Rational Design of Self-Quenched Rhodamine Dimers as Fluorogenic Aptamer Probes for Live-Cell RNA Imaging.

With the growing interest in the understanding of the importance of RNAs in health and disease, detection of RNAs in living cells is of high importance. Fluorogenic dyes that light up specifically selected RNA aptamers constitute an attractive direction in the design of RNA imaging probes. In this work, based on our recently proposed concept of a fluorogenic dimer, we aim to develop a robust molecular tool for intracellular RNA imaging. We rationally designed a fluorogenic self-quenched dimer (orange Gemini, o-Gemini) based on rhodamine and evaluated its capacity to light up its cognate aptamer o-Coral in solution and live cells. We found that the removal of biotin from the dimer slightly improved the fluorogenic response without losing the affinity to the cognate aptamer (o-Coral). On the other hand, replacing sulforhodamine with a carboxyrhodamine produced drastic improvement of the affinity and the turn-on response to o-Coral and, thus, a better limit of detection. In live cells expressing o-Coral-tagged RNAs, the carboxyrhodamine analogue of o-Gemini without a biotin unit displayed a higher signal as well as faster internalization into the cells. We suppose that less hydrophilic carboxyrhodamine compared to sulforhodamine can more readily penetrate through the cell plasma membrane and, together with its higher affinity to o-Coral, provide the observed improvement in the imaging experiments. The promiscuity of the o-Coral RNA aptamer to the fluorogenic dimer allowed us to tune a fluorogen chemical structure and thus drastically improve the fluorescence response of the probe to o-Coral-tagged RNAs.

µIVC-Useq: a microfluidic-assisted high-throughput functionnal screening in tandem with next generation sequencing and artificial neural network to rapidly characterize RNA molecules.

The function of an RNA is intimately linked to its three-dimensional structure. X-ray crystallography or NMR allow the fine structural characterization of small RNA (e.g., aptamers) with a precision down to atomic resolution. Yet, these technics are time consuming, laborious and do not inform on mutational robustness and the extent to which a sequence can be modified without altering RNA function, an important set of information to assist RNA engineering. On another hand, thought powerful, in silico predictions still lack the required accuracy. These limitations can be overcome by using high-throughput microfluidic-assisted functional screening technologies, as they allow exploring large mutant libraries in a rapid and cost-effective manner. Among them, we recently introduced the microfluidic-assisted In Vitro Compartmentalization (µIVC), an efficient screening strategy in which reactions are performed in picoliter droplets at rates of several thousand per second. We later improved µIVC efficiency by using in tandem with high throughput sequencing, thought a laborious bioinformatic step was still required at the end of the process. In the present work, we strongly increased the automation level of the pipeline by implementing an artificial neural network enabling unsupervised bioinformatic analysis. We demonstrate the efficiency of this "µIVC-Useq" technology by rapidly identifying a set of sequences readily accepted by a key domain of the light-up RNA aptamer SRB-2. This work not only shed some new light on the way this aptamer can be engineered, but it also allowed us to easily identify new variants with an up-to 10-fold improved performance.

µIVC-Seq: A Method for Ultrahigh-Throughput Development and Functional Characterization of Small RNAs.

For a long time, artificial RNAs have been developed by in vitro selection methodologies like Systematic Evolution of Ligands by EXponential enrichment (SELEX). Yet, even though this technology is extremely powerful to isolate specific and high-affinity binders, it is less suited for the isolation of RNAs optimized for more complex functions such as fluorescence emission or multiple-turnover catalysis. Whereas such RNAs should ideally be developed by screening approaches, conventional microtiter plate assays become rapidly cost-prohibitive. However, the advent of droplet-based microfluidics recently enabled us to devise microfluidic-assisted In Vitro Compartmentalization (µIVC), a strongly miniaturized and highly parallelized screening technology allowing to functionally screen millions of mutants in a single day while using a very low amount of reagent. Used in combination with high-throughput sequencing, the resulting µIVC-seq pipeline described in this chapter now allows rapid and semiautomated screening to be performed at low cost and in an ultrahigh-throughput regime.

A dimerization-based fluorogenic dye-aptamer module for RNA imaging in live cells.

Live-cell imaging of RNA has remained a challenge because of the lack of naturally fluorescent RNAs. Recently developed RNA aptamers that can light-up small fluorogenic dyes could overcome this limitation, but they still suffer from poor brightness and photostability. Here, we propose the concept of a cell-permeable fluorogenic dimer of self-quenched sulforhodamine B dyes (Gemini-561) and the corresponding dimerized aptamer (o-Coral) that can drastically enhance performance of the current RNA imaging method. The improved brightness and photostability, together with high affinity of this complex, allowed direct fluorescence imaging in live mammalian cells of RNA polymerase III transcription products as well as messenger RNAs labeled with a single copy of the aptamer; that is, without tag multimerization. The developed fluorogenic module enables fast and sensitive detection of RNA inside live cells, while the proposed design concept opens the route to new generation of ultrabright RNA probes.

Optimization of fluorogenic RNA-based biosensors using droplet-based microfluidic ultrahigh-throughput screening.

Biosensors are biological molecules able to detect and report the presence of a target molecule by the emission of a signal. Nucleic acids are particularly appealing for the design of such molecule since their great structural plasticity makes them able to specifically interact with a wide range of ligands and their structure can rearrange upon recognition to trigger a reporting event. A biosensor is typically made of three main domains: a sensing domain that is connected to a reporting domain via a communication module in charge of transmitting the sensing event through the molecule. The communication module is therefore an instrumental element of the sensor. This module is usually empirically developed through a trial-and-error strategy with the testing of only a few combinations judged relevant by the experimenter. In this work, we introduce a novel method combining the use of droplet-based microfluidics and next generation sequencing. This method allows to functionally characterize up to a million of different sequences in a single set of experiments and, by doing so, to exhaustively test every possible sequence permutations of the communication module. Here, we demonstrate the efficiency of the approach by isolating a set of optimized RNA biosensors able to sense theophylline and to convert this recognition into fluorescence emission.

Light-Up RNA Aptamers and Their Cognate Fluorogens: From Their Development to Their Applications.

An RNA-based fluorogenic module consists of a light-up RNA aptamer able to specifically interact with a fluorogen to form a fluorescent complex. Over the past decade, significant efforts have been devoted to the development of such modules, which now cover the whole visible spectrum, as well as to their engineering to serve in a wide range of applications. In this review, we summarize the different strategies used to develop each partner (the fluorogen and the light-up RNA aptamer) prior to giving an overview of their applications that range from live-cell RNA imaging to the set-up of high-throughput drug screening pipelines. We then conclude with a critical discussion on the current limitations of these modules and how combining in vitro selection with screening approaches may help develop even better molecules.