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学術論文

Large Scale Bacterial Colony Screening of Diversified FRET Biosensors

MPS-Authors
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Litzlbauer,  Julia
Research Group: Cellular Dynamics / Griesbeck, MPI of Neurobiology, Max Planck Society;

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Schifferer,  Martina
Research Group: Cellular Dynamics / Griesbeck, MPI of Neurobiology, Max Planck Society;

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Ng,  David
Research Group: Cellular Dynamics / Griesbeck, MPI of Neurobiology, Max Planck Society;

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Fabritius,  Arne
Research Group: Cellular Dynamics / Griesbeck, MPI of Neurobiology, Max Planck Society;

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Thestrup,  Thomas
Research Group: Cellular Dynamics / Griesbeck, MPI of Neurobiology, Max Planck Society;

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Griesbeck,  Oliver
Research Group: Cellular Dynamics / Griesbeck, MPI of Neurobiology, Max Planck Society;

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フルテキスト (公開)

journal.pone.0119860.pdf
(全文テキスト(全般)), 6MB

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引用

Litzlbauer, J., Schifferer, M., Ng, D., Fabritius, A., Thestrup, T., & Griesbeck, O. (2015). Large Scale Bacterial Colony Screening of Diversified FRET Biosensors. PLOS ONE, 10(6):. doi:10.1371/journal.pone.0119860.


引用: https://hdl.handle.net/11858/00-001M-0000-0027-D2A9-A
要旨
Biosensors based on Forster Resonance Energy Transfer (FRET) between fluorescent protein mutants have started to revolutionize physiology and biochemistry. However, many types of FRET biosensors show relatively small FRET changes, making measurements with these probes challenging when used under sub-optimal experimental conditions. Thus, a major effort in the field currently lies in designing new optimization strategies for these types of sensors. Here we describe procedures for optimizing FRET changes by large scale screening of mutant biosensor libraries in bacterial colonies. We describe optimization of biosensor expression, permeabilization of bacteria, software tools for analysis, and screening conditions. The procedures reported here may help in improving FRET changes in multiple suitable classes of biosensors.