetic profile with PIL1. Emp70 localizes to a subset of eisosomes in addition to its localization in endosomes and vacuoles. We found eisosomes are required for normal numbers of Emp70 plasma membrane foci. Deletion of Emp70 misdirected endosomal protein Kex2 to vacuole, implicating its essential role in maintaining the architecture of the endosomal compartment. In summary, Yta6 likely plays a role in initiation of endocytosis at eisosomes and Emp70 during intracellular trafficking from plasma membrane to vacuole