Literature DB >> 11125203

Macromolecular crowding as a cell volume sensor.

M B Burg1.   

Abstract

UNLABELLED: The non-ideal properties of solutions containing high concentrations of macromolecules can result in enormous increases in the activity of the individual macromolecules. There is considerable evidence that macromolecular crowding and confinement not only occur in cells, but that these are major determinants of the activity of the proteins and other intracellular macromolecules. This concept has important implications for cell volume regulation because, under crowded conditions, relatively small changes in concentration, consequent to alterations of water content, lead to large changes in macromolecular activity which could provide a mechanism by which cells sense changes in their volume. This brief review considers 1) direct demonstrations that introducing a high concentration of appropriate macromolecules into cells in vitro produced volume regulatory changes, 2) the physical chemical principles involved in the effects of crowding of macromolecules on their activity, 3) estimates of the actual intracellular activity of macromolecules, 4) a proposed model of how changes in macromolecular crowding could signal volume regulation in cells, and 5) brief consideration of the complexities introduced by interactions between macromolecules, water and cosolutes.
CONCLUSIONS: The hypothesis that macromolecular crowding provides a mechanism by which cells sense changes in their volume is plausible and is supported by striking observations in red blood cell ghosts and perfused barnacle muscle cells. However, the signaling molecules involved have not been identified, the proposed model is not fully consistent with the experiments, experimental verification in intact cells is lacking, and numerous alternative or additional mechanisms are not excluded. Copyright 2000 S. Karger AG, Basel

Entities:  

Mesh:

Year:  2000        PMID: 11125203     DOI: 10.1159/000016371

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  14 in total

1.  Adaptive responses of cell hydration to a low temperature arrest.

Authors:  Jens Christmann; Lale Azer; Daniel Dörr; Günter R Fuhr; Philippe I H Bastiaens; Frank Wehner
Journal:  J Physiol       Date:  2015-12-22       Impact factor: 5.182

2.  Functional expression of Kir4.1 channels in spinal cord astrocytes.

Authors:  M L Olsen; H Higashimori; S L Campbell; J J Hablitz; H Sontheimer
Journal:  Glia       Date:  2006-04-01       Impact factor: 7.452

3.  Mixed osmolytes: the degree to which one osmolyte affects the protein stabilizing ability of another.

Authors:  Luis Marcelo F Holthauzen; D Wayne Bolen
Journal:  Protein Sci       Date:  2006-12-22       Impact factor: 6.725

Review 4.  Sensors, transducers, and effectors that regulate cell size and shape.

Authors:  Mirkka Koivusalo; Andras Kapus; Sergio Grinstein
Journal:  J Biol Chem       Date:  2008-11-12       Impact factor: 5.157

Review 5.  Connecting the dots: the effects of macromolecular crowding on cell physiology.

Authors:  Márcio A Mourão; Joe B Hakim; Santiago Schnell
Journal:  Biophys J       Date:  2014-12-16       Impact factor: 4.033

6.  Physiological tonicity improves human chondrogenic marker expression through nuclear factor of activated T-cells 5 in vitro.

Authors:  Anna E van der Windt; Esther Haak; Ruud H J Das; Nicole Kops; Tim J M Welting; Marjolein M J Caron; Niek P van Til; Jan A N Verhaar; Harrie Weinans; Holger Jahr
Journal:  Arthritis Res Ther       Date:  2010-05-21       Impact factor: 5.156

7.  Cell volume affects glycogen phosphorylase activity in fish hepatocytes.

Authors:  N K Hallgren; E R Busby; T P Mommsen
Journal:  J Comp Physiol B       Date:  2003-07-31       Impact factor: 2.200

Review 8.  Regulation of the cellular content of the organic osmolyte taurine in mammalian cells.

Authors:  Ian Henry Lambert
Journal:  Neurochem Res       Date:  2004-01       Impact factor: 3.996

9.  Evidence for macromolecular crowding as a direct apoptotic stimulus.

Authors:  Priyanka S Rana; Manabu Kurokawa; Michael A Model
Journal:  J Cell Sci       Date:  2020-05-11       Impact factor: 5.285

10.  A physicochemical perspective of aging from single-cell analysis of pH, macromolecular and organellar crowding in yeast.

Authors:  Sara N Mouton; David J Thaller; Matthew M Crane; Irina L Rempel; Owen T Terpstra; Anton Steen; Matt Kaeberlein; C Patrick Lusk; Arnold J Boersma; Liesbeth M Veenhoff
Journal:  Elife       Date:  2020-09-29       Impact factor: 8.140

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