This article presents a detailed 3D immunostaining and imaging protocol for prenatal and postnatal ovaries for high-throughput and comparative studies for germ cell quantification and protein localization. We developed this protocol to analyze oocyte numbers in ovaries (N=6-12) at six developmental time points in 10-16 different strains, where 2-4 24-well plates are typically processed at one time. This method can be adapted for other organs or cellular markers. For example, this protocol can be used to label and visualize somatic cells, such as granulosa cells in the ovary, using appropriate antibodies, thus facilitating studies of somatic-germ cell interactions or development of other ovarian cell types.
One limitation of this protocol and antibody combination is the definitive identification of different follicular stages. DNA stains used in immunofluorescence and 2D imaging to identify follicular stages by layers of granulosa cell nuclei are insufficient for 3D approaches. The 4′,6-diamidino-2-Phenylindole (DAPI) or Hoechst are rarely used for whole-organ staining due to limited light penetration and decaying signal in the middle of large tissue. Propidium iodide (PI) is a small molecule able to penetrate deep into the tissue but is difficult to capture on the multiphoton imaging system due to spectral overlap. Better resolution of follicular stages can be achieved by additional markers specific to granulosa cells such anti-Mullerian hormone (AMH) or FOXL247,48. However, although these markers are helpful in differentiating larger growing follicles, they will not distinguish primordial from primary follicles. Until specific markers for these early stages become available, oocyte markers such as DDX4 or GCNA offer the best indicator of follicle development. Further, this protocol works for prenatal male gonads but has not yet been tested in the postnatal testis where its size may be the limiting factor. Critical issues are listed below for better visualization and quantification of germ cells in ovaries of varying sizes and the techniques and steps taken to ensure good quality immunostaining for downstream analysis are highlighted.
The first critical step is to prevent damage to the ovaries before and after fixation. Damaged ovaries may lack parts of the organ structure, affecting the oocyte numbers and skewing the experimental results. To prevent damage, extra somatic tissue is left attached to the larger ovary after dissection to grab with forceps for transferring the ovaries. Further, for smaller ovaries, transferring them with a pipette tip cut wide enough for the ovaries to easily fit within the tip avoids damage. If minor tissue damage results in a part of the ovary missing, it can be mitigated by a computational method where total oocyte numbers in the damaged sample can be extrapolated using intact samples of the same type (Figure 6).
However, computational simulations revealed that the accuracy of prediction diminishes with increasing size of the damaged area (100.8% ± 0.2, 97.2% ± 1.5, and 90.3% ± 1 for 10, 20, and 30% damage, respectively Figure 6C). Based on simulations, we recommend that samples with >30% loss be excluded from analysis. Multiple intact ovaries from the same sample type were used to calculate the average number of oocytes in the area similar to the one missing in damaged sample. This number was then used to predict the total number of oocytes in the ovary with damage. Using similar size area in the same ovary abutting the missing region may be used as an alternative but was not tested.
Another issue is to avoid contaminating cells that might cause autofluorescence. For pubertal ovaries, perfusion, as described above, with both 1x PBS and 1% PFA must be performed to eliminate blood cells that will cause autofluorescence (Figure 2C). Perfusion with PBS should continue until organs, especially the ovaries and kidneys, are cleared of blood and become white before switching to 1% PFA (Figure 1E,F). Inefficient perfusion with PBS will result in a high background that may mask and make the visualization of small oocytes difficult. Perfusion with lower (1%) or higher (4%) percentages of PFA results in better image quality than perfusion with PBS alone; hence, the lower percentage of PFA was used.
Optimization of antibody staining requires attention to several variables. For the permeabilization step, 4 h was found to be ideal for this assay, with periods longer than 4 h (6-8 h tested) resulting in no staining at all. Because the amount and cost of antibodies used for large-scale immunostaining experiments can be high, this protocol was tested and optimized for reusing antibody mixes without any loss of immunostaining quality. For reuse, the antibody mixture must be supplemented with fresh antibody as described in the protocol. Washing steps are also critical for the quality of immunostaining and should be performed longer to achieve a better signal-to-noise ratio during imaging and should be determined for each antibody of choice. For best results, we recommend preparing the ScaleS4(0) clearing solution freshly for each use, while ScaleCUBIC-1 and ScaleCUBIC-2 can be stored at room temperature in the dark for ~1-2 months.
The ScaleCUBIC-1 clearing is performed at 37 °C; importantly, higher temperatures should be avoided as they will result in reagent precipitation, which can affect the quality of the immunostaining. Mounting multiple samples for imaging can be time-consuming. Agar or other embedding methods used in other protocols are labor-intensive and may need an additional re-clearing of samples47,49,50. Reusable silicon gaskets can be used as adhesive wells that are easy to use with coverslips and are offered in different sizes and depths to accommodate other sample sizes. To achieve high-quality images, a sufficient volume of clearing solution must be used; too little will result in poor image quality, and too much solution can leak onto the microscope. This step should be optimized for specific samples depending on their sizes. Glass-bottom dishes may be used but samples must be immobilized for imaging as even the slightest movements will distort the image. Silicon gaskets may be used in combination with a glass-bottom dish and top coverslip to immobilize the samples for imaging. However, this will limit the ability to flip the sample if imaging from both sides is needed due to the size of ovary.
Another critical choice for this large-scale, high-throughput approach was imaging on the Leica DIVE/4TUNE/FALCON platform with two tunable Spectra-Physics multiphoton (MP) lasers. The benefits of using the DIVE platform include ease of sample mounting (described above), minimization of optical distortion (compared to confocal platforms), and most importantly, imaging speed and management of acquired image data. Imaging samples with the multiphoton lasers at higher magnification (16x) is much faster and causes less photodamage than the confocal lasers on the Leica DIVE or SP8 using similar settings for image acquisition with LAS X software.The MP beam is low, its fluorophore excitation is highly localized to the focal point and achieves more depth at low magnification without inflicting photodamage despite a higher number of spatial/axial imaging steps (confocal: ~300-400 sections maximally, MP: >800 sections).
The 16x/NA0.6 objective allows correction for slight refractive index mismatches due to sample and mountant distribution along the optical axis via a mechanical correction collar, which is set optimally for maximal signal, half-way into the sample. Moreover, spherical structures, such as oocytes, can be distorted by confocal image acquisition as depth-dependent localization of the confocal plane (signal) due to mountant and sample refractive index mismatches at a given pinhole setting can occur (Figure 2D). As the fluorescence signal is being captured via the instrument's internal pinhole to remove out-of-focus signal, the intrinsic optical distortion (spherical aberration) may get worse deeper into the sample, which is problematic for larger ovaries (i.e., ~400-600 micrometer thickness).
With the same matching lens-correction settings, virtually no spherical aberration can be detected on the DIVE MP system with varying emission wavelengths, thus simplifying quantification and co-localization studies (Figure 2D). Last, the high-power pulsed laser allows for exciting lower fluorophore concentration deep inside the sample, in particular, when it is used with the Z-depth excitation correction. Moreover, the capture of weaker signals is also enhanced by the MP hybrid detector (HyD-RLDs), which is a combination of regular photomultiplier tubes and avalanche photon-counting detectors, allowing for more than 30 times higher signal detection over a wide range of emission wavelengths.
Light sheet (LS) multiphoton microscopy is another emerging platform for 3D tissue imaging47. However, LS demands more setup time for macroscopic samples, including agar embedding and set up for imaging. Moreover, images acquired at higher magnification with sample rotation can generate large >100 GB files, which may be necessary to remove light sheet shadowing artifacts (due to refractive index mismatches of the outside medium and the interior of the sample, or sample-surface distortions). The presented method of mounting samples in solution in adhesive wells is simple and fast.
Moreover, this approach allows the imaging of multiple ovaries in one well with one setup and without flipping or rotation. However, flipping the coverslip "sandwich" may be needed for larger ovaries. The DIVE system imaging is faster than confocal and LS; at 16x magnification, the prepubertal ovary is imaged in 3-5 min (Z-step 2 µm) and the pubertal ovary in 1 h (Z-step 5 µm). Moreover, files generated in LAS X are of manageable size (2-20 GB), which is also critical for a large number of samples for downstream analysis. Although this immunostaining protocol was optimized for use in combination with the DIVE platform, immunostained samples can be imaged using other MP/LS platforms with some modifications.
The advantage of the whole ovary staining with 3D modeling protocol is the efficient and relatively easy data analysis compared to manual data acquisition in 2D analysis. The IMARIS 3D visualization and analysis software was chosen because it is commercially available and offered by many microscopy cores, does not require programming skills, and is compatible with many image acquisition software platforms such as LAS X from Leica or ZEN from ZEISS. With IMARIS, the standard parameters are set up as highlighted in the protocol section, and these parameters can be used for other images and samples with minor changes, thus improving reproducibility and efficiency.
Image analysis and quantification are optimized for IMARIS software; however, similar analyses can be done on other commercial or open-source data visualization software following similar principles. In conclusion, an optimized protocol has been presented here for imaging entire ovaries for quantitative and qualitative analyses. This was purposefully adapted for the demands of the high-throughput processing that will be increasingly required for toxicology testing, clinical and diagnostic purposes, and genome-wide analyses of regulators of ovarian sufficiency and function.