Genetically encoded FRET-based optical sensor for Hg2+ detection and intracellular imaging in living cells

Exploring the landscape of FRET-based molecular sensors: Design strategies and recent advances in emerging applications

Probing biological processes in living organisms that could provide one-of-a-kind insights into real-time alterations of significant physiological parameters is a formidable task that calls for specialized analytic devices. Classical biochemical methods have significantly aided our understanding of the mechanisms that regulate essential biological processes. These methods, however, are typically insufficient for investigating transient molecular events since they focus primarily on the end outcome. Fluorescence resonance energy transfer (FRET) microscopy is a potent tool used for exploring non-invasively real-time dynamic interactions between proteins and a variety of biochemical signaling events using sensors that have been meticulously constructed. Due to their versatility, FRET-based sensors have enabled the rapid and standardized assessment of a large array of biological variables, facilitating both high-throughput research and precise subcellular measurements with exceptional temporal and spatial resolution. This review commences with a brief introduction to FRET theory and a discussion of the fluorescent molecules that can serve as tags in different sensing modalities for studies in chemical biology, followed by an outlining of the imaging techniques currently utilized to quantify FRET highlighting their strengths and shortcomings. The article also discusses the various donor-acceptor combinations that can be utilized to construct FRET scaffolds. Specifically, the review provides insights into the latest real-time bioimaging applications of FRET-based sensors and discusses the common architectures of such devices. There has also been discussion of FRET systems with multiplexing capabilities and multi-step FRET protocols for use in dual/multi-analyte detections. Future research directions in this exciting field are also mentioned, along with the obstacles and opportunities that lie ahead.

Genetically encoded protein sensors for metal ion detection in biological systems: a review and bibliometric analysis

Metal ions are indispensable elements in living organisms and are associated with regulating various biological processes. An imbalance in metal ion content can lead to disorders in normal physiological functions of the human body and cause various diseases. Genetically encoded fluorescent protein sensors have the advantages of low biotoxicity, high specificity, and a long imaging time in vivo and have become a powerful tool to visualize or quantify the concentration level of biomolecules in vivo and in vitro, temporal and spatial distribution, and life activity process. This review analyzes the development status and current research hotspots in the field of genetically encoded fluorescent protein sensors by bibliometric analysis. Based on the results of bibliometric analysis, the research progress of genetically encoded fluorescent protein sensors for metal ion detection is reviewed, and the construction strategies, physicochemical properties, and applications of such sensors in biological imaging are summarized.

A FRET Based Composite Sensing Material Based on UCNPs and Rhodamine Derivative for Highly Sensitive and Selective Detection of Fe3

The existence of excessive concentration of iron ion (Fe3+) in water will do harm to the environment and biology. Presently, sensitive and selective determination of Fe3+ directly in real environment samples is still a challenging job because of the high complexity of the sample matrix. In this work, we reported a new sensor system for Fe3+ based on fluorescence resonance energy transfer (FRET) from upconversion nanoparticles (UCNPs) to Rhodamine derivative probe (RhB). The NaYF4: Yb, Er@SiO2@P(NIPAM-co-RhB) nanocomposites was constructed, in which PNIPAm was used as the probe carrier. The nanocomposites can not only be excited by infrared light to avoid the interference of background light in the Fe3+ detection process, but also enhance the detection signal output through temperature control. Under the optimum conditions, the RSD (Relative standard deviation) of actual sample measurements ranges was from 1.95% to 4.96%, with the recovery rate from 97.4% to 103.3%, which showed high reliability for Fe3+ detection. This work could be extended to sensing other target ions or molecules and may promote the widespread use of FRET technique.

FRET-based probe for ratiometric detection and imaging of folic acid in real-time

Inadequate folic acid intake is linked to diseases such as megaloblastic anemia, neural tube defects, and hyperhomocysteinemia, increasing the risk of vascular disease and thrombosis. Folic acid, a cofactor in various enzymes, can be produced by plants and bacteria, but not by humans and other animals. L-5-methyl-tetrahydrofolate (L-5-methyl-THF) is the primary dietary folate form, transported in circulation for cellular metabolism. Traditional methods of determining folic acid levels are unreliable and time-consuming. SenFol (Sensor for folic acid) is a fluorescence resonance energy transfer (FRET)-based nanosensor that we have developed by inserting folic acid-binding protein (FolT) as the folate detecting domain between the pair of enhanced cyan fluorescent protein (ECFP) and Venus. The developed sensor is highly specific, produces a quick signal, which is pH stable, and delivers precise, ratiometric readings in cell-based experiments. The projected affinity score of folic acid with FolT was -7.4 kcal/mol. The apparent affinity (Kd) of SenFol for folic acid is 28.49 × 10-9 M, with a detection range of 5 × 10-9 M to 5 × 10-7 M, and a maximum FRET ratio change of 0.45. WT SenFol, a highly efficient folic acid nanosensor, can dynamically detect intracellular folic acid content in E. coli, yeast, and HEK-293 T cells, confirming its potential.

Genetically encoded fluorescent sensors for metals in biology

Metal ions intersect a wide range of biological processes. Some metal ions are essential and hence absolutely required for the growth and health of an organism, others are toxic and there is great interest in understanding mechanisms of toxicity. Genetically encoded fluorescent sensors are powerful tools that enable the visualization, quantification, and tracking of dynamics of metal ions in biological systems. Here, we review recent advances in the development of genetically encoded fluorescent sensors for metal ions. We broadly focus on 5 classes of sensors: single fluorescent protein, FRET-based, chemigenetic, DNAzymes, and RNA-based. We highlight recent developments in the past few years and where these developments stand concerning the rest of the field.

Construction of a mApple-D6A3-mediated biosensor for detection of heavy metal ions

Pollution of heavy metals in agricultural environments is a growing problem to the health of the world’s human population. Green, low-cost, and efficient detection methods can help control such pollution. In this study, a protein biosensor, mApple-D6A3, was built from rice-derived Cd²⁺-binding protein D6A3 fused with the red fluorescent protein mApple at the N-terminus to detect the contents of heavy metals. Fluorescence intensity of mApple fused with D6A3 indicated the biosensor’s sensitivity to metal ions and its intensity was more stable under alkaline conditions. mApple-D6A3 was most sensitive to Cu²⁺, then Ni²⁺, then Cd²⁺. Isothermal titration calorimetry experiments demonstrated that mApple-D6A3 successfully bound to each of these three metal ions, and its ability to bind the ions was, from strongest to weakest, Cu²⁺  > Cd²⁺  > Ni²⁺. There were strong linear relationships between the fluorescence intensity of mApple-D6A3 and concentrations of Cd²⁺ (0–100 μM), Cu²⁺ (0–60 μM) and Ni²⁺ (0–120 μM), and their respective R² values were 0.994, 0.973 and 0.973. When mApple-D6A3 was applied to detect concentrations of heavy metal ions in water (0–0.1 mM) or culture medium (0–1 mM), its accuracy for detection attained more than 80%. This study demonstrates the potential of this biosensor as a tool for detection of heavy metal ions.