Article
Nature 453, 745-750 (5 June 2008) | doi:10.1038/nature07005; Received 26 December 2007; Accepted 15 April 2008; Published online 7 May 2008
The branching programme of mouse lung development
Ross J. Metzger1,3, Ophir D. Klein2,3, Gail R. Martin2 & Mark A. Krasnow1
- Department of Biochemistry and HHMI, Stanford University School of Medicine, Stanford, California 94305-5307, USA
- Department of Anatomy and Program in Developmental Biology, School of Medicine, University of California at San Francisco, San Francisco, California 94158-2324, USA
- Present addresses: Department of Anatomy, School of Medicine, University of California at San Francisco, California 94158-2517, USA (R.J.M.); Departments of Orofacial Sciences and Pediatrics, and Institute of Human Genetics, Schools of Dentistry and Medicine, University of California at San Francisco, San Francisco, California 94143-0442, USA (O.D.K.).
Correspondence to: Ross J. Metzger1,3Mark A. Krasnow1 Correspondence and requests for materials should be addressed to R.J.M. (Email: ross.metzger@ucsf.edu) or M.A.K. (Email: krasnow@cmgm.stanford.edu).
Abstract
Mammalian lungs are branched networks containing thousands to millions of airways arrayed in intricate patterns that are crucial for respiration. How such trees are generated during development, and how the developmental patterning information is encoded, have long fascinated biologists and mathematicians. However, models have been limited by a lack of information on the normal sequence and pattern of branching events. Here we present the complete three-dimensional branching pattern and lineage of the mouse bronchial tree, reconstructed from an analysis of hundreds of developmental intermediates. The branching process is remarkably stereotyped and elegant: the tree is generated by three geometrically simple local modes of branching used in three different orders throughout the lung. We propose that each mode of branching is controlled by a genetically encoded subroutine, a series of local patterning and morphogenesis operations, which are themselves controlled by a more global master routine. We show that this hierarchical and modular programme is genetically tractable, and it is ideally suited to encoding and evolving the complex networks of the lung and other branched organs.
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