Pathology of Genetically Engineered and Other Mutant Mice. Группа авторов

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valued for the training of future scientists, discovery of new diseases, understanding the mechanism of disease in mice and other animals, including humans, and in the treatment and prevention of disease in mice and humans [1–8]. Histopathology may be included in the mouse research, but often it is not, or not by someone trained and competent in pathology [9]. The value of pathology has been proven for diagnosis and understanding normal biology and abnormal biology (pathology) of cells, tissues, and organs in all species. Comparative pathology spans all species of animals. But some investigators do not understand the value of pathology, as a discipline, in experimental studies with mice. This book intends to promote the value of mouse pathology in medical research aimed at the discovery of the causes, prevention, and therapy of diseases in both humans and other animals.

Schematic illustration of classes of proteins associated with human genetic diseases.

      Source: Nussbaum (2007). Reprinted with permission of Elsevier

      In contrast to pathology nomenclature, mouse genetic nomenclature is standardized. Chapter 3 focuses on the details of the nomenclature system and discusses how it was developed. While the authors and editors have, for the most part, updated the nomenclature, not all authors were willing to do so. Regardless, one can and should use the Mouse Genome Informatics website to verify all genes and alleles, as discussed in the Chapter 3, to make sure they are working with the correct nomenclature and allelic mutations.

      It is known in human and mouse pathology that cancer pathogenesis follows a scheme of molecular pathogenesis and an associated histopathogenesis [14, 16, 36]. There have been numerous publications on the role of specific genes in tumor pathogenesis in humans and animals. It is not the intention of this book to review the role of all genes for which published information on mouse cancer models is available, but rather to provide samples of some of the more common and important genes that play important roles. GEM may involve a single gene and attempt to mimic the human genetic disorder, or GEM may represent non‐familial genetic changes in the pathways to disease including cancer. Tumor frequency data in wild‐type control mice, especially in aging studies, have often been reported in various strains and stocks [1, 7, 23, 35, 37, 38]. While these reports provide general background information on the frequency of cancer types in a wildtype inbred strain, the actual frequency will vary based on substrain, husbandry, and other factors, necessitating the use of adequate numbers of control mice for studies on frequency of cancers in GEMs.

      A variety of special pathology techniques are important adjuncts to mouse research. These include immunohistochemistry (IHC), in situ hybridization (ISH), ultrastructure, imaging, image analysis, artificial intelligence, machine learning, and a variety of molecular techniques. Most chapters will include examples of these for the various tissues. Some publications offer reviews of the use of IHC in mice [39–42] and Internet sites offer IHC protocols (http://tumor.informatics.jax.org/mtbwi/index.do, https://www.niehs.nih.gov/research/resources/protocols/protocols‐immuno/index.cfm) and whole slide images (http://tumor.informatics.jax.org/mtbwi/lymphomaPathology.jsp).

      Histopathology scoring (grading) of lesion type and severity can often be used for mouse models of disease, genetics, and preclinical development for drugs [6, 34,43–45]. Examples are given in some chapters. The newer fields of image analysis, artificial intelligence, and machine learning

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