Pan-Cancer Pharmacogenomic Analysis of Patient-Derived Tumor Cells Using Clinically Relevant Drug Exposures.

As a result of tumor heterogeneity and solid cancers harboring multiple molecular defects, precision medicine platforms in oncology are most effective when both genetic and pharmacologic determinants of a tumor are evaluated. Expandable patient-derived xenograft (PDX) mouse tumor and corresponding PDX culture (PDXC) models recapitulate many of the biological and genetic characteristics of the original patient tumor, allowing for a comprehensive pharmacogenomic analysis. Here, the somatic mutations of 23 matched patient tumor and PDX samples encompassing four cancers were first evaluated using next-generation sequencing (NGS). 19 antitumor agents were evaluated across 78 patient-derived tumor cultures using clinically relevant drug exposures. A binarization threshold sensitivity classification determined in culture (PDXC) was used to identify tumors that best respond to drug in vivo (PDX). Using this sensitivity classification, logic models of DNA mutations were developed for 19 antitumor agents to predict drug response. We determined that the concordance of somatic mutations across patient and corresponding PDX samples increased as variant allele frequency increased. Notable individual PDXC responses to specific drugs, as well as lineage-specific drug responses were identified. Robust responses identified in PDXC were recapitulated in vivo in PDX-bearing mice and logic modeling determined somatic gene mutation(s) defining response to specific antitumor agents. In conclusion, combining NGS of primary patient tumors, high-throughput drug screen using clinically relevant doses, and logic modeling, can provide a platform for understanding response to therapeutic drugs targeting cancer.

A member of the claudin superfamily influences formation of the front domain in pheromone-responding yeast cells.

Cell polarization in response to chemical gradients is important in development and homeostasis across eukaryota. Chemosensing cells orient toward or away from gradient sources by polarizing along a front-rear axis. Using the mating response of budding yeast as a model of chemotropic cell polarization, we found that Dcv1, a member of the claudin superfamily, influences front-rear polarity. Although Dcv1 localized uniformly on the plasma membrane (PM) of vegetative cells, it was confined to the rear of cells responding to pheromone, away from the pheromone receptor. dcv1Δ conferred mislocalization of sensory, polarity and trafficking proteins, as well as PM lipids. These phenotypes correlated with defects in pheromone-gradient tracking and cell fusion. We propose that Dcv1 helps demarcate the mating-specific front domain primarily by restricting PM lipid distribution.

Pitfalls and Rewards of Setting Up a Liquid Biopsy Approach for the Detection of Driver Mutations in Circulating Tumor DNAs: Our Institutional Experience.

We describe our institutional experience of developing a liquid biopsy approach using circulating tumor DNA (ctDNA) analysis for personalized medicine in cancer patients, focusing on the hurdles encountered during the multistep process in order to benefit other investigators wishing to set up this type of study in their institution. Blood samples were collected at the time of cancer surgery from 209 patients with one of nine different cancer types. Extracted tumor DNA and circulating cell-free DNA were sequenced using cancer-specific panels and the Illumina MiSeq machine. Almost half of the pairs investigated were uninformative, mostly because there was no trackable pathogenic mutation detected in the original tumor. The pairs with interpretable data corresponded to 107 patients. Analysis of 48 gene sequences common to both panels was performed and revealed that about 40% of these pairs contained at least one driver mutation detected in the DNA extracted from plasma. Here, we describe the choice of our overall approach, the selection of the cancer panels, and the difficulties encountered during the multistep process, including the use of several tumor types and in the data analysis. We also describe some case reports using longitudinal samples, illustrating the potential advantages and rewards in performing ctDNA sequencing to monitor tumor burden or guide treatment for cancer patients.

Gradient tracking in mating yeast depends on Bud1 inactivation and actin-independent vesicle delivery.

The mating of budding yeast depends on chemotropism, a fundamental cellular process. Haploid yeast cells of opposite mating type signal their positions to one another through mating pheromones. We have proposed a deterministic gradient sensing model that explains how these cells orient toward their mating partners. Using the cell-cycle determined default polarity site (DS), cells assemble a gradient tracking machine (GTM) composed of signaling, polarity, and trafficking proteins. After assembly, the GTM redistributes up the gradient, aligns with the pheromone source, and triggers polarized growth toward the partner. Since positive feedback mechanisms drive polarized growth at the DS, it is unclear how the GTM is released for tracking. What prevents the GTM from triggering polarized growth at the DS? Here, we describe two mechanisms that are essential for tracking: inactivation of the Ras GTPase Bud1 and positioning of actin-independent vesicle delivery upgradient.

Phosphorylated Gß is a directional cue during yeast gradient tracking.

Budding yeast cells interpret shallow pheromone gradients from cells of the opposite mating type, polarize their growth toward the pheromone source, and fuse at the chemotropic growth site. We previously proposed a deterministic, gradient-sensing model that explains how yeast cells switch from the intrinsically positioned default polarity site (DS) to the gradient-aligned chemotropic site (CS) at the plasma membrane. Because phosphorylation of the mating-specific Gß subunit is thought to be important for this process, we developed a biosensor that bound to phosphorylated but not unphosphorylated Gß and monitored its spatiotemporal dynamics to test key predictions of our gradient-sensing model. In mating cells, the biosensor colocalized with both Gß and receptor reporters at the DS and then tracked with them to the CS. The biosensor concentrated on the leading side of the tracking Gß and receptor peaks and was the first to arrive and stop tracking at the CS. Our data showed that the concentrated localization of phosphorylated Gß correlated with the tracking direction and final position of the G protein and receptor, consistent with the idea that gradient-regulated phosphorylation and dephosphorylation of Gß contributes to gradient sensing. Cells expressing a nonphosphorylatable mutant form of Gß exhibited defects in gradient tracking, orientation toward mating partners, and mating efficiency.

Mating yeast cells use an intrinsic polarity site to assemble a pheromone-gradient tracking machine.

The mating of budding yeast depends on chemotropism, a fundamental cellular process. The two yeast mating types secrete peptide pheromones that bind to GPCRs on cells of the opposite type. Cells find and contact a partner by determining the direction of the pheromone source and polarizing their growth toward it. Actin-directed secretion to the chemotropic growth site (CS) generates a mating projection. When pheromone-stimulated cells are unable to sense a gradient, they form mating projections where they would have budded in the next cell cycle, at a position called the default polarity site (DS). Numerous models have been proposed to explain yeast gradient sensing, but none address how cells reliably switch from the intrinsically determined DS to the gradient-aligned CS, despite a weak spatial signal. Here we demonstrate that, in mating cells, the initially uniform receptor and G protein first polarize to the DS, then redistribute along the plasma membrane until they reach the CS. Our data indicate that signaling, polarity, and trafficking proteins localize to the DS during assembly of what we call the gradient tracking machine (GTM). Differential activation of the receptor triggers feedback mechanisms that bias exocytosis upgradient and endocytosis downgradient, thus enabling redistribution of the GTM toward the pheromone source. The GTM stabilizes when the receptor peak centers at the CS and the endocytic machinery surrounds it. A computational model simulates GTM tracking and stabilization and correctly predicts that its assembly at a single site contributes to mating fidelity.

Quantitative proteomics reveals a Gα/MAPK signaling hub that controls pheromone-induced cellular polarization in yeast.

The mating-specific yeast Gα controls pheromone signaling by sequestering Gßγ and by regulating the Fus3 MAP kinase. Disrupting Gα-Fus3 interaction leads to severe defects in chemotropism. Because Gα concentrates at the chemotropic growth site where Fus3 is required for the phosphorylation of two known targets, we screened for additional proteins whose phosphorylation depends on pheromone stimulation and Gα-Fus3 interaction. Using a mutant form of Gα severely defective in Fus3-binding, GαDSD, and quantitative mass spectrometry, fourteen proteins were identified as potential targets of Gα-recruited Fus3, ten of which were previously implicated in cell polarity and morphogenesis. To explore the biological relevance of these findings, we focused on the Spa2 polarisome protein, which was hypophosphorylated on multiple serine residues in pheromone-treated GαDSD cells. Six sites were mutagenized to create the Spa26XSA mutant protein. Spa26XSA exhibited increased affinity for Fus3, consistent with a kinase-substrate interaction, and Spa26XSA cells exhibited dramatic defects in gradient sensing and zygote formation. These results suggest that Gα promotes the phosphorylation of Spa2 by Fus3 at the cortex of pheromone-stimulated cells, and that this mechanism plays a role in chemotropism. How the Gα-Fus3 signaling hub affects the other putative targets identified here has yet to be determined. SIGNIFICANCE: Previously, interaction between the G alpha protein, Gpa1, and the MAPK of the pheromone response pathway, Fus3, was shown to be important for efficient sensing of the pheromone gradient and for the maintenance of cell polarity during mating. Here we show that the underlying molecular mechanisms involve the phosphorylation of specific cortical targets of Gpa1/Fus3. These have been identified by quantitative phosphoproteomics using a mutant of Gpa1, which is defective in interacting with Fus3. One of these targets is the polarisome protein Spa2. Alanine substitution of the Spa2 phosphorylation sites targeted by Gpa1/Fus3 lead to a dramatic defect in pheromone gradient sensing and zygote formation. These results reveal how the G alpha protein and the MAPK control cell polarity in a prototypical model system. Our results have wider significance as similar mechanisms exist in higher eukaryotes and are involved in important biological such as neuron development, immunity, and cancer cell metastasis.

Yeast chemotropism: A paradigm shift in chemical gradient sensing.

The ability of cells to direct their movement and growth in response to shallow chemical gradients is essential in the life cycles of all eukaryotic organisms. The signaling mechanisms underlying directional sensing in chemotactic cells have been well studied; however, relatively little is known about how chemotropic cells interpret chemical gradients. Recent studies of chemotropism in budding and fission yeast have revealed 2 quite different mechanisms-biased wandering of the polarity complex, and differential internalization of the receptor and G protein. Each of these mechanisms has been proposed to play a key role in decoding mating pheromone gradients. Here we explore how they may work together as 2 essential components of one gradient sensing machine.

Finding your inner modeler: An NSF-sponsored workshop to introduce cell biologists to modeling/computational approaches.

In classical Cell Biology, fundamental cellular processes are revealed empirically, one experiment at a time. While this approach has been enormously fruitful, our understanding of cells is far from complete. In fact, the more we know, the more keenly we perceive our ignorance of the profoundly complex and dynamic molecular systems that underlie cell structure and function. Thus, it has become apparent to many cell biologists that experimentation alone is unlikely to yield major new paradigms, and that empiricism must be combined with theory and computational approaches to yield major new discoveries. To facilitate those discoveries, three workshops will convene annually for one day in three successive summers (2017-2019) to promote the use of computational modeling by cell biologists currently unconvinced of its utility or unsure how to apply it. The first of these workshops was held at the University of Illinois, Chicago in July 2017. Organized to facilitate interactions between traditional cell biologists and computational modelers, it provided a unique educational opportunity: a primer on how cell biologists with little or no relevant experience can incorporate computational modeling into their research. Here, we report on the workshop and describe how it addressed key issues that cell biologists face when considering modeling including: (1) Is my project appropriate for modeling? (2) What kind of data do I need to model my process? (3) How do I find a modeler to help me in integrating modeling approaches into my work? And, perhaps most importantly, (4) why should I bother?

In Situ Assays of Chemotropism During Yeast Mating.

Virtually all eukaryotic cells can grow in a polarized fashion in response to external signals. Cells can respond to gradients of chemoattractants or chemorepellents by directional growth, a process referred to as chemotropism. The budding yeast Saccharomyces cerevisiae undergoes chemotropic growth during mating, in which two haploid cells of opposite mating type grow towards one another. Mating pheromone gradients are essential for efficient mating in yeast and different yeast mutants are defective in chemotropism. Two methods of assessing the ability of yeast strains to respond to pheromone gradients are presented here.

Gß promotes pheromone receptor polarization and yeast chemotropism by inhibiting receptor phosphorylation.

Gradient-directed cell migration (chemotaxis) and growth (chemotropism) are processes that are essential to the development and life cycles of all species. Cells use surface receptors to sense the shallow chemical gradients that elicit chemotaxis and chemotropism. Slight asymmetries in receptor activation are amplified by downstream signaling systems, which ultimately induce dynamic reorganization of the cytoskeleton. During the mating response of budding yeast, a model chemotropic system, the pheromone receptors on the plasma membrane polarize to the side of the cell closest to the stimulus. Although receptor polarization occurs before and independently of actin cable-dependent delivery of vesicles to the plasma membrane (directed secretion), it requires receptor internalization. Phosphorylation of pheromone receptors by yeast casein kinase 1 or 2 (Yck1/2) stimulates their internalization. We showed that the pheromone-responsive Gßγ dimer promotes the polarization of the pheromone receptor by interacting with Yck1/2 and locally inhibiting receptor phosphorylation. We also found that receptor phosphorylation is essential for chemotropism, independently of its role in inducing receptor internalization. A mathematical model supports the idea that the interaction between Gßγ and Yck1/2 results in differential phosphorylation and internalization of the pheromone receptor and accounts for its polarization before the initiation of directed secretion.

Prion-promoted phosphorylation of heterologous amyloid is coupled with ubiquitin-proteasome system inhibition and toxicity.

Many neurodegenerative diseases are associated with conversion of a soluble protein into amyloid deposits, but how this is connected to toxicity remains largely unknown. Here, we explore mechanisms of amyloid associated toxicity using yeast. [PIN(+)], the prion form of the Q/N-rich Rnq1 protein, was known to enhance aggregation of heterologous proteins, including the overexpressed Q/N-rich amyloid forming domain of Pin4 (Pin4C), and Pin4C aggregates were known to attract chaperones, including Sis1. Here we show that in [PIN(+)] but not [pin(-)] cells, overexpression of Pin4C is deadly and linked to hyperphosphorylation of aggregated Pin4C. Furthermore, Pin4C aggregation, hyperphosphorylation and toxicity are simultaneously reversed by Sis1 overexpression. Toxicity may result from proteasome overload because hyperphosphorylated Pin4C aggregation is associated with reduced degradation of a ubiquitin-protein degradation reporter. Finally, hyperphosphorylation of endogenous full-length Pin4 was also facilitated by [PIN(+)], revealing that a prion can regulate post-translational modification of another protein.

Phosphorylation of Gß is crucial for efficient chemotropism in yeast.

Mating yeast cells interpret complex pheromone gradients and polarize their growth in the direction of the closest partner. Chemotropic growth depends on both the pheromone receptor and its associated G-protein. Upon activation by the receptor, Gα dissociates from Gßγ and Gß is subsequently phosphorylated. Free Gßγ signals to the nucleus via a MAPK cascade and recruits Far1-Cdc24 to the incipient growth site. It is not clear how the cell establishes and stabilizes the axis of polarity, but this process is thought to require local signal amplification via the Gßγ-Far1-Cdc24 chemotropic complex, as well as communication between this complex and the activated receptor. Here we show that a mutant form of Gß that cannot be phosphorylated confers defects in directional sensing and chemotropic growth. Our data suggest that phosphorylation of Gß plays a role in localized signal amplification and in the dynamic communication between the receptor and the chemotropic complex, which underlie growth site selection and maintenance.

A microfluidic device that forms and redirects pheromone gradients to study chemotropism in yeast.

Chemotropism, or directed cell growth in response to a chemical gradient, is integral to many biological processes. The mating response of the budding yeast, Saccharomyces cerevisiae, is a well studied model chemotropic system. Yeast cells of opposite mating type signal their positions by secreting soluble mating pheromones. The mutual exchange of pheromones induces the cells to grow towards one another, resulting in mating projections or "shmoos." Yeast cells exhibit a remarkable ability to orient their growth toward the nearest potential mating partner, and to reorient (i.e., bend their mating projections) in response to a change in the direction of the pheromone gradient. Although a number of microfluidic devices have been used to generate linear pheromone gradients and to measure initial orientation, none of them have the capability to change the direction of the gradient, other than to invert it. We have developed a microfluidic device that can produce stable pheromone gradients and rapidly rotate them in 90° increments, mimicking the dynamic gradients yeast are exposed to in situ, and allowing for the study of reorientation as well as initial orientation. The mean angle of orientation exhibited by gradient-stimulated yeast cells in this device was 56.9°. In control experiments, cells subjected to pheromone coming from all four directions showed no evidence of orientation. Switching the direction of the pheromone source by 90° induced 83.6% of the polarized cells to change their direction of growth. Of these, 85.2% bent their mating projections toward the second source, demonstrating the utility of this device in the study of reorientation with specifically controlled gradients.

Polarization of the yeast pheromone receptor requires its internalization but not actin-dependent secretion.

In the best understood models of eukaryotic directional sensing, chemotactic cells maintain a uniform distribution of surface receptors even when responding to chemical gradients. The yeast pheromone receptor is also uniformly distributed on the plasma membrane of vegetative cells, but pheromone induces its polarization into "crescents" that cap the future mating projection. Here, we find that in pheromone-treated cells, receptor crescents are visible before detectable polarization of actin cables and that the receptor can polarize in the absence of actin-dependent directed secretion. Receptor internalization, in contrast, seems to be essential for the generation of receptor polarity, and mutations that deregulate this process confer dramatic defects in directional sensing. We also show that pheromone induces the internalization and subsequent polarization of the mating-specific Galpha and Gbeta proteins and that the changes in G protein localization depend on receptor internalization and receptor-Galpha coupling. Our data suggest that the polarization of the receptor and its G protein precedes actin polarization and is important for gradient sensing. We propose that the establishment of receptor/G protein polarity depends on a novel mechanism involving differential internalization and that this serves to amplify the shallow gradient of activated receptor across the cell.

Dse1 may control cross talk between the pheromone and filamentation pathways in yeast.

The filamentous/invasive growth pathway is activated by nutrient limitation in the haploid form of the yeast Saccharomyces cerevisiae, whereas exposure to mating-pheromone causes cells to differentiate into gametes. Although these two pathways respond to very different stimuli and generate very different responses, they utilize many of the same signaling components. This implies the need for robust mechanisms to maintain signal fidelity. Dse1 was identified in an allele-specific suppressor screen for proteins that interact with the pheromone-responsive Gbetagamma, and found to bind both to a Gbetagamma-affinity column, and to the shared MEKK, Ste11. Although overexpression of Dse1 stimulated invasive growth and transcription of both filamentation and mating-specific transcriptional reporters, deletion of DSE1 had no effect on these outputs. In contrast, pheromone hyper-induced transcription of the filamentation reporter in cells lacking Dse1 and in cells expressing a mutant form of Gbeta that exhibits diminished interaction with Dse1. Thus, the interaction of Dse1 with both Gbeta and Ste11 may be designed to control cross talk between the pheromone and filamentation pathways.

The mating-specific Galpha interacts with a kinesin-14 and regulates pheromone-induced nuclear migration in budding yeast.

As a budding yeast cell elongates toward its mating partner, cytoplasmic microtubules connect the nucleus to the cell cortex at the growth tip. The Kar3 kinesin-like motor protein is then thought to stimulate plus-end depolymerization of these microtubules, thus drawing the nucleus closer to the site where cell fusion and karyogamy will occur. Here, we show that pheromone stimulates a microtubule-independent interaction between Kar3 and the mating-specific Galpha protein Gpa1 and that Gpa1 affects both microtubule orientation and cortical contact. The membrane localization of Gpa1 was found to polarize early in the mating response, at about the same time that the microtubules begin to attach to the incipient growth site. In the absence of Gpa1, microtubules lose contact with the cortex upon shrinking and Kar3 is improperly localized, suggesting that Gpa1 is a cortical anchor for Kar3. We infer that Gpa1 serves as a positional determinant for Kar3-bound microtubule plus ends during mating.

The pheromone-induced nuclear accumulation of the Fus3 MAPK in yeast depends on its phosphorylation state and on Dig1 and Dig2.

BACKGROUND: Like mammalian MAP kinases, the mating-specific Fus3 MAPK of yeast accumulates in the nuclei of stimulated cells. Because Fus3 does not appear to be subjected to active nucleo-cytoplasmic transport, it is not clear how its activation by mating pheromone effects the observed change in its localization. One possibility is that the activation of Fus3 changes its affinity for nuclear and cytoplasmic tethers. RESULTS: Dig1, Dig2, and Ste12 are nuclear proteins that interact with Fus3. We found that the pheromone-induced nuclear accumulation of a Fus3-GFP reporter is reduced in cells lacking Dig1 or Dig2, whereas Fus3T180AY182A-GFP localization was unaffected by the absence of these proteins. This suggests that Dig1 and Dig2 contribute to the retention of phosphorylated Fus3 in the nucleus. Moreover, overexpression of Ste12 caused the hyper-accumulation of Fus3-GFP (but not Fus3T180AY182A-GFP) in the nuclei of pheromone-treated cells, suggesting that Ste12 also plays a role in the nuclear retention of phosphorylated Fus3, either by directly interacting with it or by transcribing genes whose protein products are Fus3 tethers. We have previously reported that overexpression of the Msg5 phosphatase inhibits the nuclear localization of Fus3. Here we show that this effect depends on the phosphatase activity of Msg5, and provide evidence that both nuclear and cytoplasmic Msg5 can affect the localization of Fus3. CONCLUSION: Our data are consistent with a model in which the pheromone-induced phosphorylation of Fus3 increases its affinity for nuclear tethers, which contributes to its nuclear accumulation and is antagonized by Msg5.

Differential phosphoproteome profiling by affinity capture and tandem matrix-assisted laser desorption/ionization mass spectrometry.

Protein phosphorylation is a ubiquitous post-translational modification that affects a significant subset of the proteome and plays an especially important role in signal transduction and cell cycle control in eukaryotic organisms. Recently developed methods that couple multidimensional liquid chromatography to electrospray mass spectrometers can be used to analyze entire phosphoproteomes. However, they require considerable investments and technical skills that are only available in a few highly specialized laboratories. These methods also appear to be biased. Statistical analyses show that peptides from abundant proteins and multiply phosphorylated peptides are disproportionately identified. We describe an economic alternative that utilizes a phospho-affinity step to isolate the intact phosphoproteins. These are subsequently characterized by electrophoresis and identified by direct de novo sequencing using tandem mass spectrometry. We applied this technique to probe signal-induced changes in the phosphoproteome of human U937 cells, and found that the pools of two cancer-related phosphoproteins implicated in intracellular hormones signaling are dramatically altered in the course of monocyte to macrophage differentiation.

Gbetagamma recruits Rho1 to the site of polarized growth during mating in budding yeast.

In mating mixtures of Saccharomyces cerevisiae, cells polarize their growth toward their conjugation partners along a pheromone gradient. This chemotropic phenomenon is mediated by structural proteins such as Far1 and Bem1 and by signaling proteins such as Cdc24, Cdc42, and Gbetagamma. The Gbetagamma subunit is thought to provide a positional cue that recruits the polarity establishment proteins, and thereby induces polarization of the actin cytoskeleton. We identified RHO1 in a screen for allele-specific high-copy suppressors of Gbetagamma overexpression, suggesting that Rho1 binds Gbetagamma in vivo. Inactivation of Rho1 GTPase activity augmented the rescue phenotype, suggesting that it is the activated form of Rho1 that binds Gbetagamma. We also found, in a pull-down assay, that Rho1 associates with GST-Ste4 and that Rho1 is localized to the neck and tip of mating projections. Moreover, a mutation in STE4 that disrupts Gbetagamma-Rho1 interaction reduces the projection tip localization of Rho1 and compromises the integrity of pheromone-treated cells deficient in Rho1 activity. In addition to its roles as a positive regulator of 1,3-beta-glucan synthase and of the cell integrity MAP kinase cascade, it was recently shown that Rho1 is necessary for the formation of mating projections. Together, these results suggest that Gbetagamma recruits Rho1 to the site of polarized growth during mating.