Schwann Cell Durotaxis Can Be Guided by Physiologically Relevant Stiffness Gradients Elisabeth B
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Development of Microfluidic Devices to Study Algal Chemotaxis and Long-Term Growth Dynamics" (2016)
Louisiana State University LSU Digital Commons LSU Master's Theses Graduate School 2016 Development of Microfluidic evD ices to Study Algal Chemotaxis and Long-Term Growth Dynamics Benjamin Seth Roberts Louisiana State University and Agricultural and Mechanical College, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_theses Part of the Chemical Engineering Commons Recommended Citation Roberts, Benjamin Seth, "Development of Microfluidic Devices to Study Algal Chemotaxis and Long-Term Growth Dynamics" (2016). LSU Master's Theses. 4496. https://digitalcommons.lsu.edu/gradschool_theses/4496 This Thesis is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Master's Theses by an authorized graduate school editor of LSU Digital Commons. For more information, please contact [email protected]. DEVELOPMENT OF MICROFLUIDIC DEVICES TO STUDY ALGAL CHEMOTAXIS AND LONG-TERM GROWTH DYNAMICS A Thesis Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Master of Science in The Cain Department of Chemical Engineering by Benjamin S. Roberts B.S., Mississippi State University, 2014 December 2016 TABLE OF CONTENTS ABSTRACT ................................................................................................................................... iii CHAPTER 1. INTRODUCTION ....................................................................................................1 -
Morphological Study of Cell Protrusions During Redirected Migration in Human Fibroblast Cells
MORPHOLOGICAL STUDY OF CELL PROTRUSIONS DURING REDIRECTED MIGRATION IN HUMAN FIBROBLAST CELLS Congyingzi Zhang A Thesis Submitted to the Graduate College of Bowling Green State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 2013 Committee: Dr. Carol Heckman, Advisor Dr. Roudabeh Jamasbi Dr. Peter Gorsevski ii ABSTRACT Carol A. Heckman, Advisor From the perspective of cell motility mechanisms, migration patterns arise from two opposing sources which can be viewed as forces. One, called intrinsic, maintains the cell persistence. The extrinsic arises from signals (repulsive or attractive) exerted by an external stimulus. The extrinsic force is stronger than the intrinsic, since it can overcome the intrinsic force and cause the cell to change direction. The current studies were designed to determine whether these forces were associated with different protrusions. I studied human fibroblast cells that collide with a haptotactic boundary between an adhesive substrate (germanium) and a non- adhesive substrate (plastic) in a chemokinesis system. The morphologies of cells migrating on the two substrates reflected the cells’ preference for the adhesive substrate. I measured the prevalence of various protrusions during the process of cells turning away from the boundary and reorienting their direction of travel. Classes that corresponded to protrusive features were identified by extracting latent factors from a number of primary, geometric variables, and included factor 4 (filopodia), factor 5 (cell mass displacement), and factor 7 (nascent neurites). The data showed that as cells moved further and further from the boundary, they had progressively lower values of factor 5. The correlation coefficient between the values is -0.4924. -
Negative Durotaxis: Cell Movement Toward Softer Environments
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.27.357178; this version posted October 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Negative durotaxis: cell movement toward softer environments Aleksi Isomursu1,*, Keun-Young Park2,*, Jay Hou3,*, Bo Cheng4,5,*, Ghaidan Shamsan3, Benjamin Fuller3, Jesse Kasim3, M. Mohsen Mahmoodi2, Tian Jian Lu6,7, Guy M. Genin4,5,8, Feng Xu4,5, Min Lin4,5,#, Mark Distefano2,#, Johanna Ivaska1,9,#, and David J. Odde3,# 1Turku Bioscience Centre, University of Turku and Åbo Akademi University, 20520 Turku, Finland 2Department of Chemistry, University of Minnesota, Minneapolis 55455, MN, USA 3Department of Biomedical Engineering, University of Minnesota, Minneapolis 55455, MN, USA 4The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, P.R. China 5Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, P.R. China 6State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, NanjinG 210016, P.R. China 7MOE Key Laboratory of Multifunctional Materials and Structures, Xi’an JiaotonG University, Xi’an 710049, P.R. China 8NSF Science and TechnoloGy Center for EnGineerinG MechanobioloGy, WashinGton University in St. Louis, St. Louis 63130, MO, USA 9Department of Biochemistry, University of Turku, 20520 Turku, Finland *Equal contribution #Corresponding authors Email: [email protected] (D.J.O.); [email protected] (J.I.); [email protected] (M.D.); [email protected] (M.L.) Abstract: Durotaxis – the ability of cells to sense and migrate along stiffness gradients – is important for embryonic development and has been implicated in pathologies including fibrosis and cancer. -
Bimodal Rheotactic Behavior Reflects Flagellar Beat Asymmetry in Human Sperm Cells
Bimodal rheotactic behavior reflects flagellar beat asymmetry in human sperm cells Anton Bukatina,b,1, Igor Kukhtevichb,c,1, Norbert Stoopd,1, Jörn Dunkeld,2, and Vasily Kantslere aSt. Petersburg Academic University, St. Petersburg 194021, Russia; bInstitute for Analytical Instrumentation of the Russian Academy of Sciences, St. Petersburg 198095, Russia; cITMO University, St. Petersburg 197101, Russia; dDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139-4307; and eDepartment of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom Edited by Charles S. Peskin, New York University, New York, NY, and approved November 9, 2015 (received for review July 30, 2015) Rheotaxis, the directed response to fluid velocity gradients, has whether this effect is of mechanical (20) or hydrodynamic (21, been shown to facilitate stable upstream swimming of mamma- 22) origin. Experiments (23) show that the alga’s reorientation lian sperm cells along solid surfaces, suggesting a robust physical dynamics can lead to localization in shear flow (24, 25), with mechanism for long-distance navigation during fertilization. How- potentially profound implications in marine ecology. In contrast ever, the dynamics by which a human sperm orients itself relative to taxis in multiflagellate organisms (2, 5, 18, 26, 27), the navi- to an ambient flow is poorly understood. Here, we combine micro- gation strategies of uniflagellate cells are less well understood. fluidic experiments with mathematical modeling and 3D flagellar beat For instance, it was discovered only recently that uniflagellate reconstruction to quantify the response of individual sperm cells in marine bacteria, such as Vibrio alginolyticus and Pseudoalteromonas time-varying flow fields. Single-cell tracking reveals two kinematically haloplanktis, use a buckling instability in their lone flagellum to distinct swimming states that entail opposite turning behaviors under change their swimming direction (28). -
A Hybrid Computational Model for Collective Cell Durotaxis
Biomechanics and Modeling in Mechanobiology https://doi.org/10.1007/s10237-018-1010-2 ORIGINAL PAPER A hybrid computational model for collective cell durotaxis Jorge Escribano1 · Raimon Sunyer2,5 · María Teresa Sánchez3 · Xavier Trepat2,4,5,6 · Pere Roca-Cusachs2,4 · José Manuel García-Aznar1 Received: 13 September 2017 / Accepted: 17 February 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Collective cell migration is regulated by a complex set of mechanical interactions and cellular mechanisms. Collective migration emerges from mechanisms occurring at single cell level, involving processes like contraction, polymerization and depolymerization, of cell–cell interactions and of cell–substrate adhesion. Here, we present a computational framework which simulates the dynamics of this emergent behavior conditioned by substrates with stiffness gradients. The computational model reproduces the cell’s ability to move toward the stiffer part of the substrate, process known as durotaxis. It combines the continuous formulation of truss elements and a particle-based approach to simulate the dynamics of cell–matrix adhesions and cell–cell interactions. Using this hybrid approach, researchers can quickly create a quantitative model to understand the regulatory role of different mechanical conditions on the dynamics of collective cell migration. Our model shows that durotaxis occurs due to the ability of cells to deform the substrate more in the part of lower stiffness than in the stiffer part. This effect explains why cell collective movement is more effective than single cell movement in stiffness gradient conditions. In addition, we numerically evaluate how gradient stiffness properties, cell monolayer size and force transmission between cells and extracellular matrix are crucial in regulating durotaxis. -
Engineering 3D Systems with Tunable Mechanical Properties to Mimic the Tumor Microenvironment Shalini Raj Unnikandam Veettil Iowa State University
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2018 Engineering 3D systems with tunable mechanical properties to mimic the tumor microenvironment Shalini Raj Unnikandam Veettil Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Chemical Engineering Commons Recommended Citation Unnikandam Veettil, Shalini Raj, "Engineering 3D systems with tunable mechanical properties to mimic the tumor microenvironment" (2018). Graduate Theses and Dissertations. 17339. https://lib.dr.iastate.edu/etd/17339 This Thesis is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Engineering 3D systems with tunable mechanical properties to mimic the tumor microenvironment by Shalini Raj Unnikandam Veettil A thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major: Chemical Engineering Program of Study Committee: Ian C Schneider, Major Professor Kaitlin Bratlie Michael Bartlett The student author, whose presentation of the scholarship herein was approved by the program of study committee, is solely responsible for the content of this thesis. The Graduate College will ensure this thesis is globally accessible and will not permit alterations after a degree is conferred. Iowa State University Ames, Iowa 2018 Copyright © Shalini Raj Unnikandam Veettil, 2018. All rights reserved. ii DEDICATION This thesis is dedicated to my family and friends who have been a great source of support. -
Mathematical Modelling and Analysis of Aspects of Planktonic Bacterial Motility
Mathematical modelling and analysis of aspects of planktonic bacterial motility Gabriel Aaron Rosser St Anne's College University of Oxford A thesis submitted for the degree of Doctor of Philosophy Michaelmas 2012 Contents 1 The biology of bacterial motility and taxis 8 1.1 Bacterial motility and taxis . .8 1.2 Experimental methods used to probe bacterial motility . 14 1.3 Tracking . 20 1.4 Conclusion and outlook . 21 2 Mathematical methods and models of bacterial motility and taxis 23 2.1 Modelling bacterial motility and taxis: a multiscale problem . 24 2.2 The velocity jump process . 34 2.3 Spatial moments of the general velocity jump process . 46 2.4 Circular statistics . 49 2.5 Stochastic simulation algorithm . 52 2.6 Conclusion and outlook . 54 3 Analysis methods for inferring stopping phases in tracking data 55 3.1 Analysis methods . 58 3.2 Simulation study comparison of the analysis methods . 76 3.3 Results . 80 3.4 Discussion and conclusions . 86 4 Analysis of experimental data 92 4.1 Methods . 92 i 4.2 Results . 109 4.3 Discussion and conclusions . 124 5 The effect of sampling frequency 132 5.1 Background and methods . 133 5.2 Stationary distributions . 136 5.3 Simulation study of dynamic distributions . 140 5.4 Analytic study of dynamic distributions . 149 5.5 Discussion and conclusions . 159 6 Modelling the effect of Brownian buffeting on motile bacteria 162 6.1 Background . 163 6.2 Mathematical methods . 166 6.3 A model of rotational diffusion in bacterial motility . 173 6.4 Results . 183 6.5 Discussion and conclusion . -
Thermotaxis Is a Robust Mechanism for Thermoregulation in Caenorhabditis Elegans Nematodes
12546 • The Journal of Neuroscience, November 19, 2008 • 28(47):12546–12557 Behavioral/Systems/Cognitive Thermotaxis is a Robust Mechanism for Thermoregulation in Caenorhabditis elegans Nematodes Daniel Ramot,1* Bronwyn L. MacInnis,2* Hau-Chen Lee,2 and Miriam B. Goodman1,2 1Program in Neuroscience and 2Department of Molecular and Cellular Physiology, Stanford University, Stanford, California 94305 Many biochemical networks are robust to variations in network or stimulus parameters. Although robustness is considered an important design principle of such networks, it is not known whether this principle also applies to higher-level biological processes such as animal behavior. In thermal gradients, Caenorhabditis elegans uses thermotaxis to bias its movement along the direction of the gradient. Here we develop a detailed, quantitative map of C. elegans thermotaxis and use these data to derive a computational model of thermotaxis in the soil, a natural environment of C. elegans. This computational analysis indicates that thermotaxis enables animals to avoid temperatures at which they cannot reproduce, to limit excursions from their adapted temperature, and to remain relatively close to the surface of the soil, where oxygen is abundant. Furthermore, our analysis reveals that this mechanism is robust to large variations in the parameters governing both worm locomotion and temperature fluctuations in the soil. We suggest that, similar to biochemical networks, animals evolve behavioral strategies that are robust, rather than strategies that rely on fine tuning of specific behavioral parameters. Key words: behavior; C. elegans; temperature; neuroethology; computational models; robustness Introduction model to investigate the ability of thermotaxis to regulate Tb and its robustness to genetic and environmental perturbation. -
The Behavior of Fishes by Antonios Pappantoniou
The Behavior of Fishes by Antonios Pappantoniou I. A GENERAL OVERVIEW OF FISH BEHAVIOR This article is the first in a series of articles on the behavior of North American freshwater fishes. Althou~h this first ~rticle will not stress any species in particular, each !~ture article will focus on the behavior of a single species or group of closely related fishes. It is the intent of the articles to supply the readers with a knowledge of fish behavior so that they may better understand and enjoy their aquarium fishes. The articles will draw on information from the scien tific literat~re and the authors' own observations. The behavior of fishes is very much dictated by their environment. Two factors, temperature and light, are probably the most critical environmental factors control ling fish behavior. Fish are classed as ectothermic animals. Ectothermic means they must rely on outside sources of he~r. to maintain their body temperature. Temperature governs biochemical and physiological activities which in turn control fish behavior. The preferred te~perature of fish varies with the species. Fish species adapted to swift-flowing streams prefer cooler temperatures than those species adapted to life in a small pond. Temperatures may fluctuate on a daily or seasonal basis. Daily fluctuations, especially in the s~~er months, can cause onshore - offshore movements in species of lake fish. Seasonal changes in temperature are partly responsible for initiati~g physiological changes which lead to reproductive activity in fish. Light is the other critical environmental factor controlling fish behavior. 1 fish may be diurnal. Such a fish would be active during the day. -
Chapter 51 Animal Behavior
Chapter 51 Animal Behavior Lecture Outline Overview: Shall We Dance? • Red-crowned cranes (Grus japonensis) gather in groups to dance, prance, stretch, bow, and leap. They grab bits of plants, sticks, and feathers with their bills and toss them into the air. • How does a crane decide that it is time to dance? In fact, why does it dance at all? • Animal behavior is based on physiological systems and processes. • An individual behavior is an action carried out by the muscular or hormonal system under the control of the nervous system in response to a stimulus. • Behavior contributes to homeostasis; an animal must acquire nutrients for digestion and find a partner for sexual reproduction. • All of animal physiology contributes to behavior, while animal behavior influences all of physiology. • Being essential for survival and reproduction, animal behavior is subject to substantial selective pressure during evolution. • Behavioral selection also acts on anatomy because body form and appearance contribute directly to the recognition and communication that underlie many behaviors. Concept 51.1: A discrete sensory input is the stimulus for a wide range of animal behaviors. • An animal’s behavior is the sum of its responses to external and internal stimuli. Classical ethology presaged an evolutionary approach to behavioral biology. • In the mid-20th century, pioneering behavioral biologists developed the discipline of ethology, the scientific study of how animals behave in their natural environments. • Niko Tinbergen, of the Netherlands, suggested four questions that must be answered to fully understand any behavior. 1. What stimulus elicits the behavior, and what physiological mechanisms mediate the response? 2. -
AP Biology Lab 11: Roly Poly Enhanced Interrogation Animal
AP Biology Lab 11: Roly Poly Enhanced Interrogation Animal Behavior1 Overview In this lab you will observe the behavior of pill bugs and design an experiment to investigate their responses to environmental variables. Objectives Before doing this lab you should understand: 1. The concept of distribution of organisms in a resource gradient, and 2. The difference between kinesis and taxis. After doing this lab you should be able to: 1. describe some aspects of animal behavior, such as orientational behavior, agonistic behavior, dominance display, or mating behavior, and 2. Understand the adaptiveness of the behaviors you studied. 3. How to quantitively analyze your results using chi-square. Introduction Ethology is the study of animal behavior. Behavior is an animal’s response to sensory input and falls into two basic categories: learned and innate (inherited). Orientation behaviors place the animal in its most favorable environment. In taxis, the animal moves toward or away from a stimulus. Taxis are often exhibited when the stimulus is light, heat, moisture, sound, or chemicals. Kinesis is a movement that is random and does not result in orientation with respect to a stimulus. If an organism responds to bright light by moving away, that is taxis. If an organism responds to bright light by random movements in all directions, that is kinesis. Agonistic behavior is exhibited when animals respond to each other by aggressive or submissive responses. Often the agonistic behavior is simply a display that makes the organism look big or threatening. It is sometimes studied in the laboratory with Bettas (Siamese fighting fish). Mating behaviors may involve a complex series of activities that facilitate finding, courting, and mating with a member of the same species. -
Metabolism-Dependent Taxis and Control of Motility in Pseudomonas Putida
Metabolism-dependent taxis and control of motility in Pseudomonas putida Sofia Österberg Department of Molecular Biology Umeå University Umeå 2013 This work is protected by the Swedish Copyright Legislation (Act 1960:729) ISBN: 978-91-7459-563-5 Cover picture: Electron microscopy image of Pseudomonas putida KT2440 Electronic version available at http://umu.diva-portal.org/ Printed by: Department of Chemistry Printing Service, Umeå University Umeå, Sweden 2013 Till min familj CONTENTS CONTENTS .................................................................................................. I ABSTRACT................................................................................................ III ABBREVIATIONS ....................................................................................... IV LIST OF PUBLICATIONS .............................................................................. V SAMMANFATTNING PÅ SVENSKA .............................................................. VI 1. INTRODUCTION .................................................................................. 1 1.1 BACTERIAL ADAPTATION ........................................................................ 1 1.2 BACTERIAL TRANSCRIPTION .................................................................... 1 1.2.1 RNA polymerase – the molecular machinery ................................. 1 1.2.2 σ-factors – the specificity components ......................................... 2 1.2.3 The transcriptional process from start to finish ............................