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In translational medicine, pigs are increasingly common for use as large animal models1,2,3,4,5, due to several advantageous similarities between the porcine and human anatomy and physiology, and the availability of established molecular biological methods allowing for generation of tailored, genetically modified pig models for a wide range of disease conditions1,4.
However, compared to rodent models, the number of animals of a respective pig model that can be provided for experiments at any time is limited. This is due to the porcine generation interval of approximately one year, and the financial and time-intensive efforts required for the generation of porcine models and animal husbandry. Therefore, individual animals of a porcine model, as well as the samples that can be generated from these pigs, are very valuable, particularly if genetically modified porcine models and/or long-term experimental issues (e.g., late complications of chronic diseases) are examined in aged individuals2,6,7.
In the course of any study, performance of additional analyses which had not been scheduled in the initial experimental design of the study might later turn out to be relevant, e.g., to address distinct questions arising from previously discovered unexpected findings. If suitable samples for such additional experiments are not available, disproportionally high cost and time-intensive expenditures might be necessary to generate additional pigs and tissue samples. To be prepared for such eventualities, generation of biobank collections of conserved back-up samples of different organs, tissues, or bio-liquids, quantitatively and qualitatively suitable for a broad range of subsequent analyses, is considered an important approach2,6,7. Deriving optimal benefits from a porcine animal model, the availability of adequate biobank samples also offers the unique possibility to perform a broad spectrum of different analysis methods on identical sample materials on a multi-organ level in the very same individual animals, e.g., by distribution of samples to scientists of different working-groups organized in a research network2,6,7. Additionally, the ''forward-looking'' sampling strategy in biobanking also contributes to a reduction of the number of animals needed in a study. The advantages of porcine model biobanking have recently been demonstrated in a multi-organ, multiomics study, examining organ cross talk in a genetically modified porcine model of long-term diabetes mellitus, using specimens from the Munich MIDY Pig Biobank2.
There are some mandatory requirements biobank samples must generally comply with to establish the reliability and interpretability of the results of the subsequently performed analyses. The samples must be generated reproducibly, and they must be representative, i.e., adequately reflecting the interested morphological and molecular features of the tissue/organ the samples were taken from7. To be suitable for a wide range of downstream analysis types, the samples must be taken in sufficient quantities and processed according to the demands (including time and temperature conditions) of the different analytical methods, including descriptive histopathological analyses, such as cryohistology, paraffin and plastic histology, immunohistochemistry, in situ hybridization, ultrastructural electron microscopic analyses, and clinical laboratory diagnostic analyses, as well as molecular analyses of DNA, RNA, proteins, and metabolites.
To allow for the assessment of a wide range of distinct quantitative morphological parameters such as numbers, volumes, lengths, or surface areas of distinct tissue structures by quantitative stereological analyses, randomized section planes of the histological samples of the respective organs/tissues need to be prepared7,8,9,10,11. In quantitative morphological studies, the precise determination of the total volume of the tissue, organ, or organ compartment, the samples were taken from (i.e., the reference space) is crucially important7,9,12 to calculate the absolute quantities of the interested parameters within the respective organ, tissue, or organism. Eventually, the effect of embedding-related tissue shrinkage during preparation of histological sections has to be determined and taken into account13. Therefore, quantitative stereological analyses, especially of archived samples (fixed tissue samples, embedded tissue blocks, histological sections, etc.) from previous studies are sometimes severely limited or even impossible12, particularly if volumetry of the respective organs/tissues was not performed, if no adequate sampling designs were applied to warrant representative samples, if the numbers and amounts of available individual samples are insufficient, or if the processing of the samples is incompatible with estimation of the quantitative morphological parameter(s) of interest. Due to the manifold possible influencing factors, the suitability of archive-sample materials for analyses of distinct quantitative morphological parameters cannot unequivocally be answered, but depends on the careful assessment of each individual case.
Thus, as the location, size, number, processing, trimming direction, and orientation of samples will potentially affect the results of the subsequent analyses, these factors are of great importance and must be considered in the experimental design of any study. With regard to these aspects and the special features of the porcine anatomy, comprehensive, detailed, large-scale sampling guidelines adapted to porcine animal models have recently been established, providing a robust reference to standardized, reproducible, and efficient generation of redundant, adequately processed, high-quality samples from more than 50 different porcine organs and tissues6,7.
The methodological descriptions and the video tutorial shown in the present article provide detailed, illustrative, comprehensible, step-by step instructions for practical performance of a variety of techniques for volumetry, sampling of porcine tissues and organs, and processing of tissue samples for different downstream analysis methods. The featured techniques include methods for determination of organ/tissue volumes and densities based on the principles of Archimedes and Cavalieri9, including determination of the dimensions of three-dimensional shrinkage of tissue related to the embedding in different embedding media14 during processing for histological examination, application of practicable volume-weighted systematic random sampling approaches, processing of sampled tissue specimens for different subsequent analyses7,8,9,15, and generation of appropriately oriented and processed samples for potential quantitative stereological analyses7,8,9,10,11. Next to their application in porcine biobank projects, the demonstrated methods are generally appropriate for all studies examining quantitative histo-morphological properties of organs/tissues. Moreover, systematic random sampling designs are particularly beneficial for generation of representative samples in experiments using molecular analysis methods to detect abundance alterations of, e.g., RNAs, proteins, or metabolites in various organs and tissues.
The next paragraphs provide a brief introduction to these methods, while their practical performance is described in the protocol section.
Determination of organ/tissue volumes
Determination of organ weights and volumes is important in several experimental settings, as these factors might indicate changes, potentially related to experimentally examined factors of interest. The total volume of an organ/tissue is also commonly required to calculate absolute quantitative parameters, (e.g., the total cell number), from stereologically estimated numerical volume densities (i.e., the number of cells per volume unit of tissue)7,12. Apart from techniques using complex technical equipment, such as computer tomography, there are basically three practical methods commonly used to determine the absolute volume of an organ or tissue. The volume of an organ can be determined by "direct volumetric measurement" according to the principle of Archimedes, i.e., measuring the volume of water or saline displaced by the structure when completely submerged. However, for comparably large porcine organs, these approaches are impractical and prone to imprecision, since they require very large volumetric/measuring flasks. More conveniently, the volume of an organ/tissue can be calculated from its weight and density7,12,16, which can efficiently be determined using the "submersion method"7,12,16 (protocol step 1.1.). Organ/tissue volumes can also be estimated using volumetry approaches based on the "principle of Cavalieri" (1598–1647). In simple terms, the Cavalieri principle states, that if two objects are sectioned in planes parallel to a ground plane, and the profiles of the sections cut through the two objects at corresponding distances from the ground plane have the same areas, the two objects have the same volume. Thus, the volume of arbitrarily shaped objects can be estimated as the product of their section profile areas in parallel, equally distant section planes and the distance between the section planes. This is comprehensible with the following analogy: consider two stacks consisting of the same number of identical coins are placed side by side, one stack with the coins orderly stacked on top of one another yielding a cylindrical shape of the coin stack, and the other stack of coins with off-center positioned coins (Figure 3A). Although the shapes of both coin stacks are different, their volumes are the same, since the areas of the coins at corresponding levels of both stacks (i.e., the areas of profiles of parallel sections cut through both coin stacks in equal distances from the ground) are identical. Estimation of the volumes of porcine organs and tissues using the Cavalieri principle7,12,15 is described in step 1.2.
Determination of the extent of tissue shrinkage related to histological embedding
In analyses of several quantitative morphological parameters measured in histological tissue sections, the effect of embedding-related tissue shrinkage occurring during tissue processing for histology has to be determined and taken into account. The extent of embedding-related tissue shrinkage may be variable, and depends both on the tissue, its processing, and the embedding medium8,13,17,18,19. Generally, embedding-related changes of the volume of a tissue sample (i.e., mostly shrinkage) occur in all three dimensions of space, and, therefore, affects all dimensional parameters estimated by quantitative stereological analyses8. Basically, the extent of embedding-related tissue shrinkage, expressed as the linear tissue shrinkage factor (fS), can be estimated as shown in step 1.3. and used for correction of (shrinkage-sensitive) quantitative morphological parameters14.
Volume-weighted systematic random sampling of organs/tissues
For establishment of a biobank collection of porcine organ/tissue samples, volume-weighted systematic random sampling approaches such as described in step 2 have proven to be practical, time-saving, and efficient techniques for generation of representative, multi-purpose tissue samples7,8,9,15.
Generation of Isotropic Uniform Random sections and Vertical Uniform Random sections for quantitative stereological analyses
Biobank tissue samples need to be suitable for a wide range of different quantitative stereological analysis methods for estimation of a maximum of parameters that could not be determined without an adequately prepared specimen. Nearly all quantitative stereological parameters can be determined, using "isotropic (independent) uniform random (IUR) sections"8,9. In IUR sections, the three-dimensional orientation of the section plane of the tissue sample is randomized. This can be achieved by randomization of the position of the tissue sample relative to the position of the section plane, as applied in the "Isector" method11 (protocol step 3.1), or by randomization of the orientation of the section plane relative to the tissue sample, as in the "Orientator" method10 (protocol step 3.2). In tissue samples, such as skin- or mucosa specimen displaying a naturally present, or defined and properly identifiable vertical axis, preparation of "vertical uniform random (VUR) sections" (protocol step 3.3.) strictly sectioned within the plane of their vertical axis is advantageous8,20. For a complete discourse of the theoretical foundations of IUR/VUR sampling and a comprehensive discussion of potential downstream quantitative stereological analyses, the interested reader is referred to the textbooks of quantitative stereology in life sciences8,9.