Abstract
Developmental biologists are interested in the question of how a fertilized egg, equipped with only about 22,000 genes in its nucleus, is able to transform into a complete human being. In this chapter we discuss the functional genomics analysis of mammalian kidney development, using the kidney as a model system to better understand the basic principles of organogenesis. The formation of an organ requires a complex orchestration of gene expression in many different cell types at multiple developmental stages. The driving gene expression patterns can be captured in a variety of ways. Laser capture microdissection (LCM) can be used to isolate developmental compartments of the kidney, such as the forming glomerulus, for gene expression profiling. Transgenic lines of mice can be used to fluorescently label specific cell types that can then be purified by fluorescent activated cell sorting (FACS). And more recent very high resolution technologies allow high throughput RNA-seq of single cells of a developing organ. These methodologies produce immense datasets that require powerful informatics tools for their analysis. The purpose of this chapter is to illustrate how these various tools can be used to address important questions in developmental biology that are highly relevant to child health, and development of the kidney. The huge amounts of data generated need to be captured and annotated in a systematic way, stored, integrated and analyzed. The goal is to identify basic principles as well as precise pathways that drive organogenesis. The results will provide a better understanding of developmental disorders, and guide efforts to recapitulate organogenesis in vitro, for example in the generation of replacement organs from induced pluripotent stem cells.
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Potter, S.S. (2016). Functional Genomics-Renal Development and Disease. In: Hutton, J. (eds) Pediatric Biomedical Informatics. Translational Bioinformatics, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-10-1104-7_20
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DOI: https://doi.org/10.1007/978-981-10-1104-7_20
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