| Bioinspirations: cell-inspired small-scale systems for enabling studies in experimental biomechanics. | |
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MedLine Citation:
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PMID: 21705801 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Biomechanical forces govern the behaviors of organisms and their environment and examining these behaviors to understand the underlying phenomena is an important challenge. One experimental approach for probing these interactions between organisms and their biomechanical environment uses biologically-inspired, artificial surrogates that reproduce organic mechanical systems. For the case of complex, multicellular organisms, robot surrogates have been particularly effective, such as in the analysis of the fins of fish and insects' wings. This biologically-inspired approach is also exciting when examining cell-scale responses as multicellular organisms' behavior is directly influenced by the integrated interactions of smaller-scale components (i.e., cells). In this review, we introduce the burgeoning field of engineering of artificial cells, which focuses on developing cell-scale entities replicating cellular behaviors. We describe both a bottom-up approach to constructing artificial cells, using molecular components to directly assemble artificial cells, as well as a top-down approach, in which living cells are encapsulated in a single entity whose behavior is determined by its constituent members. In particular, we discuss the potential role of these artificial cells as implantable controllers, designed to alter the mechanical behavior of a host organism. Eventually, artificial cells designed to function as small-scale controllers may help alter organisms' phenotypes. |
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Authors:
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Warren C Ruder; Philip R Leduc |
Publication Detail:
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Type: Journal Article Date: 2011-05-05 |
Journal Detail:
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Title: Integrative and comparative biology Volume: 51 ISSN: 1557-7023 ISO Abbreviation: Integr. Comp. Biol. Publication Date: 2011 Jul |
Date Detail:
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Created Date: 2011-06-27 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101152341 Medline TA: Integr Comp Biol Country: England |
Other Details:
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Languages: eng Pagination: 133-41 Citation Subset: IM |
Affiliation:
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*Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA; Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA; Department of Computational Biology, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA; Department of Biological Sciences, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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