Matching Items (11)
Description
Cells live in complex environments and must be able to adapt to environmental changes in order to survive. The ability of a cell to survive and thrive in a changing environment depends largely on its ability to receive and respond to extracellular signals. Initiating with receptors, signal transduction cascades begin translating extracellular signals into intracellular messages. Such signaling cascades are responsible for the regulation of cellular metabolism, cell growth, cell movement, transcription, translation, proliferation and differentiation. This dissertation seeks to dissect and examine critical signaling pathways involved in the regulation of proliferation in neural stem cells (Chapter 2) and the regulation of Glioblastoma Multiforme pathogenesis (GBM; Chapter 3). In Chapter 2 of this dissertation, we hypothesize that the mTOR signaling pathway plays a significant role in the determination of neural stem cell proliferation given its control of cell growth, metabolism and survival. We describe the effect of inhibition of mTOR signaling on neural stem cell proliferation using animal models of aging. Our results show that the molecular method of targeted inhibition may result in differential effects on neural stem cell proliferation as the use of rapamycin significantly reduced proliferation while the use of metformin did not. Abnormal signaling cascades resulting in unrestricted proliferation may lead to the development of brain cancer, such as GBM. In Chapter 3 of this dissertation, we hypothesize that the inhibition of the protein kinase, aPKCλ results in halted GBM progression (invasion and proliferation) due to its central location in multiple signaling cascades. Using in-vitro and in-vivo models, we show that aPKCλ functions as a critical node in GBM signaling as both cell-autonomous and non-cell-autonomous signaling converge on aPKCλ resulting in pathogenic downstream effects. This dissertation aims to uncover the molecular mechanisms involved in cell signaling pathways which are responsible for critical cellular effects such as proliferation, invasion and transcriptional regulation.
ContributorsKusne, Yael (Author) / Sanai, Nader (Thesis advisor) / Neisewander, Janet (Thesis advisor) / Tran, Nhan (Committee member) / Hammer, Ronald (Committee member) / Narayanan, Vinodh (Committee member) / Shapiro, Joan (Committee member) / Arizona State University (Publisher)
Created2014
Description
Proper cell growth and differentiation requires the integration of multiple signaling pathways that are maintained by various post-translational modifications. Many proteins in signal transduction pathways are conserved between humans and model organisms. My dissertation characterizes four previously unknown manners of regulation in the Drosophila Decapentaplegic (Dpp) pathway, a pathway within TGF-beta family. First, I present data that the Dpp signal transducer, Mothers Against Dpp (Mad), is phosphorylated by Zeste-white 3 (Zw3), a kinase involved in the Wingless pathway. This phosphorylation event occurs independently of canonical phosphorylation of Mad by the Dpp receptor. Using ectopic expression of different alleles of Mad, I show that Zw3 phosphorylation of Mad occurs during the cell cycle in pro-neuronal cells and the loss of phosphorylation of Mad by Zw3 results in ectopic neuronal cells. Thus, Mad phosphorylation by Zw3 is necessary for cell cycle control in pro-neuronal cells. Second, I have shown that the regulator dSno, which has previously been shown to be a TGF-beta antagonist and agonist, is also a Wingless pathway antagonist. Loss of function flip-out clones and ectopic expression of dSno both resulted in changes of Wingless signaling. Further analysis revealed that dSno acts at or below the level of Armadillo (Arm) to inhibit target gene expression. Third, I have demonstrated that the protein Bonus, which is known to be involved in chromatin modification, is required in dorsal-ventral patterning. Further experiments discovered that the chromatin modifier is not only a necessary Dpp agonist, but it is also necessary for nuclear localization of Dorsal during Toll signaling. Last, I showed that longitudinal lacking-like (lola-like) is also required in dorsal-ventral patterning. The loss of maternally expressed lola-like prevents dpp transcription. This shows that lola-like is integral in the Dpp pathway. The study of these four proteins integrates different signaling pathways, demonstrating that the process of development is a web of connections rather than a linear pathway.
ContributorsQuijano, Janine C (Author) / Newfeld, Stuart J (Thesis advisor) / Goldstein, Elliott (Committee member) / Chandler, Douglas (Committee member) / Capco, David (Committee member) / Arizona State University (Publisher)
Created2014
Description
Intermittent social defeat stress produces vulnerability to drugs of abuse, a phenomena known as cross-sensitization, which is proceeded by a corresponding upregulation of ventral tegmental area (VTA) mu-opioid receptors (MORs). Since VTA MORs are implicated in the expression of psychostimulant sensitization, they may also mediate social stress-induced vulnerability to drugs of abuse. Social stress and drugs of abuse increase mesolimbic brain-derived neurotrophic factor (BDNF) signaling with its receptor, tropomyosin-related kinase B (TrkB). These studies examined whether VTA MOR signaling is important for the behavioral and cellular consequences of social stress. First, the function of VTA MORs in the behavioral consequences of intermittent social defeat stress was investigated. Lentivirus-mediated knockdown of VTA MORs prevented social stress-induced cross-sensitization, as well as stress-induced social avoidance and weight gain deficits. Next it was examined whether VTA MOR expression is critical for stress-induced alterations in the mesocorticolimbic circuit. At the time cross-sensitization was known to occur, lentivirus-mediated knockdown of VTA MORs prevented stress-induced increases in VTA BDNF and its receptor, TrkB in the nucleus accumbens (NAc), and attenuated NAc expression of delta FosB. There was no effect of either stress or virus on BDNF expression in the prefrontal cortex. Since social stress-induced upregulation of VTA MORs is necessary for consequences of social stress, next activity dependent changes in AKT, a downstream target of MOR stimulation associated with sensitization to psychostimulant drugs, were investigated. Using fluorescent immunohistochemical double labeling for the active form of AKT (pAKT) and markers of either GABA or dopamine neurons in the VTA, it was determined that social stress significantly increased the expression of pAKT in GABA, but not dopamine neurons, and that this effect was dependent on VTA MOR expression. Moreover, intra-VTA inhibition of pAKT during stress prevented stress-induced weight gain deficits, while acute inhibition of VTA pAKT blocked the expression of cross-sensitization in subjects that had previously exhibited sensitized locomotor activity. Together these results suggest that social stress upregulates MORs on VTA GABA neurons, resulting in AKT phosphorylation, and that increased VTA MOR-pAKT signaling may represent a novel therapeutic target for the intervention of substance abuse disorders.
ContributorsJohnston, Caitlin (Author) / Hammer, Ronald P. (Thesis advisor) / Nikulina, Ella M. (Thesis advisor) / Neisewander, Janet L. (Committee member) / Wu, Jie (Committee member) / Olive, Michael F. (Committee member) / Arizona State University (Publisher)
Created2015
Description
Cell morphology and the distribution of voltage gated ion channels play a major role in determining a neuron's firing behavior, resulting in the specific processing of spatiotemporal synaptic input patterns. Although many studies have provided insight into the computational properties arising from neuronal structure as well as from channel kinetics, no comprehensive theory exists which explains how the interaction of these features shapes neuronal excitability. In this study computational models based on the identified Drosophila motoneuron (MN) 5 are developed to investigate the role of voltage gated ion channels, the impact of their densities and the effects of structural features.
First, a spatially collapsed model is used to develop voltage gated ion channels to study the excitability of the model neuron. Changing the channel densities reproduces different in situ observed firing patterns and induces a switch from resonator to integrator properties. Second, morphologically realistic multicompartment models are studied to investigate the passive properties of MN5. The passive electrical parameters fall in a range that is commonly observed in neurons, MN5 is spatially not compact, but for the single subtrees synaptic efficacy is location independent. Further, different subtrees are electrically independent from each other. Third, a continuum approach is used to formulate a new cable theoretic model to study the output in a dendritic cable with many subtrees, both analytically and computationally. The model is validated, by comparing it to a corresponding model with discrete branches. Further, the approach is demonstrated using MN5 and used to investigate spatially distributions of voltage gated ion channels.
First, a spatially collapsed model is used to develop voltage gated ion channels to study the excitability of the model neuron. Changing the channel densities reproduces different in situ observed firing patterns and induces a switch from resonator to integrator properties. Second, morphologically realistic multicompartment models are studied to investigate the passive properties of MN5. The passive electrical parameters fall in a range that is commonly observed in neurons, MN5 is spatially not compact, but for the single subtrees synaptic efficacy is location independent. Further, different subtrees are electrically independent from each other. Third, a continuum approach is used to formulate a new cable theoretic model to study the output in a dendritic cable with many subtrees, both analytically and computationally. The model is validated, by comparing it to a corresponding model with discrete branches. Further, the approach is demonstrated using MN5 and used to investigate spatially distributions of voltage gated ion channels.
ContributorsBerger, Sandra (Author) / Crook, Sharon (Thesis advisor) / Baer, Steven (Committee member) / Hamm, Thomas (Committee member) / Smith, Brian (Committee member) / Arizona State University (Publisher)
Created2014
Description
The NLR family, pyrin domain-containing 3 (NLRP3) inflammasome is essential for the innate immune response to danger signals. Importantly, the NLRP3 inflammasome responds to structurally and functionally dissimilar stimuli. It is currently unknown how the NLRP3 inflammasome responds to such diverse triggers. This dissertation investigates the role of ion flux in regulating the NLRP3 inflammasome. Project 1 explores the relationship between potassium efflux and Syk tyrosine kinase. The results reveal that Syk activity is upstream of mitochondrial oxidative signaling and is crucial for inflammasome assembly, pro-inflammatory cytokine processing, and caspase-1-dependent pyroptotic cell death. Dynamic potassium imaging and molecular analysis revealed that Syk is downstream of, and regulated by, potassium efflux. Project 1 reveals the first identified intermediate regulator of inflammasome activity regulated by potassium efflux. Project 2 focuses on P2X7 purinergic receptor-dependent ion flux in regulating the inflammasome. Dynamic potassium imaging revealed an ATP dose-dependent efflux of potassium driven by P2X7. Surprisingly, ATP induced mitochondrial potassium mobilization, suggesting a mitochondrial detection of purinergic ion flux. ATP-induced potassium and calcium flux was found to regulate mitochondrial oxidative signaling upstream of inflammasome assembly. First-ever multiplexed imaging of potassium and calcium dynamics revealed that potassium efflux is necessary for calcium influx. These results suggest that ATP-induced potassium efflux regulates the inflammasome by calcium influx-dependent mitochondrial oxidative signaling. Project 2 defines a coordinated cation flux dependent on the efflux of potassium and upstream of mitochondrial oxidative signaling in inflammasome regulation. Lastly, this dissertation contributes two methods that will be useful for investigating inflammasome biology: an optimized pipeline for single cell transcriptional analysis, and a mouse macrophage cell line expressing a genetically encoded intracellular ATP sensor. This dissertation contributes to understanding the fundamental role of ion flux in regulation of the NLRP3 inflammasome and identifies potassium flux and Syk as potential targets to modulate inflammation.
ContributorsYaron, Jordan Robin (Author) / Meldrum, Deirdre R (Thesis advisor) / Blattman, Joseph N (Committee member) / Glenn, Honor L (Committee member) / Arizona State University (Publisher)
Created2015
Description
Given the process of tumorigenesis, biological signaling pathways have become of interest in the field of oncology. Many of the regulatory mechanisms that are altered in cancer are directly related to signal transduction and cellular communication. Thus, identifying signaling pathways that have become deregulated may provide useful information to better understanding altered regulatory mechanisms within cancer. Many methods that have been created to measure the distinct activity of signaling pathways have relied strictly upon transcription profiles. With advancements in comparative genomic hybridization techniques, copy number data has become extremely useful in providing valuable information pertaining to the genomic landscape of cancer. The purpose of this thesis is to develop a methodology that incorporates both gene expression and copy number data to identify signaling pathways that have become deregulated in cancer. The central idea is that copy number data may significantly assist in identifying signaling pathway deregulation by justifying the aberrant activity being measured in gene expression profiles. This method was then applied to four different subtypes of breast cancer resulting in the identification of signaling pathways associated with distinct functionalities for each of the breast cancer subtypes.
ContributorsTrevino, Robert (Author) / Kim, Seungchan (Thesis advisor) / Ringner, Markus (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2011
Description
In a typical living cell, millions to billions of proteins—nanomachines that fluctuate and cycle among many conformational states—convert available free energy into mechanochemical work. A fundamental goal of biophysics is to ascertain how 3D protein structures encode specific functions, such as catalyzing chemical reactions or transporting nutrients into a cell. Protein dynamics span femtosecond timescales (i.e., covalent bond oscillations) to large conformational transition timescales in, and beyond, the millisecond regime (e.g., glucose transport across a phospholipid bilayer). Actual transition events are fast but rare, occurring orders of magnitude faster than typical metastable equilibrium waiting times. Equilibrium molecular dynamics (EqMD) can capture atomistic detail and solute-solvent interactions, but even microseconds of sampling attainable nowadays still falls orders of magnitude short of transition timescales, especially for large systems, rendering observations of such "rare events" difficult or effectively impossible.
Advanced path-sampling methods exploit reduced physical models or biasing to produce plausible transitions while balancing accuracy and efficiency, but quantifying their accuracy relative to other numerical and experimental data has been challenging. Indeed, new horizons in elucidating protein function necessitate that present methodologies be revised to more seamlessly and quantitatively integrate a spectrum of methods, both numerical and experimental. In this dissertation, experimental and computational methods are put into perspective using the enzyme adenylate kinase (AdK) as an illustrative example. We introduce Path Similarity Analysis (PSA)—an integrative computational framework developed to quantify transition path similarity. PSA not only reliably distinguished AdK transitions by the originating method, but also traced pathway differences between two methods back to charge-charge interactions (neglected by the stereochemical model, but not the all-atom force field) in several conserved salt bridges. Cryo-electron microscopy maps of the transporter Bor1p are directly incorporated into EqMD simulations using MD flexible fitting to produce viable structural models and infer a plausible transport mechanism. Conforming to the theme of integration, a short compendium of an exploratory project—developing a hybrid atomistic-continuum method—is presented, including initial results and a novel fluctuating hydrodynamics model and corresponding numerical code.
Advanced path-sampling methods exploit reduced physical models or biasing to produce plausible transitions while balancing accuracy and efficiency, but quantifying their accuracy relative to other numerical and experimental data has been challenging. Indeed, new horizons in elucidating protein function necessitate that present methodologies be revised to more seamlessly and quantitatively integrate a spectrum of methods, both numerical and experimental. In this dissertation, experimental and computational methods are put into perspective using the enzyme adenylate kinase (AdK) as an illustrative example. We introduce Path Similarity Analysis (PSA)—an integrative computational framework developed to quantify transition path similarity. PSA not only reliably distinguished AdK transitions by the originating method, but also traced pathway differences between two methods back to charge-charge interactions (neglected by the stereochemical model, but not the all-atom force field) in several conserved salt bridges. Cryo-electron microscopy maps of the transporter Bor1p are directly incorporated into EqMD simulations using MD flexible fitting to produce viable structural models and infer a plausible transport mechanism. Conforming to the theme of integration, a short compendium of an exploratory project—developing a hybrid atomistic-continuum method—is presented, including initial results and a novel fluctuating hydrodynamics model and corresponding numerical code.
ContributorsSeyler, Sean L (Author) / Beckstein, Oliver (Thesis advisor) / Chamberlin, Ralph (Committee member) / Matyushov, Dmitry (Committee member) / Thorpe, Michael F (Committee member) / Vaiana, Sara (Committee member) / Arizona State University (Publisher)
Created2017
Description
Unmanned aerial vehicles have received increased attention in the last decade due to their versatility, as well as the availability of inexpensive sensors (e.g. GPS, IMU) for their navigation and control. Multirotor vehicles, specifically quadrotors, have formed a fast growing field in robotics, with the range of applications spanning from surveil- lance and reconnaissance to agriculture and large area mapping. Although in most applications single quadrotors are used, there is an increasing interest in architectures controlling multiple quadrotors executing a collaborative task. This thesis introduces a new concept of control involving more than one quadrotors, according to which two quadrotors can be physically coupled in mid-flight. This concept equips the quadro- tors with new capabilities, e.g. increased payload or pursuit and capturing of other quadrotors. A comprehensive simulation of the approach is built to simulate coupled quadrotors. The dynamics and modeling of the coupled system is presented together with a discussion regarding the coupling mechanism, impact modeling and additional considerations that have been investigated. Simulation results are presented for cases of static coupling as well as enemy quadrotor pursuit and capture, together with an analysis of control methodology and gain tuning. Practical implementations are introduced as results show the feasibility of this design.
ContributorsLarsson, Daniel (Author) / Artemiadis, Panagiotis (Thesis advisor) / Marvi, Hamidreza (Committee member) / Berman, Spring (Committee member) / Arizona State University (Publisher)
Created2016
Description
The hedgehog signaling pathway is a mechanism that directs the development of embryonic cells in animals, from invertebrates to vertebrates. The hedgehog signaling pathway is a system of genes and gene products, mostly proteins, that convert one kind of signal into another, called transduction. In 1980, Christiane Nusslein-Volhard and Eric F. Wieschaus, at the European Molecular Biology Laboratory in Heidelberg, Germany, identified several fruit fly (Drosophila melanogaster) genes. They found that when those genes were changed or mutated, the mutated genes disrupted the normal development of fruit fly larvae. The researchers called one of the genes hedgehog (abbreviated hh). Nusslein-Volhard, Wieschaus, and Edward B. Lewis, at the California Institute of Technology in Pasadena, California, shared the 1995 Nobel Prize for Physiology or Medicine for their research on how genes control early embryonic development in fruit flies. The hedgehog signaling pathway is conserved across many animal taxa or phyla, from Drosophila to humans. The hedgehog signaling pathway controls several key components of embryonic development, stem-cell maintenance, and it influences the development of some cancers.
ContributorsHaskett, Dorothy R. (Author) / Quaranto, Chelsea (Editor) / Bartlett, Zane N. (Editor) / Arizona State University. School of Life Sciences. Center for Biology and Society. Embryo Project Encyclopedia. (Publisher) / Arizona Board of Regents (Publisher)
Created2015-07-30
Description
Signaling cascades transduce signals received on the cell membrane to the nucleus. While noise filtering, ultra-sensitive switches, and signal amplification have all been shown to be features of such signaling cascades, it is not understood why cascades typically show three or four layers. Using singular perturbation theory, Michaelis-Menten type equations are derived for open enzymatic systems. When these equations are organized into a cascade, it is demonstrated that the output signal as a function of time becomes sigmoidal with the addition of more layers. Furthermore, it is shown that the activation time will speed up to a point, after which more layers become superfluous. It is shown that three layers create a reliable sigmoidal response progress curve from a wide variety of time-dependent signaling inputs arriving at the cell membrane, suggesting that natural selection may have favored signaling cascades as a parsimonious solution to the problem of generating switch-like behavior in a noisy environment.
ContributorsYoung, Jonathan Trinity (Author) / Armbruster, Dieter (Thesis advisor) / Platte, Rodrigo (Committee member) / Nagy, John (Committee member) / Baer, Steven (Committee member) / Taylor, Jesse (Committee member) / Arizona State University (Publisher)
Created2013