The developmental nephrome: systems biology in the developing kidney

The developmental nephrome: systems biology in the developing kidney

Author Monte, Julio C. Google Scholar
Sakurai, Hiroyuki Google Scholar
Bush, Kevin T. Google Scholar
Nigam, Sanjay K. Google Scholar
Institution Univ Calif San Diego
Universidade Federal de São Paulo (UNIFESP)
Abstract Purpose of reviewA set of important genes and signaling pathways involved in kidney development is emerging from analyses of mutant mice, in-vitro models, and global gene expression patterns. Conversion of data into dynamic models or networks through the synthesis of information at multiple levels is crucial for a better understanding of kidney development.Recent findingsGenetic and in-vitro evidence is beginning to provide a limited sense of the network topology in stages, of kidney development. Intriguing data from other fields suggest how, with the aid of large-scale gene expression studies, these stages might be represented as dynamic attractor states. It is also suggested how branching morphogenesis of the epithelial ureteric bud may be sustained by an autocatalytic set of proteins whose interactions lead to repeated rounds of tip and stalk generation. Accumulating data in lower organisms suggest network topologies may be quite flexible, and the implications of these results for varieties of tubulogenesis and renal regeneration after acute injury are discussed.SummaryCurrently it may be feasible to build tentative dynamic multistage models of nephrogenesis that facilitate experimental thinking. As data accumulate, it may become possible to test their predictive value.
Keywords acute renal failure
branching morphogenesis
nonlinear dynamics
scale-free network
Language English
Date 2007-01-01
Published in Current Opinion in Nephrology and Hypertension. Philadelphia: Lippincott Williams & Wilkins, v. 16, n. 1, p. 3-9, 2007.
ISSN 1062-4821 (Sherpa/Romeo, impact factor)
Publisher Lippincott Williams & Wilkins
Extent 3-9
Access rights Closed access
Type Review
Web of Science ID WOS:000243149100002

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