1. A general strategy to red-shift green fluorescent protein-based biosensors.
- Author
-
Zhang S and Ai HW
- Subjects
- Animals, Archaeal Proteins genetics, Archaeal Proteins metabolism, Cell Line, Cloning, Molecular, Escherichia coli genetics, Escherichia coli metabolism, Fluorescence Resonance Energy Transfer, Gene Expression, Genetic Vectors chemistry, Genetic Vectors metabolism, Glucose pharmacology, Green Fluorescent Proteins biosynthesis, Green Fluorescent Proteins genetics, Humans, Insulin-Secreting Cells cytology, Insulin-Secreting Cells drug effects, Insulin-Secreting Cells metabolism, Luminescent Proteins biosynthesis, Luminescent Proteins genetics, Methanocaldococcus chemistry, Methanocaldococcus enzymology, Mice, Recombinant Proteins genetics, Recombinant Proteins metabolism, Tyrosine genetics, Tyrosine metabolism, Tyrosine-tRNA Ligase genetics, Tyrosine-tRNA Ligase metabolism, Red Fluorescent Protein, Biosensing Techniques, Green Fluorescent Proteins analysis, Luminescent Proteins analysis, Optical Imaging methods, Protein Engineering methods, Tyrosine analogs & derivatives
- Abstract
Compared with green fluorescent protein-based biosensors, red fluorescent protein (RFP)-based biosensors are inherently advantageous because of reduced phototoxicity, decreased autofluorescence and enhanced tissue penetration. However, existing RFP-based biosensors often suffer from small dynamic ranges, mislocalization and undesired photoconversion. In addition, the choice of available RFP-based biosensors is limited, and development of each biosensor requires substantial effort. Herein, we describe a general and convenient method, which introduces a genetically encoded noncanonical amino acid, 3-aminotyrosine, to the chromophores of green fluorescent protein-like proteins and biosensors for spontaneous and efficient green-to-red conversion. We demonstrated that this method could be used to quickly expand the repertoire of RFP-based biosensors. With little optimization, the 3-aminotyrosine-modified biosensors preserved the molecular brightness, dynamic range and responsiveness of their green fluorescent predecessors. We further applied spectrally resolved biosensors for multiplexed imaging of metabolic dynamics in pancreatic β-cells.
- Published
- 2020
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