ArticleFrontiers in molecular neuroscience2014
Engineering a genetically-encoded SHG chromophore by electrostatic targeting to the membrane.
Article in Frontiers in molecular neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Dynamic Second Harmonic Imaging of Proton Translocation Through Water Needles in Lipid Membranes.Journal of the American Chemical Society · 2024Article
- Genetic voltage indicators.BMC biology · 2019Review
- Harmonic Generation Microscopy 2.0: New Tricks Empowering Intravital Imaging for Neuroscience.Frontiers in molecular biosciences · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Although second harmonic generation (SHG) microscopy provides unique imaging advantages for voltage imaging and other biological applications, genetically-encoded SHG chromophores remain relatively unexplored. SHG only arises from non-centrosymmetric media, so an anisotropic arrangement of chromophores is essential to provide strong SHG signals. Here, inspired by the mechanism by which K-Ras4B associates with plasma membranes, we sought to achieve asymmetric arrangements of chromophores at the membrane-cytoplasm interface using the fluorescent protein mVenus. After adding a farnesylation motif to the C-terminus of mVenus, nine amino acids composing its β-barrel surface were replaced by lysine, forming an electrostatic patch. This protein (mVe9Knus-CVIM) was efficiently targeted to the plasma membrane in a geometrically defined manner and exhibited SHG in HEK293 cells. In agreement with its design, mVe9Knus-CVIM hyperpolarizability was oriented at a small angle (~7.3°) from the membrane normal. Genetically-encoded SHG chromophores could serve as a molecular platform for imaging membrane potential.
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