In silico description of fluorescent probes in vivo

How to Make the CUTiest Sensor in Three Simple Steps for Computational Pedestrians

Genetically encoded FRET sensors for revealing local concentrations of second messengers in living cells have enormously contributed to our understanding of physiological and pathological processes. However, the development of sensors remains an intricate process. Using simulation techniques, we recently introduced a new architecture to measure intracellular concentrations of cAMP named CUTie, which works as a FRET tag for arbitrary targeting domains. Although our method showed quasi-quantitative predictive power in the design of cAMP and cGMP sensors, it remains intricate and requires specific computational skills. Here, we provide a simplified computer-aided protocol to design tailor-made CUTie sensors based on arbitrary cyclic nucleotide-binding domains. As a proof of concept, we applied this method to construct a new CUTie sensor with a significantly higher cAMP sensitivity (EC50 = 460 nM).This simple protocol, which integrates our previous experience, only requires free web servers and can be straightforwardly used to create cAMP sensors adapted to the physicochemical characteristics of known cyclic nucleotide-binding domains.

Structure-based, in silico approaches for the development of novel cAMP FRET reporters

A significant contribution to the research in cAMP signaling has been made by the development of genetically encoded FRET sensors that allow detection of local concentrations of second messengers in living cells. Nowadays, the availability of a number of 3D structures of cyclic nucleotide-binding domains (CNBD) undergoing conformational transitions upon cAMP binding, along with computational tools, can be exploited for the design of novel or improved sensors. In this chapter we will overview some coarse-grained geometrical considerations on fluorescent proteins, CNBD, and linker peptides to draw simple qualitative rules that may aid the design of novel sensors. Finally, we will illustrate how the application of these simple rules can be used to describe the mechanistic basis of cAMP sensors reported in the literature.

The design of Förster (fluorescence) resonance energy transfer (FRET)-based molecular sensors for Ran GTPase

The application of FRET-based molecular biosensors provided confirmation of the central model of Ran GTPase function and led to important new insights into its physiological role. In many fields of cell biology, methods employing FRET are a standard approach that is becoming increasingly accessible due to advances in instrumentation and available fluorophores. However, the optimal design of a FRET sensor remains to be the cornerstone of any successful FRET application. Utilizing the recent literature on FRET applications and our studies on Ran, we outline the basic considerations involved in designing molecular FRET sensors. We point to several broadly applicable principles that were used in many different FRET sensors that can detect a wide range of molecular events. Using the FRET sensors for Ran that we created as examples, we then focus on the practical aspects of FRET assays. We describe the preparation of a bipartite FRET sensor consisting of ECFP-Ran and EYFP-importin beta and its validation as a reporter for FRET-based high throughput screening in small molecule libraries. Finally, we review the design and optimization of monomolecular FRET sensors that monitor the RanGTP-RanBP1 interaction, and of sensors detecting the RanGTP-regulated importin beta cargo release.