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How nontraditional model systems can save us.

Publication ,  Journal Article
Gladfelter, AS
Published in: Mol Biol Cell
November 1, 2015

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.

Duke Scholars

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Published In

Mol Biol Cell

DOI

EISSN

1939-4586

Publication Date

November 1, 2015

Volume

26

Issue

21

Start / End Page

3687 / 3689

Location

United States

Related Subject Headings

  • Proteomics
  • Models, Biological
  • Humans
  • Genomics
  • Developmental Biology
  • Computational Biology
  • 3101 Biochemistry and cell biology
  • 11 Medical and Health Sciences
  • 06 Biological Sciences
 

Citation

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Gladfelter, A. S. (2015). How nontraditional model systems can save us. Mol Biol Cell, 26(21), 3687–3689. https://doi.org/10.1091/mbc.E15-06-0429
Gladfelter, Amy S. “How nontraditional model systems can save us.Mol Biol Cell 26, no. 21 (November 1, 2015): 3687–89. https://doi.org/10.1091/mbc.E15-06-0429.
Gladfelter AS. How nontraditional model systems can save us. Mol Biol Cell. 2015 Nov 1;26(21):3687–9.
Gladfelter, Amy S. “How nontraditional model systems can save us.Mol Biol Cell, vol. 26, no. 21, Nov. 2015, pp. 3687–89. Pubmed, doi:10.1091/mbc.E15-06-0429.
Gladfelter AS. How nontraditional model systems can save us. Mol Biol Cell. 2015 Nov 1;26(21):3687–3689.

Published In

Mol Biol Cell

DOI

EISSN

1939-4586

Publication Date

November 1, 2015

Volume

26

Issue

21

Start / End Page

3687 / 3689

Location

United States

Related Subject Headings

  • Proteomics
  • Models, Biological
  • Humans
  • Genomics
  • Developmental Biology
  • Computational Biology
  • 3101 Biochemistry and cell biology
  • 11 Medical and Health Sciences
  • 06 Biological Sciences