
Systems biology seeks not only to discover the machinery of life but to understand how such machinery is used for control, i.e., for regulation that achieves or maintains a desired, useful end. This sort of goal-directed, engineering-centered approach also has deep historical roots in developmental biology. Not surprisingly, developmental biology is currently enjoying an influx of ideas and methods from systems biology. This Review highlights current efforts to elucidate design principles underlying the engineering objectives of robustness, precision, and scaling as they relate to the developmental control of growth and pattern formation. Examples from vertebrate and invertebrate development are used to illustrate general lessons, including the value of integral feedback in achieving set-point control; the usefulness of self-organizing behavior; the importance of recognizing and appropriately handling noise; and the absence of "free lunch." By illuminating such principles, systems biology is helping to create a functional framework within which to make sense of the mechanistic complexity of organismal development.
570, Biomedical and clinical sciences, Biochemistry, Genetics and Molecular Biology(all), Systems Biology, Biological Sciences, Medical and Health Sciences, Invertebrates, Biological sciences, Vertebrates, Morphogenesis, Animals, Drosophila, Biochemistry and Cell Biology, Generic health relevance, Developmental Biology
570, Biomedical and clinical sciences, Biochemistry, Genetics and Molecular Biology(all), Systems Biology, Biological Sciences, Medical and Health Sciences, Invertebrates, Biological sciences, Vertebrates, Morphogenesis, Animals, Drosophila, Biochemistry and Cell Biology, Generic health relevance, Developmental Biology
| selected citations These citations are derived from selected sources. 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). | 197 | |
| 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 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
