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Despite decades of research and myriads of mutations leading to highly heterogeneous forms of RASopathies now mapped, genetic variants with unknown significance continue to emerge from sequencing efforts on undiagnosed patients. Indeed, in many cases, diagnosis based solely upon clinical features can be challenging and functional genomic approaches to validate sequencing results remain crucial. Moreover, despite some available anticancer molecules (i.e., MEK inhibitors) being proposed to treat a subset of RASopathies and some success stories starting to emerge, limited consensus exists. This is caused by poor preclinical evidence for most of the available drugs also when it comes to the effective doses of potent anticancer drugs and therapeutic windows for pediatric patients.
Functional analysis in animal models represents an important step for disease sub-classification, patients' stratification, and initial drug evaluation. Zebrafish can be an efficient in vivo model for functional validations of potentially pathogenic variants causing pediatric diseases, including RASopathies14. State-of-the-art phenotypic assessment of the impact of RASopathy-associated variants exist for zebrafish RASopathy models and are based mainly on morphological readouts -- the embryo "oval test", where body axes are measured at the end of gastrulation. However, correlation with ERK activation is commonly performed mainly by standard post-fixation methods -- immunoblots/IHC.
The pipeline we set up aimed to assess ERK fluctuation live that can rapidly test the potential efficacy of available drugs at the beginning of gastrulation, anticipating analysis of the resulting morphometric alterations. The protocol presented here begins with the generation of the desired transient zebrafish RASopathy model by overexpression of the GoF allele of interest as mRNA into the one-cell stage of the ERK in vivo reporter (Tg[ef1a:ERK biosensor-nes] Teen)6. In this EKAR-type FRET sensor, multispectral FRET imaging is a non-invasive, non-disruptive method that can be used to accurately detect ERK signal fluctuation spatially and temporally in live embryos that are physiological during development, aberrant in RASopathy models, and corrected by pharmacological signal modulation6,7.
Different critical steps of the presented pipeline should be considered to obtain informative results from embryos' samples. Given the known low sensitivity of FRET sensors15 and possible variable effects of the mutations affecting ERK signaling (especially for mutations not previously validated by standard methods), before setting the experiment, it is advisable to decide the type of experimental design (i.e., n. of groups and conditions) and thereby make an estimation of the required number of embryos (sample size, n) for the expected effect size and given standard values for type I and type II errors. It is also important to conduct pilot experiments to estimate the actual minimum n required to observe relevant differences between WT and mutant protein. Cross-validation of the FRET results using alternative and complementary approaches, such as IF or morphological assays (as indicated here) is also essential.
In general, a standard sample size of n = 30 can be appropriate to detect large effects of normally distributed values16. In detail, for a priori analysis of sample size, freely available programs such as “G-power”17 can be used, setting these standard parameters: significance level (α): typically set to 0.05; confidence level (1 - β): typically set to 95%; power of a hypothesis test: typically set to 80% (1 - β, where β is the probability of committing a Type II error); effect size d (the expected magnitude of differences among experimental groups) that can have different values depending on whether is large, medium or small, according to Cohen18; statistical variation (dispersion in a frequency distribution).
In the specific example provided a well-known large effect of the Shp2D61G mutant was also previously validated in zebrafish using morphological readouts and pilot live FRET experiments, including complementary assays such FRET on fixed samples as IF and morphological readouts were used to validate the observed effect (see in Fasano et al.7).
Moreover, mRNA of high quality is a key starting factor to generate appropriate transient disease models. Indeed, while it would be ideal to employ models genetically modified to recapitulate the heterozygosity of the patients, generation of these models is not compatible with the requirement for speedy test of emerging variants as it would necessitate to raise the line. Transient models that are generated and assessed only during embryogenesis are to be preferred for large screening.
However, to ensure the informativeness and reproducibility of the results special care should be taken in assessing the quality of the RNA. Besides classical formamide gels, RNA can be also checked using instruments such as the Bioanalyzer that provide direct quantification and visual electropherograms for quality inspection. High-quality RNA preparations look like a single sharp peak of the desired size. It is advisable to not proceed with microinjection if the RNA is conspicuously degraded. Importantly, when it comes to microinjection, for newly synthetized batches of mRNA, an initial experiment to calibrate the correct injection dose is a must. At this ideal dose, expression of the WT form of the mRNA of interest in siblings from the same batch should not cause visible phenotype.
As a general recommendation, when preparing embryos to inject, it would be best to obtain, collect, and assess embryos from mating single pairs (1 female + 1 male) to be sure to minimize batch variability. However, to increase embryo yield, fish spawning can be set up from group crosses with multiple males and females. In this case, collected embryos likely derive from more fertilization events occurring with slight delay within the tank and it is, therefore, important to accurately select individuals at the same developmental stage (early gastrulation) by inspecting embryos several times in the first 2 h after collection. To allow good embryo growth in the delicate initial phase, particular attention should be paid also to use all freshly prepared solutions. In addition, given the possible presence of fecal material and debris from the mating event, embryo batches’ contamination from fungi and bacteria can occur if embryos in E3 medium are not washed and cleaned starting immediately after collection. Viability of the embryos’ batch should be monitored before, during, and after the experiment. If mortality rate is above the standard rate (normally 20–30%), the experiment should be discontinued.
Regarding drug treatments, at least for the class of MEKi tested here, it is best to avoid treatments before 4 hpf, as these might irreversibly affect embryo development (toxicity), as described earlier19. Another critical step for the reliability of the experiment is to use the same concentration of drug vehicle (in this case DMSO) for all experimental conditions and avoid overcrowding of embryos per well during treatment to keep good levels of oxygenation (a maximum of 20 embryos should be kept in a 6-well plate).
Optimization of imaging parameters is also extremely important for the success of the pipeline that includes especially multispectral FRET imaging but also confocal imaging of IHC specimens. First, given the variability in transgene expression, a decisive aspect is to accurately select Teen embryos and discard those with very low expression, that, provided the low dynamic range of FRET sensors, might impede sufficient signal detection and quantification (see example Figure 2). Transgene expression can be visible under a standard stereomicroscope with fluorescent lamps and appropriate filter wheels ~2 h after injection.
In our experience for multispectral data acquisition of Teen sensor fish, laser settings and spectral dye definition acquisition mode parameters (x, y, λ, z) are critical initial steps of the microscope and hardware configurations and should be optimized based on the specific need. In principle, parameters should be set such that a good compromise between signal collection and speed of acquisition is reached. This is particularly important for real-time registrations on near-entire embryos, as shown here. Acquisition speed of 400–600 Hz with a step-size between 8 µm and 10 µm and setting a single scan per z plane might not provide cellular resolution but may be sufficient to capture dynamic ERK activity changes across embryos’ tissues. It is, in principle, possible to obtain images with near-cellular resolution with ad hoc microscope settings but at the expense of speed and 3D sampling. This might be interesting if only a certain cell population is investigated within the embryos also at later stages6.
Spectral dye separation can be performed with algorithms different from the one indicated here. Regardless, the selection of the reference region required to assign the best emission spectra for both CFP and YFP is crucial. To this purpose, it is advisable to check the consistency of the results obtained by selecting and averaging different ROIs, where the tissue/cell signal is clearly visible. At the end of the spectral acquisition and once dye spectral separation is obtained, ratiometric images can also be obtained starting from raw CFP and YFP scans and freely available Ratio functions in Fiji. Nevertheless, for visualizing and highlighting differences in FRET signal levels spatially, rescaling of the images might be advisable. In our hands, pseudocoloring using “smart” Look up tables (LUT) encoded within the free Fiji software works well to better show the ERK activation levels. Other LUTs and other scales can be chosen based on the user’s preference.
It should be stressed that the experimental pipeline presented here is limited to Teen sensors harboring CFP as donor (D) and Ypet (similar to YFP) as acceptor (A). Generally, when deciding the FRET reporter, one should consider the dynamic range of the sensors (the ability to detect small but significant changes) and the FRET efficiency (E), influenced by the D-A distance and orientation within the senor, as well as the spectral overlap between D emission and A absorption. Teen is an EKAREV sensor that, through optimized construct design, offers improved dynamic range and sensitivity (E) compared to previous versions. However, the relatively low-dynamic range, normally worse in vivo, can be considered the major limitation to this approach. Nevertheless, Sari et al. and Wong et al. showed that dynamic ERK changes physiologically occurring during development are nevertheless visible and measurable in Teen embryos and we observe signal fluctuations in a pharmacologically treated NS fish model6,9. However, we expect that extremely low ERK signal fluctuations might not be easy to assess using the method shown here. It will be important to test the performance of our pipeline with improved ERK biosensors that will likely be available in the future.
For the cross-validation of the results with IHC, a critical step is the quality of tissue fixation. Embryo tissue at 6 hpf is extremely delicate and thin and, therefore, sensitive to poor fixation and overfixation. Given the lot-to-lot quality and performance variability for fixative solutions, as well as for antibodies, fixation time and the success of the entire IHC protocol should be evaluated in a pilot experiment shortly before assessing experimental samples. Freshly prepared and sterile fixative is always advisable.
In summary, the experimental protocol shown here in the convenient zebrafish model represents a robust and relatively fast pipeline to assess the impact of selected NS alleles on ERK activation in gastrulating cells of early embryos. The method, which involves multispectral FRET imaging in the newly developed Teen sensor fish to detect live molecular fluctuations, surpasses classical IHC. Nevertheless, IHC can be used as a complementary approach to validate the results obtained. The approach anticipates classical phenotypic readouts, namely the major/minor axes ratio (“oval embryo” test), a gold-standard for RASopathy fish models, but measurable only by the end of gastrulation. The protocol can also be applied to test the ability of the proposed MEKi to correct signal and axes alterations in embryos.
Considering that we tested only the NS-associated shp2D61G allele and one drug, further development of the assay should include the assessment of the performance with respect to other RASopathy-associated mutations with different impacts on ERK activation and additional proposed drugs, doses, and treatment windows. It will be interesting to evaluate the sensitivity of this multilevel approach for other emerging variants affecting molecules at different levels of the RAS-MAPK signal cascade. Last, future standardization of a dedicated high-throughput method for ratiometric FRET imaging and quantification in dedicated high-content analysis systems would be required to boost variant testing.