Dances with Membranes: Breakthroughs from Super-resolution Imaging.
Dances with Membranes: Breakthroughs from Super-resolution Imaging.
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DOI:
10.1016/bs.ctm.2015.03.008
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发表时间:
2015
影响因子:
--
通讯作者:
Hess ST
中科院分区:
文献类型:
--
作者:
Curthoys NM;Parent M;Mlodzianoski M;Nelson AJ;Lilieholm J;Butler MB;Valles M;Hess ST
Biological membrane organization mediates numerous cellular functions and has also been connected with an immense number of human diseases. However, until recently, experimental methodologies have been unable to directly visualize the nanoscale details of biological membranes, particularly in intact living cells. Numerous models explaining membrane organization have been proposed, but testing those models has required indirect methods; the desire to directly image proteins and lipids in living cell membranes is a strong motivation for the advancement of technology. The development of super-resolution microscopy has provided powerful tools for quantification of membrane organization at the level of individual proteins and lipids, and many of these tools are compatible with living cells. Previously inaccessible questions are now being addressed, and the field of membrane biology is developing rapidly. This chapter discusses how the development of super-resolution microscopy has led to fundamental advances in the field of biological membrane organization. We summarize the history and some models explaining how proteins are organized in cell membranes, and give an overview of various super-resolution techniques and methods of quantifying super-resolution data. We discuss the application of super-resolution techniques to membrane biology in general, and also with specific reference to the fields of actin and actin-binding proteins, virus infection, mitochondria, immune cell biology, and phosphoinositide signaling. Finally, we present our hopes and expectations for the future of super-resolution microscopy in the field of membrane biology.
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影响因子:
56.9
作者:
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通讯作者:
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DOI:
10.1124/jpet.112.192138
发表时间:
2012-09-01
影响因子:
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作者:
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通讯作者:
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影响因子:
3.4
作者:
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通讯作者:
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