Membrane Diffusion Occurs by a Continuous-Time Random Walk Sustained by Vesicular Trafficking
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Biological Membranes and Transport Membranes Define the External
Biological Membranes and Transport Membranes define the external boundaries of cells and regulate the molecular traffic across that boundary; in eukaryotic cells, they divide the internal space into discrete compartments to segregate processes and components. Membranes are flexible, self-sealing, and selectively permeable to polar solutes. Their flexibility permits the shape changes that accompany cell growth and movement (such as amoeboid movement). With their ability to break and reseal, two membranes can fuse, as in exocytosis, or a single membrane-enclosed compartment can undergo fission to yield two sealed compartments, as in endocytosis or cell division, without creating gross leaks through cellular surfaces. Because membranes are selectively permeable, they retain certain compounds and ions within cells and within specific cellular compartments, while excluding others. Membranes are not merely passive barriers. Membranes consist of just two layers of molecules and are therefore very thin; they are essentially two-dimensional. Because intermolecular collisions are far more probable in this two-dimensional space than in three-dimensional space, the efficiency of enzyme-catalyzed processes organized within membranes is vastly increased. The Molecular Constituents of Membranes Molecular components of membranes include proteins and polar lipids, which account for almost all the mass of biological membranes, and carbohydrate present as part of glycoproteins and glycolipids. Each type of membrane has characteristic lipids and proteins. The relative proportions of protein and lipid vary with the type of membrane, reflecting the diversity of biological roles (as shown in table 12-1, see below). For example, plasma membranes of bacteria and the membranes of mitochondria and chloroplasts, in which many enzyme-catalyzed processes take place, contain more protein than lipid. -
Membrane Transport, Absorption and Distribution of Drugs
Chapter 2 1 Pharmacokinetics: Membrane Transport, Absorption and Distribution of Drugs Pharmacokinetics is the quantitative study of drug movement in, through and out of the body. The overall scheme of pharmacokinetic processes is depicted in Fig. 2.1. The intensity of response is related to concentration of the drug at the site of action, which in turn is dependent on its pharmacokinetic properties. Pharmacokinetic considerations, therefore, determine the route(s) of administration, dose, and latency of onset, time of peak action, duration of action and frequency of administration of a drug. Fig. 2.1: Schematic depiction of pharmacokinetic processes All pharmacokinetic processes involve transport of the drug across biological membranes. Biological membrane This is a bilayer (about 100 Å thick) of phospholipid and cholesterol molecules, the polar groups (glyceryl phosphate attached to ethanolamine/choline or hydroxyl group of cholesterol) of these are oriented at the two surfaces and the nonpolar hydrocarbon chains are embedded in the matrix to form a continuous sheet. This imparts high electrical resistance and relative impermeability to the membrane. Extrinsic and intrinsic protein molecules are adsorbed on the lipid bilayer (Fig. 2.2). Glyco- proteins or glycolipids are formed on the surface by attachment to polymeric sugars, 2 aminosugars or sialic acids. The specific lipid and protein composition of different membranes differs according to the cell or the organelle type. The proteins are able to freely float through the membrane: associate and organize or vice versa. Some of the intrinsic ones, which extend through the full thickness of the membrane, surround fine aqueous pores. CHAPTER2 Fig. -
Chapter 2 Cell Membranes
Chapter 2 Cell Membranes © 2020 Elsevier Inc. All rights reserved. Figure 2–1 The hydrophobic effect drives rearrangement of lipids, including the formation of bilayers. The driving force of the hydrophobic effect is the tendency of water molecules to maximize their hydrogen bonding between the oxygen and hydrogen atoms. Phospholipids placed in water would potentially disrupt the hydrogen bonding of water clusters. This causes the phospholipids to bury their nonpolar tails by forming micelles, bilayers, or monolayers. Which of the lipid structures is preferred depends on the lipids and the environment. The shape of the molecules (size of the head group and characteristics of the side chains) can determine lipid structure. (A) Molecules that have an overall inverted conical shape, such as detergent molecules, form structures with a positive curvature, such as micelles. (B) Cylindrical-shaped lipid molecules such as some phospholipids preferentially form bilayer structures. (C) Biological membranes combine a large variety of lipid molecular species. The combination of these structures determines the overall shape of the bilayer, and a change in composition or distribution will lead to a change in shape of the bilayer. Similarly a change in shape needs to be accommodated by a change in composition and organization of the lipid core. © 2020 Elsevier Inc. All rights reserved. 2 Figure 2–2 The principle of the fluid mosaic model of biological membranes as proposed by Singer and Nicolson. In this model, globular integral membrane proteins are freely mobile within a sea of phospholipids and cholesterol. © 2020 Elsevier Inc. All rights reserved. 3 Figure 2–3 Structure of phospholipids. -
Biological Membranes Transport
9/15/2014 Advanced Cell Biology Biological Membranes Transport 1 1 9/15/2014 3 4 2 9/15/2014 Transport through cell membranes • The phospholipid bilayer is a good barrier around cells, especially to water soluble molecules. However, for the cell to survive some materials need to be able to enter and leave the cell. • There are 4 basic mechanisms: 1. DIFFUSION and FACILITATED DIFFUSION 2. OSMOSIS 3. ACTIVE TRANSPORT 4. BULK TRANSPORT AS Biology, Cell membranes and 5 Transport 11.3 Solute Transport across Membranes 6 3 9/15/2014 Passive Transport Is Facilitated by Membrane Proteins Energy changes accompanying passage of a hydrophilic solute through the lipid bilayer of a biological membrane 7 Figure 11.2 Overview of membrane transport proteins. 4 9/15/2014 Figure 11.3 Multiple membrane transport proteins function together in the plasma membrane of metazoan cells. 5 9/15/2014 • Facilitated transport – Passive transport – Glucose – GLUT Cellular uptake of glucose mediated by GLUT proteins exhibits simple enzyme kinetics 11 12 6 9/15/2014 Regulation by insulin of glucose transport by GLUT4 into a myocyte 13 Effects of Osmosis on Water Balance • Osmosis is the diffusion of water across a selectively permeable membrane • The direction of osmosis is determined only by a difference in total solute concentration • Water diffuses across a membrane from the region of lower solute concentration to the region of higher solute concentration 7 9/15/2014 Water Balance of Cells Without Walls • Tonicity is the ability of a solution to cause a cell to gain -
Questions in Cell Biology
Name: Questions in Cell Biology Directions: The following questions are taken from previous IB Final Papers on the subject of cell biology. Answer all questions. This will serve as a study guide for the next quiz on Monday 11/21. 1. Outline the process of endocytosis. (Total 5 marks) 2. Draw a labelled diagram of the fluid mosaic model of the plasma membrane. (Total 5 marks) 3. The drawing below shows the structure of a virus. II I 10 nm (a) Identify structures labelled I and II. I: ...................................................................................................................................... II: ...................................................................................................................................... (2) (b) Use the scale bar to calculate the maximum diameter of the virus. Show your working. Answer: ..................................................... (2) (c) Explain briefly why antibiotics are effective against bacteria but not viruses. ............................................................................................................................................... ............................................................................................................................................... ............................................................................................................................................... .............................................................................................................................................. -
Impact of Bacteria Motility in the Encounter Rates with Bacteriophage in Mucus Kevin L
www.nature.com/scientificreports OPEN Impact of bacteria motility in the encounter rates with bacteriophage in mucus Kevin L. Joiner1,2*, Arlette Baljon3,7, Jeremy Barr 4, Forest Rohwer5,7 & Antoni Luque 1,6,7* Bacteriophages—or phages—are viruses that infect bacteria and are present in large concentrations in the mucosa that cover the internal organs of animals. Immunoglobulin (Ig) domains on the phage surface interact with mucin molecules, and this has been attributed to an increase in the encounter rates of phage with bacteria in mucus. However, the physical mechanism behind this phenomenon remains unclear. A continuous time random walk (CTRW) model simulating the difusion due to mucin-T4 phage interactions was developed and calibrated to empirical data. A Langevin stochastic method for Escherichia coli (E. coli) run-and-tumble motility was combined with the phage CTRW model to describe phage-bacteria encounter rates in mucus for diferent mucus concentrations. Contrary to previous theoretical analyses, the emergent subdifusion of T4 in mucus did not enhance the encounter rate of T4 against bacteria. Instead, for static E. coli, the difusive T4 mutant lacking Ig domains outperformed the subdifusive T4 wild type. E. coli’s motility dominated the encounter rates with both phage types in mucus. It is proposed, that the local fuid-fow generated by E. coli’s motility combined with T4 interacting with mucins may be the mechanism for increasing the encounter rates between the T4 phage and E. coli bacteria. Phages—short for bacteriophages—are viruses that infect bacteria and are the most abundant replicative biolog- ical entities on the planet1,2, helping to regulate ecosystems and participating in the shunt of nutrients and the control of bacteria populations3. -
Is Lipid Translocation Involved During Endo- and Exocytosis?
Biochimie 82 (2000) 497−509 © 2000 Société française de biochimie et biologie moléculaire / Éditions scientifiques et médicales Elsevier SAS. All rights reserved. S0300908400002091/FLA Is lipid translocation involved during endo- and exocytosis? Philippe F. Devaux* Institut de Biologie Physico-Chimique, UPR-CNRS 9052, 13, rue Pierre-et-Marie-Curie, 75005 Paris, France (Received 28 January 2000; accepted 17 March 2000) Abstract — Stimulation of the aminophospholipid translocase, responsible for the transport of phosphatidylserine and phosphati- dylethanolamine from the outer to the inner leaflet of the plasma membrane, provokes endocytic-like vesicles in erythrocytes and stimulates endocytosis in K562 cells. In this article arguments are given which support the idea that the active transport of lipids could be the driving force involved in membrane folding during the early step of endocytosis. The model is sustained by experiments on shape changes of pure lipid vesicles triggered by a change in the proportion of inner and outer lipids. It is shown that the formation of microvesicles with a diameter of 100–200 nm caused by the translocation of plasma membrane lipids implies a surface tension in the whole membrane. It is likely that cytoskeleton proteins and inner organelles prevent a real cell from undergoing overall shape changes of the type seen with giant unilamellar vesicles. Another hypothesis put forward in this article is the possible implication of the phospholipid ‘scramblase’ during exocytosis which could favor the unfolding of microvesicles. © 2000 Société française de biochimie et biologie moléculaire / Éditions scientifiques et médicales Elsevier SAS aminophospholipid translocase / membrane budding / spontaneous curvature / liposomes / K562 cells 1. Introduction yet whether clathrin polymerizes and then pinches off the membrane to form the buds or if polymerization takes During the last 10–15 years, a large number of proteins place around a pre-formed bud. -
The Membrane
The Membrane Natalie Gugala1*, Stephana J Cherak1 and Raymond J Turner1 1Department of Biological Sciences, University of Calgary, Canada *Corresponding author: RJ Turner, Department of Biological Sciences, University of Calgary, Alberta, Canada, Tel: 1-403-220-4308; Fax: 1-403-289-9311; Email: [email protected] Published Date: February 10, 2016 ABSTRACT and continues to be studied. The biological membrane is comprised of numerous amphiphilic The characterization of the cell membrane has significantly extended over the past century lipids, sterols, proteins, carbohydrates, ions and water molecules that result in two asymmetric polar leaflets, in which the interior is hydrophobic due to the hydrocarbon tails of the lipids. generated a dynamic heterogonous image of the membrane that includes lateral domains and The extension of the Fluid Mosaic Model, first proposed by Singer and Nicolson in 1972, has clusters perpetrated by lipid-lipid, protein-lipid and protein-protein interactions. Proteins found within the membrane, which are generally characterized as either intrinsic or extrinsic, have an array of biological functions vital for cell activity. The primary role of the membrane, among many, is to provide a barrier that conveys both separation and protection, thus maintaining the integrity of the cell. However, depending on the permeability of the membrane several ions are able to move down their concentration gradients. In turn this generates a membrane potential difference between the cytosol, which is found to have an excess negative charge, and surrounding extracellular fluid. Across a biological cell membrane, several potentials can be found. These include the Nernst or equilibrium potential, in which there is no overall flow of a Basicparticular Biochemistry ion and | www.austinpublishinggroup.com/ebooks the Donnan potential, created by an unequal distribution of ions. -
Non-Gaussian Behavior of Reflected Fractional Brownian Motion
Non-Gaussian behavior of reflected fractional Brownian motion Alexander H O Wada1,2, Alex Warhover1 and Thomas Vojta1 1 Department of Physics, Missouri University of Science and Technology, Rolla, MO 65409, USA 2 Instituto de F´ısica, Universidade de S˜aoPaulo, Rua do Mat˜ao,1371, 05508-090 S˜aoPaulo, S˜aoPaulo, Brazil January 2019 Abstract. A possible mechanism leading to anomalous diffusion is the presence of long-range correlations in time between the displacements of the particles. Fractional Brownian motion, a non-Markovian self-similar Gaussian process with stationary increments, is a prototypical model for this situation. Here, we extend the previous results found for unbiased reflected fractional Brownian motion [Phys. Rev. E 97, 020102(R) (2018)] to the biased case by means of Monte Carlo simulations and scaling arguments. We demonstrate that the interplay between the reflecting wall and the correlations leads to highly non-Gaussian probability densities of the particle position x close to the reflecting wall. Specifically, the probability density P (x) develops a power-law singularity P xκ with κ < 0 if the correlations are positive (persistent) and κ > 0 ∼ if the correlations are negative (antipersistent). We also analyze the behavior of the large-x tail of the stationary probability density reached for bias towards the wall, the average displacements of the walker, and the first-passage time, i.e., the time it takes for the walker reach position x for the first time. Keywords: Anomalous diffusion, fractional Brownian motion Contents arXiv:1811.06130v2 [cond-mat.stat-mech] 29 Mar 2019 1 Introduction 2 2 Normal diffusion 3 3 Fractional Brownian motion 5 4 Unbiased reflected fractional Brownian motion 6 CONTENTS 2 5 Biased reflected fractional Brownian motion 7 6 Monte Carlo simulations 10 6.1 Method ................................... -
Arxiv:2011.02444V1 [Cond-Mat.Stat-Mech] 4 Nov 2020 Short in One Important Respect: It Does Not Consider a Jump Over Obstacles, We fix Their Radius As = 10
Scaling study of diffusion in dynamic crowded spaces H. Bendekgey,1, 2 G. Huber,1 and D. Yllanes1, 3, ∗ 1Chan Zuckerberg Biohub, San Francisco, California 94158, USA 2University of California, Irvine, California 92697, USA 3Instituto de Biocomputación y Física de Sistemas Complejos (BIFI), 50009 Zaragoza, Spain (Dated: November 5, 2020) We study Brownian motion in a space with a high density of moving obstacles in 1, 2 and 3 dimensions. Our tracers diffuse anomalously over many decades in time, before reaching a diffusive steady state with an effective diffusion constant Deff that depends on the obstacle density and diffusivity. The scaling of Deff, above and below a critical regime at the percolation point for void space, is characterized by two critical exponents: the conductivity µ, also found in models with frozen obstacles, and , which quantifies the effect of obstacle diffusivity. Introduction. Brownian motion in disordered media times. Most works, however, have concentrated on the has long been the focus of much theoretical and experi- transient subdiffusive regime rather than on the diffusive mental work [1, 2]. A particularly important application steady state. has more recently emerged, thanks to the ever increas- Here we study Brownian motion in such a dynamic, ing quality of microscopy techniques: that of transport crowded space and characterize how the long-time dif- inside the cell (see, e.g., [3–6] for some pioneering stud- fusive regime depends on obstacle density and mobility. ies or [7–10] for more recent overviews). Indeed, it is Using extensive numerical simulations, we compute an ef- now possible to track the movement of single particles fective diffusion constant Deff for a wide range of obstacle inside living cells, of sizes ranging from small proteins concentrations and diffusivities in one, two and three spa- to viruses, RNA molecules or ribosomes. -
Random Walk Calculations for Bacterial Migration in Porous Media
800 Biophysical Journal Volume 68 March 1995 80Q-806 Random Walk Calculations for Bacterial Migration in Porous Media Kevin J. Duffy,* Peter T. Cummings,** and Roseanne M. Ford** ·Department of Chemical Engineering and *Biophysics Program, University of Virginia, Charlottesville, Virginia 22903-2442 USA ABSTRACT Bacterial migration is important in understanding many practical problems ranging from disease pathogenesis to the bioremediation of hazardous waste in the environment. Our laboratory has been successful in quantifying bacterial migration in fluid media through experiment and the use of population balance equations and cellular level simulations that incorporate parameters based on a fundamental description of the microscopic motion of bacteria. The present work is part of an effort to extend these results to bacterial migration in porous media. Random walk algorithms have been used successfully to date in nonbiological contexts to obtain the diffusion coefficient for disordered continuum problems. This approach has been used here to describe bacterial motility. We have generated model porous media using molecular dynamics simulations applied to a fluid with equal sized spheres. The porosity is varied by allowing different degrees of sphere overlap. A random walk algorithm is applied to simulate bacterial migration, and the Einstein relation is used to calculate the effective bacterial diffusion coefficient. The tortuosity as a function of particle size is calculated and compared with available experimental results of migration of Pseudomonas putida in sand columns. Tortuosity increases with decreasing obstacle diameter, which is in agreement with the experimental results. INTRODUCTION Modem production of synthetic organic compounds has re rotational direction of the flagellar motors of the bacteria. -
Gaspar Banfalvi.Pdf
Gaspar Banfalvi Permeability of Biological Membranes Permeability of Biological Membranes Gaspar Banfalvi Permeability of Biological Membranes Gaspar Banfalvi University of Debrecen Debrecen , Hungary ISBN 978-3-319-28096-7 ISBN 978-3-319-28098-1 (eBook) DOI 10.1007/978-3-319-28098-1 Library of Congress Control Number: 2016932313 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfi lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifi c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by SpringerNature The registered company is Springer International Publishing AG Switzerland. Summ ary The ultimate energy source for life on Earth is the solar energy of Sun.