Dynamics of CDKN1A in Single Cells Defined by an Endogenous Fluorescent Tagging Toolkit

SummaryObserving the endogenous abundance, localization, and dynamics of proteins in mammalian cells is crucial to understanding their function and behavior. Currently, there is no systematic approach for the fluorescent tagging of endogenous loci. Here, we used Cas9-catalyzed DNA breaks, short homology arms, and a family of donor plasmids to establish endogenous Fluorescent tagging (eFlut): a low-cost and efficient approach to generating endogenous proteins with fluorescent labels. We validated this protocol on multiple proteins in several cell lines and species and applied our tools to study the cell-cycle inhibitor CDKN1A in single cells. We uncover heterogeneity in the timing and rate of CDKN1A induction post-DNA damage and show that this variability is post-transcriptionally regulated, depends on cell-cycle position, and has long-term consequences for cellular proliferation. The tools developed in this study should support widespread study of the dynamics and localization of diverse proteins in mammalian cells

Dimensionality and the Stress/Growth Axis of Gene Expression in S. cerevisiae

To thrive in different circumstances cells tightly regulate and tune gene expression to optimize their protein complement to the environment. Understanding and manipulating this regulation is an apparently intractable goal as even budding yeast has more than 6000 genes. Even from the perspective of the organism, achieving precise control over the expression of every gene would amount to an enormous and perhaps impossible burden. Instead organisms regulate genes in large groups, activating suites of genes required for stress resistance or growth on alternative carbon sources. In this work we show that by measuring gene expression in single cells in high throughput using yeast genetics and the GFP library it is possible to define expression `regulons' which describe the functional arrangement of the budding yeast exome. From this analysis we focused on one particular axis of gene expression which regulates the transition from growth to stress resistance and is regulated by the Protein Kinase A (PKA) pathway. We show that the PKA and two of the transcription factors it regulates, Msn2/4, respond in a graded manner to a range of stresses and that demonstrate that this graded response is due to negative feedback regulation in the PKA network and unsaturated non-cooperative association of Msn2/4 with its target promoters. These features allows for co-linear activation of target genes, maintaining stoichiometry within the Msn2/4-responsive program across a wide range of conditions. In addition, we find that under different environmental conditions PKA shows distinct dynamic behaviors at the single cell level ranging from steady state activation to pseudo-oscillatory regimes. We observe that Msn2 faithfully follows these dynamics, whereas other PKA regulated transcription factors do not, suggesting a mechanism by which the PKA regulatory circuit may specifically activate subsets of regulated genes in response to different conditions

p53 Promotes Cytokine Expression in Melanoma to Regulate Drug Resistance and Migration

The transcription factor p53 is frequently lost during tumor development in solid tumors; however, most melanomas retain a wild type p53 protein. The presence of wild type p53 in melanoma has fueled speculation that p53 may play a neutral or pro-tumorigenic role in this disease. Here we show that p53 is functional in human melanoma cell lines, and that loss of p53 results in a general reduction in basal NF-kB regulated cytokine production. The reduced cytokine expression triggered by p53 loss is broad and includes key inflammatory chemokines, such as CXCL1, CXCL8, and the IL6 class cytokine LIF, resulting in a reduced ability to induce chemotactic-dependent migration of tumor cells and immune cells and increased sensitivity to BRAF inhibition. Taken together, this result indicates that wild type p53 regulates cytokine expression and induces cytokine-dependent phenotype on melanoma

Formation of Subnuclear Foci Is a Unique Spatial Behavior of Mating MAPKs during Hyperosmotic Stress

The assembly of signaling components and transcription factors in ordered subcellular structures is increasingly implicated as an important regulatory strategy for modulating the activity of cellular pathways. Here, we document the inducible formation of subnuclear foci formed by two mitogen-activated protein kinases (MAPKs) in Saccharomyces cerevisiae upon hyperosmotic stress. Specifically, we demonstrate that activation of the hyperosmotic stress response pathway induces the mating pathway MAPK Fus3 and the filamentation pathway MAPK Kss1 to form foci in the nucleus that are organized by their shared downstream transcription factor Ste12. Foci formation of colocalized Ste12, Fus3, and Kss1 requires the kinase activity of the hyperosmotic response MAPK Hog1 and correlates with attenuated signaling in the mating pathway. Conversely, activation of the mating pathway prevents foci formation upon subsequent hyperosmotic stress. These results suggest that Hog1-mediated spatial localization of Fus3 and Ste12 into subnuclear foci could contribute to uncoupling the pheromone and osmolarity pathways, which share signaling components, under high-osmolarity conditions

Msn2 coordinates a stoichiometric gene expression program.

BackgroundMany cellular processes operate in an "analog" regime in which the magnitude of the response is precisely tailored to the intensity of the stimulus. In order to maintain the coherence of such responses, the cell must provide for proportional expression of multiple target genes across a wide dynamic range of induction states. Our understanding of the strategies used to achieve graded gene regulation is limited.ResultsIn this work, we document a relationship between stress-responsive gene expression and the transcription factor Msn2 that is graded over a large range of Msn2 concentrations. We use computational modeling and in vivo and in vitro analyses to dissect the roots of this relationship. Our studies reveal a simple and general strategy based on noncooperative low-affinity interactions between Msn2 and its cognate binding sites as well as competition over a large number of Msn2 binding sites in the genome relative to the number of Msn2 molecules.ConclusionsIn addition to enabling precise tuning of gene expression to the state of the environment, this strategy ensures colinear activation of target genes, allowing for stoichiometric expression of large groups of genes without extensive promoter tuning. Furthermore, such a strategy enables precise modulation of the activity of any given promoter by addition of binding sites without altering the qualitative relationship between different genes in a regulon. This feature renders a given regulon highly "evolvable.

Using Dynamic Noise Propagation to Infer Causal Regulatory Relationships in Biochemical Networks

Cellular decision making is accomplished by complex networks, the structure of which has traditionally been inferred from mean gene expression data. In addition to mean data, quantitative measures of distributions across a population can be obtained using techniques such as flow cytometry that measure expression in single cells. The resulting distributions, which reflect a population’s variability or noise, constitute a potentially rich source of information for network reconstruction. A significant portion of molecular noise in a biological process is propagated from the upstream regulators. This propagated component provides additional information about causal network connections. Here, we devise a procedure in which we exploit equations for dynamic noise propagation in a network under nonsteady state conditions to distinguish between alternate gene regulatory relationships. We test our approach <i>in silico</i> using data obtained from stochastic simulations as well as <i>in vivo</i> using experimental data collected from synthetic circuits constructed in yeast

Optogenetic Control Reveals Differential Promoter Interpretation of Transcription Factor Nuclear Translocation Dynamics

Gene expression is thought to be affected not only by the concentration of transcription factors (TFs) but also the dynamics of their nuclear translocation. Testing this hypothesis requires direct control of TF dynamics. Here, we engineer CLASP, an optogenetic tool for rapid and tunable translocation of a TF of interest. Using CLASP fused to Crz1, we observe that, for the same integrated concentration of nuclear TF over time, changing input dynamics changes target gene expression: pulsatile inputs yield higher expression than continuous inputs, or vice versa, depending on the target gene. Computational modeling reveals that a dose-response saturating at low TF input can yield higher gene expression for pulsatile versus continuous input, and that multi-state promoter activation can yield the opposite behavior. Our integrated tool development and modeling approach characterize promoter responses to Crz1 nuclear translocation dynamics, extracting quantitative features that may help explain the differential expression of target genes

Model-guided optogenetic study of PKA signaling in budding yeast

In eukaryotes, protein kinase A (PKA) is a master regulator of cell proliferation and survival. The activity of PKA is subject to elaborate control and exhibits complex time dynamics. To probe the quantitative attributes of PKA dynamics in the yeast Saccharomyces cerevisiae, we developed an optogenetic strategy that uses a photoactivatable adenylate cyclase to achieve real-time regulation of cAMP and the PKA pathway. We capitalize on the precise and rapid control afforded by this optogenetic tool, together with quantitative computational modeling, to study the properties of feedback in the PKA signaling network and dissect the nonintuitive dynamic effects that ensue from perturbing its components. Our analyses reveal that negative feedback channeled through the Ras1/2 GTPase is delayed, pinpointing its time scale and its contribution to the dynamic features of the cAMP/PKA signaling network

Acetylation-mediated remodeling of the nucleolus regulates cellular acetyl-CoA responses.

The metabolite acetyl-coenzyme A (acetyl-CoA) serves as an essential element for a wide range of cellular functions including adenosine triphosphate (ATP) production, lipid synthesis, and protein acetylation. Intracellular acetyl-CoA concentrations are associated with nutrient availability, but the mechanisms by which a cell responds to fluctuations in acetyl-CoA levels remain elusive. Here, we generate a cell system to selectively manipulate the nucleo-cytoplasmic levels of acetyl-CoA using clustered regularly interspaced short palindromic repeat (CRISPR)-mediated gene editing and acetate supplementation of the culture media. Using this system and quantitative omics analyses, we demonstrate that acetyl-CoA depletion alters the integrity of the nucleolus, impairing ribosomal RNA synthesis and evoking the ribosomal protein-dependent activation of p53. This nucleolar remodeling appears to be mediated through the class IIa histone deacetylases (HDACs). Our findings highlight acetylation-mediated control of the nucleolus as an important hub linking acetyl-CoA fluctuations to cellular stress responses