Literature DB >> 10679151

A two-parameter model of cell membrane permeability for multisolute systems.

I I Katkov1.   

Abstract

A two-parameter model of cell osmotic response (F. W. Kleinhans, 1998, Cryobiology 37, 271-289) is expanded for multisolute systems. The cell water volume W and intracellular osmolalities of N solutes are related as W[1 + L(p)RTSigma(N)(i=1)(M(i)/P(i))] = W(0)[1 + L(p)RTSigma(N)(i=1)(M(0)i)/P(i))], where M(i) is the intracellular osmolality of the ith solute (i = 1 ellipsis N), P(i) is the membrane permeability of the ith solute, L(p) is the membrane hydraulic conductivity, R is the gas constant, T is the absolute temperature, and the subscript "0" denotes the initial values at time zero. The above formula allows calculating the final (equilibrium) volume when all entities are permeable. Simple algebraic expressions for calculation of the number and magnitude of transient maximum volume excursions are presented. These simple expressions can all be calculated by hand on a pocket calculator. Practical examples of one-, two-, and three-solute systems are discussed. Special attention has been given to situations when systems contain an impermeable component. All formulas are simple to use for optimization of variety of cryobiological protocols. Application of the theory for optimization of addition and dilution of a permeable cryoprotectant is also discussed. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10679151     DOI: 10.1006/cryo.1999.2226

Source DB:  PubMed          Journal:  Cryobiology        ISSN: 0011-2240            Impact factor:   2.487


  13 in total

1.  A general model for the dynamics of cell volume, global stability, and optimal control.

Authors:  James D Benson; Carmen C Chicone; John K Critser
Journal:  J Math Biol       Date:  2010-11-10       Impact factor: 2.259

2.  Osmotic transport across cell membranes in nondilute solutions: a new nondilute solute transport equation.

Authors:  Heidi Y Elmoazzen; Janet A W Elliott; Locksley E McGann
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

3.  Rationally optimized cryopreservation of multiple mouse embryonic stem cell lines: I--Comparative fundamental cryobiology of multiple mouse embryonic stem cell lines and the implications for embryonic stem cell cryopreservation protocols.

Authors:  Corinna M Kashuba; James D Benson; John K Critser
Journal:  Cryobiology       Date:  2013-12-30       Impact factor: 2.487

4.  Periodic oscillations of a model for membrane permeability with fluctuating environmental conditions.

Authors:  Pedro J Torres
Journal:  J Math Biol       Date:  2014-07-14       Impact factor: 2.259

5.  Mathematical Modeling and Optimization of Cryopreservation in Single Cells.

Authors:  James D Benson
Journal:  Methods Mol Biol       Date:  2021

6.  A microfluidic perfusion approach for on-chip characterization of the transport properties of human oocytes.

Authors:  Gang Zhao; Zhiguo Zhang; Yuntian Zhang; Zhongrong Chen; Dan Niu; Yunxia Cao; Xiaoming He
Journal:  Lab Chip       Date:  2017-03-29       Impact factor: 6.799

7.  Analytical optimal controls for the state constrained addition and removal of cryoprotective agents.

Authors:  James D Benson; Carmen C Chicone; John K Critser
Journal:  Bull Math Biol       Date:  2012-04-20       Impact factor: 1.758

8.  An improved cryopreservation method for a mouse embryonic stem cell line.

Authors:  Corinna M Kashuba Benson; James D Benson; John K Critser
Journal:  Cryobiology       Date:  2007-12-10       Impact factor: 2.487

Review 9.  Foundations of modeling in cryobiology-II: Heat and mass transport in bulk and at cell membrane and ice-liquid interfaces.

Authors:  Daniel M Anderson; James D Benson; Anthony J Kearsley
Journal:  Cryobiology       Date:  2019-10-04       Impact factor: 2.487

10.  Bioprocessing of cryopreservation for large-scale banking of human pluripotent stem cells.

Authors:  Yan Li; Teng Ma
Journal:  Biores Open Access       Date:  2012-10
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