scholarly journals Single-Pair Fluorescence Resonance Energy Transfer Analysis of mRNA Transcripts for Highly Sensitive Gene Expression Profiling in Near Real Time

2013 ◽  
Vol 85 (16) ◽  
pp. 7851-7858 ◽  
Author(s):  
Zhiyong Peng ◽  
Brandon Young ◽  
Alison E. Baird ◽  
Steven A. Soper
Keyword(s):  
Gene Expression ◽  
Energy Transfer ◽  
Gene Expression Profiling ◽  
Real Time ◽  
Expression Profiling ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Single Pair ◽  
Highly Sensitive ◽  
Mrna Transcripts

scholarly journals AIE-Driven Fluorescent Polysaccharide Polymersome as Enzyme-responsive FRET Nanoprobe to Study the Real-time Delivery Aspects in Live-Cells

2021 ◽  
Author(s):  
Nilesh Umakant Deshpande ◽  
Mishika Virmani ◽  
Manickam Jayakannan
Keyword(s):  
Energy Transfer ◽  
Confocal Microscopy ◽  
Real Time ◽  
Fluorescence Resonance Energy Transfer ◽  
Imaging Techniques ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Live Cells ◽  
Intracellular Enzyme ◽  
Bio Imaging

We report aggregation induced emission (AIE) driven polysaccharide polymersome as fluorescence resonance energy transfer (FRET) nanoprobes to study their intracellular enzyme-responsive delivery by real-time live-cell confocal microscopy bio-imaging techniques. AIE...

scholarly journals Designing and Development of FRET-Based Nanosensor for Real Time Analysis of N-Acetyl-5-Neuraminic Acid in Living Cells

2021 ◽  
Vol 8 ◽  
Author(s):  
Ruphi Naz ◽  
Mohammad K. Okla ◽  
Urooj Fatima ◽  
Mohd. Mohsin ◽  
Walid H. Soufan ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Metabolic Engineering ◽  
Sialic Acid ◽  
Real Time ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Neuraminic Acid ◽  
Yeast Cells ◽  
Metabolite Level ◽  
Health Maintenance

N-acetyl-5-neuraminic acid (NeuAc) plays crucial role in improving the growth, brain development, brain health maintenance, and immunity enhancement of infants. Commercially, it is used in the production of antiviral drugs, infant milk formulas, cosmetics, dietary supplements, and pharmaceutical products. Because of the rapidly increasing demand, metabolic engineering approach has attracted increasing attention for NeuAc biosynthesis. However, knowledge of metabolite flux in biosynthetic pathways is one of the major challenges in the practice of metabolic engineering. So, an understanding of the flux of NeuAc is needed to determine its cellular level at real time. The analysis of the flux can only be performed using a tool that has the capacity to measure metabolite level in cells without affecting other metabolic processes. A Fluorescence Resonance Energy Transfer (FRET)-based genetically-encoded nanosensor has been generated in this study to monitor the level of NeuAc in prokaryotic and eukaryotic cells. Sialic acid periplasmic binding protein (SiaP) from Haemophilus influenzae was exploited as a sensory element for the generation of nanosensor. The enhanced cyan fluorescent protein (ECFP) and Venus were used as Fluroscence Resonance Energy Transfer (FRET) pair. The nanosensor, which was termed fluorescent indicator protein for sialic acid (FLIP-SA), was successfully transformed into, and expressed in Escherichia coli BL21 (DE3) cells. The expressed protein of the nanosensor was isolated and purified. The purified nanosensor protein was characterized to assess the affinity, specificity, and stability in the pH range. The developed nanosensor exhibited FRET change after addition to NeuAc. The developed nanosensor was highly specific, exhibited pH stability, and detected NeuAc levels in the nanomolar to milimolar range. FLIP-SA was successfully introduced in bacterial and yeast cells and reported the real-time intracellular levels of NeuAc non-invasively. The FLIP-SA is an excellent tool for the metabolic flux analysis of the NeuAc biosynthetic pathway and, thus, may help unravel the regulatory mechanism of the metabolic pathway of NeuAc. Furthermore, FLIP-SA can be used for the high-throughput screening of E. coli mutant libraries for varied NeuAc production levels.

Sign in / Sign up

Export Citation Format

Share Document