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- Chris Somerville
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Stefan Bauer
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Ginger Brininstool
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Michelle Facette
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Thorsten Hamann
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Jennifer Milne
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Erin Osborne
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Alex Paredez
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Staffan Persson
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Ted Raab
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Sonja Vorwerk
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
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- Heather Youngs
- Carnegie Institution, Department of Plant Biology, 260 Panama Street, Stanford, CA 94305, USA.
抄録
<jats:p>One of the defining features of plants is a body plan based on the physical properties of cell walls. Structural analyses of the polysaccharide components, combined with high-resolution imaging, have provided the basis for much of the current understanding of cell walls. The application of genetic methods has begun to provide new insights into how walls are made, how they are controlled, and how they function. However, progress in integrating biophysical, developmental, and genetic information into a useful model will require a system-based approach.</jats:p>
収録刊行物
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- Science
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Science 306 (5705), 2206-2211, 2004-12-24
American Association for the Advancement of Science (AAAS)
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キーワード
詳細情報 詳細情報について
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- CRID
- 1361981470888268416
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- NII論文ID
- 30020395816
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- ISSN
- 10959203
- 00368075
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- データソース種別
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