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Integrative Biology
Article . 2009 . Peer-reviewed
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FRET and mechanobiology

Authors: Yingxiao, Wang; Ning, Wang;

FRET and mechanobiology

Abstract

Since the development of green fluorescent protein (GFP) and other fluorescent proteins (FPs) with distinct colors, genetically-encoded probes and biosensors have been widely applied to visualize the molecular localization and activities in live cells. In particular, biosensors based on fluorescence resonance energy transfer (FRET) have significantly advanced our understanding of the dynamic molecular hierarchy at subcellular levels. These biosensors have also been extensively applied in recent years to study how cells perceive the mechanical environment and transmit it into intracellular molecular signals (i.e. mechanotransduction). In this review, we will first provide a brief introduction of the recent development of FPs. Different FRET biosensors based on FPs will then be described. The last part of the review will be dedicated to the introduction of examples applying FRET biosensors to visualize mechanotransduction in live cells. In summary, the integration of FRET technology and the different cutting-edge mechanical stimulation systems can provide powerful tools to allow the elucidation of the mechanisms regulating mechanobiology at cellular and molecular levels in normal and pathophysiological conditions.

Keywords

Microscopy, Fluorescence, Fluorescence Resonance Energy Transfer, Animals, Humans, Equipment Design, Mechanotransduction, Cellular

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Top 10%
Top 10%
Top 10%
bronze