Browsing by Author "Hauf, Silke"
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- Analysis of TpeL secretion in Clostridium perfringensSaadat, Angela P. (Virginia Tech, 2021-01-11)Clostridia are a class of gram-positive, anaerobic bacteria best known for their powerful toxins. These bacteria cause many diseases that are difficult to treat and often deadly, including colitis, botulism, tetanus and gas gangrene. These diseases are caused by the secretion of specific toxins, though current treatments do little to nullify these toxins and better therapeutics are urgently needed. The development of such treatments is hindered by our poor understanding of clostridial toxin secretion, which is itself hindered by the innate characteristics of these bacteria that make them difficult to study. Of the pathogenic clostridia, Clostridium perfringens is relatively easy to culture and straddles the line between pathogen and commensal, making it an attractive model organism for studying clostridial toxin secretion. C. perfringens is a bacterium found naturally in soils and in the gastrointestinal tracts of humans and animals that can also cause disease. C. perfringens produces more toxins than any other bacterium, and these toxins generally function as a means to lyse host cells so the bacteria may scavenge their intracellular nutrients. The primary focus of the research in this dissertation is the secretion of the toxin TpeL by a small membrane protein, TpeE. Preceding the study of TpeL secretion were two other projects, which are discussed in Chapters 2 and 3. Chapter 2 describes an experimental plan to characterize the genes involved in muscle cell adherence as a very basic model to mimic skeletal muscle attachment in gas gangrene. Like many other bacteria, C. perfringens can produce T4P, extracellular filaments that are synthesized, extended and retracted from the cell by the concerted effort of many proteins. Results from initial, proof-of-concept adherence assays are presented and demonstrate that statistical significance was lost when data were compiled. Despite efforts to troubleshoot this, robust test output was not achieved and the project was discontinued November 2016. Chapter 3 describes the experimental plan and initial findings of a project where a link between T4P and virulence was investigated. Such a link had been demonstrated in the T4P model organism Pseudomonas aeruginosa, where PilT, the T4P retraction ATPase, was shown to sense surface attachment and initiate virulence. In C. perfringens, PilT demonstrates a number of characteristics that lead us to think it may also function as a sensor, coordinating host cell attachment and colonization by alternatively associating with PilM and FtsA. We developed an experimental plan to determine if PilT binds both PilM and FtsA by co-immunoprecipitation with live-cell fluorescence imaging. However, we were unable to demonstrate the functionality of a PilT-fluorescent protein fusion with an anti-pilin ELISA assay, nor were we able to detect PilT or FtsA overexpression by immunoblotting, and the project was discontinued in November 2017. In retrospect, these experiments likely failed because of an inactive promoter region in the overexpression plasmid. Though clostridial diseases require secreted toxins, their secretion mechanisms are largely uncharacterized, and Chapter 4 describes the investigation of a potentially conserved toxin secretion mechanism. TpeL is a recently discovered C. perfringens toxin that is associated with chicken necrotic enteritis, a disease that costs the poultry industry billions of dollars each year. TpeL belongs to a subset of clostridial toxins characterized by their large size and conserved structure, the large clostridial toxins. The gene for tpeL and nearly all other large clostridial toxins lies next to a gene encoding a small membrane protein. Since bacterial genes with a shared function are often found in close proximity, it is suspected that these small proteins share some function with these toxins, and another research group has shown the two large clostridial toxins in C. difficile need this small membrane protein for their secretion. We isolated the small membrane protein and toxin genes tpeE and tpeL from native regulatory elements and overexpressed them heterologously in a different strain of C. perfringens. By immunoblotting, we found rapid TpeL secretion requires TpeE, and secretion was abolished when C-terminal sections of either protein were mutated. By immunoblotting and growth curve analyses, we found that TpeE is maintained at low concentrations and is not lethal in C. perfringens, but was expressed to high levels and was lethal in Escherichia coli. Our results, in conjunction with those from other research groups strongly suggest a conserved secretion mechanism dependent on small, membrane proteins. Our findings further the understanding of toxin secretion, a key step toward novel and effective clostridial disease strategies. Chapter 5 describes the outcome of an experimental approach where tpeE and tpeL were expressed from two different expression system plasmids. A number of off-target effects materialized with this approach which confounded our experimental results. The predominantly confounding effect was off-target protein secretion, found by immunoblotting to be associated with one of the expression systems. Despite efforts to minimize these effects, it became clear results from this approach would be uninterpretable and the two-plasmid approach for TpeE and TpeL expression was abandoned. A cut-and-paste strategy using the historical, single inducible expression system was implemented in its place. The exact mechanism for TpeL secretion by the small membrane protein TpeE is unclear. Chapter 6 outlines some hypotheses towards this mechanism and a nascent plan to uncover it. An efficient starting point is to determine if the two proteins are in close enough proximity to one another to interact in vivo. We developed a strategy to determine this by crosslinking and immunoblotting, using the size differential between the proteins to our advantage. Though the results of this study were confounded by an inability of TpeL to solubilize in buffer, the groundwork is laid for future endeavors.
- Cdc48 influence on separase levels is independent of mitosis and suggests translational sensitivity of separaseVijayakumari, Drisya; Mueller, Janina; Hauf, Silke (Cell Press, 2022-03-22)Cdc48 (p97/VCP) is a AAA-ATPase that can extract ubiquitinated proteins from their binding partners and can cooperate with the proteasome for their degradation. A fission yeast cdc48 mutant (cdc48-353) shows low levels of the cohesin protease, separase, and pronounced chromosome segregation defects in mitosis. Separase initiates chromosome segregation when its binding partner securin is ubiquitinated and degraded. The low separase levels in the cdc48-353 mutant have been attributed to a failure to extract ubiquitinated securin from separase, resulting in co-degradation of separase along with securin. If true, Cdc48 would be important in mitosis. In contrast, we show here that low separase levels in the cdc48-353 mutant are independent of mitosis. Moreover, we find no evidence of enhanced separase degradation in the mutant. Instead, we suggest that the cdc48-353 mutant uncovers specific requirements for separase translation. Our results highlight a need to better understand how this key mitotic enzyme is synthesized.
- Cell Cycle: Micromanaging checkpoint proteinsCiliberto, Andrea; Hauf, Silke (2017-02-16)The kinase Mps1, long known to be the ‘boss’ in mitotic checkpoint signaling, phosphorylates multiple proteins in the checkpoint signaling cascade.
- The Cell Membrane Proteome of the SKBR3/HER2+ Cells and Implications for Cancer Targeted TherapiesKarcini, Arba (Virginia Tech, 2023-06-02)Breast cancer is the second most common type of cancer among women in the US and the second leading cause of cancer death. HER2+ breast cancers represent ~20% of all cancer types, are highly invasive, and can be treated by using targeted therapies against the HER2 receptor. However, these therapies are challenged by the development of drug resistance, often induced by the presence of mutations in the cell-membrane proteins and receptors and/or by alternative signaling pathways that cross-talk with- or transactivate HER2+ triggered signaling. This study was aimed at investigating the cell membrane proteome of SKBR3 cells, representative of HER2+ breast cancers, and the signaling landscape and cellular responses elicited by the cell membrane receptors when the cells are stimulated with either growth factors or therapeutic drugs. It was hypothesized that the identification of a broad range of cell membrane proteins with roles in cancer progression and signaling crosstalk will lead to a more comprehensive understanding of the biological processes that sustain the proliferation of cancer cells, and will guide the selection of more efficient drug targets. The project was conceptualized in three stages: (1) profiling the cell membrane proteins of SKBR3 cells, (2) determining the functional role of the detected cell membrane proteins in the context of cancer hallmarks and exploring their mutational profile, and (3) analyzing the cellular events that occur in response to treatment with a single therapeutic agent or a combination of drugs. Mass spectrometry technologies were used for performing proteomic and phosphoproteomic profiling of SKBR3 cells, detecting changes in the abundance of the detected proteins, and identifying the presence of mutations in the cell membrane proteins. Orthogonal enrichment methods were developed for profiling the low-abundance cell membrane proteins, for generating a rich landscape of cell membrane receptors with various functional roles and relevance to the cancer hallmarks, and for enabling the detection of potentially new drivers of aberrant proliferation. The analysis of serum-starved, stimulated (with growth factors), or inhibited (with kinase inhibitors) cells revealed alternative protein players and crosstalk activities that determine the fate of cells, and that may fuel the development of resistance to treatment with drugs. The proteome profiles that were generated in this project expand the opportunities for targeting cancer-relevant processes beyond proliferation, which is commonly attempted, broadening the landscape to also include apoptosis, invasion, and metastasis. Altogether, the findings that emerged from this work will lay the ground for future studies that aim at developing more complex and effective targeted cancer treatment approaches.
- Evaluating the role of the fission yeast cyclin B Cdc13 in cell size homeostasisRogers, Jessie Michaela (Virginia Tech, 2021-06-15)Most cellular proteins retain a stable concentration as cells grow and divide, but there are exceptions. Some cell cycle regulators change in concentration with cell size. In fission yeast, Cdc13 (cyclin B), an important activator of the core cell cycle kinase Cdc2 (CDK1), increases in concentration as cells grow. It has been proposed that the concentration of such cell cycle regulators serves as a proxy for cell size and makes cell cycle progression dependent on cell size, thereby contributing to cell size homeostasis. The underlying mechanisms for the size-dependent scaling of these cell cycle regulators are poorly understood. Here, I show that Cdc13 protein concentration, but not mRNA concentration, increases with cell size. Furthermore, only the nuclear, but not the cytoplasmic, fraction of Cdc13 increases in concentration as cell size increases. Computational modeling along with half-life measurements suggests that stabilization of Cdc13 in the nucleus plays an important role in establishing this pattern. Taken together, my results suggest that Cdc13 scales with time, and therefore only indirectly—not directly—with cell size. This leaves open the possibility that Cdc13 contributes to cell size homeostasis, but in a different way than originally proposed.
- The evolution of centrosome and chromosome number in newly formed tetraploid human cellsBaudoin, Nicolaas C. (Virginia Tech, 2020-06-22)Tetraploidy – the presence of four copies of the haploid chromosome complement – is common in cancer. There is evidence that ~40% of tumors pass through a tetraploid stage at some point during their development, and tetraploid cells injected in mice are more tumorigenic than their diploid counterparts. However, the reason for this increased tumorigenicity of tetraploid cells is not well established. Most routes by which cells may become tetraploid also confer cells with double the number of centrosomes, the small membraneless organelle that organizes the cell's microtubule cytoskeleton and mitotic spindle apparatus. Centrosome number homeostasis is crucial for health, and recent studies have shown inducing extra centrosomes in cells can induce tumor formation in mice. This has led some researchers to propose that the extra centrosomes that arise together with tetraploidy may be the reason that tetraploid cells are more tumorigenic. However, several anecdotal reports have found that tetraploid clones generated and grown in vitro appear to lose their extra centrosomes. Here, I investigate the population dynamics of the loss of extra centrosomes in newly formed tetraploid cells generated via cytokinesis failure. I uncover the mechanism driving the process and build a mathematical model that captures the experimentally observed dynamics. Next, I investigate karyotypic heterogeneity in newly formed tetraploid cells and their counterparts that are grown for 12 days under standard culture conditions and find that karyotypic heterogeneity has increased after 12 days of growth after tetraploidization. The day 12 'evolved' population with increased heterogeneity formed larger colonies in soft agar than newly formed tetraploid cells or diploid parental precursors and karyotype analysis of the largest soft agar colonies revealed recurrent aneuploidies shared by a subset of colonies. Finally, I investigate the effects of different culture conditions - meant to mimic various conditions in the tumor microenvironment - on the evolution of centrosome and chromosome number in newly formed tetraploid cells and identify a small subset of conditions that altered centrosome homeostasis or the fitness of tetraploid cells.
- Image Analysis for Sliding Motility of Clostridium perfringensChopdekar, Nidhi (Virginia Tech, 2024-05-07)The research investigates the sliding motility of Clostridium perfringens by employing machine learning-based image segmentation techniques and tracking to extract key quantitative characteristics of the movement of the bacteria. C. perfringens cells maintain end-to-end connections after cell divisions and form elongated chains that expand in a one-dimensional fashion. Cells in the elongating chains are pushed by each other to achieve a sliding movement at potentially high speeds. However, these chains are susceptible to breakage due to stress accumulation from rapid growth, which would undermine efficiency of the passive sliding motility. Utilizing AI-powered image analysis, this research aims to obtain detailed quantification of these dynamics and generate data for future mechanistic studies of the sliding motility. Results from this work highlight the effectiveness of machine learning in detecting individual cells from microscopy images. The accurately segmented cells enable enhanced tracking and detailed analysis of bacterial motility. The results generate useful quantitative data such as growth rate, velocity, and division frequency of C. perfringens.
- Implications of alternative routes to APC/C inhibition by the mitotic checkpoint complexGross, Fridolin; Bonaiuti, Paolo; Hauf, Silke; Ciliberto, Andrea (PLOS, 2018-09-10)The mitotic checkpoint (also called spindle assembly checkpoint) is a signaling pathway that ensures faithful chromosome segregation. Mitotic checkpoint proteins inhibit the anaphase-promoting complex (APC/C) and its activator Cdc20 to prevent precocious anaphase. Checkpoint signaling leads to a complex of APC/C, Cdc20, and checkpoint proteins, in which the APC/C is inactive. In principle, this final product of the mitotic checkpoint can be obtained via different pathways, whose relevance still needs to be fully ascertained experimentally. Here, we use mathematical models to compare the implications on checkpoint response of the possible pathways leading to APC/C inhibition. We identify a previously unrecognized funneling effect for Cdc20, which favors Cdc20 incorporation into the inhibitory complex and therefore promotes checkpoint activity. Furthermore, we find that the presence or absence of one specific assembly reaction determines whether the checkpoint remains functional at elevated levels of Cdc20, which can occur in cancer cells. Our results reveal the inhibitory logics behind checkpoint activity, predict checkpoint efficiency in perturbed situations, and could inform molecular strategies to treat malignancies that exhibit Cdc20 overexpression.
- Investigating aneuploidy's role in cancer cell fitness under various conditions of stressRutledge, Samuel Drew (Virginia Tech, 2015-08-14)The gain or loss of whole chromosomes, known as aneuploidy, is a distinguishing feature of cancer cells. The rapid gain or loss of hundreds of genes dramatically alters a cell's genomic landscape and is typically detrimental to cell survival under normal conditions. However, cancer cells display enhanced proliferation and overcome multiple conditions of stress, suggesting aneuploidy may increase cellular fitness. Furthermore, distinct patterns of aneuploidy are found in cancers from different anatomical sites. Despite these observations, scant research has sought to examine the role of aneuploidy in cancer, or determine whether aneuploidy is a driver or passenger mutation, or why certain aneuploidies appear to be selected for and others against. To investigate the role of aneuploidy in cancer cell fitness, we utilized the diploid colorectal cancer (CRC) cell line DLD1 and two trisomic variants carrying an extra copy of either chromosome 7 or chromosome 13, two trisomies frequently seen in colorectal cancer. To assess fitness, we compared proliferation, anchorage-independence, and invasiveness in aneuploid CRC cells versus their diploid counterpart when grown under various culture conditions, including regular media, serum-free media, cytotoxic drug-containing media, and hypoxia. We found that aneuploid cells proliferated better than diploid cells under all but standard culture conditions. Moreover, regardless of growth condition, we found that aneuploid CRC cells formed larger and more numerous colonies in soft agar (anchorage-independent growth), and displayed greater invasiveness (assessed by matrigel invasion assay). Taken together, these results indicate that aneuploidy enhances the fitness of CRC cells under stressful conditions that are likely to occur in the tumor microenvironment.
- Investigating the cellular toxicology of silver nanoparticles using a single-cell, mitosis-focused approachGarcia, Ellen Brook (Virginia Tech, 2021-01-26)Proper cell division is a fundamental process for the development and sustainability of healthy living organisms. Defective cell division can have deleterious effects on tissue homeostasis and can represent the first step towards disease development. The overall goal of this work was to develop and validate a new, mitosis-based, single-cell toxicity approach. This contributes to the current need of toxicology research to replace animal testing with predictive in vitro models. Cell division-based assays would be better at predicting risk than other commonly used in vitro measurements, such as persistent cell cycle arrest or cell death. Finally, single-cell microscopic analysis provides far deeper insight into the underlying toxicity mechanism(s) than bulk cell population measurements. To meet our goal, we investigated the toxicity of silver nanoparticles (AgNPs) on immortalized human retinal pigmented epithelial (RPE-1) cells. AgNPs are a major nanomaterial employed in product manufacturing due to desirable antimicrobial properties, yet toxicity reports are still confounding. RPE-1 cells were cultured in the presence of low and high doses of polyvinylpyrrolidone (PVP)-coated AgNPs for a single 24-hour treatment (acute treatment), for six 24-hour treatments administered over a period of 3 weeks (moderate treatment), or for twelve 24-hour treatments administered over a period of 6 weeks (chronic treatment). Time-lapse, phase-contrast microscopy of acutely treated cells showed that 100% of cells engulfed AgNPs, which was further confirmed by electron microscopy. Moreover, we found that higher concentrations of AgNPs resulted in large numbers of acutely treated cells becoming arrested in mitosis, dying, or dividing abnormally. In contrast, untreated cells displayed normal mitotic behavior. High-resolution fluorescence microscopy performed in treated cell populations identified an increased percentage of abnormal nuclear morphologies compared to the untreated cells. Further live-cell analysis indicated that treated cells failed cytokinesis or slipped out of mitosis more often than untreated cells. Overall, our results indicate that AgNPs impair cell division, not only further confirming toxicity to human cells, but also revealing previously unreported toxicity mechanisms and highlighting the propagation of adverse phenotypes within the cell population after exposure. Furthermore, this work illustrates that cell division-based single-cell analysis could provide an alternative to animal experimentation in the future.
- Lignocellulosic fermentation of Saccharomyces cerevisiae to produce medium chain fatty alcoholsBland, Katherine Elizabeth (Virginia Tech, 2018-03-30)The effects of climate change have made the need to develop sustainable production practices for biofuels and other chemicals imminent. The development of the green economy has also led to many industries voluntarily improving the sustainability of the products they produce. The microbial production of fatty acid-derived chemicals allows for the opportunity to reduce petroleum-based chemicals in the marketplace. However, for microbial produced chemicals to be industrially competitive, significant work is needed to improve the production capacity of industrial strains. There are a number of bottlenecks and challenges related to the production of various fatty acid derivatives that need to be addressed. One of these key challenges relates to the source of the fermentation feedstock. While sources such as corn or sugar cane are currently common, these feedstocks compete with food supply and require nutrient-rich soils. The use of lignocellulosic feedstocks is preferred to combat this issue, however these feedstocks present their own unique challenges. Pretreatment is required to release fermentable sugars, and this process also results in various fermentation inhibitors released into the solution. A better understanding of how engineered strains utilize these fermentable sugars as well as improving resistance to the inhibitors will help to improve the chemical production capacity of these chemical products. This work will focus on describing key bottlenecks related to fatty acid-derived products, while also evaluating proposed solutions to these bottlenecks.
- Mathematical Modeling of Circadian Gene Expression in Mammalian CellsYao, Xiangyu (Virginia Tech, 2023-06-28)Circadian rhythms in mammals are self-sustained repeating activities driven by the circadian gene expression in cells, which is regulated at both transcriptional and posttranscriptional stages. In this work, we first used mathematical modeling to investigate the transcriptional regulation of circadian gene expression, with a focus on the mechanisms of robust genetic oscillations in the mammalian circadian core clock. Secondly, we built a coarse-grained model to study the post-transcriptional regulation of the rhythmicities of poly(A) tail length observed in hundreds of mRNAs in mouse liver. Lastly, we examined the application of Sobol indices, which is a global sensitivity analysis method, to mathematical models of biological oscillation systems, and proposed two methods tailored for the calculation of circular Sobol indices. In the first project, we modified the core negative feedback loop in a mathematical model of the mammalian genetic oscillator so that the unrealistic tight binding between the repressor PER and the activator BMAL1 is relaxed for robust oscillations. By studying the modified extended models, we found that the auxiliary positive feedback loop, rather than the auxiliary negative feedback loop, makes the oscillations more robust, yet they are similar when accounting for circadian rhythms (~24h period). In the second project, we investigated the regulation of rhythmicities in poly(A) tail length by four coupled rhythmic processes, which are transcription, deadenylation, polyadenylation, and degradation. We found that rhythmic deadenylation is the strongest contributor to the rhythmicity in poly(A) tail length and the rhythmicity in the abundance of the mRNA subpopulation with long poly(A) tails. In line with this finding, the model further showed that the experimentally observed distinct peak phases in the expression of deadenylases, regardless of other rhythmic controls, can robustly cluster the rhythmic mRNAs by their peak phases in poly(A) tail length and abundance of the long-tailed subpopulation. In the last project, we reviewed the theoretical basis of Sobol indices and identified potential problems when it is applied to mathematical models of biological oscillation systems. Based on circular statistics, we proposed two methods for the calculation of circular Sobol indices and compared their performance with the original Sobol indices in several models. We found that though the relative rankings of the contribution from parameters are the same across three methods, circular Sobol indices can better quantitatively distinguish the contribution of individual parameters. Through this work, we showed that mathematical modeling combined with sensitivity analysis can help us understand the mechanisms underlying the circadian gene expression in mammalian cells. Also, testable predictions are made for future experiments and new ideas are provided that can enable potential chronopharmacology research.
- Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiaeJalihal, Amogh Prabhav (Virginia Tech, 2020-07-08)In eukaryotes, distinct nutrient signals are integrated in order to produce robust cellular responses to fluctuations in the environment. This process of signal integration is attributed to the crosstalk between nutrient specific signaling pathways, as well as the large degree of overlap between their regulatory targets. In the budding yeast Saccharomyces cerevisiae, these distinct pathways have been well characterized. However, the significant overlap between these pathways confounds the interpretation of the overall regulatory logic in terms of nutrient-dependent cell state determination. Here, we propose a literature-curated molecular mechanism of the integrated nutrient signaling pathway in budding yeast, focussing on carbon and nitrogen signaling. We build a computational model of this pathway to reconcile the available experimental data with our proposed molecular mechanism. We evaluate the robustness of the model fit to data with respect to the variations in the values of kinetic parameters used to calibrate the model. Finally, we use the model to make novel, experimentally testable predictions of transcription factor activities in mutant strains undergoing complex nutrient shifts. We also propose a novel framework, called BoolODE for utilizing published Boolean models to generate synthetic datasets used to benchmark the performance of algorithms performing gene regulatory network inference from single cell RNA sequencing data.
- MCAT: Motif Combining and Association ToolYang, Yanshen (Virginia Tech, 2018-07-02)De novo motif discovery in biological sequences is an important and computationally challenging problem. A myriad of algorithms have been developed to solve this problem with varying success, but it can be difficult for even a small number of these tools to reach a consensus. Because individual tools can be better suited for specific scenarios, an ensemble tool that combines the results of many algorithms can yield a more confident and complete result. We present a novel and fast tool MCAT (Motif Combining and Association Tool) for de novo motif discovery by combining six state-of-the-art motif discovery tools (MEME, BioProspector, DECOD, XXmotif, Weeder, and CMF). We apply MCAT to data sets with DNA sequences that come from various species and compare our results with two well-established ensemble motif finding tools, EMD and DynaMIT. The experimental results show that MCAT is able to identify exact match motifs in DNA sequences efficiently, and it has a better performance in practice.
- The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-PoissonianWeidemann, Douglas E.; Holehouse, James; Singh, Abhyudai; Grima, Ramon; Hauf, Silke (American Association for the Advancement of Science, 2023-08-09)Gene expression inherently gives rise to stochastic variation (“noise”) in the production of gene products. Minimizing noise is crucial for ensuring reliable cellular functions. However, noise cannot be suppressed below a certain intrinsic limit. For constitutively expressed genes, this limit is typically assumed to be Poissonian noise, wherein the variance in mRNA numbers is equal to their mean. Here, we demonstrate that several cell division genes in fission yeast exhibit mRNA variances significantly below this limit. The reduced variance can be explained by a gene expression model incorporating multiple transcription and mRNA degradation steps. Notably, in this sub-Poissonian regime, distinct from Poissonian or super-Poissonian regimes, cytoplasmic noise is effectively suppressed through a higher mRNA export rate. Our findings redefine the lower limit of eukaryotic gene expression noise and uncover molecular requirements for achieving ultralow noise, which is expected to be important for vital cellular functions.
- Mitotic checkpoint gene expression is tuned by codon usage biasEsposito, Eric; Weidemann, Douglas E.; Rogers, Jessie M.; Morton, Claire M.; Baybay, Erod Keaton; Chen, Jing; Hauf, Silke (Wiley, 2022-08-01)The mitotic checkpoint (also called spindle assembly checkpoint, SAC) is a signaling pathway that safeguards proper chromosome segregation. Correct functioning of the SAC depends on adequate protein concentrations and appropriate stoichiometries between SAC proteins. Yet very little is known about the regulation of SAC gene expression. Here, we show in the fission yeast Schizosaccharomyces pombe that a combination of short mRNA half-lives and long protein half-lives supports stable SAC protein levels. For the SAC genes mad2+ and mad3+, their short mRNA half-lives are caused, in part, by a high frequency of nonoptimal codons. In contrast, mad1+ mRNA has a short half-life despite a higher frequency of optimal codons, and despite the lack of known RNA-destabilizing motifs. Hence, different SAC genes employ different strategies of expression. We further show that Mad1 homodimers form co-translationally, which may necessitate a certain codon usage pattern. Taken together, we propose that the codon usage of SAC genes is fine-tuned to ensure proper SAC function. Our work shines light on gene expression features that promote spindle assembly checkpoint function and suggests that synonymous mutations may weaken the checkpoint.
- Mutation and selection explain why many eukaryotic centromeric DNA sequences are often A + T richBarbosa, Anne C.; Xu, Zhengyao; Karari, Kazhal; Williams, Wendi; Hauf, Silke; Brown, William R. A. (Oxford University Press, 2022-01-11)We have used chromosome engineering to replace native centromeric DNA with different test sequences at native centromeres in two different strains of the fission yeast Schizosaccharomyces pombe and have discovered that A + T rich DNA, whether synthetic or of bacterial origin, will function as a centromere in this species. Using genome size as a surrogate for the inverse of effective population size (N-e) we also show that the relative A + T content of centromeric DNA scales with N-e across 43 animal, fungal and yeast (Opisthokonta) species. This suggests that in most of these species the A + T content of the centromeric DNA is determined by a balance between selection and mutation. Combining the experimental results and the evolutionary analyses allows us to conclude that A + T rich DNA of almost any sequence will function as a centromere in most Opisthokonta species. The fact that many G/C to A/T substitutions are unlikely to be selected against may contribute to the rapid evolution of centromeric DNA. We also show that a neo-centromere sequence is not simply a weak version of native centromeric DNA and suggest that neo-centromeres require factors either for their propagation or establishment in addition to those required by native centromeres.
- Pomegranate: 2D segmentation and 3D reconstruction for fission yeast and other radially symmetric cellsBaybay, Erod Keaton; Esposito, Eric; Hauf, Silke (2020-10-06)Three-dimensional (3D) segmentation of cells in microscopy images is crucial to accurately capture signals that extend across optical sections. Using brightfield images for segmentation has the advantage of being minimally phototoxic and leaving all other channels available for signals of interest. However, brightfield images only readily provide information for two-dimensional (2D) segmentation. In radially symmetric cells, such as fission yeast and many bacteria, this 2D segmentation can be computationally extruded into the third dimension. However, current methods typically make the simplifying assumption that cells are straight rods. Here, we report Pomegranate, a pipeline that performs the extrusion into 3D using spheres placed along the topological skeletons of the 2D-segmented regions. The diameter of these spheres adapts to the cell diameter at each position. Thus, Pomegranate accurately represents radially symmetric cells in 3D even if cell diameter varies and regardless of whether a cell is straight, bent or curved. We have tested Pomegranate on fission yeast and demonstrate its ability to 3D segment wild-type cells as well as classical size and shape mutants. The pipeline is available as a macro for the open-source image analysis software Fiji/ImageJ. 2D segmentations created within or outside Pomegranate can serve as input, thus making this a valuable extension to the image analysis portfolio already available for fission yeast and other radially symmetric cell types.
- Understanding and Engineering Chemically Activated Ubiquitin Ligases for High-throughput Detection, Quantification, and Control of Molecules in YeastChaisupa, Patarasuda (Virginia Tech, 2024-06-10)Fungi, diverse and impactful organisms, exert both beneficial and harmful effects on plants, animals, and humans. Certain fungi produce auxin or indole-3-acetic acid (IAA), a crucial plant growth hormone that influences various aspects of plant growth and defense mechanisms. Conversely, pathogenic fungi can produce auxin and manipulate auxin signaling in their host plant to promote fungal virulence and infection progression. Targeting the auxin signaling pathway in pathogenic fungi offers a novel strategy for combating fungal infections in both plants and humans. Nevertheless, the auxin biosynthesis pathway and the role of auxin in fungal symbioses is not fully understood, in part, due to the lack of a tool for measuring intracellular auxin with high spatial and temporal resolution. This dissertation presents the first genetically encoded biosensor engineered from the E3 ubiquitin ligase to detect and quantify intracellular auxin in a Saccharomyces cerevisiae model. The biosensor has been applied to begin studying auxin metabolism and biosynthesis in yeast as well as better understand the plant auxin co-receptor proteins from which it is built. Additionally, the biosensor is re-engineered for application in inducible protein degradation, controlled by auxin. This tool could be applied to identify novel protein targets for disrupting pathogenic fungal species. Overall, this research offers valuable tool and platform for studying auxin biosynthesis pathway, plant protein and auxin signaling as well as intracellular proteins in fungi.
- Understanding the dynamics of rhythmic gene expression in mammalian cellsUnruh, Benjamin Alex (Virginia Tech, 2023-06-16)In mammals, circadian rhythms are driven by a cell-autonomous core-clock mechanism consisting of over a dozen core-clock genes forming transcription-translation feedback loops. The core-clock mechanism also drives the rhythmic expression of downstream genes called clock-controlled genes, which are thought to be important for driving rhythmic biochemical and physiological processes. Mathematical models predict that for a gene to be rhythmically expressed, synthesis, degradation, or a combination of the two must be rhythmic. The purpose of this project was to investigate the contribution of synthesis and degradation of RNA to rhythmic gene expression. To systematically understand the contribution of synthesis, degradation, and other RNA dynamics to rhythmic gene expression, I used metabolic labeling and a novel computational pipeline to analyze transcriptomic data in synchronized NIH3T3 cells. I identified 685 rhythmically expressed RNAs with a period of 24-hour in my dataset, of those 389 were rhythmically synthesized and 24 were rhythmically degraded. Low amplitude degradation rhythms were detected more broadly in the 685 rhythmically expressed RNAs, but these were not statistically significant. Although synthesis was the primary driver of rhythmic 24-hour RNA expression, core-clock gene RNAs were regulated by both synthesis and degradation, presumably to sustain high amplitude of rhythmic expression. I also identified rhythmic RNA expression with a period of 12 and 8 hours; interestingly, degradation primarily drove rhythmic expression of these RNAs. Overall this dissertation revealed RNA dynamics that drive rhythmic gene expression. This will provide insights into how diverse circadian clock mechanisms ultimately drive tissue-specific rhythmic gene expression.