Method Article
RASopathies are multisystem genetic syndromes caused by RAS-MAPK pathway hyperactivation. Potentially pathogenic variants awaiting validation emerge continuously while poor preclinical evidence limits therapy. Here, we describe our in vivo protocol to test and cross-validate RASopathy-associated ERK activation levels and its pharmacological modulation during embryogenesis by live FRET imaging in Teen-reporter zebrafish.
RASopathies are genetic syndromes caused by ERK hyperactivation and resulting in multisystemic diseases that can also lead to cancer predisposition. Despite a broad genetic heterogeneity, germline gain-of-function mutations in key regulators of the RAS-MAPK pathway underlie the majority of the cases, and, thanks to advanced sequencing techniques, potentially pathogenic variants affecting the RAS-MAPK pathway continue to be identified. Functional validation of the pathogenicity of these variants, essential for accurate diagnosis, requires fast and reliable protocols, preferably in vivo. Given the scarcity of effective treatments in early childhood, such protocols, especially if scalable in cost-effective animal models, can be instrumental in offering a preclinical ground for drug repositioning/repurposing.
Here we describe step-by-step the protocol for rapid generation of transient RASopathy models in zebrafish embryos and direct inspection of live disease-associated ERK activity changes occurring already during gastrulation through real-time multispectral Förster resonance energy transfer (FRET) imaging. The protocol uses a transgenic ERK reporter recently established and integrated with the hardware of commercial microscopes. We provide an example application for Noonan syndrome (NS) zebrafish models obtained by expression of the Shp2D61G. We describe a straightforward method that enables registration of ERK signal change in the NS fish model before and after pharmacological signal modulation by available low-dose MEK inhibitors. We detail how to generate, retrieve, and assess ratiometric FRET signals from multispectral acquisitions before and after treatment and how to cross-validate the results via classical immunofluorescence on whole embryos at early stages. We then describe how, via examining standard morphometric parameters, to query late changes in embryo shape, indicative of a resulting impairment of gastrulation, in the same embryos whose ERK activity is assessed by live FRET at 6 h post fertilization.
RASopathies are genetic syndromes that impair normal development and affect various organs and tissues. These conditions are often caused by germline gain-of-function (GoF) mutations in the key genes and players involved in RAS/MAK signaling, resulting in a hyperactivation (increased phosphorylation) of the extracellular signal-regulated kinase (ERK). ERK regulates some fundamental processes important during development-tissue growth-by translocating to the nucleus1,2. Somatic mutations in genes involved in the RAS-MAPK pathway are the most common events leading to cancer3. Thus, not surprisingly, cancer predisposition is also observed in RASopathies. Noonan syndrome (NS), characterized by developmental delay, short stature, cognitive deficits with variable severity, and cardiomyopathy, is the most common form of RASopathy2. In most cases, the disease is caused by GoF mutations in PTPN11, the first RASopathy gene to be discovered in early 20004 encoding for the protein tyrosine phosphatase SHP2, which acts as a positive regulator of the pathway.
Since then, thanks to the exponential use of exome sequencing approaches in undiagnosed patients, potentially pathogenic variants affecting factors involved in the RAS-MAPK, and likely linked to various forms of RASopathies, continue to be discovered and await functional characterization for efficient patients' stratification2. To achieve this goal, experimental protocols that guarantee fast and informative functional validation at the organismal level are required. Employing classical and standardized mammalian models to test variants with unknown significance would be costly, extremely time-consuming, and require invasive methods in non-transparent large animals. Such a strategy is clearly not compatible with the requirement for fast testing, given the societal burden represented by poor or undiagnosed RASopathy patients, currently without management or treatment. Protocols for quantitative assessment of key phenotypic traits and molecular correlates in entire organisms would also serve to accelerate the possible clinical translation of drugs possibly available to RASopathy patients by repurposing/repositioning.
Zebrafish is an ideal vertebrate model to study diseases that affect early development. As a start, zebrafish share a high level of genetic homology with humans. The high fecundity of adult fish results in a large production of embryos that are small and develop fast. Embryos are transparent at early stages, such that major developmental processes-epiboly, gastrulation, axes, and body plan formation-can be visualized effortlessly using standard microscopy. In addition, the availability of transgenic lines that can be used to track specific cellular behavior and dynamic molecular events in space and time during development, in conjunction with advanced techniques to generate genetic models, is unbeatable. Furthermore, phenotypic readouts can be assessed at multiple levels in zebrafish (from organismal to cellular defects), and dedicated assays are already established for several diseases, including RASopathies5. Moreover, relatively simple bath-immersion methods for drug administration during the early stages, at least for water-soluble compounds, permit high-throughput drug screening in vivo in a 96-well format.
From a molecular point of view, studies using standard approaches, such as immunohistochemistry and immunoblot, robustly demonstrate the correlation between ERK activation and RASopathy-associated developmental defects in fish embryos6,7. The recently developed EKAR-type FRET biosensor in zebrafish (Tg[ef1a:ERK biosensor-nes], Teen) provides a reliable in vivo tool to register ERK activation during embryogenesis in a spatiotemporally resolved manner. Hence, it could be valuable for better assessment of dynamic ERK alterations and pharmacological modulations in RASopathy fish models.
In the Teen sensor, a specific ERK substrate in the reporter is phosphorylated upon ERK activation, triggering a conformational change that brings in close vicinity the fluorescent CFP donor (D) and the fluorescent Ypet (improved YFP) acceptor (A). If the D emission spectrum overlaps considerably with the absorption spectrum of the A, FRET can occur (energy absorption from D to A). This is proportional to the distance between D and A and, therefore, in Teen, to the ERK activation status. Different imaging protocols can be set up using both standard and advanced imaging modules of standard or confocal microscopes in both live and fixed samples. Upon D excitation, the acquisition of multispectral scans along a defined spectrum of emission (λ) from CFP to YFP followed by spectral "unmixing" algorithms is among the most reliable methods to register and quantify FRET data8. It can be applied also to live zebrafish specimens to record in vivo tissue dynamics.
Following previous reports6,9 and our recent application7, here, we detail the step-by-step workflow using Teen fish to assess ERK activation in cells at the margin of the animal pole of NS models at the beginning of gastrulation and correlate it with characteristic body axes defects visible only later in development. We show how to obtain and examine quantitative FRET data from live NS gastrulae before and after treatment with an available MEKi and how to cross-validate the results via standard immunohistochemistry against phosphorylated (active) ERK or perform correlative morphometric analysis of embryo elongation defects.
The workflow could be applied to boost the functional test of emerging variants and disease genes putatively associated with RASopathies and to get insights into the correlation of ERK activation dynamics spatially and temporally during vertebrate development and the morphological defects in embryos. We show that this protocol can also be used to test the efficacy of candidate drugs acting to modulate ERK activation.
All experimental procedures involving animals' housing and breeding were conducted according to ARRIVE guidelines for the use of zebrafish in animal research and authorized by the Italian Ministry of Health (Direzione Generale della Sanità Animale e dei Farmaci veterinari - DGSAF). All the DNA/RNA reactions and imaging sessions may be scaled up or down as desired, depending on the final material required or the number of genes and variants tested.
1. Generation and drug treatment of transient zebrafish RASopathy models
NOTE: To monitor the expression of RASopathy-associated variants, specific constructs harboring the desired coding sequence (cds) of the protein of interest in frame with the cds of small non-fluorescent tags (such as myc or similar) can be used. This way, expression levels of the mutant protein can be assessed by standard western blot against the tag. If antibodies against the specific protein of interest are available, tags can be avoided. Immunofluorescence can also be used to assess protein expression within embryo tissue following standard protocols. This type of a control experiment can be useful to correlate mutant protein expression with induced ERK activation levels. The use of fluorescent tags is not advisable in combination of FRET imaging, given the possible fluorescence emission cross-talks during microscopy.
2. Live multispectral FRET imaging of RASopathy zebrafish models at gastrula stage and data analysis
3. IHC validation of the FRET results and correlative morphometric analysis of gastrulation defects
This protocol shows a simple workflow to quickly generate transient RASopathy models in zebrafish embryos and assess ERK fluctuations in early mutants with a standard live FRET imaging method applied to a recently established ERK zebrafish sensor6,9. As recently shown6,7 within the same experimental workflow, FRET results can be cross-validated by standard IHC against phosphorylated and total ERK on whole embryos. Impairment of body axes formation correlating with increased ERK activation can be followed at later stages, even in the same embryos used for FRET7. Here, typical ERK fluctuations in early gastrulae registered by FRET are shown, which are linked to the expression of NS-causing Shp2D61G. Data were also acquired from mutants in which the signal was negatively modulated by low-dose treatment with a MEKi, inhibiting the RAS/MAPK signaling cascade.
To generate NS models, we first produced high-quality capped and polyadenylated mRNA encoding Shp2 (wild-type and mutant form) by in vitro transcription from a suitable linearized plasmid harboring shp2 full-length CDS. As shown in Figure 1A, when most of the plasmid is successfully linearized ("cut"), a sharp band can be observed running in a standard 1-1.5% agarose gel (here in the example of the size of 7,500 bp) while the "uncut "DNA, used here as a control of undigested plasmid, displays different possible conformations, typical of undigested circular DNA. Capped and polyadenylated mRNA can be then produced in vitro. On the agarose gel containing formamide,intact RNA should look like a conspicuous band around the expected size (Figure 1A, right) without noticeable smear (indicative of mRNA degradation) or presence of smaller fragments. It is advisable not to proceed if fragmented or degraded RNA is obtained. The preparation should be repeated upon troubleshooting. As shown in the schematics of Figure 1B, good quality capped and polyadenylated mRNA encoding the desired RASopathy allele and a WT control (in our case Shp2D61G and Shp2WT as control) can then be injected into one-cell stage zebrafish embryos expressing the Teen reporter. Embryos are then raised until the desired stage (here early stages during gastrulation).
Figure 2 illustrates schematics and representative results of the workflow used to register FRET signals in our RASopathy model in vivo. Teen+ gastrulae expressing the mutant NS allele Shp2D61G raised and collected at the desired stage (4 hpf) were mounted in 1.5% low-melting agar (LMA) in E3 medium (Figure 2A). An example of general microscope settings and the lambda (λ) stack acquisition settings we used to obtain multispectral FRET imaging from donor excitation (405 nm) in Teen embryos is shown in Figure 2B. Importantly, to ensure enough spectra collection, we set the λ bandwidth at 5 nm. We used a relatively high step size (here 8 nm) to obtain a x, y, λ, z scans in a reasonable time, considering the live acquisition mode (acquisitions with approximately 13 min time interval).
After image acquisition, the recorded signal intensity was inspected along the entire λ spectrum to assign the best emission windows and proceed to spectra CFP (D) and Ypet (A) unmixing (Figure 2C, left). Here, by inspecting the margin region of the animal pole of the embryo by an ROI-based approach built-in in the software Spectral dye separation wizard, we focused on assigning the best emission spectral windows for the two fluorophores, avoiding any spectral overlapping between D and A molecules. Representative raw single channels (CFP or Ypet, green and red, respectively) obtained by this approach and the FRET/CFP ratiometric image (gray) resulting from applying the Ratio function are shown in Figure 2C, right top panel. The bottom panel shows a representative suboptimal result from Teen reporter embryos, which occasionally show insufficient signal intensity, as often observed within a population of transgenic fish. These embryos should be discarded beforehand, and care should be used to assess embryos with similar levels of Teen expression in the analysis.
After signal inspection at the margin of the animal pole, where ERK activity is concentrated during epiboly and gastrulation cell movements, image rendering was performed using "smart" LUT pseudocoloring in Fiji. This allows for better visualization of spatial signal intensity differences on the resulting ratiometric image. The resulting ratiometric FRET images in Figure 2D already show a clear trend of signal intensity reduction in Shp2D61G in the margin region after approximately 13 min of treatment with the selected MEKi, PD0325901 (here PD) at low doses (0.25 µM)7. The data demonstrate the suitability of the Teen sensor and the multispectral FRET imaging protocol used here to detect live dynamic ERK changes in a RASopathy model during early stages of development, as well as the fine modulation of disease-associated signal upon low-dose MEKi treatment.
In parallel, we validated the results of our FRET approach applied to RASopathy fish models by fluorescence IHC against total ERK (t-ERK) and its phosphorylated (p-ERK) form. By normalizing the signal obtained (p-ERK/t-ERK) within an ROI, cells with high ERK levels emerge. Figure 3 shows an example of ERK activity validation via IHC for Shp2WT, Shp2D61G, and Shp2D61G treated with low-dose PD from 4 hpf to 6 hpf (longer treatment as compared to the 13 min treatment window shown during live FRET imaging). Immunostaining was performed using fluorescent secondary antibodies with non-overlapping emission spectra for t-ERK and p-ERK (488 and 633 nm, respectively).
The 6 hpf embryos were mounted in 1.5% LMA dissolved in PBS and standard confocal settings were set to obtain x,y,z scans of the entire embryo volume (Figure 3A,B). Standard confocal settings with 512 x 512 px resolution at 400 Hz allow us to inspect signal localization, important to determine the good outcome of the immunofluorescence prior to signal quantification. As expected, and as shown in the representative result, for t-ERK (green), we observed a near-ubiquitous staining within the cells of the margin, while p-ERK (red) signal was mostly confined to the nuclei (Figure 3C). Raw images, as single-channel and merged images, were processed initially by performing a z-stack projection to obtain whole-embryo images. Pseudocoloring of p-ERK (cherry) was applied to better resolve the contrast with t-ERK (green) (Figure 3D). Compared to Shp2WT, in Shp2D61G an increase in the number of p-ERK+ nuclei within the margin region could be observed, which was rescued in Shp2D61G embryos treated from 4 hpf to 6 hpf with 0.25 µM PD. The data confirm the results obtained by FRET imaging and demonstrate the effective molecular modulation obtained by the low-dose MEKi of choice. Similar to FRET images, the signal from single channel z-stack acquisitions was then inspected in the animal pole margin region using ROI-based analysis using Fiji, and p-ERK and t-ERK values were measured separately and extracted for follow-up normalization (p-ERK/t-ERK) and statistical analysis (Figure 3E).
Last, Figure 4 provides representative morphometric data that can be obtained and measured, ideally on the same samples from live FRET imaging and subsequentially raised from 6 to 11/12 hpf or on their siblings. Altered measurements of the minor and major axes (major/minor axes ratio) at this embryonic stage can indeed highlight gastrulation movements defects associated with RASopathy. The data can be used to examine the phenotypic outcome of new variants discovered in patients with uncertain pathogenicity and to correlate the strength of the phenotype with that of the molecular alteration (ERK activation) measured with FRET. In the example here, siblings of the Teen embryos (control group 1: Shp2WT as well as groups 2 and 3: Shp2D61G and Shp2D61G treated with low-dose PD between 4 and 6 hpf) were raised separately until 11 hpf and then fixed in 4% PFA (Figure 4A) to avoid further embryo development that could interfere with data comparison across individuals. Images of lateral embryos were acquired using a simple brightfield modality available for standard settings. Embryo elongation was assessed in terms of major and minor axes measurements (Figure 4B,C). The results measures (Figure 4D) reflect and corroborates the data obtained with FRET imaging and demonstrate a correlation between dynamic ERK activity at the margin of the animal pole and gastrulation outcomes. Altogether, the representative dataset shown here for the NS-associated allele shp2D61G with or without treatment MEKi PD0325901 shows the utility of the multispectral FRET imaging in Tg[ef1α:ERK biosensor-nes] (Teen) reporter fish to predict variants' pathogenicity for NS in early embryo.
Figure 1: Analysis of plasmid and mRNA preparations required to generate transient NS zebrafish models. (A) The panel depicts a schematic and representative results of the DNA electrophoresis outcome visualized at a UV transilluminator, used to assess efficient plasmid linearization and good-quality mRNA transcription. Linearized plasmids ("cut") are obtained by digestion with a restriction enzyme (in this case KpnI) and compared with the undigested control plasmid ("uncut"). A single band running faster than the "uncut" should be ideally observed upon plasmid linearization. Plasmid size: ~ 7,500 bps: (backbone plasmid + shp2 CDS). Note how the "uncut" circular plasmid displays different DNA forms of relaxed and supercoiled molecules. A 1 kb ladder (lane 1), whose molecular weight fragments ranged from 0.5 to 10 kilobases (kb), was loaded on the same gel for DNA fragments' size inspection. On the right, a representative gel run of freshly transcribed mRNAs is shown (in this example, transcribed mRNAs encoding Rasopathy-associated human SPRED2). Two ladders that run slightly differently (DNA ladder, lane 1 and RNA ladder, lane 2) with similar molecular range from 0.5 to 10 kb are loaded for RNA fragments' size inspection. (B) Schematic overview depicting the use of the transcribed mRNAs encoding RASopathy-associated variants to generate transient disease models by injection into one-cell stage zebrafish embryos. mRNA encoding wild-type form of the protein of interest is injected as control. The mRNA mixture is prepared in Deneau's solution with the vital dye Phenol Red. Embryos are raised and assessed using microscopy at 6 hpf (for FRET and IHC assays) or at 11/12 hpf (for body axes). Abbreviations: NS = Noonan syndrome; CDS = coding sequence; FRET = Fluorescence resonance energy transfer ; IHC = immunohistochemistry ; hpf = hours post fertilization . Please click here to view a larger version of this figure.
Figure 2: Workflow and representative results of live multispectral FRET imaging in early Teen Shp2D61G embryos before and after MEKi treatment. (A) Overview of the steps required for live spectral FRET imaging in zebrafish samples. Embryos raised and staged in E3 medium were mounted in a glass-bottom dish in 1.5% LMA for live spectral FRET acquisition. FRET imaging is performed before and after low-dose PD0325901 administration. A schematic of the Teen reporter system developed by Sari et al. is shown9. Ratiometric images (FRET/CFP) are obtained in postprocessing. (B) Details of the microscope and multispectral imaging acquisition settings in LAS X software for both fluorophores (CFP, D; Ypet, A). (C) Commands and method to obtain spectral dye separation and ratiometric images applied to a Shp2D61GTeen gastrulae. On the left, a strong signal from the animal pole margin was selected for spectral separation with an ROI selection tool. On the top right, settings and representative outcomes of resulting images for both D and A channels as maximum intensity z-projections from a single fish are shown, as well as settings to obtain the ratiometric image and representative results. The margin region at the embryo animal pole with high FRET signal is indicated (dotted yellow line). (D) Left panel: schematics of the ROI selection on the margin (dotted yellow line) from the raw ratiometric image for data analysis in Fiji. Representative FRET/CFP images generated via the "smart" LUT plugin of Fiji are shown to visualize changes in ERK activation in embryo expressing Shp2D61G compared to Shp2WT (middle panel) or in the same Shp2D61G embryo before and after PD treatment (right panel). For this experiment, raw intensity density values of the selected ROI are shown. Scale bar is indicated. Abbreviations: FRET = Fluorescence resonance energy transfer; MEKi = Mitogen-activated protein Kinase Enzymes inhibitor; LMA = low-melting agarose; CFP = cyan fluorescence protein ; Ypet = yellow fluorescence protein; D = donor; A = acceptor; ROI = region of interest; ERK = Extracellular signal-Regulated Kinase. Please click here to view a larger version of this figure.
Figure 3: Workflow and representative results of IHC against t-ERK and p-ERK in Shp2D61G early embryos with or without MEKi treatment. (A) Schematics illustrating the collection of zebrafish samples immunostained against t-ERK (488) and p-ERK (633) and mounted in 1.5% LMA/PBS for confocal z-stack acquisitions. (B) Confocal microscope settings for two laser lines (488, 633 nm), used to capture sequentially the fluorescent signals deriving from the fluorescently conjugated secondary antibodies. The inset illustrates Z-stack parameters for the acquisition of multistack raw images with acceptable resolution. (C) Schematics (left panel) and representative raw confocal images (right panel) of correctly stained zebrafish gastrulae at 6 hpf showing ubiquitous and mostly nuclear localization of t-ERK (green) and p-ERK (red), respectively, at the margin of the animal pole. (D) Representative maximum intensity z-projections from confocal stacks of 6 hpf embryos expressing Shp2WT (control), Shp2D61G , as well as Shp2D61G after treatment with 0.25 µM of PD0325901 between 4 and 6 hpf. Images are shown as single 633 nm channel (here p-ERK, pseudocolored in cherry) and combined (p-ERK in cherry and t-ERK in green). (E) In the small inset schematics of the ROI selection on the margin region (dotted yellow line) from the raw z-stack images for data analysis in Fiji is shown. Zooms of the z-stacks images showing the margin region are included, as well as the raw intensity density measures retrieved and assessed to infer ERK activation in the ROI from siblings expressing Shp2WT or the Shp2D61G with or without 0.25 µM PD0325901 treatment. The scale bar is indicated in the image panels. Abbreviations: IHC = immunohistochemistry; ERK = Extracellular signal-Regulated Kinase; t-ERK = total Extracellular signal-Regulated Kinase; p-ERK = phosphorylated Extracellular signal-Regulated Kinase; FRET = Fluorescence resonance energy transfer; MEKi = Mitogen-activated protein Kinase Enzymes inhibitor; LMA = low-melting agarose; PBS = phosphatase buffer saline; hpf = hours post fertilization; ROI = region of interest. Please click here to view a larger version of this figure.
Figure 4: Morphological analysis at 11 hpf. (A) Embryos were raised in E3 medium until the desired developmental stage, here 11 hpf, then fixed in 4% PFA, kept in 1x PBS, and arranged laterally in wells for microscope image acquisition and axes assessment. (B) Image acquisition settings in a standard stereomicroscope and one example of the resulting image showing a whole embryo (here Shp2WT) assessed with bright-field mode. (C,D) Representative results and axes measurements outcomes in Shp2WT (control), Shp2D61G , and Shp2D61G after treatment with 0.25 µM PD0325901 between 4 and 6 hpf. Embryo outline is indicated by a dotted black line. The scale bar is indicated in the image panels. Abbreviations: hpf = hours post fertilization; PFA = paraformaldehyde; PBS = phosphatase buffer saline. Please click here to view a larger version of this figure.
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.
We thank Dr. Jeroen den Hertog (Hubrecht Institute, Utrecht, Netherlands) for kindly providing pCS2+_eGFP-2a-Shp2a from which the shp2 full-length CDS was extracted to generate the plasmid template we used7. We thank Nara Institute of Science and Technology (Takaaki Matsui), National Institute of Genetics (NIG/ROIS) (Koichi Kawakami), for providing the transgenic Teen reporter line. This work was supported by the Italian Ministry of Health - Current Research Funds 2021 and Current Research Funds 2024 and Ricerca Finalizzata Giovani Ricercatori GR-2019-12368907 to AL; Current Research Funds 2019, PNRRMR1-2022-12376811, 5x1000 2019, AIRC (IG-21614 and IG-28768) and LazioInnova (A0375-2020-36719) to MT.
Name | Company | Catalog Number | Comments |
Plasticwares | |||
1.7 L Breeding Tank - Beach style Design | Tecniplast | 1.7L SLOPED | Breeding tank |
Capillaries GC100F-10 | Harvard apparatus | 30-0019 | One-cell stage embryo microinjection |
Cell and Tissue Culture Plates - 12 well | BIOFIL | TCP011012 | Embryo collection and treatment |
Cell and Tissue Culture Plates - 6 well | BIOFIL | TCP011006 | Embryo collection and treatment |
Cell Culture Dish | SPL Life Sciences | 20100 | Embryo collection |
Nunc Glass Dishes 12mm | Thermo Fisher | 150680 | Embryo FRET spectral imaging |
Pipette Pasteur | Corning | 357524 | Embryo transfer |
Protein Lobind Tubes 2ml | Eppendorf | 30108450 | IHC assay |
Reagents and others | |||
Caviar 500-800 µm | Rettenmaier Italia | BE2269 (500-800) | Dry fish food |
Great Salt Lake Blue Artemia Cysts | Sanders | 00004727 | Live fish food |
Instant Ocean salt | Tecniplast | XPSIO25R | Dehydrated sea salt for live food preparation |
Tg(EF1a:ERK Biosensor-nes) (Teen) | Contacts for ordering*: National BioResource Project Zebrafish, Support Unit for Animal Resources Development, RRD, RIKEN Center for Brain Science, Japan. https://shigen.nig.ac.jp/zebra/index_en.html *upon MTA signature. | - | Supplier of ERK Reporter zebrafish line. Fish embryos can be obtained upon MTA signature from National BioResource Project of Japan for Zebrafish (RIKEN, Japan). The zebrafish line is deposited by Nara Institute of Science and Technology (Takaaki Matsui) and the National Institute of Genetics (NIG/ROIS) (Koichi Kawakami, patent for Tol2 system) (Wong et al., 2018, Urasaki et al., 2006, Okamoto and Ishioka, 2010). |
6x loading dye | Cell Signaling | B7024S | Gel Elecrophoresis |
100 bp DNA ladder | NEB | N3231S | Gel Elecrophoresis |
Agarose | Sigma-Aldrich | 1,01,236 | Gel Elecrophoresis |
Agarose, low gelling temperature | Sigma-Aldrich | A9414-10G | Embryo mounting for FRET spectral imaging and IHC assay |
Bovine Serum Albumin (BSA) | Sigma-Aldrich | A8022 | IHC assay |
Calcium chloride | Sigma-Aldrich | 223506 | E3 medium component |
Calcium nitrate | Sigma-Aldrich | 237124 | Danieau stock solution component |
Dimethyl Sulfoxide (DMSO) | Sigma-Aldrich | D8418-100ML | IHC assay |
EDTA | Sigma-Aldrich | E9884 | TBE buffer component for gel preparation |
Ethanol 99%+ | Fisher Scientific | 10048291 | In vitro RNA purification |
Formaldeide 16% | Thermo Fisher | 28908 | Embryo fixation |
Formamide | Sigma-Aldrich | F9037 | Gel Elecrophoresis |
Gel Loading Buffer II (Denaturing PAGE) | Thermo Fisher | AM8546G | In vitro RNA transcription |
Glacial Acetic Acid | Sigma-Aldrich | 695092 | TBE buffer component for gel preparation |
Glycerol | Sigma-Aldrich | G6279-1L | IHC assay |
Goat anti-mouse Alexa Fluor 488 | Thermo Fisher | A11001 | IHC assay |
Goat anti-rabbit Alexa Fluor 633 | Thermo Fisher | A21070 | IHC assay |
HEPES | Sigma-Aldrich | H3375 | Danieau stock solution component |
KpnI - HF (Enzyme + rCutSmart Buffer) | NEB | R3142 | Plasmid linearization |
Magnesium sulfate | Sigma-Aldrich | 230391 | E3 medium component/Danieau stock solution component |
Millennium RNA Markers | Thermo Fisher | AM7150 | Gel Elecrophoresis |
Monarch Genomic DNA purification Kit | NEB | T3010L | Plasmid linearization |
Mouse monoclonal p44/42 MAPK | Cell Signaling | 4696S | IHC assay |
mMACHINE SP6 Transcription Kit | Thermo Fisher | AM1340 | In vitro RNA transcription |
Normal Goat serum (NGS) | Sigma-Aldrich | G9023 | IHC assay |
Nuclease-free water Ambion | Thermo Fisher | AM9937 | In vitro RNA transcription |
PD0325901 | Sigma-Aldrich | PZ0162 | MEK inhibitor |
Phenol Red solution | Sigma-Aldrich | P0290 | Microinjection mix component |
Poly A Tailing Kit | Thermo Fisher | AM1350 | In vitro RNA transcription |
Potassium chloride bioxtra | Sigma-Aldrich | P9333 | E3 medium component/Danieau stock solution component/PBS stock solution component |
Potassium dihydrogen phosphate | Sigma-Aldrich | P0662 | PBS stock solution component |
Proteinase K | Sigma-Aldrich | P2308 | IHC assay |
Rabbit polyclonal phospho-p44/42 MAPK | Cell Signaling | 4695S | IHC assay |
SYBR safe DNA gel staining | Thermo Fisher | S33102 | Gel Elecrophoresis |
Sodium Chloride | Sigma-Aldrich | 31434-M | E3 medium component/Danieau stock solution component/PBS stock solution component |
Sodium phosphate dibasic | Sigma-Aldrich | 71643 | PBS stock solution component |
Trizma base | Sigma-Aldrich | T1503 | TBE buffer component for gel preparation |
Triton X-100 | Sigma-Aldrich | T8787 | PBSTr buffer component |
Equipment | |||
Alliance Mini HD9 | Uvitec | - | Imaging system |
Centrifuge 5430 R | Eppendorf | 5428000205 | Microcentrifuge |
Eppendorf ThermoMixer C | Eppendorf | - | Embryo mounting |
FemtoJet 4x | Eppendorf | - | Microinjection system |
Infinite M Plex | Tecan | - | Multimode plate reader |
Leica M205FA | Leica Microsystems | - | Fluorescence stereo microscope |
Leica TCS-SP8X equipped with incubator (OkoLab) | Leica Microsystems | - | Confocal microscope |
Mini-sub Cell GT Horiziontal Electrophoresis System | Bio-Rad | 1704406 | Gel Elecrophoresis |
PC-100 Vertical puller | Narishige | - | Needle puller |
PowerPac Universal Power Supply | Bio-Rad | 1645070 | Gel Elecrophoresis |
Stellaris 5 | Leica Microsystems | - | Confocal microscope |
Vortex MiniStar silverline | VWR | - | Plasmid preparation |
Softwares | |||
Biorender | Biorender | CC-BY 4.0 license | Cartoon elaboration for Figures |
Excel | Microsoft Office Professional Plus 2019 | - | Data analyses |
Fiji software | ImageJ | 15.3t | Imaging rendering and quantitative analyses (FRET signals measurements, ERK fluorescence intensity in IHC assay, embryo axes lenght) |
GraphPad Prism | GraphPad Software LLC | v. 9 | Statistical data analyses |
iControl spectrophotometer software | Tecan | v. 2.0 | RNA quantification |
Illustrator | Adobe | 26.0.3 (64-bit) | Figure assembling |
LASX software | Leica Microsystems | v. 4.5 (Stellaris 5), v. 3.0 (M205FA), v. 3.5 (TCS-SP8X) | Imaging acquisition for spectral FRET experiments and embryo imaging for axes lenght measurements |
Q9 Mini 18.02-SN software | Uvitec | - | Gel image acquisition |
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