How nontraditional model systems can save us

dc.contributor.author Gladfelter, Amy S.
dc.date.accessioned 2016-01-15T19:02:19Z
dc.date.available 2016-01-15T19:02:19Z
dc.date.issued 2015-11-01
dc.description © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Molecular Biology of the Cell 26 (2015): 3687-3689, doi:10.1091/mbc.E15-06-0429. en_US
dc.description.abstract In this essay I would like to highlight how work in nontraditional model systems is an imperative for our society to prepare for problems we do not even know exist. I present examples of how discovery in nontraditional systems has been critical for fundamental advancement in cell biology. I also discuss how as a collective we might harvest both new questions and new solutions to old problems from the underexplored reservoir of diversity in the biosphere. With advancements in genomics, proteomics, and genome editing, it is now technically feasible for even a single research group to introduce a new model system. I aim here to inspire people to think beyond their familiar model systems and to press funding agencies to support the establishment of new model systems. en_US
dc.description.sponsorship U.S. government for generous support of our work through the NIH and the NSF. en_US
dc.format.mimetype application/pdf
dc.identifier.citation Molecular Biology of the Cell 26 (2015): 3687-3689 en_US
dc.identifier.doi 10.1091/mbc.E15-06-0429
dc.identifier.uri https://hdl.handle.net/1912/7738
dc.language.iso en_US en_US
dc.publisher American Society for Cell Biology en_US
dc.relation.uri https://doi.org/10.1091/mbc.E15-06-0429
dc.rights Attribution-NonCommercial-ShareAlike 3.0 Unported *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
dc.title How nontraditional model systems can save us en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication cd5cfe85-6def-4122-8c32-766ef7257afb
relation.isAuthorOfPublication.latestForDiscovery cd5cfe85-6def-4122-8c32-766ef7257afb
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