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2. Deciphering the transport of elastic filaments by antagonistic motor proteins

Author

J. C. Dallon, Cécile Leduc, Stéphanie Portet, Sandrine Etienne-Manneville, University of Manitoba [Winnipeg], Polarité cellulaire, Migration et Cancer - Cell Polarity, Migration and Cancer, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Brigham Young University (BYU), S.P. was partly supported by an National Sciences and Engineering Research Concil of Canada (NSERC) Discovery Grant. S.E.-M. and C.L. were supported by the Centre National de Recherche Scientifique, La Ligue Contre le Cancer, and the Institut Pasteur., The authors would like to thank the Isaac Newton Institute for Mathematical Sciences for support and hospitality during the program 'Coupling Geometric PDE's with Physics for Cell Morphology, Motility and Pattern Formation' when the work on this paper was undertaken. S.P. would like to thank Institut Pasteur for support of her stay. S.P. would like to thank P. van den Driessche for discussions on similar matrices., Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), and ANR-16-CE13-0019,SiFi2Net,Filaments intermédiaires: du filament unique au réseau(2016)

Subjects
MESH: Biological Transport, Dynein, Intermediate Filaments, MESH: Molecular Motor Proteins, macromolecular substances, Models, Biological, 01 natural sciences, 010305 fluids & plasmas, Slow motion, Protein filament, Motor protein, 0103 physical sciences, Molecular motor, Elasticity (economics), 010306 general physics, Intermediate filament, Physics, MESH: Kinetics, Molecular Motor Proteins, MESH: Models, Biological, Biological Transport, Elasticity, Kinetics, MESH: Intermediate Filaments, Biophysics, MESH: Elasticity, Kinesin, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Abstract

International audience; Intermediate filaments are long elastic fibers that are transported by the microtubule-associated motor proteins kinesin and dynein inside the cell. How elastic filaments are efficiently transported by antagonistic motors is not well understood and is difficult to measure with current experimental techniques. Adapting the tug-of-war paradigm for vesiclelike cargos, we develop a mathematical model to describe the motion of an elastic filament punctually bound to antagonistic motors. As observed in cells, up to three modes of transport are obtained; dynein-driven retrograde, kinesin-driven anterograde fast motions, and a slow motion. Motor properties and initial conditions that depend on intracellular context regulate the transport of filaments. Filament elasticity is found to affect both the mode and the efficiency of transport. We further show that the coordination of motors along the filament emerges from the interplay between intracellular context and elastic properties of filaments.

Published
2019

3. An Efficient Approach for Multi-tenant Elastic Business Processes Management in Cloud Computing Environment

Author

François Charoy, Guillaume Rosinosky, Samir Youcef, Bonitasoft, Web Scale Trustworthy Collaborative Service Systems (COAST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), CIFRE Bonitasoft, Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), and The authors would like to thank Gurobi for the usage of their optimizer, and Amazon Web Services for the EC2 instances credits (this paper is supported by an AWS in Education Research Grant award).

Subjects
Computer science, Business process, 0211 other engineering and technologies, Cloud computing, Multi-tenancy, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], 02 engineering and technology, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], Utility computing, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems/C.2.4.1: Distributed applications, Elasticity (economics), Multitenancy, 021103 operations research, Management science, business.industry, Bi-criteria optimization, Quality of service, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Elasticity, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], BPM, Risk analysis (engineering), [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], business, Cloud
Abstract

International audience; Even though the proven benefits of cloud computing paradigm, it must face a serious problem that can compromise its commercial success. It concerns the lack of efficient approach for using optimally the available resources. For this, several approaches have been proposed. However,they suffer from several shortcomings. For instance, often only one objective is taken into account expressing all operations in terms of cost. Furthermore, business processes should be insured with elasticity and multitenancy mechanism while adjusting the available resources to the dynamic load distribution. The proposed approach aims to optimize two conflicting objectives, namely the number of migrated tenants and the cost incurred using a set of resources. It allows to take into account the multi-tenancy property and the Cloud computing elasticity, and is efficient as shown by an extensive experimentation based on real data from Bonita BPM customers.

Published
2016