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Pigs are important livestock for food and have been used in various biomedical studies, particularly translational research, as experimental animals because of their anatomical and physiological similarity to humans. The recent development of genome editing techniques, such as ZFN, TALEN, and CRISPR/Cas9, has rapidly expanded the use of genome editing tools in a variety of animals, resulting in the relatively easy and efficient generation of gene knock-out pigs. In the past few years, there has been a sustained increase in reports describing the development of genetically modified pigs. This chapter introduces our workflow for establishing the genetically modified cells (nuclear donor cells) necessary to create gene knock-out pigs using somatic cell nuclear transfer and focuses on the actual generation of gene knock-out pigs using a cytoplasmic injection method.
Gene Editing, Nuclear Transfer Techniques, Swine, Sus scrofa, Fertilization in Vitro, Injections, Workflow, Animals, Genetically Modified, Gene Knockout Techniques, Transcription Activator-Like Effector Nucleases, Humans, Animals, CRISPR-Cas Systems
Gene Editing, Nuclear Transfer Techniques, Swine, Sus scrofa, Fertilization in Vitro, Injections, Workflow, Animals, Genetically Modified, Gene Knockout Techniques, Transcription Activator-Like Effector Nucleases, Humans, Animals, CRISPR-Cas Systems
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |