Literature DB >> 9894006

Interactions of influenza virus with cultured cells: detailed kinetic modeling of binding and endocytosis.

I Nunes-Correia1, J Ramalho-Santos, S Nir, M C Pedroso de Lima.   

Abstract

We performed a detailed kinetic analysis of the uptake of influenza virus (A/PR8/34) by Madin Darby canine kidney (MDCK) cells in culture. Experimental procedures were based on the relief of fluorescence self-quenching of the fluorescent probe octadecylrhodamine B chloride (R18) incorporated in the viral envelope. Equilibrium for binding of influenza virus to MDCK cells (2.5 x 10(6)/mL) was reached quicker with temperature increases due to a faster dynamic mobility of the particles. We deduced that there are two kinds of binding sites for influenza virus in MDCK cells and determined the kinetic parameters of the binding process (adhesion and detachment rate constants), using a mass action kinetic model. As the temperature increases, the number of binding sites for influenza virus decreases, especially the high-affinity binding sites, whereas the value of the affinity constant for virus binding to the binding site, k, increases. Nevertheless, the binding association constant at equilibrium Ki, which is given by Ki = Niki, where Ni is the number of binding sites per cell, declines as the temperature increases. When endocytosis occurs, the total uptake of virions by the cells is larger than that observed in the process of binding at the same temperature, and the uptake proceeds for longer times. Using our mass kinetic model, we determined that at 20 degrees C, the rate constant of endocytosis, epsilon, for influenza virus with this cell line is 2.6 x 10(-)4 s-1, i.e., in the same range as in studies on endocytosis of liposomes.

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Year:  1999        PMID: 9894006     DOI: 10.1021/bi9812524

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  14 in total

1.  Kinetics of influenza virus fusion with the endosomal and plasma membranes of cultured cells. Effect of temperature.

Authors:  I Nunes-Correia; S Nir; M C Pedroso de Lima
Journal:  J Membr Biol       Date:  2003-09-01       Impact factor: 1.843

2.  Modeling the intracellular dynamics of influenza virus replication to understand the control of viral RNA synthesis.

Authors:  Frank S Heldt; Timo Frensing; Udo Reichl
Journal:  J Virol       Date:  2012-05-16       Impact factor: 5.103

3.  Influenza virus entry and infection require host cell N-linked glycoprotein.

Authors:  Victor C Chu; Gary R Whittaker
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-15       Impact factor: 11.205

4.  How sticky should a virus be? The impact of virus binding and release on transmission fitness using influenza as an example.

Authors:  Andreas Handel; Victoria Akin; Sergei S Pilyugin; Veronika Zarnitsyna; Rustom Antia
Journal:  J R Soc Interface       Date:  2014-01-15       Impact factor: 4.118

Review 5.  A Structural and Mathematical Modeling Analysis of the Likelihood of Antibody-Dependent Enhancement in Influenza.

Authors:  Boopathy Ramakrishnan; Karthik Viswanathan; Kannan Tharakaraman; Vlado Dančík; Rahul Raman; Gregory J Babcock; Zachary Shriver; Ram Sasisekharan
Journal:  Trends Microbiol       Date:  2016-10-14       Impact factor: 17.079

6.  Towards multiscale modeling of influenza infection.

Authors:  Lisa N Murillo; Michael S Murillo; Alan S Perelson
Journal:  J Theor Biol       Date:  2013-04-19       Impact factor: 2.691

Review 7.  Chemodynamic features of nanoparticles: Application to understanding the dynamic life cycle of SARS-CoV-2 in aerosols and aqueous biointerfacial zones.

Authors:  Jérôme F L Duval; Herman P van Leeuwen; Willem Norde; Raewyn M Town
Journal:  Adv Colloid Interface Sci       Date:  2021-03-04       Impact factor: 15.190

8.  Exploring virus release as a bottleneck for the spread of influenza A virus infection in vitro and the implications for antiviral therapy with neuraminidase inhibitors.

Authors:  Laura E Liao; Szymon Kowal; Daniel A Cardenas; Catherine A A Beauchemin
Journal:  PLoS One       Date:  2017-08-24       Impact factor: 3.240

Review 9.  The role of multiscale computational approaches for rational design of conventional and nanoparticle oral drug delivery systems.

Authors:  Nahor Haddish-Berhane; Jenna L Rickus; Kamyar Haghighi
Journal:  Int J Nanomedicine       Date:  2007

10.  Single-cell analysis and stochastic modelling unveil large cell-to-cell variability in influenza A virus infection.

Authors:  Frank S Heldt; Sascha Y Kupke; Sebastian Dorl; Udo Reichl; Timo Frensing
Journal:  Nat Commun       Date:  2015-11-20       Impact factor: 14.919

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