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Genetically encoded FRET sensors using a fluorescent unnatural amino acid as a FRET donor
- Source :
- RSC Advances. 6:78661-78668
- Publication Year :
- 2016
- Publisher :
- Royal Society of Chemistry (RSC), 2016.
-
Abstract
- FRET sensors based on fluorescent proteins have been powerful tools for probing protein–protein interactions and structural changes within proteins. However, they are intrinsically limited by their large size and the requirement for N- or C-terminal fusions. In this report, a FRET-based sensor was developed by incorporating a fluorescent unnatural amino acid into glutamine-binding protein (GlnBP), which formed a FRET pair with green fluorescent protein (GFP). GFP was fused to the N-terminus of GlnBP, and the fluorescent unnatural amino acid was incorporated into the site for N138 in GlnBP. FRET sensors were tested that contained linkers of different length between GFP and GlnBP, and assay conditions were optimized by changing the pH and salt concentration of the assay buffer. Under optimal conditions, the best sensor protein produced a 1.9-fold increase in the FRET ratio upon L-Gln binding, whereas either no change or minimal change was seen using other amino acids, including the other 19 natural amino acids and D-Gln. This novel design strategy for FRET sensors overcomes the limitations of current FRET sensors, which require the use of two fluorescent proteins. Consequently, our strategy may prove useful for investigating protein–protein interactions and for probing changes in protein conformation.
- Subjects :
- 0301 basic medicine
chemistry.chemical_classification
General Chemical Engineering
General Chemistry
010402 general chemistry
01 natural sciences
Fluorescence
0104 chemical sciences
Amino acid
Green fluorescent protein
03 medical and health sciences
030104 developmental biology
Protein structure
Förster resonance energy transfer
Biochemistry
chemistry
Large size
Subjects
Details
- ISSN :
- 20462069
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- RSC Advances
- Accession number :
- edsair.doi...........1ee8bad1463a13105b82f37dfaab8216
- Full Text :
- https://doi.org/10.1039/c6ra17375f