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The role of cytoplasmic nanospaces in smooth muscle cell Ca2+ signalling

Overview of attention for article published in Protoplasma, November 2011
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Title
The role of cytoplasmic nanospaces in smooth muscle cell Ca2+ signalling
Published in
Protoplasma, November 2011
DOI 10.1007/s00709-011-0348-4
Pubmed ID
Authors

Nicola Fameli, Cornelis van Breemen

Abstract

We address the importance of cytoplasmic nanospaces in Ca(2+) transport and signalling in smooth muscle cells and how quantitative modelling can shed significant light on the understanding of signalling mechanisms. Increasingly more convincing evidence supports the view that these nanospaces--nanometre-scale spaces between organellar membranes, hosting cell signalling machinery--are key to Ca(2+) signalling as much as Ca(2+) transporters and Ca(2+) storing organelles. Our research suggests that the origin of certain diseases is to be sought in the disruption of the proper functioning of cytoplasmic nanospaces. We begin with a historical perspective on the study of smooth muscle cell plasma membrane-sarcoplasmic reticulum nanospaces, including experimental evidence of their role in the generation of asynchronous Ca(2+) waves. We then summarize how stochastic modelling approaches have aided and guided our understanding of two basic functional steps leading to healthy smooth muscle cell contraction. We furthermore outline how more sophisticated and realistic quantitative stochastic modelling is now being employed not only to deepen our understanding but also to aid in the hypothesis generation for further experimental investigation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 2 29%
Professor 1 14%
Student > Bachelor 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Materials Science 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Medicine and Dentistry 1 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Other 0 0%